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Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

ARM - Datastreams - moltsedassfcclass0  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmoltsedassfcclass0 Datastreamsmoltsedassfcclass0 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSFCCLASS0 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., basic surface, params, stations Active Dates 1997.06.01 - 1999.09.27 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model Output Location Time Series (MOLTS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Horizontal wind U_wind Horizontal wind V_wind Precipitation baseflow Cloud fraction cloud_hi Cloud fraction cloud_low Cloud fraction

2

ARM - Datastreams - moltsedassndclass1  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmoltsedassndclass1 Datastreamsmoltsedassndclass1 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSNDCLASS1 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., enhances soundings, params, stations Active Dates 1997.06.01 - 2013.07.31 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model Output Location Time Series (MOLTS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Cloud fraction cloud_fract Atmospheric moisture cloud_h2o_mix Latent heat flux conv_lat_heat Atmospheric moisture humid Ice water content

3

ARM - Datastreams - 1290bsrwpprecipavg  

NLE Websites -- All DOE Office Websites (Extended Search)

bsrwpprecipavg bsrwpprecipavg Documentation Data Quality Plots Citation DOI: 10.5439/1095572 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1290BSRWPPRECIPAVG 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream Active Dates 2012.12.12 - 2013.06.03 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt MET data averaging interval. s averaging_interval ( mode ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

4

ARM - Datastreams - mmcrmom  

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Datastreamsmmcrmom Datastreamsmmcrmom Documentation Data Quality Plots Citation DOI: 10.5439/1025228 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mmcrmom Archive Data Plot Example mmcrmom Archive Data Plot Datastream : MMCRMOM Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09 Active Dates 2003.09.27 - 2014.01.02 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Millimeter Wavelength Cloud Radar (MMCR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Average Noise Level (S/N<0) dB AvgNoiseLevel ( time )

5

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsMulti-Functional Transport StreamsMulti-Functional Transport Satellite Documentation MTSAT Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Multi-Functional Transport Satellite (MTSAT) Information updated on March 19, 2009, 8:59 pm GMT General Data Description The Multi-functional Transport Satellite (MTSAT) series fulfills two functions: a meteorological function by the Japan Meteorological Agency and an aviation control function by for the Civil Aviation Bureau of the Ministry of Land, Infrastructure and Transport. The MTSAT series succeeds the Geostationary Meteorological Satellite (GMS) series as the next generation geostationary satellite series covering the East Asia and the

6

ARM - Datastreams - 1440twr25m  

NLE Websites -- All DOE Office Websites (Extended Search)

Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1440TWR25M Sixty Meter Tower: daily minimummaximum met data, with times, at 25-m height Active Dates...

7

ARM - Datastreams - 1440twr60m  

NLE Websites -- All DOE Office Websites (Extended Search)

Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1440TWR60M Sixty Meter Tower: daily minimummaximum met data, with times, at 60-m height Active Dates...

8

ARM - Datastreams - sashenirlowsun  

NLE Websites -- All DOE Office Websites (Extended Search)

Send Datastream : SASHENIRLOWSUN Shortwave Array Spectroradiometer-Hemispheric, Near-InfraRed channel, low-sun angles a0 data is uncalibrated Active Dates 2011.03.22 -...

9

ARM - Datastreams - aosso2  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaosso2 Datastreamsaosso2 Documentation Data Quality Plots Citation DOI: 10.5439/1095586 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSSO2 AOS: Sulfur Dioxide Analyzer Active Dates 2012.06.24 - 2013.04.17 Measurement Categories Atmospheric Carbon, Atmospheric State Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Instrument automatic gain control % automatic_gain_control ( time ) Instrument averaging time seconds averaging_time ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

10

ARM - Datastreams - sondewrpn  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamssondewrpn Datastreamssondewrpn Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SONDEWRPN Balloon-borne sounding system (BBSS): research winds, Vaisala press., temp, &RH Active Dates 1994.04.20 - 2002.05.27 Measurement Categories Atmospheric State Originating Instrument Balloon-Borne Sounding System (SONDE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable altitude meters above Mean Sea Level alt ( time ) Ascent Rate m/s asc ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Horizontal wind Wind Direction deg deg ( time )

11

ARM - Datastreams - aoscpc  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaoscpc Datastreamsaoscpc Documentation Data Quality Plots Citation DOI: 10.5439/1025152 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSCPC AOS: condensation particle counter Active Dates 2011.03.09 - 2014.01.09 Measurement Categories Aerosols Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Ambient temperature C ambient_temp ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Cabinet temperature C cabinet_temp ( time ) Aerosol concentration Particle concentration parts/cc concentration ( time )

12

ARM - Datastreams - aoscpcu  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaoscpcu Datastreamsaoscpcu Documentation Data Quality Plots Citation DOI: 10.5439/1046186 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSCPCU AOS: Ultrafine Condensation Particle Counter Active Dates 2012.06.24 - 2013.04.02 Measurement Categories Aerosols Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Ambient pressure kPa ambient_pressure ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Cabinet temperature degC cabinet_temp ( time ) Aerosol concentration Particle concentration parts/cc concentration ( time )

13

ARM - Datastreams - sondewnpr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamssondewnpr Datastreamssondewnpr Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SONDEWNPR Balloon-borne sounding system (BBSS): Vaisala winds, research press., temp, &RH Active Dates 1997.09.18 - 1997.09.26 Measurement Categories Atmospheric State Originating Instrument Balloon-Borne Sounding System (SONDE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt ( time ) Ascent Rate m/s asc ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Horizontal wind Wind Direction deg deg ( time )

14

ARM - Datastreams - sebs  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamssebs Datastreamssebs Documentation Data Quality Plots Citation DOI: 10.5439/1025274 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SEBS Surface Energy Balance System Active Dates 2010.10.01 - 2014.01.03 Measurement Categories Radiometric, Surface Properties Originating Instrument Surface Energy Balance System (SEBS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Albedo fraction albedo ( time ) Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Battery voltage V battery_voltage ( time ) Soil heat flow 1, corrected for soil moisture W/m^2 corr_soil_heat_flow_1 ( time )

15

ARM - Datastreams - aoscpcf  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaoscpcf Datastreamsaoscpcf Documentation Data Quality Plots Citation DOI: 10.5439/1046184 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSCPCF AOS: Condensation Particle Counter Active Dates 2010.10.14 - 2014.01.09 Measurement Categories Aerosols Originating Instrument Condensation Particle Counter (CPC) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Ambient pressure kPa ambient_pressure ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Cabinet temperature degC cabinet_temp ( time ) Aerosol concentration Particle concentration parts/cc concentration ( time )

16

ARM - Datastreams - aossmps  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaossmps Datastreamsaossmps Documentation Data Quality Plots Citation DOI: 10.5439/1095583 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSSMPS AOS: Scanning-Mobility Particle Sizer Active Dates 2012.07.03 - 2013.03.10 Measurement Categories Aerosols Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable CPC inlet flow rate lpm CPC_inlet_flow ( time ) CPC sample flow rate lpm CPC_sample_flow ( time ) Aerosol flow rate lpm aerosol_flow ( time ) Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

17

ARM - Datastreams - sondewrpr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamssondewrpr Datastreamssondewrpr Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SONDEWRPR Balloon-borne sounding system (BBSS): research-mode winds, presssure, temp, &RH Active Dates 1994.04.07 - 1998.08.28 Measurement Categories Atmospheric State Originating Instrument Balloon-Borne Sounding System (SONDE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt ( time ) Ascent Rate m/s asc ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Horizontal wind Wind Direction deg deg ( time )

18

ARM - Datastreams - rain  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsrain Datastreamsrain Documentation Data Quality Plots Citation DOI: 10.5439/1025264 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : RAIN Rain gauge Active Dates 2006.03.01 - 2014.01.09 Measurement Categories Atmospheric State Originating Instrument Rain Gauge (RAIN) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Record with error unitless error_latch ( time ) Frequency average, sensor 1 Hz frequency1 ( time ) Frequency average, sensor 2 Hz frequency2 ( time )

19

ARM - Datastreams - mwacr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmwacr Datastreamsmwacr Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MWACR Marine W-band (95 GHz) ARM Cloud Radar Active Dates 2012.11.01 - 2013.10.09 Measurement Categories Cloud Properties Originating Instrument Marine W-Band (95 GHz) ARM Cloud Radar (MWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Receiver gain estimated from noise source measurements using Y-factor method dB gain ( time ) GPS-determined velocity vector heading angle deg gps_heading ( time )

20

ARM - Datastreams - sws  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamssws Datastreamssws Documentation Data Quality Plots Citation DOI: 10.5439/1025301 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWS Shortwave spectroradiometer (SWS): spectral data Active Dates 1999.09.21 - 2014.01.09 Measurement Categories Radiometric Originating Instrument Shortwave Spectroradiometer (SWS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time North latitude degree_N lat East longitude degree_E lon Quality check results on field: Time offset from midnight unitless qc_time ( time )

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

ARM - Datastreams - tps  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamstps Datastreamstps Documentation Data Quality Plots Citation DOI: 10.5439/1025305 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : TPS Total Precipitation Sensor Active Dates 2006.08.23 - 2014.01.09 Measurement Categories Atmospheric State Originating Instrument Total Precipitation Sensor (TPS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Atmospheric temperature Air temperature degree C air_temp ( time ) Mean air temperature, fahrenheit degree F air_temp_mean_fahr ( time ) Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

22

ARM - Datastreams - 1290rwpwindmom  

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rwpwindmom rwpwindmom Documentation Data Quality Plots Citation DOI: 10.5439/1025032 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1290RWPWINDMOM 1290-MHz Radar Wind Profiler/RASS (RWP1290): wind moments Active Dates 2007.03.19 - 2012.03.31 Measurement Categories Cloud Properties Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Beam azimuth angle deg beam_azimuth ( time ) Beam elevation angle deg beam_elevation ( time )

23

ARM - Datastreams - 50rwpwindspec  

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rwpwindspec rwpwindspec Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 50RWPWINDSPEC 50-MHz Radar Wind Profiler/RASS (RWP50): wind spectra Active Dates 2001.04.01 - 2006.05.04 Measurement Categories Aerosols, Cloud Properties Originating Instrument Radar Wind Profiler (50 MHz) (50RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Beam azimuth angle deg beam_azimuth ( time ) Beam elevation angle deg beam_elevation ( time ) Spectral bin number unitless bins ( bins )

24

ARM - Datastreams - dlrhi  

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Datastreamsdlrhi Datastreamsdlrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046188 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLRHI Doppler LIDAR Range-Height Indicator scan Active Dates 2011.07.21 - 2012.03.31 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Backscattered radiation Attenuated backscatter 1/(m sr) attenuated_backscatter ( time, range ) Azimuth relative to true north degrees azimuth ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

25

ARM - Datastreams - kazrge  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamskazrge Datastreamskazrge Documentation Data Quality Plots Citation DOI: 10.5439/1025214 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KAZRGE Ka ARM Zenith Radar (KAZR): general mode Active Dates 2011.01.18 - 2014.01.09 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Ka ARM Zenith Radar (KAZR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Radar calibration constant, copolar dB cal_constant_copol ( time ) Radar calibration constant, cross-polar dB cal_constant_xpol ( time )

26

ARM - Datastreams - pars2  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamspars2 Datastreamspars2 Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : PARS2 OTT Parsivel2 Laser Disdrometer Active Dates 2012.09.24 - 2013.09.26 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Laser Disdrometer (LDIS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Class size width mm class_size_width ( particle_size ) Diameter of largest drop observed mm diameter_max ( time ) Diameter of smallest drop observed mm diameter_min ( time )

27

ARM - Datastreams - aosnox  

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Datastreamsaosnox Datastreamsaosnox Documentation Data Quality Plots Citation DOI: 10.5439/1095582 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSNOX AOS: Oxides of Nitrogen Analyzer Active Dates 2012.06.24 - 2013.04.01 Measurement Categories Atmospheric Carbon, Atmospheric State Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time No description given degC inlet_conv_temp ( time ) One minute average of inlet MFC for the NOx channel SLPM inlet_nox_mfc ( time )

28

ARM - Datastreams - rphtilt  

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Datastreamsrphtilt Datastreamsrphtilt Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : RPHTILT RPH stabilized platform tilt Active Dates 2012.09.29 - 2013.10.09 Measurement Categories Surface Properties Originating Instrument Stabilized Platform (S-TABLE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time North latitude degree_N lat East longitude degree_E lon Surface condition Pitch angle reported by tilt table degrees pitch ( time ) Surface condition Roll angle reported by tilt table degrees roll ( time )

29

ARM - Datastreams - dlcal1  

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Datastreamsdlcal1 Datastreamsdlcal1 Documentation Data Quality Plots Citation DOI: 10.5439/1025183 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLCAL1 Doppler Lidar - calibration channel 1 Active Dates 2010.10.30 - 2010.12.21 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Backscattered radiation Attenuated backscatter 1/(m sr) attenuated_backscatter ( time, range ) Azimuth relative to true north degrees azimuth ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

30

ARM - Datastreams - dlrhi2  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsdlrhi2 Datastreamsdlrhi2 Documentation Data Quality Plots Citation DOI: 10.5439/1025188 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLRHI2 Doppler Lidar - Range-Height Indicator #2 Active Dates 2010.10.21 - 2010.11.21 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Backscattered radiation Attenuated backscatter 1/(m sr) attenuated_backscatter ( time, range ) Azimuth relative to true north degrees azimuth ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

31

ARM - Datastreams - sashevis  

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Datastreamssashevis Datastreamssashevis Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SASHEVIS Shortwave Array Spectroradiometer-Hemispheric, VISible channel Active Dates 2012.03.23 - 2014.01.09 Originating Instrument Shortwave Array Spectroradiometer-Hemispheric (SASHE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Temperature of Si CCD AD board degC ad_temperature_spectrometer_vis ( time ) Airmass unitless airmass ( time ) Altitude above mean sea level m alt Atmospheric pressure kPa atmos_pressure ( time ) Band axis orientation with respect to north degree_N band_azimuth ( time )

32

ARM - Datastreams - aosco  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaosco Datastreamsaosco Documentation Data Quality Plots Citation DOI: 10.5439/1046183 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSCO AOS: Carbon Monoxide Analyzer Active Dates 2012.06.24 - 2013.04.17 Measurement Categories Atmospheric Carbon, Atmospheric State Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Ambient temperature of instrument C ambient_temperature ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Trace gas concentration Carbon monoxide (CO) mixing ratio calculated with nominal sensitivity correction ppmv co ( time )

33

ARM - Datastreams - sashemfr  

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Datastreamssashemfr Datastreamssashemfr Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SASHEMFR Pixels from SASHe corresponding to MFR radiometer wavelengths Active Dates 2012.03.23 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Shortwave Array Spectroradiometer-Hemispheric (SASHE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Temperature of Si CCD AD board degC ad_temperature_spectrometer_vis ( time ) Airmass unitless airmass ( time ) Altitude above mean sea level m alt Atmospheric pressure kPa atmos_pressure ( time ) Band axis orientation with respect to north degree_N band_azimuth ( time )

34

ARM - Datastreams - gvr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsgvr Datastreamsgvr Documentation Data Quality Plots Citation DOI: 10.5439/1095594 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : GVR G-band (183 GHz) Vapor Radiometer Active Dates 2006.09.28 - 2014.01.02 Measurement Categories Atmospheric State, Radiometric Originating Instrument G-band (183 GHz) Vapor Radiometer (GVR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time 183.3 +/- 1 GHz hot load signal count hot1 ( time ) 183.3 +/- 3 GHz hot load signal count hot3 ( time )

35

ARM - Datastreams - 1sprprad  

NLE Websites -- All DOE Office Websites (Extended Search)

sprprad sprprad Documentation Data Quality Plots Citation DOI: 10.5439/1095574 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1SPRPRAD Portable Radiation Package: Broadband Radiometers, 1 second resolution Active Dates 2012.11.02 - 2013.09.26 Measurement Categories Radiometric Originating Instrument Portable Radiation Package (PRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Battery voltage volt battery_voltage ( time ) Temperature of RAD circuit board degC circuit_board_temperature ( time )

36

ARM - Datastreams - amc  

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Datastreamsamc Datastreamsamc Documentation Data Quality Plots Citation DOI: 10.5439/1095578 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AMC Ameriflux Measurement Component Active Dates 2012.08.08 - 2014.01.08 Measurement Categories Radiometric, Surface Properties Originating Instrument Ameriflux Measurement Component (AMC) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Logger relative humidity % enclosure_rh ( time ) North latitude degree_N lat Logger enclusure relative humidity % logger_enclosure_rh ( time )

37

ARM - Datastreams - prprad  

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Datastreamsprprad Datastreamsprprad Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : PRPRAD Portable Radiation Package: Broadband Radiometers Active Dates 2012.11.02 - 2013.09.26 Measurement Categories Radiometric Originating Instrument Portable Radiation Package (PRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Battery voltage volt battery_voltage ( time ) Temperature of RAD circuit board degC circuit_board_temperature ( time ) Longwave broadband downwelling irradiance

38

ARM - Datastreams - rad  

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Datastreamsrad Datastreamsrad Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : RAD Radiation measurements at AMF/Niamey, Niger/S1 Active Dates 2006.01.13 - 2008.12.13 Measurement Categories Radiometric Originating Instrument Radiation Measurements at AMF (RAD) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Longwave broadband downwelling irradiance Downwelling Longwave Hemispheric Irradiance, Pyrgeometer W/m^2 down_long_hemisp ( time ) Downwelling Pyrgeometer Case Thermistor Resistance Kohms down_long_hemisp_case_resist ( time )

39

ARM - Datastreams - vdis  

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Datastreamsvdis Datastreamsvdis Documentation Data Quality Plots Citation DOI: 10.5439/1025315 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : VDIS Video Disdrometer Drop Size Distribution Active Dates 2011.02.28 - 2013.12.30 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Video Disdrometer (VDIS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Diameter of largest drop observed mm diameter_max ( time ) Diameter of smallest drop observed mm diameter_min ( time )

40

ARM - Datastreams - swacrblrhi  

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Datastreamsswacrblrhi Datastreamsswacrblrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRBLRHI S-WACR Boundary-layer Range-Height Indicator scan Active Dates 2010.04.28 - 2010.05.31 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

ARM - Datastreams - 915rwptempcon  

NLE Websites -- All DOE Office Websites (Extended Search)

rwptempcon rwptempcon Documentation Data Quality Plots Citation DOI: 10.5439/1025131 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 915rwptempcon Archive Data Plot Example 915rwptempcon Archive Data Plot Datastream : 915RWPTEMPCON 915-MHz Radar Wind Profiler/RASS (RWP915): temperature consensus data Active Dates 1997.04.01 - 2011.06.13 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Averaging interval min avgint ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

42

ARM - Datastreams - aeriengineer  

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Datastreamsaeriengineer Datastreamsaeriengineer Documentation Data Quality Plots Citation DOI: 10.5439/1025145 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AERIENGINEER Atmospheric Emitted Radiance Interferometer (AERI): engineering data Active Dates 1997.10.21 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Ambient blackbody temperature - apex K ABBapexTemp ( time ) Ambient Blackbody apex temperature weight /1 ABBapexTempWeight ( time ) Ambient blackbody temperature K ABBbottomTemp ( time )

43

ARM - Datastreams - swacrcal  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsswacrcal Datastreamsswacrcal Documentation Data Quality Plots Citation DOI: 10.5439/1025288 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRCAL S-WACR calibration information Active Dates 2010.03.15 - 2010.04.23 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

44

ARM - Datastreams - aerich2  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaerich2 Datastreamsaerich2 Documentation Data Quality Plots Citation DOI: 10.5439/1025144 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AERICH2 Atmospheric Emitted Radiance Interferometer (AERI): channel 2 data Active Dates 1994.01.10 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable AERI instrument unit serial number unitless AERIunitNumber ( time ) Observation Altitude m Altitude ( time ) Temperature of the AERI blackbody support structure K BBsupportStructureTemp ( time )

45

ARM - Datastreams - aosccn  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaosccn Datastreamsaosccn Documentation Data Quality Plots Citation DOI: 10.5439/1025149 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSCCN Aerosol Observing System (AOS): cloud condensation nuclei data Active Dates 2005.03.04 - 2011.08.30 Measurement Categories Aerosols, Cloud Properties Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable First stage monitor voltage V (DC) CCN_FirstStageMonitorVoltage ( time ) AOS CCN sample pressure hPa CCN_P_sample ( time ) CCN Proportional valve voltage V CCN_ProportionalValveVoltage ( time )

46

ARM - Datastreams - ceilpblht  

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Datastreamsceilpblht Datastreamsceilpblht Documentation Data Quality Plots Citation DOI: 10.5439/1095593 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : CEILPBLHT Boundary-layer height data with VCEIL Active Dates 2011.06.09 - 2014.01.09 Measurement Categories Atmospheric State Originating Instrument Vaisala Ceilometer (VCEIL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Planetary boundary layer height First boundary layer height candidate meters bl_height_1 ( time )

47

ARM - Datastreams - swacrppi  

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Datastreamsswacrppi Datastreamsswacrppi Documentation Data Quality Plots Citation DOI: 10.5439/1025292 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRPPI S-WACR Plan Position Indicator scan Active Dates 2009.10.05 - 2011.04.25 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

48

ARM - Datastreams - aosaeth  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaosaeth Datastreamsaosaeth Documentation Data Quality Plots Citation DOI: 10.5439/1095580 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSAETH AOS: Aethalometer, measures Black Carbon Active Dates 2012.06.29 - 2013.04.02 Measurement Categories Aerosols, Atmospheric Carbon Originating Instrument Aethalometer (AETH) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Black carbon concentration Black carbon mass load at 470 nm, 1 um size cut ng/m^3 bcm_blue_1um ( time )

49

ARM - Datastreams - surthref  

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Datastreamssurthref Datastreamssurthref Documentation Data Quality Plots Citation DOI: 10.5439/1025285 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SURTHREF Surface Temperature and Humidity Reference system for sondes Active Dates 2005.07.28 - 2014.01.02 Measurement Categories Atmospheric State Originating Instrument Surface Temperature and Humidity Reference System for Sondes (SURTHREF) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Sonde present bit flag unitless count ( time )

50

ARM - Datastreams - noaaaosccn100  

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Datastreamsnoaaaosccn100 Datastreamsnoaaaosccn100 Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NOAAAOSCCN100 Aerosol Observing System (AOS): cloud condensation nuclei data Active Dates 2009.04.16 - 2013.05.04 Measurement Categories Aerosols, Cloud Properties Originating Instrument Cloud Condensation Nuclei Particle Counter (CCN) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable AOS CCN sample pressure hPa CCN_P_sample ( time ) AOS CCN volumetric flowrate of sample air cm^3/minute CCN_Q_sample ( time ) AOS CCN volumetric flowrate of sheath air cm^3/minute CCN_Q_sheath ( time )

51

ARM - Datastreams - swacrvpt  

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Datastreamsswacrvpt Datastreamsswacrvpt Documentation Data Quality Plots Citation DOI: 10.5439/1025297 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRVPT S-WACR Vertical PoinTing scan Active Dates 2009.10.05 - 2011.04.25 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

52

ARM - Datastreams - kazrmd  

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Datastreamskazrmd Datastreamskazrmd Documentation Data Quality Plots Citation DOI: 10.5439/1095601 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KAZRMD Ka ARM Zenith Radar (KAZR): moderate sensitivity mode Active Dates 2011.05.03 - 2014.01.09 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Ka ARM Zenith Radar (KAZR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Radar calibration constant, copolar dB cal_constant_copol ( time )

53

ARM - Datastreams - prpfrsr  

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Datastreamsprpfrsr Datastreamsprpfrsr Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : PRPFRSR Portable Radiation Package: Fast Rotating Shadowband Radiometer Active Dates 2012.11.02 - 2013.09.26 Measurement Categories Radiometric Originating Instrument Portable Radiation Package (PRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Bin numbers for sweep measurements unitless bin ( bin ) Shortwave broadband total downwelling irradiance Shadow record, mean hemispheric irradiance at end of sweep, broadband channel mV end_sweep_hemisp_broadband ( time )

54

ARM - Datastreams - mwrhf  

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Datastreamsmwrhf Datastreamsmwrhf Documentation Data Quality Plots Citation DOI: 10.5439/1025250 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MWRHF Microwave Radiometer: High Frequency (MWRHF) Active Dates 2006.11.03 - 2013.11.26 Measurement Categories Atmospheric State, Radiometric Originating Instrument Microwave Radiometer - High Frequency (MWRHF) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time North latitude degree_N lat East longitude degree_E lon Quality check results on field: Ambient surface pressure unitless qc_surfacePressure ( time )

55

ARM - Datastreams - aosacsm  

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Datastreamsaosacsm Datastreamsaosacsm Documentation Data Quality Plots Citation DOI: 10.5439/1046180 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSACSM AOS: aerosol chemical speciation monitor Active Dates 2010.11.20 - 2014.01.02 Measurement Categories Aerosols Originating Instrument Aerosol Chemical Speciation Monitor (ACSM) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Inorganic chemical composition Mass concentration of ammonium, ambient aerosol in air. ug/m^3 ammonium ( time ) Mass to charge ratios of ion fragments m/z amus ( amus ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

56

ARM - Datastreams - irt  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsirt Datastreamsirt Documentation Data Quality Plots Citation DOI: 10.5439/1025202 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example irt Archive Data Plot Example irt Archive Data Plot Datastream : IRT Infrared Thermometer: Sky brightness temperature Active Dates 2001.02.22 - 2014.01.09 Measurement Categories Radiometric Originating Instrument Infrared Thermometer (IRT) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Battery voltage V internal_voltage ( time )

57

ARM - Datastreams - 5ebbr  

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ebbr ebbr Documentation Data Quality Plots Citation DOI: 10.5439/1025346 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 5ebbr Archive Data Plot Example 5ebbr Archive Data Plot Datastream : 5EBBR Energy Balance Bowen Ratio(EBBR) station: surf. Met & soil data for heat flux, 5-min Active Dates 1993.07.04 - 2014.01.09 Measurement Categories Radiometric Originating Instrument Energy Balance Bowen Ratio Station (EBBR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Atmospheric pressure kPa atmos_pressure ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

58

ARM - Datastreams - vdisdrops  

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Datastreamsvdisdrops Datastreamsvdisdrops Documentation Data Quality Plots Citation DOI: 10.5439/1025316 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : VDISDROPS Video Disdrometer Individual Drop Data Active Dates 2011.02.28 - 2014.01.08 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Video Disdrometer (VDIS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Instrument effective measurement area mm^2 area ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Hydrometeor Geometry

59

ARM - Datastreams - twr  

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Datastreamstwr Datastreamstwr Documentation Data Quality Plots Citation DOI: 10.5439/1025310 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : TWR Facility-specific multi-level Meteorological Instrumentation, e.g. Tower Temperature and Humidity Active Dates 2003.10.31 - 2014.01.09 Measurement Categories Atmospheric State Originating Instrument Facility-specific multi-level Meteorological Instrumentation (TWR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Dew point mean, calculated C dew_point_mean ( time, height )

60

ARM - Datastreams - xsacrvpt  

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Datastreamsxsacrvpt Datastreamsxsacrvpt Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRVPT X-Band Scanning ARM Cloud Radar (XSACR) Vertically Pointing Scan Active Dates 2011.09.14 - 2013.07.29 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

ARM - Datastreams - noaaaosavg  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsnoaaaosavg Datastreamsnoaaaosavg Documentation Data Quality Plots Citation DOI: 10.5439/1025260 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NOAAAOSAVG Aerosol Observing System (AOS): aerosol data, 60-min avg, mentor-QC applied Active Dates 1996.07.02 - 2013.09.30 Measurement Categories Aerosols, Cloud Properties Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Aerosol absorption Aerosol light absorption coefficient, green channel, 1 um 1/Mm Ba_G_Dry_1um_PSAP1W_1 ( time ) Number of data points used in Ba_G_Dry_1um_PSAP1W_1 computation count Ba_G_Dry_1um_PSAP1W_1_N ( time )

62

ARM - Datastreams - 6sprpfrsr  

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sprpfrsr sprpfrsr Documentation Data Quality Plots Citation DOI: 10.5439/1095577 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 6SPRPFRSR Portable Radiation Package: Fast Rotating Shadowband Radiometer full resolution 6-s sampling Active Dates 2012.11.02 - 2013.09.26 Measurement Categories Radiometric Originating Instrument Portable Radiation Package (PRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Bin numbers for sweep measurements unitless bin ( bin )

63

ARM - Datastreams - mfrsr  

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Datastreamsmfrsr Datastreamsmfrsr Documentation Data Quality Plots Citation DOI: 10.5439/1023898 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mfrsr Archive Data Plot Example mfrsr Archive Data Plot Datastream : MFRSR Multi-Filter Rotating Shadowband Radiometer (MFRSR): irradiances Active Dates 1996.10.21 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Multifilter Rotating Shadowband Radiometer (MFRSR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Airmass unitless airmass ( time ) Alltime Hemispheric Broadband Irradiance counts alltime_hemisp_broadband ( time )

64

ARM - Datastreams - wsacrppi  

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Datastreamswsacrppi Datastreamswsacrppi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRPPI W-Band Scanning ARM Cloud Radar (W-SACR) PPI Scan Active Dates 2011.05.24 - 2013.12.10 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

65

ARM - Datastreams - kazrspeccmaskhicopol  

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Datastreamskazrspeccmaskhicopol Datastreamskazrspeccmaskhicopol Documentation Data Quality Plots Citation DOI: 10.5439/1095602 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KAZRSPECCMASKHICOPOL Ka ARM Zenith Radar (KAZR): filtered spectral data, high sensitivity mode, co-polarized mode Active Dates 2013.04.26 - 2013.11.21 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Ka ARM Zenith Radar (KAZR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

66

ARM - Datastreams - sashevishisun  

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Datastreamssashevishisun Datastreamssashevishisun Documentation Data Quality Plots Citation DOI: 10.5439/1025270 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SASHEVISHISUN Shortwave Array Spectroradiometer-Hemispheric, VISible channel, high-sun angles [a0 data is uncalibrated] Active Dates 2011.03.22 - 2014.01.09 Measurement Categories Radiometric Originating Instrument Shortwave Array Spectroradiometer-Hemispheric (SASHE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Airmass unitless airmass ( time ) Altitude above mean sea level m alt Atmospheric pressure kPa atmos_pressure ( time )

67

ARM - Datastreams - csphotaot  

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Datastreamscsphotaot Datastreamscsphotaot Documentation Data Quality Plots Citation DOI: 10.5439/1025174 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : CSPHOTAOT Cimel Sunphotometer (CSPHOT): aerosol optical thickness data Active Dates 1994.04.06 - 2013.12.31 Measurement Categories Aerosols, Atmospheric State Originating Instrument Cimel Sunphotometer (CSPHOT) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Particle size distribution Angstrom Coefficient 340-440 unitless Angstrom340_440 ( time ) Particle size distribution Angstrom Coefficient 380-500 unitless Angstrom380_500 ( time )

68

ARM - Datastreams - sashenirhisun  

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Datastreamssashenirhisun Datastreamssashenirhisun Documentation Data Quality Plots Citation DOI: 10.5439/1025268 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SASHENIRHISUN Shortwave Array Spectroradiometer-Hemispheric, Near-InfraRed channel, high-sun angles [a0 data is uncalibrated] Active Dates 2011.03.22 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Shortwave Array Spectroradiometer-Hemispheric (SASHE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Airmass unitless airmass ( time ) Altitude above mean sea level m alt Atmospheric pressure kPa atmos_pressure ( time )

69

ARM - Datastreams - aerich1  

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Datastreamsaerich1 Datastreamsaerich1 Documentation Data Quality Plots Citation DOI: 10.5439/1025143 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AERICH1 Atmospheric Emitted Radiance Interferometer (AERI): channel 1 data Active Dates 1994.01.10 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable AERI instrument unit serial number unitless AERI_unit_number AERI instrument unit serial number unitless AERIunitNumber ( time ) Observation Altitude m Altitude ( time )

70

ARM - Datastreams - aosmet  

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Datastreamsaosmet Datastreamsaosmet Documentation Data Quality Plots Citation DOI: 10.5439/1025153 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSMET AOS: aerosol-based meteorology data Active Dates 2010.10.03 - 2013.10.02 Measurement Categories Atmospheric State Originating Instrument Meteorological Measurements associated with the Aerosol Observing System (AOSMET) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Atmospheric pressure Ambient pressure hPa P_Ambient ( time ) Atmospheric moisture Ambient air relative humidity % RH_Ambient ( time ) Atmospheric temperature

71

ARM - Datastreams - xsacrblrhi  

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Datastreamsxsacrblrhi Datastreamsxsacrblrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRBLRHI X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI Scan Active Dates 2011.09.14 - 2011.10.20 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

72

ARM - Datastreams - swacrcwrhi  

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Datastreamsswacrcwrhi Datastreamsswacrcwrhi Documentation Data Quality Plots Citation DOI: 10.5439/1025289 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRCWRHI S-WACR Cross-Wind Range-Height Indicator scan Active Dates 2009.10.26 - 2010.05.31 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time )

73

ARM - Datastreams - saszenir  

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Datastreamssaszenir Datastreamssaszenir Documentation Data Quality Plots Citation DOI: 10.5439/1025272 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SASZENIR Shortwave Array Spectroradiometer-Zenith, Near-InfraRed channel [a0 data is uncalibrated] Active Dates 2011.03.22 - 2013.09.26 Measurement Categories Radiometric Originating Instrument Shortwave Array Spectroradiometer-Zenith (SASZE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Temperature of avantes AD board for InGaAs NIR spectrometer degC ad_temperature ( time ) Airmass unitless airmass ( time ) Altitude above mean sea level m alt

74

ARM - Datastreams - mwrlos  

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Datastreamsmwrlos Datastreamsmwrlos Documentation Data Quality Plots Citation DOI: 10.5439/1046211 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mwrlos Archive Data Plot Example mwrlos Archive Data Plot Datastream : MWRLOS Microwave Water Radiometer (MWR): water liq. & vapor along line of sight (LOS) path Active Dates 1993.07.21 - 2014.01.09 Measurement Categories Atmospheric State, Cloud Properties, Radiometric Originating Instrument Microwave Radiometer (MWR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable altitude m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

75

ARM - Datastreams - xsacrawrhi  

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Datastreamsxsacrawrhi Datastreamsxsacrawrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRAWRHI X-Band Scanning ARM Cloud Radar (XSACR) Along-Wind RHI Scan Active Dates 2011.09.14 - 2012.10.21 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

76

ARM - Datastreams - nimfr  

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Datastreamsnimfr Datastreamsnimfr Documentation Data Quality Plots Citation DOI: 10.5439/1025258 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example nimfr Archive Data Plot Example nimfr Archive Data Plot Datastream : NIMFR Normal Incidence Multi-Filter Radiometer (NIMFR): direct normal irradiances Active Dates 1997.10.16 - 2014.01.09 Measurement Categories Radiometric Originating Instrument Normal Incidence Multifilter Radiometer (NIMFR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Airmass unitless airmass ( time ) Altitude above mean sea level m alt Azimuth angle degrees azimuth_angle ( time )

77

ARM - Datastreams - mwrp  

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Datastreamsmwrp Datastreamsmwrp Documentation Data Quality Plots Citation DOI: 10.5439/1025254 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MWRP Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals Active Dates 2004.02.19 - 2014.01.01 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Microwave Radiometer Profiler (MWRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Azimuth angle degrees azimuth Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

78

ARM - Datastreams - csphotaotfilt  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamscsphotaotfilt Datastreamscsphotaotfilt Documentation Data Quality Plots Citation DOI: 10.5439/1025175 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : CSPHOTAOTFILT Cimel Sunphotometer (CSPHOT): aerosol optical thickness, filtered data Active Dates 1994.04.08 - 2013.12.31 Measurement Categories Aerosols, Atmospheric State Originating Instrument Cimel Sunphotometer (CSPHOT) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Particle size distribution Angstrom Coefficient 340-440 unitless Angstrom340_440 ( time ) Particle size distribution Angstrom Coefficient 380-500 unitless Angstrom380_500 ( time )

79

ARM - Datastreams - disdrometer  

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Datastreamsdisdrometer Datastreamsdisdrometer Documentation Data Quality Plots Citation DOI: 10.5439/1025181 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DISDROMETER Disdrometer: measures rain drop size distribution Active Dates 2006.01.11 - 2014.01.09 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Impact Disdrometer (DISDROMETER) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Diameter interval between drop size classes mm delta_diam ( drop_class )

80

ARM - Datastreams - aosccn200  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaosccn200 Datastreamsaosccn200 Documentation Data Quality Plots Citation DOI: 10.5439/1046182 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSCCN200 AOS: Dual Column Cloud Condensation Nuclei Counter Active Dates 2012.06.24 - 2013.03.10 Measurement Categories Aerosols, Cloud Properties Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable AOS CCN set point temperature for the optical partical counter (OPC), first CCN degrees C CCN_OPC_set_1 ( time ) AOS CCN set point temperature for the optical partical counter (OPC), second CCN degrees C CCN_OPC_set_2 ( time )

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

ARM - Datastreams - 50rwptempspec  

NLE Websites -- All DOE Office Websites (Extended Search)

rwptempspec rwptempspec Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 50RWPTEMPSPEC 50-MHz Radar Wind Profiler/RASS (RWP50): temperature spectra Active Dates 2001.04.01 - 2006.05.04 Measurement Categories Aerosols, Cloud Properties Originating Instrument Radar Wind Profiler (50 MHz) (50RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Spectral bin number unitless bins ( bins ) Array of heights for the range gates km height ( height ) North latitude degree_N lat

82

ARM - Datastreams - wacrspeccmaskcopol  

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Datastreamswacrspeccmaskcopol Datastreamswacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.5439/1025318 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WACRSPECCMASKCOPOL W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode Active Dates 2006.03.24 - 2013.06.14 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar (WACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Locator Mask for Spectra unitless LocatorMask ( time, heights ) Radar Doppler Mean Doppler Velocity m/s MeanDopplerVelocity ( time, heights )

83

ARM - Datastreams - 915rwptempmom  

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rwptempmom rwptempmom Documentation Data Quality Plots Citation DOI: 10.5439/1025132 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 915RWPTEMPMOM 915-MHz Radar Wind Profiler/RASS (RWP915): temperature moments Active Dates 1997.05.01 - 2011.06.13 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Array of heights for the range gates km height ( height )

84

ARM - Datastreams - marinemet  

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Datastreamsmarinemet Datastreamsmarinemet Documentation Data Quality Plots Citation DOI: 10.5439/1095605 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MARINEMET ARM-standard Meteorological Instrumentation, Marine Active Dates 2012.10.05 - 2013.10.09 Measurement Categories Atmospheric State Originating Instrument Surface Meteorological Instrumentation (MET) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Accumulated rain since 00 hour mm accumulated_rain_org ( time ) Air temperature mean, from the T/RH sensor in a forced ventilator (Young 43502) mounted on the met boom degC air_temp_mean_adc ( time )

85

ARM - Datastreams - xsacrcwrhi  

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Datastreamsxsacrcwrhi Datastreamsxsacrcwrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRCWRHI X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan Active Dates 2011.09.14 - 2012.10.21 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degree azimuth ( time )

86

ARM - Datastreams - swats  

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Datastreamsswats Datastreamsswats Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example swats Archive Data Plot Example swats Archive Data Plot Datastream : SWATS Soil Water and Temperature Profiling System (SWATS): soil temp & water profiles Active Dates 1996.02.05 - 2014.01.09 Measurement Categories Surface Properties Originating Instrument Soil Water and Temperature System (SWATS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Sensor depth below surface cm depth ( depth )

87

ARM - Datastreams - hsrl  

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Datastreamshsrl Datastreamshsrl Documentation Data Quality Plots Citation DOI: 10.5439/1025200 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : HSRL High Spectral Resolution Lidar Active Dates 2011.01.21 - 2014.01.08 Measurement Categories Aerosols, Cloud Properties Originating Instrument High Spectral Resolution Lidar (HSRL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Attenuated molecular return 1/(m sr) atten_beta_r_backscat ( time, range ) Attenuated molecular return 1/(m sr) atten_beta_r_backscatter ( time, range )

88

ARM XDC Datastreams  

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StreamsSuomiNet Global Positioning StreamsSuomiNet Global Positioning System Documentation SUOMIGPS Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send SuomiNet Global Positioning System (SUOMIGPS) Information updated on January 23, 2013, 10:57 pm GMT General Data Description SuomiNet (named to honor meteorological satellite pioneer Verner Suomi) is a network of GPS receivers to provide real-time atmospheric precipitable water vapor measurements and other geodetic and meteorological information. ARM has built geodetic monuments for Suominet GPS receivers across the SGP CART domain. Expand All Collapse All Data Stream Names 30suomigps : SuomiNet GPS: 30-min averages Measurement Description

89

ARM - Datastreams - wsacrvpt  

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Datastreamswsacrvpt Datastreamswsacrvpt Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRVPT W-Band Scanning ARM Cloud Radar (W-SACR) Vertically Pointing Scan Active Dates 2011.04.20 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

90

ARM - Datastreams - xsacrrhi  

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Datastreamsxsacrrhi Datastreamsxsacrrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRRHI X-Band Scanning ARM Cloud Radar (XSACR) RHI Scans, which can vary in elevation range and azimuth Active Dates 2011.10.15 - 2011.10.20 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

91

ARM XDC Datastreams  

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StreamsOklahoma Mesonet StreamsOklahoma Mesonet Documentation OKM Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Oklahoma Mesonet (OKM) Information updated on June 17, 2013, 5:35 pm GMT General Data Description The Oklahoma Mesonet (sponsored by University of Oklahoma and Oklahoma State) provide 05, and 15 minute averaged surface meteorological data daily in near real-time and quality assured data files with about a monthly delay. In addition, soil moisture sensor information is available in 30 minute averaged quality assured files. The Oklahoma Mesonet network consists of over 100 automated observing stations located throughout the state. Station names, latitudes and

92

ARM - Datastreams - aosnephwet  

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Datastreamsaosnephwet Datastreamsaosnephwet Documentation Data Quality Plots Citation DOI: 10.5439/1025155 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSNEPHWET AOS: humidified nephelometer measurements Active Dates 2010.10.04 - 2014.01.09 Measurement Categories Aerosols, Cloud Properties Originating Instrument Nephelometer (NEPHELOMETER) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Backscattered radiation Aerosol backwards-hemispheric light scattering coefficient, Humidograph nephelometer blue channel, 1 um particle diameter 1/Mm Bbs_B_Wet_1um_Neph3W_2 ( time ) Backscattered radiation

93

ARM - Datastreams - 1440smos  

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smos smos Documentation Data Quality Plots Citation DOI: 10.5439/1024909 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1440SMOS Surface Met Observation Station (SMOS): daily minimum/maximum data, with times Active Dates 1994.03.08 - 2009.09.30 Measurement Categories Atmospheric State Originating Instrument Surface Meteorological Observation System Instruments for SGP (SMOS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric pressure max_bar_pres Atmospheric moisture max_rh Precipitation max_snow Atmospheric temperature max_temp Atmospheric moisture max_vap_pres Horizontal wind

94

ARM - Datastreams - kasacrawrhi  

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Datastreamskasacrawrhi Datastreamskasacrawrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046193 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRAWRHI Ka-Band Scanning ARM Cloud Radar (KASACR) Along-Wind RHI Scan Active Dates 2011.05.26 - 2013.12.09 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

95

ARM - Datastreams - kasacrslr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamskasacrslr Datastreamskasacrslr Documentation Data Quality Plots Citation DOI: 10.5439/1046200 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRSLR Ka-Band Scanning ARM Cloud Radar (KASACR) Side-Looking Radar Active Dates 2011.12.09 - 2013.05.21 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

96

ARM - Datastreams - 915rwpwindcon  

NLE Websites -- All DOE Office Websites (Extended Search)

rwpwindcon rwpwindcon Documentation Data Quality Plots Citation DOI: 10.5439/1025135 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 915rwpwindcon Archive Data Plot Example 915rwpwindcon Archive Data Plot Datastream : 915RWPWINDCON 915-MHz Radar Wind Profiler/RASS (RWP915): wind consensus data Active Dates 2001.03.27 - 2014.01.02 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Averaging interval min avgint ( time, power ) Azimuth of beam 0 deg azimuth0 ( power )

97

ARM - Datastreams - kasacrblrhi  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamskasacrblrhi Datastreamskasacrblrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046194 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRBLRHI Ka-Band Scanning ARM Cloud Radar (KASACR) Boundary Layer RHI Scan Active Dates 2011.05.24 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

98

ARM - Datastreams - xsacrhsrhi  

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Datastreamsxsacrhsrhi Datastreamsxsacrhsrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRHSRHI X-Band Scanning ARM Cloud Radar (XSACR) Hemispherical Sky RHI Scans (6 horizon-to-horizon scans at 30-degree azimuth intervals) Active Dates 2011.09.14 - 2013.05.31 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

99

ARM - Datastreams - wsacrcrrhi  

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Datastreamswsacrcrrhi Datastreamswsacrcrrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRCRRHI W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector RHI scan Active Dates 2011.12.15 - 2011.12.15 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

100

ARM - Datastreams - kasacrcrraster  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamskasacrcrraster Datastreamskasacrcrraster Documentation Data Quality Plots Citation DOI: 10.5439/1095596 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRCRRASTER Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Raster Scan Active Dates 2013.02.01 - 2013.11.27 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

ARM - Datastreams - kasacrvpt  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamskasacrvpt Datastreamskasacrvpt Documentation Data Quality Plots Citation DOI: 10.5439/1046201 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRVPT Ka-Band Scanning ARM Cloud Radar (KASACR) Vertically Pointing Scan Active Dates 2011.04.29 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

102

ARM - Datastreams - sondewnpn  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamssondewnpn Datastreamssondewnpn Documentation XDC documentation Data Quality Plots Citation DOI: 10.5439/1021460 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example sondewnpn Archive Data Plot Example sondewnpn Archive Data Plot Datastream : SONDEWNPN Balloon-borne sounding system (BBSS): Vaisala-processed winds, press., temp, &RH Active Dates 1994.04.12 - 2014.01.10 Measurement Categories Atmospheric State Originating Instrument Balloon-Borne Sounding System (SONDE) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable altitude meters above Mean Sea Level alt ( time )

103

ARM - Datastreams - kasacrcwrhi  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamskasacrcwrhi Datastreamskasacrcwrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046196 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRCWRHI Ka-Band Scanning ARM Cloud Radar (KASACR) Cross-Wind RHI Scan Active Dates 2011.05.05 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

104

ARM - Datastreams - 30ecor  

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ecor ecor Documentation Data Quality Plots Citation DOI: 10.5439/1025039 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 30ecor Archive Data Plot Example 30ecor Archive Data Plot Datastream : 30ECOR ECOR: surface vertical fluxes of momentum, sensible heat, and latent heat, 30-min avg Active Dates 1997.04.25 - 2014.01.02 Measurement Categories Atmospheric Carbon, Atmospheric State, Surface Properties Originating Instrument Eddy Correlation Flux Measurement System (ECOR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Average atmospheric pressure (IGRA internal sensor) kPa atm_pres ( time )

105

ARM - Datastreams - noaaaos  

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Datastreamsnoaaaos Datastreamsnoaaaos Documentation Data Quality Plots Citation DOI: 10.5439/1025259 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NOAAAOS Aerosol Observing System (AOS): aerosol data, 1-min, mentor-QC applied Active Dates 1996.07.02 - 2013.09.30 Measurement Categories Aerosols, Cloud Properties Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Aerosol absorption Absorption coefficient blue, corrected for flow and sample area, 3 wavelength PSAP, 1 um size cut 1/m Ba_B_Dry_1um_PSAP3W_1 ( time )

106

ARM - Datastreams - wsacrcrraster  

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Datastreamswsacrcrraster Datastreamswsacrcrraster Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRCRRASTER W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Raster Scan Active Dates 2013.02.01 - 2013.11.27 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

107

ARM - Datastreams - kasacrppi  

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Datastreamskasacrppi Datastreamskasacrppi Documentation Data Quality Plots Citation DOI: 10.5439/1046198 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRPPI Ka-Band Scanning ARM Cloud Radar (KASACR) PPI Active Dates 2011.05.24 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

108

ARM - Datastreams - pgs  

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you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : PGS Precision Gas System (CO2): 2, 4, 25, 60 m Active Dates 2001.04.11 - 2014.05.26 Measurement...

109

ARM - Datastreams - sashenir  

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1-888-ARM-DATA. Send Datastream : SASHENIR Shortwave Array Spectroradiometer-Hemispheric, Near-InfraRed channel Active Dates 2012.03.23 - 2015.01.06 Originating Instrument...

110

CHAPTER XV - TIME SERIES  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides an overview of time series. A time series is a set of observations of a variable made at different points of time and arranged in chronological order, each observation representing the value of the variable either at a given moment or during the interval of time between this observation and the preceding one. In general, the observations forming a time-series as made at equidistant intervals of time are considered. The factors affecting time-series may be recurring or nonrecurring, or evolutionary, periodic, or random. The method of moving averages consists in determining the average value for a certain number of terms of a time series and taking this average as the trend normal value for the middle of the period covered in the calculation of the average, that is, the period extent of the moving average.

ISAAC PAENSON

1970-01-01T23:59:59.000Z

111

Time Series Analysis  

Science Journals Connector (OSTI)

Know how to apply simple methods for time series forecasting such as moving averages and the three levels of exponential smoothing.

Marc Goetschalckx

2011-01-01T23:59:59.000Z

112

ARM - Instrument Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

govDataInstrument Datastreams govDataInstrument Datastreams Measurement Categories Select below to highlight datastreams in specified measurement categories. Aerosols The effect of aerosols is measured by instrument systems and lidars that provide data on the size distribution, optical properties, scattering, and extinction of aerosols. Atmospheric Carbon Measurements of atmospheric carbon are obtained from samples collected at the Southern Great Plains site. For more information about these measurements, see the ARM Carbon Project website. Coming soon: Aircraft carbon profile samples Atmospheric State Cloud Properties Active and passive remote sensing instruments are used to measure the macroscopic properties (horizontal and vertical distributions) of clouds, and the microphysical properties (sizes, shapes, and phases [water or ice])

113

ARM - Datastreams - irt10m  

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Archive Data Plot Example irt10m Archive Data Plot Datastream : IRT10M Infrared Thermometer: Ground surface temperature averaged 60-sec at 10-meter height Active Dates...

114

Invariant time-series factorization  

Science Journals Connector (OSTI)

Time-series analysis is an important domain of machine learning and a plethora of methods have been developed for the task. This paper proposes a new representation of time series, which in contrast to existing approaches, decomposes a time-series dataset ... Keywords: Data mining, Time-series classification, Time-series factorization

Josif Grabocka; Lars Schmidt-Thieme

2014-09-01T23:59:59.000Z

115

ARM - Datastreams - mwr3c  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmwr3c Datastreamsmwr3c Documentation Data Quality Plots Citation DOI: 10.5439/1025248 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MWR3C Microwave Radiometer, 3 Channel Active Dates 2011.01.11 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Microwave Radiometer, 3 Channel (MWR3C) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Azimuth deg azimuth ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Elevation deg elevation ( time ) Hail accumulation hit/cm^2 hail_accumulation ( time )

116

ARM - Datastreams - sonicwind2d  

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Datastreamssonicwind2d Datastreamssonicwind2d Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SONICWIND2D Horizontal wind speed and direction from ultrasonic wind sensor (Vaisala WS425), 2m above ground on Barrow MET tower Active Dates 2003.10.31 - 2008.09.16 Measurement Categories Atmospheric State Originating Instrument ultrasonic wind sensor (SONICWIND) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Horizontal wind Wind direction vector mean deg SonicWD_DU_WVT ( time ) Wind direction vector mean standard deviation deg SonicWD_SDU_WVT ( time ) Horizontal wind Wind speed arithmetic mean m/s SonicWS_S_WVT ( time )

117

ARM - Datastreams - aeri01summary  

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summary summary Documentation Data Quality Plots Citation DOI: 10.5439/1025141 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AERI01SUMMARY Atmospheric Emitted Radiance Interferometer (AERI) 01: summary data Active Dates 1995.07.22 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Ambient blackbody temperature - apex K ABBapexTemp ( time ) Ambient blackbody temperature K ABBbottomTemp ( time ) Ambient blackbody temperature - rim top K ABBtopTemp ( time )

118

ARM - Datastreams - aospsap3w  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsaospsap3w Datastreamsaospsap3w Documentation Data Quality Plots Citation DOI: 10.5439/1025157 [ What is this? ] Generate Citation Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AOSPSAP3W AOS: 3 wavelength Particle Soot Absorption Photometer Active Dates 2010.10.11 - 2014.01.09 Measurement Categories Aerosols Originating Instrument Particle Soot Absorption Photometer (PSAP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Aerosol absorption Absorption Coefficient Blue, 3 wavelength PSAP, 1 um size cut 1/Mm Ba_B_Dry_1um_PSAP3W_1 ( time ) Aerosol absorption Absorption Coefficient Blue, 3 wavelength PSAP, 10 um size cut 1/Mm Ba_B_Dry_10um_PSAP3W_1 ( time )

119

ARM - Datastreams - mfr10m  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmfr10m Datastreamsmfr10m Documentation Data Quality Plots Citation DOI: 10.5439/1025224 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mfr10m Archive Data Plot Example mfr10m Archive Data Plot Datastream : MFR10M Multi-Filter Radiometer (MFR): upwelling irradiance at 10-meter height Active Dates 1994.03.26 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Multifilter Radiometer (MFR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Airmass unitless airmass ( time ) Altitude above mean sea level m alt Azimuth angle degrees azimuth_angle ( time )

120

ARM - Datastreams - mfr25m  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmfr25m Datastreamsmfr25m Documentation Data Quality Plots Citation DOI: 10.5439/1025225 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mfr25m Archive Data Plot Example mfr25m Archive Data Plot Datastream : MFR25M Multi-Filter Radiometer (MFR): upwelling irradiance at 25-meter height Active Dates 1994.04.17 - 2014.01.02 Measurement Categories Radiometric Originating Instrument Multifilter Radiometer (MFR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Airmass unitless airmass ( time ) Altitude above mean sea level m alt Azimuth angle degrees azimuth_angle ( time )

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

ARM - Datastreams - gndrad60s  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsgndrad60s Datastreamsgndrad60s Documentation Data Quality Plots Citation DOI: 10.5439/1025192 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example gndrad60s Archive Data Plot Example gndrad60s Archive Data Plot Datastream : GNDRAD60S Ground radiation sensor: 60-second upwelling Active Dates 1996.10.09 - 2014.01.06 Measurement Categories Radiometric, Surface Properties Originating Instrument Ground Radiometers on Stand for Upwelling Radiation (GNDRAD) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

122

ARM - Datastreams - irt25m  

NLE Websites -- All DOE Office Websites (Extended Search)

5m 5m Documentation Data Quality Plots Citation DOI: 10.5439/1025205 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example irt25m Archive Data Plot Example irt25m Archive Data Plot Datastream : IRT25M Infrared Thermometer: Ground surface temperature, averaged 60-second at 25-meter height Active Dates 2001.10.13 - 2014.01.09 Measurement Categories Radiometric, Surface Properties Originating Instrument Infrared Thermometer (IRT) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

123

ARM - Datastreams - usdauvmfrsr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsusdauvmfrsr Datastreamsusdauvmfrsr Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : USDAUVMFRSR UV MFRSR data from USDA Active Dates 1999.02.17 - 2014.01.07 Measurement Categories Radiometric Originating Instrument US Department of Agriculture (USDA) Radiation Monitoring Data (USDARAD) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Shortwave narrowband diffuse downwelling irradiance difhorrad300 Shortwave narrowband diffuse downwelling irradiance difhorrad305 Shortwave narrowband diffuse downwelling irradiance difhorrad311 Shortwave narrowband diffuse downwelling irradiance

124

ARM - Datastreams - acars  

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Datastreamsacars Datastreamsacars Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ACARS ARINC ACARS: wind and temperature data from commercial aircraft (ARINC Communications, Addressing, and Reporting System) Active Dates 1998.09.22 - 2008.05.31 Measurement Categories Atmospheric State, Surface Properties Originating Instrument Aircraft Communications Addressing and Reporting System (ACARS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric moisture correctedWVMR Atmospheric moisture dewpoint Atmospheric moisture downlinkedRH Atmospheric turbulence maxTurbulence

125

ARM - Datastreams - usdarad  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsusdarad Datastreamsusdarad Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : USDARAD Visible MFRSR data from USDA Active Dates 1999.02.17 - 2014.01.07 Measurement Categories Radiometric Originating Instrument US Department of Agriculture (USDA) Radiation Monitoring Data (USDARAD) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Shortwave narrowband diffuse downwelling irradiance difhorizrad415 Shortwave narrowband diffuse downwelling irradiance difhorizrad500 Shortwave narrowband diffuse downwelling irradiance difhorizrad610 Shortwave narrowband diffuse downwelling irradiance

126

ARM - Datastreams - twrcam40m  

NLE Websites -- All DOE Office Websites (Extended Search)

Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : TWRCAM40M Forty Meter Tower: video camera Active Dates 2001.06.20 - 2015.01.27 Measurement Categories...

127

ARM - Datastreams - mfr3m  

NLE Websites -- All DOE Office Websites (Extended Search)

Send Datastream : MFR3M Multi-Filter Radiometer (MFR): upwelling irradiance at 3-meter height Active Dates 2013.09.18 - 2014.11.13 Measurement Categories Radiometric...

128

ARM - Datastreams - irt200ms  

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us a note below or call us at 1-888-ARM-DATA. Send Datastream : IRT200MS Infrared Thermometer: Sky brightness temperature, 5-Hz instantaneous Active Dates 2005.05.26 -...

129

ARM - Datastreams - irt2s  

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Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : IRT2S Infrared Thermometer: Sky brightness temperature, instantaneous 2-second Active Dates 2003.02.19 -...

130

ARM - Datastreams - mettiptwr  

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Datastreamsmettiptwr Datastreamsmettiptwr Documentation Data Quality Plots Citation DOI: 10.5439/1046206 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mettiptwr Archive Data Plot Example mettiptwr Archive Data Plot Datastream : METTIPTWR Ten Meter Tower: meteorological data, 2 & 6 m, 1-min avg Active Dates 2001.04.01 - 2003.10.25 Measurement Categories Atmospheric State Originating Instrument Surface and Tower Meteorological Instrumentation at NSA (METTWR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric pressure atmos_pressure Atmospheric moisture dew_pt_temp_max Atmospheric moisture

131

ARM - Datastreams - ecmwfsupp  

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Datastreamsecmwfsupp Datastreamsecmwfsupp Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFSUPP ECMWF: supplemental data, entire coverage Active Dates 1996.10.01 - 2013.11.30 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Model Data (ECMWF) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered

132

ARM - Datastreams - 915rwpwind  

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rwpwind rwpwind Documentation Data Quality Plots Citation DOI: 10.5439/1025134 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 915RWPWIND 915-MHz Radar Wind Profiler/RASS (RWP915): wind profile data Active Dates 1996.12.30 - 2001.03.31 Measurement Categories Aerosols, Atmospheric State, Cloud Properties Originating Instrument Radar Wind Profiler (RWP) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Horizontal wind dir Backscattered radiation spc_amp Horizontal wind spd Horizontal wind u_wind Horizontal wind v_wind Horizontal wind vel0 Horizontal wind vel1 Horizontal wind vel2 Horizontal wind

133

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsAerosol Properties derived StreamsAerosol Properties derived from TDMA Measurements Documentation TDMADAP Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Aerosol Properties derived from TDMA Measurements (TDMADAP) Information updated on April 8, 2010, 9:05 pm GMT General Data Description The Tandem Differential Mobility Analyzer (TDMA) is an instrument to measure dry size distribution and the size resolved hygroscopic growth factors. In its standard operating mode, the dry aerosols are separated into size bins by the first DMA, then exposed to 85% relative humidity and the resulting hygroscopic growth factor distributions for each dry size bin scanned by the second DMA. The aerosol properties described here are

134

ARM - Datastreams - ncepgfsnauflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsnauflx Datastreamsncepgfsnauflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSNAUFLX NCEP GFS: surface variables at Nauru Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat

135

ARM - Datastreams - ncepgfsdarflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsdarflx Datastreamsncepgfsdarflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSDARFLX NCEP GFS: flux variables at Darwin Active Dates 2002.09.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction

136

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

govExternal Data CenterExternal Data Streams915RWP Derived Data with govExternal Data CenterExternal Data Streams915RWP Derived Data with Sonde at Altitude Documentation ISSRWP Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send 915RWP Derived Data with Sonde at Altitude (ISSRWP) Information updated on February 23, 2009, 6:09 pm GMT General Data Description The 915 MHz wind profiler component of the Integrated Sounding System (ISS) is a three-beam Doppler beam swinging system. Expand All Collapse All Data Stream Names 915issrwptempcon : Derived: temperature data from the 915RWP (consensus) and sonde, at altitude 915issrwpwindcon : Derived: wind data from the 915RWP (consensus) and sonde, at altitude Measurement Description

137

ARM - Datastreams - avhrr12  

NLE Websites -- All DOE Office Websites (Extended Search)

2 2 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AVHRR12 AVHRR: albedo and brightness temp., NOAA-12 Satellite Active Dates 1994.07.22 - 2007.08.09 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Shortwave narrowband radiance avhrr_ch1 Shortwave narrowband radiance avhrr_ch2 Longwave narrowband radiance avhrr_ch3 Longwave narrowband radiance avhrr_ch4 Longwave narrowband radiance avhrr_ch5 Locations North Slope Alaska NSA X1 Browse Data External Data (satellites and others)

138

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsBalloon-Borne Sounding StreamsBalloon-Borne Sounding System Documentation SONDE Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Balloon-Borne Sounding System (SONDE) Information updated on August 14, 2013, 8:09 pm GMT General Data Description The Integrated Sounding System, developed by NCAR and NOAA, consisted of a transportable container with a RWP, RASS, and a navigation aid balloon-borne sounding system (BBSS). Several units were deployed in the TWP region and at Barrow Alaska. Please refer to the ISSSONDE documentation. At Darwin, the Australian Bureau of Meteorology launches sondes whose data are delivered to ARM and processed like ARM data, see SONDE. Expand All Collapse All

139

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsSpecial Sensor StreamsSpecial Sensor Microwave/Imager Documentation SSMI Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Special Sensor Microwave/Imager (SSMI) Information updated on March 2, 2010, 8:27 pm GMT General Data Description The Special Sensor Microwave Imager (SSM/I) is a seven-channel, four-frequency, orthogonally polarized, passive microwave radiometric system that measures atmospheric, ocean, and terrain microwave brightness temperatures at 19.35, 22.2, 37.0, and 85.5 GHz, with a spatial resolution of 25 km for the first three channels and 12.5 km for the 85 GHz channel. The SSM/I is carried on Defense Meteorological Satellite Program (DMSP)

140

ARM - Datastreams - xsaprvad  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsxsaprvad Datastreamsxsaprvad Documentation Data Quality Plots Citation DOI: 10.5439/1025328 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSAPRVAD X-SAPR Velocity-Azimuth Display scan Active Dates 2010.12.14 - 2010.12.14 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Precipitation Radar (XSAPR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Radar polarization copol_coeff Radar polarization diff_phase Radar polarization diff_reflectivity Radar polarization diff_reflectivity_corr Radar Doppler doppler_spectral_width Radar polarization dp_phase_shift

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

ARM - Datastreams - ncepgfsatkflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsatkflx Datastreamsncepgfsatkflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSATKFLX NCEP GFS: flux variables at Atqasuk Active Dates 2004.12.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat

142

ARM - Datastreams - avhrr10  

NLE Websites -- All DOE Office Websites (Extended Search)

Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : AVHRR10 AVHRR: albedo and brightness temp., NOAA-10 Satellite Active Dates 1994.09.15 - 1999.10.09 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Shortwave narrowband radiance avhrr_ch1 Shortwave narrowband radiance avhrr_ch2 Longwave narrowband radiance avhrr_ch3 Longwave narrowband radiance avhrr_ch4 Longwave narrowband radiance avhrr_ch5 Locations North Slope Alaska NSA X1 Browse Data External Data (satellites and others)

143

ARM - Datastreams - ncepgfsbrwsfc  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsbrwsfc Datastreamsncepgfsbrwsfc Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSBRWSFC NCEP GFS: surface variables at Barrow Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo1 Surface albedo albedo2 Surface albedo albedo3 Surface albedo albedo4 Precipitation canopy_water Cloud fraction conv_a Cloud base height conv_bpres Cloud top height

144

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsRapid Update Cycle Model StreamsRapid Update Cycle Model Data Documentation RUC Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Rapid Update Cycle Model Data (RUC) Information updated on March 21, 2013, 6:17 pm GMT General Data Description The Rapid Update Cycle (RUC) is an operational atmospheric prediction system comprised primarily of a numerical forecast model and an analysis system to initialize that model. Mesoscale Analysis and Prediction System (MAPS) is the research counterpart to the RUC. The RUC has been developed to serve users needing short-range weather forecasts. RUC runs operationally at the National Centers for Environmental Prediction (NCEP). The key features of RUC/MAPS include:

145

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

CenterExternal Data Streams CenterExternal Data Streams External Data Center Order Data Description of External Data Streams Data Viewers and Plots (selected data sets) XDC Documentation ARM External Datastream Descriptions List by Instrument Category Aerosols TDMADAP: Aerosol Properties derived from TDMA Measurements Atmospheric Carbon FLUXNET: FluxNet: Network of Regional CO2 and Energy Flux Tower Networks Atmospheric Profiling ACARS: Aircraft Communications Addressing and Reporting System GOESWATER: Water Profiles from GOES Satellite Data NWSUPA: National Weather Service Upper Air Measurements SONDE: Balloon-Borne Sounding System SUOMIGPS: SuomiNet Global Positioning System WPDN: Wind Profiler Demo Network WPDNGPS: Wind Profiler Demonstration Network GPS Cloud Properties CPOL: C-Band Polarimetric Radar

146

ARM - Datastreams - ncepgfsmanflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsmanflx Datastreamsncepgfsmanflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSMANFLX NCEP GFS: flux variables at Manus Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction

147

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsNOAA Climate Reference StreamsNOAA Climate Reference Network Documentation NOAACRN Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send NOAA Climate Reference Network (NOAACRN) Information updated on January 28, 2010, 7:51 pm GMT General Data Description The U.S. Climate Reference Network (USCRN) is a network of climate stations that is being developed as part of a National Oceanic and Atmospheric Administration (NOAA) initiative. The first station was installed in Nov 2000 and as of the end of October 2008, 114 stations have been installed (113 in the United States and 1 in Canada. For future station information, see CRN's latest newsletter). Its primary goal is to provide future

148

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsTotal Ozone Mapping StreamsTotal Ozone Mapping Spectrometer Documentation TOMS Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Total Ozone Mapping Spectrometer (TOMS) Information updated on March 16, 2006, 3:32 pm GMT General Data Description Global data derived from the Total Ozone Mapping Spectrometer (TOMS) instrument on the Earth Probe satellite, consisting of daily values of aerosol index, ozone and reflectivity remapped into a regular 1x1.25 deg grid. Users of these data should acknowledge the support of the NASA Goddard Ozone Processing Team. Expand All Collapse All Data Stream Names toms : Total Ozone Mapping Experiment Spectrometer Measurement Description

149

ARM - Datastreams - ncepgfsbrwflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsbrwflx Datastreamsncepgfsbrwflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSBRWFLX NCEP GFS: flux variables at Barrow Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction

150

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsArkansas-Red Basin River StreamsArkansas-Red Basin River Forecast Center Documentation ABRFC Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Arkansas-Red Basin River Forecast Center (ABRFC) Information updated on November 5, 2008, 8:19 pm GMT General Data Description The ABRFC area of responsibility includes the drainage area of the Arkansas River above Pine Bluff Arkansas and the drainage area of the Red River above Fulton Arkansas. This comprises over 208,000 square miles and includes Oklahoma and portions of six neighboring states. Every hour a gridded (4 km x 4 km) precipitation field is created. This field is a combination of both WSR-88D Nexrad radar precipitation estimates and

151

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

Demonstration Demonstration Network GPS Documentation WPDNGPS Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Wind Profiler Demonstration Network GPS (WPDNGPS) Information updated on December 4, 2006, 7:59 pm GMT General Data Description The GPS-Met Observing Systems Branch of NOAA develops and assesses techniques to measure atmospheric water vapor using ground-based Global Positioning System (GPS) receivers. The branch was formed in response to the need for improved moisture observations to support weather forecasting, climate monitoring, and research. The primary goals of the branch are to demonstrate the major aspects of an operational GPS integrated precipitable

152

ARM - Datastreams - ncepgfsflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsflx Datastreamsncepgfsflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSFLX NCEP GFS: flux variables Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction low_a

153

ARM - Datastreams - mettwr  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmettwr Datastreamsmettwr Documentation Data Quality Plots Citation DOI: 10.5439/1046207 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mettwr Archive Data Plot Example mettwr Archive Data Plot Datastream : METTWR Forty Meter Tower: meteorological data, 2, 10, 20, & 40 m, 1-min avg Active Dates 1998.03.20 - 2003.10.22 Measurement Categories Atmospheric State Originating Instrument Surface and Tower Meteorological Instrumentation at NSA (METTWR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric pressure atmos_pressure Atmospheric moisture dew_pt_temp_max Atmospheric moisture

154

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

Diagnostic Analyses Diagnostic Analyses Documentation ECMWFDIAG Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Information updated on July 3, 2013, 6:19 pm GMT General Data Description Diagnostic Analyses data are derived from ECMWF model runs in simulated vertical profiles of diagnostic variables at specific locations or for area averages. The Physical Parametrization Group at ECMWF generates these data as a courtesy to ARM for all the ACRF sites including the changing location of the mobile facility. These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their

155

ARM - Datastreams - ncepgfsmansfc  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsmansfc Datastreamsncepgfsmansfc Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSMANSFC NCEP GFS: surface variables at Manus Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo1 Surface albedo albedo2 Surface albedo albedo3 Surface albedo albedo4 Precipitation canopy_water Cloud fraction conv_a Cloud base height conv_bpres Cloud top height

156

ARM - Datastreams - ecmwfvar  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsecmwfvar Datastreamsecmwfvar Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFVAR ECMWF: model met. and cloud variables at altitude, entire coverage, 1-hr avg Active Dates 1995.04.17 - 2013.12.31 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered

157

ARM - Datastreams - co  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsco Datastreamsco Documentation Data Quality Plots Citation DOI: 10.5439/1025166 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : CO Carbon Monoxide Mixing Ratio System Active Dates 2005.06.01 - 2011.12.31 Measurement Categories Atmospheric Carbon, Atmospheric State Originating Instrument Carbon Monoxide Mixing Ratio System (CO) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Trace gas concentration co Locations Southern Great Plains SGP C1 Browse Data Central Facility, Lamont, OK Contact(s) Sebastien Biraud 510-486-6084 SCBiraud@lbl.gov Marc Fischer associate (510) 486-5539

158

ARM - Datastreams - ecmwfflx  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsecmwfflx Datastreamsecmwfflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFFLX ECMWF: radiative fluxes at altitude, 1-hr avg, entire coverage Active Dates 1995.04.17 - 2013.12.31 Measurement Categories Radiometric Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered

159

ARM - Datastreams - fslruc60  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsfslruc60 Datastreamsfslruc60 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : FSLRUC60 Rapid Update Cycle (RUC) model: FSL output, 60 km resolution Active Dates 1994.10.24 - 1994.11.16 Measurement Categories Atmospheric State, Radiometric, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Precipitation ConvP Latent heat flux LHF Precipitation LgSP Atmospheric pressure MMSP Net broadband total irradiance NR Precipitation PR Precipitation PW Sensible heat flux SHF Soil surface temperature ST Atmospheric pressure

160

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsUS Department of StreamsUS Department of Agriculture (USDA) Radiation Monitoring Data Documentation USDARAD Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send US Department of Agriculture (USDA) Radiation Monitoring Data (USDARAD) Information updated on September 17, 2009, 8:57 pm GMT General Data Description The USDA UV-B Monitoring and Research Program is a program of the US Department of Agriculture's Cooperative State Research, Education and Extension Service (CSREES). The program was initiated in 1992, through a grant to Colorado State University, to provide information on the geographical distribution and temporal trends of UVB (ultraviolet -B) radiation in the United States.

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsIntegrated Sounding System StreamsIntegrated Sounding System Documentation ISSSONDE Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Integrated Sounding System (ISSSONDE) Information updated on September 28, 2006, 6:10 pm GMT General Data Description The ISS balloon borne sounding system is the standard NCAR "GAUS" (GPS Advanced Upper-Air Sounding System) sounding system. Expand All Collapse All Data Stream Names isssonde : Integrated Sounding System (ISS): meteorological data vertical profile isssonde10s : Integrated Sounding System (ISS): meteorological data vertical profile, 10-s resolution Measurement Description See The UCAR Web Page for the ISS Temporal Coverage

162

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsNOAA/ESRL/GMD Radiometers StreamsNOAA/ESRL/GMD Radiometers Documentation NOAARAD Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send NOAA/ESRL/GMD Radiometers (NOAARAD) Information updated on June 26, 2007, 5:34 pm GMT General Data Description NOAA/ESRL GMD (National Oceanic and Atmospheric Administration / Earth System Research Laboratory, Global Monitoring Division) provides surface radiation data from Barrow, AK, part of a long-term surface solar irradiance monitoring network of globally remote sites (G-Rad). Data are available from 1976-02-18 to present. Expand All Collapse All Data Stream Names noaaradbrw : High resolution surface radiation data in netcdf format from Barrow

163

ARM - Datastreams - 915issrwpwindcon  

NLE Websites -- All DOE Office Websites (Extended Search)

issrwpwindcon issrwpwindcon Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 915ISSRWPWINDCON Derived: wind data from the 915RWP (consensus) and sonde, at altitude Active Dates 1997.01.01 - 2001.01.24 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Horizontal wind dir Horizontal wind spd Horizontal wind u_wind Horizontal wind v_wind Horizontal wind vel0 Horizontal wind vel1 Horizontal wind vel2 Horizontal wind vel3 Horizontal wind vel4 Locations Tropical Western Pacific TWP X1 Browse Data External Data (satellites and others)

164

ARM - Datastreams - 30smos  

NLE Websites -- All DOE Office Websites (Extended Search)

smos smos Documentation Data Quality Plots Citation DOI: 10.5439/1025121 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 30smos Archive Data Plot Example 30smos Archive Data Plot Datastream : 30SMOS Surface Meteorological Observation Station (SMOS): 30-min averaged data Active Dates 1993.04.22 - 2009.09.30 Measurement Categories Atmospheric State, Surface Properties Originating Instrument Surface Meteorological Observation System Instruments for SGP (SMOS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric pressure bar_pres Precipitation precip Atmospheric moisture

165

ARM - Datastreams - ecmwften  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsecmwften Datastreamsecmwften Documentation Data Quality Plots Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFTEN ECMWF: total and physical tendencies for met and cloud vars, entire coverage, 1-hr avg Active Dates 1995.04.17 - 2013.12.31 Measurement Categories Atmospheric State Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered scientifically relevant.

166

ARM - Datastreams - xsaprvpt  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsxsaprvpt Datastreamsxsaprvpt Documentation Data Quality Plots Citation DOI: 10.5439/1025329 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSAPRVPT X-SAPR Vertical PoinTing scan Active Dates 2011.04.23 - 2014.01.02 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Precipitation Radar (XSAPR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Radar polarization copol_coeff Radar polarization diff_phase Radar polarization diff_reflectivity Radar polarization diff_reflectivity_corr Radar Doppler doppler_spectral_width Radar polarization dp_phase_shift

167

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsOzone Monitoring Instrument StreamsOzone Monitoring Instrument Documentation OMI Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Ozone Monitoring Instrument (OMI) Information updated on April 10, 2008, 7:10 pm GMT General Data Description The OMI instrument distinguishes between aerosol types, such as smoke, dust, and sulfates, and can measure cloud pressure and coverage, which provide data to derive tropospheric ozone. OMI continues the TOMS record for total ozone and other atmospheric parameters related to ozone chemistry and climate. The OMI instrument is mounted on the EOS Aura platform. The OMI instrument employs hyperspectral imaging in a push-broom mode to observe solar backscatter radiation in the visible and ultraviolet. The

168

ARM - Datastreams - gvrp  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsgvrp Datastreamsgvrp Documentation Data Quality Plots Citation DOI: 10.5439/1025199 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : GVRP G-band (183 GHz) Vapor Radiometer profiler: 15 microwave brightness temperatures from 170.0 to 183.3 GHz Active Dates 2008.04.01 - 2014.01.09 Measurement Categories Radiometric Originating Instrument G-band (183 GHz) Vapor Radiometer Profiler (GVRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Mean radiating temperature K MRT ( frequency ) Noise diode temperature at Tkbb = 290 K K Tnd ( frequency ) Non-linearity correction coefficient None alpha ( frequency )

169

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsTropical Atmosphere Ocean StreamsTropical Atmosphere Ocean from Buoys Documentation TAO Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Tropical Atmosphere Ocean from Buoys (TAO) Information updated on February 3, 2005, 3:19 pm GMT General Data Description These data files contain 2 minute average radiation and 10 minute average meteorology, precipitation, salinity and sea surface temperature data from the seven TAO buoys located on the 165E line (8n, 5n, 2n, 0n, 2s, 5s, 8s) of the TAO Buoy Array. The radiation data were obtained from TAO Array moorings through a collaborative effort between NOAA/PMEL/TAO and DOE/ARM. Data from these buoys are stored in monthly netCDF files that are generated

170

ARM - Datastreams - 05okm  

NLE Websites -- All DOE Office Websites (Extended Search)

5okm 5okm Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 05OKM Oklahoma Mesonet (OKM): 5-min averages, meteorological data from 111 stations Active Dates 1994.01.01 - 2013.11.30 Measurement Categories Atmospheric State, Radiometric Originating Instrument Oklahoma Mesonet (OKM) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable

171

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

StreamsMinnis Cloud Products Using StreamsMinnis Cloud Products Using Visst Algorithm Documentation VISST Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Minnis Cloud Products Using Visst Algorithm (VISST) Information updated on March 29, 2013, 8:35 pm GMT General Data Description These data streams contain satellite based retrievals of cloud and radiation properties by Pat Minnis' group at NASA/Langley using the VISST (Visible Infrared Solar-Infrared Split Window Technique) algorithm. The data streams are both pixel-level (4-km) retrievals and gridded area averages on a 0.3 or 0.5 degree latitude-longitude grid. These data streams replace earlier satellite based retrievals that were

172

ARM - Datastreams - ncepgfsnausfc  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsncepgfsnausfc Datastreamsncepgfsnausfc Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSNAUSFC NCEP GFS: flux variables at Nauru Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo1 Surface albedo albedo2 Surface albedo albedo3 Surface albedo albedo4 Precipitation canopy_water Cloud fraction conv_a Cloud base height conv_bpres Cloud top height

173

Random time series in astronomy  

Science Journals Connector (OSTI)

...Thomas J. Maccarone Random time series in astronomy Simon Vaughan e-mail: simon.vaughan@leicester.ac.uk X-ray and Observational Astronomy Group, Department of Physics and Astronomy, University of Leicester, Leicester LE1...

2013-01-01T23:59:59.000Z

174

Benchmarking of energy time series  

SciTech Connect

Benchmarking consists of the adjustment of time series data from one source in order to achieve agreement with similar data from a second source. The data from the latter source are referred to as the benchmark(s), and often differ in that they are observed at a lower frequency, represent a higher level of temporal aggregation, and/or are considered to be of greater accuracy. This report provides an extensive survey of benchmarking procedures which have appeared in the statistical literature, and reviews specific benchmarking procedures currently used by the Energy Information Administration (EIA). The literature survey includes a technical summary of the major benchmarking methods and their statistical properties. Factors influencing the choice and application of particular techniques are described and the impact of benchmark accuracy is discussed. EIA applications and procedures are reviewed and evaluated for residential natural gas deliveries series and coal production series. It is found that the current method of adjusting the natural gas series is consistent with the behavior of the series and the methods used in obtaining the initial data. As a result, no change is recommended. For the coal production series, a staged approach based on a first differencing technique is recommended over the current procedure. A comparison of the adjustments produced by the two methods is made for the 1987 Indiana coal production series. 32 refs., 5 figs., 1 tab.

Williamson, M.A.

1990-04-01T23:59:59.000Z

175

ARM - Datastreams - sodar  

NLE Websites -- All DOE Office Websites (Extended Search)

time ( time ) Time offset from basetime timeoffset ( time ) Vertical component of wind speed, positive value means wind blowing upward ms vertwspd ( time, height )...

176

ARM - Datastreams - 1440twr21x  

NLE Websites -- All DOE Office Websites (Extended Search)

1x 1x Documentation Data Quality Plots Citation DOI: 10.5439/1025024 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1440TWR21X Sixty Meter Tower: daily minimum/maximum meterological data, with times Active Dates 1994.03.24 - 1996.02.04 Measurement Categories Atmospheric State Originating Instrument Facility-specific multi-level Meteorological Instrumentation (TWR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric moisture max_rh Atmospheric temperature max_temp Atmospheric moisture max_vap_pres Atmospheric moisture min_rh Atmospheric temperature min_temp Atmospheric moisture

177

ARM - Datastreams - wacrspeccmaskxpol  

NLE Websites -- All DOE Office Websites (Extended Search)

C TempAntennaBottom ( time ) Antenna top temperature C TempAntennaTop ( time ) Chiller temperature C TempChiller ( time ) Chiller return temperature C TempChillerReturn...

178

ARM - Datastreams - kazrhi  

NLE Websites -- All DOE Office Websites (Extended Search)

doppler velocity, cross-polarization dBZ meandopplervelocityxpol ( time, range ) Pitch, bow up positive degrees pitch ( time ) Quality check results on field: Mean doppler...

179

ARM - Datastreams - tsiskycover  

NLE Websites -- All DOE Office Websites (Extended Search)

in box, outside mirror area pixels countbox ( time ) Pixel count: number in camera and sun strip mask pixels countmask ( time ) Pixel count: number total opaque pixels...

180

ARM - Datastreams - 50rwpwindcon  

NLE Websites -- All DOE Office Websites (Extended Search)

power ) Vertical FFT bandwidth ms vband ( power ) Horizontal wind Beam 0 radial wind speed ms vel0 ( time, rangegate, power ) Horizontal wind Beam 1 radial wind speed ms...

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

ARM - Datastreams - 1twr25m  

NLE Websites -- All DOE Office Websites (Extended Search)

1twr25m Archive Data Plot Example 1twr25m Archive Data Plot Datastream : 1TWR25M Sixty Meter Tower: 1-min average temp, humidity & vapor press. at 25-m height Active Dates...

182

ARM - Datastreams - 30twr21x  

NLE Websites -- All DOE Office Websites (Extended Search)

Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 30TWR21X Sixty Meter Tower: temperature, humidity, & vapor pressure, 30-min avg Active Dates 1993.07.01 -...

183

ARM - Datastreams - 30twr10x  

NLE Websites -- All DOE Office Websites (Extended Search)

Archive Data Plot Example 30twr10x Archive Data Plot Datastream : 30TWR10X Sixty Meter Tower: temperature, humidity, & vapor pressure, 30-min avg Active Dates 1997.09.12 -...

184

ARM - Datastreams - 1twr10x  

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1twr10x Archive Data Plot Example 1twr10x Archive Data Plot Datastream : 1TWR10X Sixty Meter Tower: temp, humidity & vapor pressure, 1-min avg Active Dates 1997.09.12 - 2015.01.28...

185

ARM - Datastreams - 30twr60m  

NLE Websites -- All DOE Office Websites (Extended Search)

Archive Data Plot Example 30twr60m Archive Data Plot Datastream : 30TWR60M Sixty Meter Tower: temperature, humidity, & vapor pressure at 60-m, 30-min avg Active Dates...

186

ARM - Datastreams - 30twr25m  

NLE Websites -- All DOE Office Websites (Extended Search)

Archive Data Plot Example 30twr25m Archive Data Plot Datastream : 30TWR25M Sixty Meter Tower: temperature, humidity, & vapor pressure at 25-m, 30-min average Active Dates...

187

ARM - Datastreams - 1twr60m  

NLE Websites -- All DOE Office Websites (Extended Search)

1twr60m Archive Data Plot Example 1twr60m Archive Data Plot Datastream : 1TWR60M Sixty Meter Tower: 1-min average temp, humidity & vapor press. at 60-m height Active Dates...

188

DCU Library User Guide -DataStream Advance 5.1 What is DataStream?  

E-Print Network (OSTI)

on Criteria Search, enter your search terms and click on Search. 5. Double-click on the DS Mnemonic you want on the designated DataStream PC in the Library's information commons. You'll be prompted to "Enter Password". Type is not broken!). 2. At Novell Login: "Workstation only" must be ticked. This automatically enters "datastream

Humphrys, Mark

189

Time series anomaly detection using recessive subsequence  

Science Journals Connector (OSTI)

Time series arise frequently in many sciences and engineering application, including finance, digital audio, motion capture, network security, and transportation. In this work, we propose a technique for discovering anomalies in time series that takes ...

Yonchanok Khaokaew; Sirikarn Pukkawanna

2012-02-01T23:59:59.000Z

190

ARM - Datastreams - twrcam3m  

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Datastreamstwrcam3m Datastreamstwrcam3m Documentation Data Quality Plots Citation DOI: 10.5439/1025311 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : TWRCAM3M Three Meter Tower: video camera Active Dates 2002.03.25 - 2013.07.09 Measurement Categories Surface Properties Originating Instrument Tower Camera (TWRCAM) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface condition jpg Locations North Slope Alaska NSA C2 Browse Data Central Facility, Atqasuk AK ARM Mobile Facility FKB M1 Browse Data Black Forest, Germany GRW M1 Browse Data Graciosa Island, Azores, Portugal NIM M1 Browse Data Niamey, Niger

191

ARM - Datastreams - ruc20hybr  

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hybr hybr Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : RUC20HYBR Rapid Update Cycle (RUC) model: daily hybrid analysis data, 20 km resolution Active Dates 2002.04.18 - 2012.05.01 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Convection cape Convection cape255 Convection cinhib Convection cinhib255 Latent heat flux fluxlatentsrf Longwave broadband net irradiance fluxlwnetsrf Sensible heat flux fluxsensiblesrf

192

ARM - Datastreams - allruc20hybr  

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hybr hybr Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ALLRUC20HYBR Rapid Update Cycle (RUC) model: hybrid analysis data, 20-km resolution Active Dates 2002.05.15 - 2002.10.16 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Convection cape Convection cinhib Latent heat flux fluxlatentsrf Longwave broadband net irradiance fluxlwnetsrf Sensible heat flux fluxsensiblesrf Shortwave broadband total net irradiance

193

ARM - Datastreams - ecmwfsfc1l  

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Datastreamsecmwfsfc1l Datastreamsecmwfsfc1l Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFSFC1L ECMWF: surface variables and fluxes, single layer, 1-hr avg Active Dates 2000.09.13 - 2013.12.31 Measurement Categories Atmospheric State, Radiometric, Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered

194

ARM - Datastreams - mfrirt25m  

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Datastreamsmfrirt25m Datastreamsmfrirt25m Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MFRIRT25M Infrared Thermometer (MFRIRT): upwelling radiance, instantaneous 20-sec at 25-meter height Active Dates 2001.04.01 - 2001.09.26 Measurement Categories Radiometric, Surface Properties Originating Instrument Multifilter Radiometer and Infrared Thermometer (MFRIRT) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface skin temperature sfc_ir_temp Longwave broadband upwelling irradiance up_long_hemisp Shortwave broadband total upwelling irradiance up_short_hemisp Locations Southern Great Plains

195

ARM - Datastreams - mettwr2h  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsmettwr2h Datastreamsmettwr2h Documentation Data Quality Plots Citation DOI: 10.5439/1025222 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mettwr2h Archive Data Plot Example mettwr2h Archive Data Plot Datastream : METTWR2H Meteorological tower with 2 sampling heights (2 and 5 m) Active Dates 2003.11.06 - 2008.09.08 Measurement Categories Atmospheric State Originating Instrument Surface and Tower Meteorological Instrumentation at NSA (METTWR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric pressure AtmPress Visibility AvgVis1mi Visibility AvgVis10m Atmospheric moisture

196

ARM - Datastreams - ruc20isob  

NLE Websites -- All DOE Office Websites (Extended Search)

isob isob Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : RUC20ISOB Rapid Update Cycle (RUC) model: daily isobaric analysis data, 20 km resolution Active Dates 2002.04.18 - 2012.05.01 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Convection cape Convection cape255 Precipitation catfreezerain Precipitation caticepellets Precipitation catrain Precipitation catsnow Convection cinhib Convection cinhib255 Cloud base height heightcldbase

197

ARM - Datastreams - allruc20isob  

NLE Websites -- All DOE Office Websites (Extended Search)

isob isob Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ALLRUC20ISOB Rapid Update Cycle (RUC) model: isobaric main analysis data, 20-km resolution Active Dates 2002.05.15 - 2002.10.16 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Convection cape Precipitation catfreezerain Precipitation caticepellets Precipitation catrain Precipitation catsnow Convection cinhib Cloud base height heightcldbase Cloud top height heightcldtop Cloud top height

198

ARM - Datastreams - brs60s  

NLE Websites -- All DOE Office Websites (Extended Search)

Datastreamsbrs60s Datastreamsbrs60s Documentation Data Quality Plots Citation DOI: 10.5439/1025162 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : BRS60S Broadband Radiometer Station (BRS): 60-second broadband shortwave and longwave radiation Active Dates 2001.03.05 - 2003.04.17 Measurement Categories Radiometric Originating Instrument Broadband Radiometer Station (BRS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Longwave broadband downwelling irradiance down_long_hemisp_shaded Longwave broadband downwelling irradiance down_long_hemisp_shaded_max Longwave broadband downwelling irradiance

199

ARM - Datastreams - allruc40hybr  

NLE Websites -- All DOE Office Websites (Extended Search)

hybr hybr Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ALLRUC40HYBR Rapid Update Cycle (RUC) model: hybrid analyisis data, 40 km resolution Active Dates 1998.12.05 - 2002.04.16 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Convection cape Convection cinhib Latent heat flux fluxlatentsrf Longwave broadband net irradiance fluxlwnetsrf Sensible heat flux fluxsensiblesrf Shortwave broadband total net irradiance

200

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Time Series Analysis James D. Hamilton  

E-Print Network (OSTI)

Time Series Analysis James D. Hamilton Since its publication just over ten years ago, James Hamilton's Time Series Analysis has taken its place in the canon of modern technical eco- nomic literature study, Hamilton's book en- joyed popularity among econometricians in seminars in Europe and North

Landweber, Laura

202

ARM - Datastreams - 1twr21x  

NLE Websites -- All DOE Office Websites (Extended Search)

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1TWR21X Sixty Meter Tower: temp, humidity & vapor pressure, 1-min avg Active Dates 1993.07.01 - 1996.02.05...

203

Can biomass time series be reliably assessed from CPUE time series data Francis Lalo1  

E-Print Network (OSTI)

1 Can biomass time series be reliably assessed from CPUE time series data only? Francis Laloë1 to abundance. This means (i) that catchability is constant and (ii) that all the biomass is catchable. If so, relative variations in CPUE indicate the same relative variations in biomass. Myers and Worm consider

Hawai'i at Manoa, University of

204

Revisiting Algorithms for Generating Surrogate Time Series  

Science Journals Connector (OSTI)

The method of surrogates is one of the key concepts of nonlinear data analysis. Here, we demonstrate that commonly used algorithms for generating surrogates often fail to generate truly linear time series. Rather, they create surrogate realizations with Fourier phase correlations leading to nondetections of nonlinearities. We argue that reliable surrogates can only be generated, if one tests separately for static and dynamic nonlinearities.

C. Räth, M. Gliozzi, I. E. Papadakis, and W. Brinkmann

2012-10-05T23:59:59.000Z

205

Overview of the Radiant Time Series Method  

E-Print Network (OSTI)

/CLF procedure. 1988 ­ Sowell publishes results of 200,000+ DOE-2 calculations of custom weighting factors; Mc are published in ASHRAE Handbook of Fundamentals #12;RTSM Algorithm Conduction Gains Split all heat gains Provide Some Physical Insight Into the Nature of the Calculation #12;The Radiant Time Series Steady

206

Hurst exponents for short time series  

Science Journals Connector (OSTI)

A concept called balanced estimator of diffusion entropy is proposed to detect quantitatively scalings in short time series. The effectiveness is verified by detecting successfully scaling properties for a large number of artificial fractional Brownian motions. Calculations show that this method can give reliable scalings for short time series with length ?102. It is also used to detect scalings in the Shanghai Stock Index, five stock catalogs, and a total of 134 stocks collected from the Shanghai Stock Exchange Market. The scaling exponent for each catalog is significantly larger compared with that for the stocks included in the catalog. Selecting a window with size 650, the evolution of scaling for the Shanghai Stock Index is obtained by the window's sliding along the series. Global patterns in the evolutionary process are captured from the smoothed evolutionary curve. By comparing the patterns with the important event list in the history of the considered stock market, the evolution of scaling is matched with the stock index series. We can find that the important events fit very well with global transitions of the scaling behaviors.

Jingchao Qi and Huijie Yang

2011-12-19T23:59:59.000Z

207

Normalizing the causality between time series  

E-Print Network (OSTI)

Recently, a rigorous yet concise formula has been derived to evaluate the information flow, and hence the causality in a quantitative sense, between time series. To assess the importance of a resulting causality, it needs to be normalized. The normalization is achieved through distinguishing three types of fundamental mechanisms that govern the marginal entropy change of the flow recipient. A normalized or relative flow measures its importance relative to other mechanisms. In analyzing realistic series, both absolute and relative information flows need to be taken into account, since the normalizers for a pair of reverse flows belong to two different entropy balances; it is quite normal that two identical flows may differ a lot in relative importance in their respective balances. We have reproduced these results with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of the Indian Ocean Dipole as ...

Liang, X San

2015-01-01T23:59:59.000Z

208

CHAPTER XVI - TIME SERIES: SEASONAL FLUCTUATIONS  

Science Journals Connector (OSTI)

Publisher Summary This chapter discusses the seasonal fluctuations in time series. Seasonal variations are defined either to be studied separately or—more often—to be removed, thus, allowing concentrating on the remaining variation. If the annual data are not strongly influenced by trend movements or cyclical changes, it is possible to compare seasonal data usually—monthly data with averages not adjusted for trend and express them as percentages of these averages. In reality, the amplitude and period of seasonal movements vary in most cases from year to year, being affected by seasonal as well as by cyclical, random, and other nonseasonal factors. The averages, expressed in percentages, thus obtained are preliminary seasonal indexes. Seasonal indices based on the fitting of curves to monthly ratios, expressed as percentages, to moving averages are called moving seasonal indexes.

ISAAC PAENSON

1970-01-01T23:59:59.000Z

209

Hypothesis Testing for Autocorrelated Short Climate Time Series  

Science Journals Connector (OSTI)

Commonly used statistical tests of hypothesis, also termed inferential tests, that are available to meteorologists and climatologists all require independent data in the time series to which they are applied. However, most of the time series that ...

Virginie Guemas; Ludovic Auger; Francisco J. Doblas-Reyes

2014-03-01T23:59:59.000Z

210

EOD TIME SERIES ANALYSIS OF GNATHONEMUS PETERSII  

Science Journals Connector (OSTI)

SUMMARY Series of electric organ discharges of Gnathonemus petersii were recorded by means of a pair of symmetrical electrode assemblies on each side of the fish. The spontaneous \\{EODs\\} in the stationary phase were differentiated (into two groups) according to amplitude variations; the left-dominant and the right-dominant groups. It is concluded that the electric organs are discharging alternately with a monomodal interval distribution on each side. A small distance between bilateral electric organs which would produce temporal EOD slipping-off is far more effective for detection of the electric field disturbances.

S. Chichibu

1981-01-01T23:59:59.000Z

211

Genetic programming and serial processing for time series classification  

Science Journals Connector (OSTI)

This work describes an approach devised by the authors for time series classification. In our approach genetic programming is used in combination with a serial processing of data, where the last output is the result of the classification. The use of ... Keywords: Classification, genetic programming, real world applications, serial data processing, time series

Eva Alfaro-Cid; Ken Sharman; Anna I. Esparcia-Alcázar

2014-06-01T23:59:59.000Z

212

Generating Scenarios of Local Surface Temperature Using Time Series Methods  

Science Journals Connector (OSTI)

A method for creating scenarios of time series of monthly mean surface temperature at a specific site is developed. It is postulated that surface temperature can be specified as a linear combination of regional and local temperature components, ...

Robert S. Chen; Peter J. Robinson

1991-07-01T23:59:59.000Z

213

Cluster-weighted modelling for time-series analysis  

Science Journals Connector (OSTI)

... system, Fig. 4 plots time-series data recorded from a violin, with the output audio as well as the relevant player inputs (bow and finger positions) used to perform ...

N. Gershenfeld; B. Schoner; E. Metois

1999-01-28T23:59:59.000Z

214

Weighted statistical parameters for irregularly sampled time series  

E-Print Network (OSTI)

Unevenly spaced time series are common in astronomy because of the day-night cycle, weather conditions, dependence on the source position in the sky, allocated telescope time, corrupt measurements, for example, or be inherent to the scanning law of satellites like Hipparcos and the forthcoming Gaia. This paper aims at improving the accuracy of common statistical parameters for the characterization of irregularly sampled signals. The uneven representation of time series, often including clumps of measurements and gaps with no data, can severely disrupt the values of estimators. A weighting scheme adapting to the sampling density and noise level of the signal is formulated. Its application to time series from the Hipparcos periodic catalogue led to significant improvements in the overall accuracy and precision of the estimators with respect to the unweighted counterparts and those weighted by inverse-squared uncertainties. Automated classification procedures employing statistical parameters weighted by the sugg...

Rimoldini, Lorenzo

2014-01-01T23:59:59.000Z

215

Forecasting correlated time series with exponential smoothing models  

Science Journals Connector (OSTI)

This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection criterion is introduced into the forecasting scheme for selecting the most adequate multivariate model for describing the behaviour of the time series under study. The forecasting performance of this procedure is tested using some real examples.

Ana Corberán-Vallet; José D. Bermúdez; Enriqueta Vercher

2011-01-01T23:59:59.000Z

216

CONSISTENT FUNCTIONAL PCA FOR FINANCIAL TIME-SERIES Sebastian Jaimungal  

E-Print Network (OSTI)

of Figure 1 we present a time-series resulting from the NYMEX light sweet crude oil futures price data set sweet crude oil futures curves and demonstrate that it contains significant advan- tages over FPCA as opposed to a modification of the usual PCA is quite simple: futures price data on a given day

Jaimungal, Sebastian

217

Trade and Income Exploiting Time Series in James Feyrer  

E-Print Network (OSTI)

Trade and Income ­ Exploiting Time Series in Geography James Feyrer Dartmouth College October 23. Rodriguez and Rodrik (2000) show that these results are not robust to controlling for omitted variables conferences for helpful comments. All errors are my own. james.feyrer@dartmouth.edu, Dartmouth College

Lotko, William

218

Semi-Supervised Time Series Classification Li Wei Eamonn Keogh  

E-Print Network (OSTI)

, and hospitals often archive even larger amounts of ECG data for legal reasons. Recent advances in sensor examples to construct accurate classifiers. Furthermore, we are able to leverage off recent advancesSemi-Supervised Time Series Classification Li Wei Eamonn Keogh Department of Computer Science

Zordan, Victor

219

Time series of a CME blasting out from the Sun  

E-Print Network (OSTI)

#12;Time series of a CME blasting out from the Sun Composite image of the Sun in UV light with the naked eye, the Sun seems static, placid, constant. From the ground, the only notice- able variations in the Sun are its location (where will it rise and set today?) and its color (will clouds cover

Christian, Eric

220

Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting  

Science Journals Connector (OSTI)

Time series forecasting (TSF) is an important tool to support decision making (e.g., planning production resources). Artificial neural networks (ANNs) are innate candidates for TSF due to advantages such as nonlinear learning and noise tolerance. However, ... Keywords: Estimation distribution algorithm, Multilayer perceptron, Regression, Time series

Juan Peralta Donate, Paulo Cortez

2014-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

National Ignition Campaign (NIC) Precision Tuning Series Shock Timing Experiments  

SciTech Connect

A series of precision shock timing experiments have been performed on NIF. These experiments continue to adjust the laser pulse shape and employ the adjusted cone fraction (CF) in the picket (1st 2 ns of the laser pulse) as determined from the re-emit experiment series. The NIF ignition laser pulse is precisely shaped and consists of a series of four impulses, which drive a corresponding series of shock waves of increasing strength to accelerate and compress the capsule ablator and fuel layer. To optimize the implosion, they tune not only the strength (or power) but also, to sub-nanosecond accuracy, the timing of the shock waves. In a well-tuned implosion, the shock waves work together to compress and heat the fuel. For the shock timing experiments, a re-entrant cone is inserted through both the hohlraum wall and the capsule ablator allowing a direct optical view of the propagating shocks in the capsule interior using the VISAR (Velocity Interferometer System for Any Reflector) diagnostic from outside the hohlraum. To emulate the DT ice of an ignition capsule, the inside of the cone and the capsule are filled with liquid deuterium.

Robey, H F; Celliers, P M

2011-07-19T23:59:59.000Z

222

E-Print Network 3.0 - analyzing time-series gene Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

series in terms of number... gene networks from time series include boolean network models, 5 Correlation Metric Construction, 6... - constructed time ... Source: D'haeseleer,...

223

Temporal Resolution in Time Series and Probabilistic Models of Renewable Power Eric Hoevenaars  

E-Print Network (OSTI)

prediction of autonomous power systems: time series and probabilistic. Time series models are more common Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.2.1 Wind Turbine Model

Victoria, University of

224

Time series data mining for the Gaia variability analysis  

E-Print Network (OSTI)

Gaia is an ESA cornerstone mission, which was successfully launched December 2013 and commenced operations in July 2014. Within the Gaia Data Processing and Analysis consortium, Coordination Unit 7 (CU7) is responsible for the variability analysis of over a billion celestial sources and nearly 4 billion associated time series (photometric, spectrophotometric, and spectroscopic), encoding information in over 800 billion observations during the 5 years of the mission, resulting in a petabyte scale analytical problem. In this article, we briefly describe the solutions we developed to address the challenges of time series variability analysis: from the structure for a distributed data-oriented scientific collaboration to architectural choices and specific components used. Our approach is based on Open Source components with a distributed, partitioned database as the core to handle incrementally: ingestion, distributed processing, analysis, results and export in a constrained time window.

Nienartowicz, Krzysztof; Guy, Leanne; Holl, Berry; Lecoeur-Taïbi, Isabelle; Mowlavi, Nami; Rimoldini, Lorenzo; Ruiz, Idoia; Süveges, Maria; Eyer, Laurent

2014-01-01T23:59:59.000Z

225

Power spectrum characteristics of body sway time series and velocity time series of the center of foot pressure during a static upright posture in preschool children  

Science Journals Connector (OSTI)

This study aimed to assess individual and gender differences in power spectra in the body sway time series and sway velocity time series during a static upright standing posture using 30 preschool children and...

S. Demura; T. Kitabayashi

2008-08-01T23:59:59.000Z

226

CDIAC::Carbon Emission::Time Series Global Data  

NLE Websites -- All DOE Office Websites (Extended Search)

The 2013 version of this database presents a time series recording 1° The 2013 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2010. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2010 were published earlier (Boden et al. 2013). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on

227

Tracing of Error in a Time Series Data  

E-Print Network (OSTI)

A physical (e.g. astrophysical, geophysical, meteorological etc.) data may appear as an output of an experiment or it may contain some sociological, economic or biological information. Whatever be the source of a time series data some amount of noise is always expected to be embedded in it. Analysis of such data in presence of noise may often fail to give accurate information. Although text book data filtering theory is primarily concerned with the presences of random, zero mean errors; but in reality, errors in data are often systematic rather than random. In the present paper we produce different models of systematic error in the time series data. This will certainly help to trace the systematic error present in the data and consequently that can be removed as possible to make the data compatible for further study.

Koushik Ghosh; Probhas Raychaudhuri

2007-01-30T23:59:59.000Z

228

ARM - Datastreams - 30co2flx60m  

NLE Websites -- All DOE Office Websites (Extended Search)

flx60m flx60m Documentation Data Quality Plots Citation DOI: 10.5439/1025038 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 30CO2FLX60M Eddy Correlation CO2 Flux Data: 60 m samples, 30-min avg Active Dates 2001.01.01 - 2013.01.27 Measurement Categories Atmospheric Carbon, Atmospheric State, Surface Properties Originating Instrument Carbon Dioxide Flux Measurement Systems (CO2FLX) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric turbulence Lmoni CO2 flux fc_corr CO2 flux fc_wpl_h CO2 flux fc_wpl_le Sensible heat flux h Latent heat flux le CO2 concentration mean_c Atmospheric moisture

229

ARM - Datastreams - 30co2flx4mmet  

NLE Websites -- All DOE Office Websites (Extended Search)

mmet mmet Documentation Data Quality Plots Citation DOI: 10.5439/1025037 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 30CO2FLX4MMET Eddy Correlation CO2 Flux Data: 4 m samples, meteorological data, 30-min stats Active Dates 2002.12.18 - 2013.01.27 Measurement Categories Atmospheric Carbon, Atmospheric State, Radiometric, Surface Properties Originating Instrument Carbon Dioxide Flux Measurement Systems (CO2FLX) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric turbulence Lmoni Atmospheric pressure bar_pres CO2 flux fc_corr CO2 flux fc_wpl_h CO2 flux fc_wpl_le Sensible heat flux

230

Pacific Ocean observation programs: Gaps in ecological time series  

Science Journals Connector (OSTI)

Abstract How well do existing ocean observation programs monitor the oceans through space and time? A meta-analysis of ocean observation programs in the Pacific Ocean was carried out to determine where and how key parameters defining the physics, chemistry, and biology of the oceans were measured. The analysis indicates that although the chemistry and physics of the Pacific Ocean are reasonably well monitored, ecological monitoring remains largely ad hoc, patchy, unsystematic, and inconsistent. The California Cooperative Oceanic Fisheries Investigations (CalCOFI), for example, is the only Pacific Ocean program in which the zooplankton and micronekton are resolved to species with consistent time series of greater than 20 years duration. Several studies now indicate massive changes to nearshore, mesopelagic and other fish communities of the southern California Current but available time series do not allow these potential changes to be examined more widely. Firm commitment from the global community to sustained, representative, quantitative marine observations at the species level is required to adequately assess the ecological status of the oceans.

J. Anthony Koslow; Jennifer Couture

2015-01-01T23:59:59.000Z

231

Some applications of wavelets to time series data  

E-Print Network (OSTI)

stationary time series {Xt} is said to have long memory when long memory parameter d is between 0 and 0.5. Many methods of estimating long memory parameter based on its decay rate of autocorrelation or behavior of spectral density around zero have been....For consistency, some people consider the original dataXt asv0,t. Due to decimating property, we haveN/2j wavelet and scaling coefficients at levelj. The constraint on sample size, N = 2J can be relaxed by considering partial discrete wavelet transform. 2...

Jeong, Jae Sik

2009-05-15T23:59:59.000Z

232

ARM: Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09  

DOE Data Explorer (OSTI)

Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09

Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen

233

Time series power flow analysis for distribution connected PV generation.  

SciTech Connect

Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.

Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN

2013-01-01T23:59:59.000Z

234

Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing  

Science Journals Connector (OSTI)

Time Series was introduced to improve the forecasting made by statistical methods in vague or imprecise data and in time series with few samples available. However, the integration of these concepts is a little e...

Fábio José Justo dos Santos…

2014-01-01T23:59:59.000Z

235

Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering  

Science Journals Connector (OSTI)

An application of multiway spectral clustering with out-of-sample extensions towards clustering time series is presented. The data correspond to power load time series acquired from substations in the ... eigenve...

Carlos Alzate; Marcelo Espinoza; Bart De Moor…

2009-01-01T23:59:59.000Z

236

A time-series approach to dynamical systems from classical and quantum worlds  

SciTech Connect

This contribution discusses some recent applications of time-series analysis in Random Matrix Theory (RMT), and applications of RMT in the statistial analysis of eigenspectra of correlation matrices of multivariate time series.

Fossion, Ruben [Instituto Nacional de Geriatría, Periférico Sur No. 2767, Col. San Jerónimo Lídice, Del. Magdalena Contreras, 10200 México D.F., Mexico and Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autó (Mexico)

2014-01-08T23:59:59.000Z

237

E-Print Network 3.0 - ad-hoc time series Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

series Search Powered by Explorit Topic List Advanced Search Sample search results for: ad-hoc time series Page: << < 1 2 3 4 5 > >> 1 International Journal of Information...

238

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data  

Science Journals Connector (OSTI)

SumTime-Turbine...produces textual summaries of archived time-series data from gas turbines. These summaries should help experts understand large...SumTime-Turbine is based on pattern detection, ...

Jin Yu; Ehud Reiter; Jim Hunter…

2003-01-01T23:59:59.000Z

239

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data  

E-Print Network (OSTI)

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu produces textual summaries of archived time- series data from gas turbines. These summaries should help evaluated. 1 Introduction In order to get the most out of gas turbines, TIGER [2] has been developed

Reiter, Ehud

240

The Living Planet Index: using species population time series to track trends in biodiversity  

E-Print Network (OSTI)

The Living Planet Index: using species population time series to track trends in biodiversity of the world's biodiversity over time. It uses time-series data to calculate average rates of change in a large number of populations of terrestrial, freshwater and marine vertebrate species. The dataset contains

Vermont, University of

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

The level crossing analysis of German stock market index (DAX) and daily oil price time series  

E-Print Network (OSTI)

The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\

Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi

2010-01-01T23:59:59.000Z

242

Resampling Methodology in Spatial Prediction and Repeated Measures Time Series  

E-Print Network (OSTI)

procedure can also be used to produce prediction intervals. When 18 the Y (?) process is Gaussian, these prediction intervals should perform no better than the interval in (D.14). However, when working with real world data, the assumptions of a Gaussian...- series representation given by ?(x) = ?? k=0 dk(x? ?(s0))k, x ? R (E.19) for some d0, d1, . . . ? R. Further, supppose that E [ Z?n(s0) ]2 = O(1) and that for some k1 ? (0,?), ?? k=1 ?? j=1 kj|dkdj|2 (k+j?2)/2? ( k + j ? 1 2 )[ ?j+k?2...

Rister, Krista Dianne

2012-02-14T23:59:59.000Z

243

OBST-based segmentation approach to financial time series Yain-Whar Si n  

E-Print Network (OSTI)

applications. Examples of time series include historical price and trading volume obtained from financial stock' judgment. In technical analysis, time series data such as historical price, volume, and other statistical the movement of the price. Analysts may also take into account other factors such as government policies

Si, Yain Whar "Lawrence"

244

A scientific data processing framework for time series NetCDF data  

Science Journals Connector (OSTI)

The Atmospheric Radiation Measurement (ARM) Data Integrator (ADI) is a framework designed to streamline the development of scientific algorithms that analyze, and models that use time-series NetCDF data. ADI automates the process of retrieving and preparing ... Keywords: Atmospheric science, Data management, NetCDF, Observation data, Scientific data analysis, Scientific workflow, Time-series

Krista Gaustad, Tim Shippert, Brian Ermold, Sherman Beus, Jeff Daily, Atle Borsholm, Kevin Fox

2014-10-01T23:59:59.000Z

245

Inverting geodetic time series with a principal component analysis-based inversion method  

E-Print Network (OSTI)

Inverting geodetic time series with a principal component analysis-based inversion method A. P (2010), Inverting geodetic time series with a principal component analysis-based inversion method, J; Cohen, 1999]. This formulation is linear and easily inverted using standard algorithms. The distribution

Avouac, Jean-Philippe

246

TQuEST: Threshold Query Execution for Large Sets of Time Series  

E-Print Network (OSTI)

. environmental air pollution which has gained rapidly increasing attention by many European research projects million time series, each representing the daily course of air pollution parameters1 . It is important data mining in time series databases is essential in many application domains as for instance

Kriegel, Hans-Peter

247

Long-range correlations and trends in Colombian seismic time series  

E-Print Network (OSTI)

We detect long-range correlations and trends in time series extracted from the data of seismic events occurred since 1973 until 2011 in a rectangular region that contain mainly all the continental part of Colombia. The long-range correlations are detected by the calculation of the Hurst exponents for the time series of interevent intervals, separation distances, depth differences and magnitude differences. By using a geometrical modification of the classical R/S method that has been developed to detect long-range correlations in short time series, we find the existence of persistence for all the time series considered. We find also, by using the DFA until the third order, that the time series of interevent intervals, separation distances and depth differences are influenced by quadratic trends, while the time series of magnitude differences is influenced by a linear trend. Finally, for the time series of interevent intervals, we present an analysis of the Hurst exponent as a function of the time and the minim...

Martin-Montoya, L A; Quimbay, C J

2014-01-01T23:59:59.000Z

248

Cliometrics and Time Series Econometrics: Some Theory and Applications  

E-Print Network (OSTI)

. Applications include a discussion of the timing and potential causes of the British Industrial Revolution, convergence, long memory, graphical modelling, British Industrial Revolution. JEL classifications N33, O47, O

Hickman, Mark

249

A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series  

SciTech Connect

Online time series change detection is a critical component of many monitoring systems, such as space and air-borne remote sensing instruments, cardiac monitors, and network traffic profilers, which continuously analyze observations recorded by sensors. Data collected by such sensors typically has a periodic (seasonal) component. Most existing time series change detection methods are not directly applicable to handle such data, either because they are not designed to handle periodic time series or because they cannot operate in an online mode. We propose an online change detection algorithm which can handle periodic time series. The algorithm uses a Gaussian process based non-parametric time series prediction model and monitors the difference between the predictions and actual observations within a statistically principled control chart framework to identify changes. A key challenge in using Gaussian process in an online mode is the need to solve a large system of equations involving the associated covariance matrix which grows with every time step. The proposed algorithm exploits the special structure of the covariance matrix and can analyze a time series of length T in O(T^2) time while maintaining a O(T) memory footprint, compared to O(T^4) time and O(T^2) memory requirement of standard matrix manipulation methods. We experimentally demonstrate the superiority of the proposed algorithm over several existing time series change detection algorithms on a set of synthetic and real time series. Finally, we illustrate the effectiveness of the proposed algorithm for identifying land use land cover changes using Normalized Difference Vegetation Index (NDVI) data collected for an agricultural region in Iowa state, USA. Our algorithm is able to detect different types of changes in a NDVI validation data set (with ~80% accuracy) which occur due to crop type changes as well as disruptive changes (e.g., natural disasters).

Chandola, Varun [ORNL; Vatsavai, Raju [ORNL

2011-01-01T23:59:59.000Z

250

A new improved forecasting method integrated fuzzy time series with the exponential smoothing method  

Science Journals Connector (OSTI)

This paper presents a new method of integrated fuzzy time series with the exponential smoothing method to forecast university enrolments. The data of historical enrolments of the University of Alabama shown in Liu et al. (2011) are adopted to illustrate the forecasting process of the proposed method. A comparison has been made with five previous fuzzy time series models. Meanwhile, the mean squared error has also been calculated as the evaluation criterion to illustrate the performance of the proposed method. The empirical analysis shows that the proposed model reflects the fluctuations in fuzzy time series better and provides better overall forecasting results than the five listed previous models.

Peng Ge; Jun Wang; Peiyu Ren; Huafeng Gao; Yuyan Luo

2013-01-01T23:59:59.000Z

251

IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY  

E-Print Network (OSTI)

series analyses of air pollution and health attracted the attention of the scientific community, policy uncertainty in time series studies of air pollution and health. This discovery delayed the completion) for six "criteria" air pollutants at a level that protects the public's health (Environmental Protection

Hastie, Trevor

252

Holt’s exponential smoothing and neural network models for forecasting interval-valued time series  

Science Journals Connector (OSTI)

Interval-valued time series are interval-valued data that are collected in a chronological sequence over time. This paper introduces three approaches to forecasting interval-valued time series. The first two approaches are based on multilayer perceptron (MLP) neural networks and Holt’s exponential smoothing methods, respectively. In Holt’s method for interval-valued time series, the smoothing parameters are estimated by using techniques for non-linear optimization problems with bound constraints. The third approach is based on a hybrid methodology that combines the MLP and Holt models. The practicality of the methods is demonstrated through simulation studies and applications using real interval-valued stock market time series.

André Luis Santiago Maia; Francisco de A.T. de Carvalho

2011-01-01T23:59:59.000Z

253

Essays on Bayesian Time Series and Variable Selection  

E-Print Network (OSTI)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 vi LIST OF FIGURES FIGURE Page 2.1 Dynamic Model. Given xt, yt is independent of y1:t?1, x1:t?1. . . . . . . 7 2.2 The figure shows estimated value of ? and ?2 from : (a)-(b) Stochastic Approximation approach; (c)-(d) Augmentation approach. In each... Sorenson (1970). 6 Let yt and xt be the p and q dimensional observation and hidden state variable at the time t. Let ? be set of unknown parameter. Figure (2.1) depicts the dynamic relation between yt and xt. The generalized version of state-space model can...

De, Debkumar

2014-05-08T23:59:59.000Z

254

Simulation of time series of storms and weather windows based on wind conditions data  

Science Journals Connector (OSTI)

Stated is an approach to the simulation of time series of storms and weather ... on their frequency. Using the results of wind reanalysis for the Norwegian, Barents, and ... values. Based on the revealed regulari...

S. I. Mastryukov

2013-04-01T23:59:59.000Z

255

Time-Series Classification of High-Temporal Resolution AVHRR NDVI Imagery of Mexico  

E-Print Network (OSTI)

Time-series data from wide-field sensors, acquired for the period of a growing season or longer, capitalize on phenological changes in vegetation and make it possible to identify vegetated land cover types in greater ...

Egbert, Stephen L.; Ortega-Huerta, Miguel; Martí nez-Meyer, Enrique; Price, Kevin P.; Peterson, A. Townsend

2000-01-01T23:59:59.000Z

256

Resuspension: Decadal Monitoring Time Series of the Anthropogenic Radioactivity Deposition in Japan  

Science Journals Connector (OSTI)

......2003 research-article Regular Papers Resuspension: Decadal Monitoring Time Series of...deposited materials originate from resuspension processes (soil dust suspension processes...predicted by a model that disregarded resuspension. The specific activity of 90Sr (137Cs......

Yasuhito Igarashi; Michio Aoyama; Katsumi Hirose; Takashi Miyao; Kazuhiro Nemoto; Masatoshi Tomita; Takashi Fujikawa

2003-12-01T23:59:59.000Z

257

A Clustering Model for Mining Consumption Patterns from Imprecise Electric Load Time Series Data  

Science Journals Connector (OSTI)

This paper presents a novel clustering model for mining patterns from imprecise electric load time series. The model consists of three components. First, it contains a process that deals with representation an...

Qiudan Li; Stephen Shaoyi Liao; Dandan Li

2006-01-01T23:59:59.000Z

258

INCORPORATING NATURAL VARIATION INTO TIME SERIES-BASED LAND COVER CHANGE IDENTIFICATION  

E-Print Network (OSTI)

INCORPORATING NATURAL VARIATION INTO TIME SERIES-BASED LAND COVER CHANGE IDENTIFICATION VARUN in forests. The bulk of work in identifying land cover changes using remote sensing data involves image

Minnesota, University of

259

Biomedical time series analysis based on bag-of-words model.  

E-Print Network (OSTI)

??This research proposes a number of new methods for biomedical time series classification and clustering based on a novel Bag-of-Words (BoW) representation. It is anticipated… (more)

Wang, Jin

2013-01-01T23:59:59.000Z

260

iSAX: disk-aware mining and indexing of massive time series datasets  

E-Print Network (OSTI)

Aggregate Approximation (PAA) (Keogh et al. 2001a), Adaptiveconverted into a representation called PAA (Keogh et al.2001a). PAA represents a time series T of length n in a w-

Shieh, Jin; Keogh, Eamonn

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

The relation between Brazilian and Chicago Board of Trade soybean prices: a time series test  

E-Print Network (OSTI)

THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis BRUNO MELCHER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1991 Major Subject: Agricultural Economics THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis by BRUNO MELCHER Approved as to style and content by: ' f J David...

Melcher, Bruno

1991-01-01T23:59:59.000Z

262

Using high-frequency data and time series models to improve yield management  

Science Journals Connector (OSTI)

High-frequency (less than monthly) time series data provide valuable information for designing the adequate yield policy of the organisation. However, it is not easy to extract this information from raw data; although the evolution of the series is usually induced by stable patterns of behaviour of the economic agents, these patterns are so complex that simple smoothing techniques or subjective forecasting cannot consider all underlying factors. In this paper, we discuss time series models as a tool for carrying out a full and efficient analysis. The main ideas are illustrated with an application to Spanish daily electricity consumption.

Jose Ramon Cancelo; Antoni Espasa

2001-01-01T23:59:59.000Z

263

Van Giang Tran, Stphane Grieu and Monique Polit Time series and neural networks for short-  

E-Print Network (OSTI)

on integrating a forecast module based on the present work in a virtual power plant. Keywords. Short-time electric consumption, time series, Kohonen self- organizing map, multi-level perceptron, virtual power plant. 1. Introduction Managing energy demand, extending supply and production sources, developing

Paris-Sud XI, Université de

264

Characterizing system dynamics with a weighted and directed network constructed from time series data  

SciTech Connect

In this work, we propose a novel method to transform a time series into a weighted and directed network. For a given time series, we first generate a set of segments via a sliding window, and then use a doubly symbolic scheme to characterize every windowed segment by combining absolute amplitude information with an ordinal pattern characterization. Based on this construction, a network can be directly constructed from the given time series: segments corresponding to different symbol-pairs are mapped to network nodes and the temporal succession between nodes is represented by directed links. With this conversion, dynamics underlying the time series has been encoded into the network structure. We illustrate the potential of our networks with a well-studied dynamical model as a benchmark example. Results show that network measures for characterizing global properties can detect the dynamical transitions in the underlying system. Moreover, we employ a random walk algorithm to sample loops in our networks, and find that time series with different dynamics exhibits distinct cycle structure. That is, the relative prevalence of loops with different lengths can be used to identify the underlying dynamics.

Sun, Xiaoran, E-mail: sxr0806@gmail.com [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China) [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China); School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 (Australia); Small, Michael, E-mail: michael.small@uwa.edu.au [School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 (Australia)] [School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 (Australia); Zhao, Yi [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China)] [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China); Xue, Xiaoping [Department of Mathematics, Harbin Institute of Technology, Harbin 150025 (China)] [Department of Mathematics, Harbin Institute of Technology, Harbin 150025 (China)

2014-06-15T23:59:59.000Z

265

Time Series Evaluation of Radiation Portal Monitor Data for Point Source Detection  

SciTech Connect

The time series of data from a Radiation Portal Monitor (RPM) system are evaluated for the presence of point sources by isolating the contribution of anomalous radiation. Energy-windowed background spectra taken from the RPM are compared with the observed spectra at each time step during a vehicle drive-through. The total signal is turned into a spectral distance index using this method. This provides a time series with reduced systematic fluctuations due to background attenuation by the vehicle, and allows for point source detection by time-series analyses. The anomalous time series is reanalyzed by using a wavelet filter function of similar size to the expected source profile. A number of real drive-through data sets taken at a U.S. port of entry are analyzed in this way. A set of isotopes are injected into the data set, and the resultant benign and injected data sets are analyzed with gross-counting, spectral-ratio, and time-based algorithms. Spectral and time methods together offer a significant increase to detection performance.

Robinson, Sean M.; Bender, Sarah E.; Flumerfelt, Eric L.; Lopresti, Charles A.; Woodring, Mitchell L.

2009-12-08T23:59:59.000Z

266

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain,  

Open Energy Info (EERE)

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Details Activities (1) Areas (1) Regions (0) Abstract: CO2 and heat fluxes were measured over a six-week period (09/08/2006 to 10/24/2006) by the eddy covariance (EC) technique at the Horseshoe Lake tree kill (HLTK), Mammoth Mountain, CA, a site with complex terrain and high, spatially heterogeneous CO2 emission rates. EC CO2 fluxes ranged from 218 to 3500 g m- 2 d- 1 (mean = 1346 g m- 2 d- 1). Using footprint modeling, EC CO2 fluxes were compared to CO2 fluxes measured by

267

Usage of the Mori-Zwanzig method in time series analysis  

Science Journals Connector (OSTI)

The use of memory kernels stemming from a Mori-Zwanzig approach to time series analysis is discussed. We show that despite its success in determining properties from an analytical model, the kernel itself is not easily interpreted. We consider a recently introduced discretization of the kernel and show that its properties can be quite different from its continuous counterpart. We provide a rigorous analysis of the discrete case and show for several analytically calculated memory kernels of simple time series processes that their features are not readily detectable in the kernel. We show furthermore that practical relevant Mori-Zwanzig models with a finite kernel form a true subclass of the autoregressive moving average (ARMA) models. The fact that this approach already veils the properties of these simple time series gives rise to severe doubts about its applicability in more complex situations.

Markus Niemann; Thomas Laubrich; Eckehard Olbrich; Holger Kantz

2008-01-16T23:59:59.000Z

268

Intervention adjustment to data of the joint petroleum reporting system. [1976 to 1983 time series; USA  

SciTech Connect

This report deals specifically with changes made to the survey forms in January 1981 and the resulting changes to the data-time series. Naturally, when a series has changed at some time point, the data after the change are no longer comparable to those before. In many cases, though, comparisons are desired that use pre- and post-intervention data as a series. It is thus necessary to have a methodology for updating the older data so that such comparisons can be made validly. To produce this methodology, the particular intervention must be modeled. However, when attempting to analyze one particular intervention, other types of interventions must be considered also. If effects of the other interventions can be modeled, the overall variability of the series can be reduced and the intervention of interest can be better isolated. Thus, in the following, we discuss (in addition to the format modifications of the forms) the trends and changes noted in the JPRS since January 1976 to December 1982. The year 1976 was chosen since it corresponds to the first year for which microdata are computerized in a universal format in the JPRS master files. We discuss, in particular, changes to the data series for inventories of: (a) motor gasoline, (b) distillate oil, (c) residual fuel oil, and (d) crude oil. These are the series studied in detail in subsequent sections of this report.

Hall, D.L.; Gardenier, T.K.; Slavich, A.L.

1984-10-01T23:59:59.000Z

269

Physical Langevin model and the time-series model in systems far from equilibrium  

Science Journals Connector (OSTI)

To bridge the gap between a physical Langevin equation and a stochastic equation used in the time-series analysis, and to clarify the physical foundations of the latter, the time-series model from the Langevin equation is derived with the aid of two manipulations—elimination of irrelevant variables and projection of state variables upon a space spanned by observed quantities. The order of the two manipulations is shown to be important to find an equation called the Kalman filter in control theory. All the results are summarized in a concise schematic diagram which relates various models and equations established so far in different fields.

Kuniharu Kishida

1982-01-01T23:59:59.000Z

270

Correlation analysis for wind speed and failure rate of wind turbines using time series approach  

Science Journals Connector (OSTI)

The correlation between wind speed and failure rate (FR) of wind turbines is analyzed with time series approach. The time series of power index (PI) and FR of wind turbines are established based on historical data which are pretreated by singularity processing stationarity processing and wavelet de-noising. The trend variations of the time series are analyzed from both time domain and frequency domain by extracting the indicator functions including auto-correlation function cross-correlation function and spectral density function. A case study is given out to verify the validity of the model and the method which is based on the wind speed and failure data from January 1995 to December of 2002 in Nordjylland Denmark. Auto-correlation function and spectral density function show that time series of PI and FR have strong seasonal characteristics and quite similar periodicity while the cross-correlation function shows they keep high consistency and strong correlation. The results indicate that by calculating and monitoring PI the failure rule of wind turbines can be forecast which provides theoretical basis for preventive maintenance of wind turbines.

Chun Su; Quan Jin; Yequn Fu

2012-01-01T23:59:59.000Z

271

Nonlinear analysis of time series of vibration data from a friction brake: SSA, PCA, and MFDFA  

E-Print Network (OSTI)

We use the methodology of singular spectrum analysis (SSA), principal component analysis (PCA), and multi-fractal detrended fluctuation analysis (MFDFA), for investigating characteristics of vibration time series data from a friction brake. SSA and PCA are used to study the long time-scale characteristics of the time series. MFDFA is applied for investigating all time scales up to the smallest recorded one. It turns out that the majority of the long time-scale dynamics, that is presumably dominated by the structural dynamics of the brake system, is dominated by very few active dimensions only and can well be understood in terms of low dimensional chaotic attractors. The multi-fractal analysis shows that the fast dynamical processes originating in the friction interface are in turn truly multi-scale in nature.

Nikolay K. Vitanov; Norbert P. Hoffmann; Boris Wernitz

2014-10-23T23:59:59.000Z

272

Moored instrument for time series studies of primary production and other microbial rate processes  

SciTech Connect

The goal of this project is to build and test a Time Series Submersible Incubation Device (TS-SID) capable of the autonomous in situ measurement of phytoplankton production and other rate processes for a period of up at least three months. The instrument is conceptually based on a recently constructed Submersible Incubation Device (SID). The TS-SID is to possess the ability to periodically incubate samples in the presence of an appropriate tracer, and to store 94 chemically fixed subsamples for later analysis. The TS-SID has been designed to accurately simulate the natural environment, and to avoid trace metal contamination and physical damage to cells. Devices for biofouling control of internal and external surfaces are to be incorporated into the instrument. After the time series capabilities of the instrument have been successfully evaluated by medium-term coastal time series studies (up to one month), longer-term coastal time series studies (2-3 months) will be conducted to evaluate the biofouling prevention measures that have been used with the instrument.

Taylor, C.D.; Doherty, K.W.

1993-01-20T23:59:59.000Z

273

Moored instrument for time series studies of primary production and other microbial rate processes. Progress report  

SciTech Connect

The goal of this project is to build and test a Time Series Submersible Incubation Device (TS-SID) capable of the autonomous in situ measurement of phytoplankton production and other rate processes for a period of up at least three months. The instrument is conceptually based on a recently constructed Submersible Incubation Device (SID). The TS-SID is to possess the ability to periodically incubate samples in the presence of an appropriate tracer, and to store 94 chemically fixed subsamples for later analysis. The TS-SID has been designed to accurately simulate the natural environment, and to avoid trace metal contamination and physical damage to cells. Devices for biofouling control of internal and external surfaces are to be incorporated into the instrument. After the time series capabilities of the instrument have been successfully evaluated by medium-term coastal time series studies (up to one month), longer-term coastal time series studies (2-3 months) will be conducted to evaluate the biofouling prevention measures that have been used with the instrument.

Taylor, C.D.; Doherty, K.W.

1993-01-20T23:59:59.000Z

274

Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems Arslan Basharat+  

E-Print Network (OSTI)

Inc. Clifton Park, NY, USA arslan.basharat@kitware.com Mubarak Shah+ + University of Central Florida Orlando, FL, USA shah@cs.ucf.edu Abstract We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic be- havior. Observed time series from such a system can be em

Central Florida, University of

275

DGRC AskCal: Natural Language Question Answering for Energy Time Series  

E-Print Network (OSTI)

DGRC AskCal: Natural Language Question Answering for Energy Time Series Andrew Philpot, Jose Luis Ambite, Eduard Hovy Digital Government Research Center USC/Information Sciences Institute 4676 Admiralty Way Marina del Rey, CA 90292-6695 {philpot,ambite,hovy}@isi.edu Abstract Even quite sophisticated

Ambite, José Luis

276

Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction  

Science Journals Connector (OSTI)

Ensembles have been shown to provide better generalization performance than single models. However, the creation, selection and combination of individual predictors is critical to the success of an ensemble, as each individual model needs to be both ... Keywords: Ensembles, Hybrid multi-objective evolutionary algorithms, Recurrent neural networks, Selection, Time series prediction

Christopher Smith, Yaochu Jin

2014-11-01T23:59:59.000Z

277

Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay  

E-Print Network (OSTI)

Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay and verification. These measurements will be made as part of this project. Measurements of sediment resuspension sediment resuspension in the bay during the spring. Measurements of sediment resuspension are important

278

How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and  

E-Print Network (OSTI)

, Aline Jaimes, Craig Tweedie, and Vladik Kreinovich Abstract Time series comes from measurements, and measurements are never abso- lutely accurate. Traditionally, when we deal with an individual measurement or with a sample of measurement results, we subdivide a measurement error into random and systematic components

Ward, Karen

279

Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data  

E-Print Network (OSTI)

Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data Jin Yu, Jim Hunter, Ehud analogue channels are sampled once per second and archived by the Tiger system for monitoring gas turbines that it is very important to identify such patterns in any attempt at summarisation. In the gas turbine domain

Reiter, Ehud

280

DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES Simon Hoell, Piotr Omenzetter  

E-Print Network (OSTI)

DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES METHODS Simon Hoell, Piotr Omenzetter, the consequences are growing sizes of wind turbines (WTs) and erections in remote places, such as off in the past years, thus efficient energy harvesting becomes more important. For the sector of wind energy

Boyer, Edmond

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Time-series comparisons of MIPAS Level 2 products with climatology  

E-Print Network (OSTI)

Time-series comparisons of MIPAS Level 2 products with climatology V. Payne, A. Dudhia, C. Piccolo) for the calculation of the means. Here we compare these monthly means with reference climatologies for each that MIPAS has been operating. The reference climatologies used in these comparisons are the COSPAR Reference

Oxford, University of

282

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic  

E-Print Network (OSTI)

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box the predictability of electricity price under new market regulations and the engineering aspects of large scale of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectiveness

Obradovic, Zoran

283

End-to-end aggregate authentication of time-series data  

Science Journals Connector (OSTI)

We consider the problem of providing integrity of aggregate result in the presence of an untrusted data aggregator who may introduce errors into data fusion, causing the final aggregate result to far deviate from the true result determined by participating ... Keywords: aggregate authentication, computation over authenticated data, time-series

Di Ma; Yan Zhu; Mengyang Yu

2013-05-01T23:59:59.000Z

284

The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset  

E-Print Network (OSTI)

Page 1 The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset 2 Authors 2 Key points1 Development of a satellite based 30 year rainfall dataset for Africa2 The dataset has been designed to be temporally consistency3 The dataset skilfully captures interannual

Allan, Richard P.

285

Analysis of Brain States from Multi-Region LFP Time-Series  

E-Print Network (OSTI)

Analysis of Brain States from Multi-Region LFP Time-Series Kyle Ulrich 1 , David E. Carlson 1 field potential (LFP) is a source of information about the broad patterns of brain activity. It is believed that these regions may jointly constitute a "brain state," relating to cognition and behavior

Carin, Lawrence

286

Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa  

E-Print Network (OSTI)

Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa K. F MODIS variables are produced from the same algorithm. Solar zenith angle effects, differences between counts versus energy) were examined and rejected as explanations for the discrepancies between MODIS

Myneni, Ranga B.

287

Indexing of Time Series by Major Minima and Maxima Eugene Fink  

E-Print Network (OSTI)

sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob- tained. Indexing: The indexing of a time-series database is based on the notion of major inclines, illustrated

Fink, Eugene

288

Indexing of Time Series by Major Minima and Maxima Eugene Fink  

E-Print Network (OSTI)

sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob­ tained. Indexing: The indexing of a time­series database is based on the notion of major inclines, illustrated

Fink, Eugene

289

Geographia Polonica, 25 (1973), 103-106 REGIONAL ANALYSIS: TIME SERIES EXTENDED TO TWO DIMENSIONS  

E-Print Network (OSTI)

transmission studies. Norbert Wiener was able to combine these two sources and the hybrid has shown to be following these lines. In the first instance consider a geographical distribution to be completely static cited resulted in one observation every mile of the 2900 mile long route. In time series it is usually

Tobler, Waldo

290

Generating English Summaries of Time Series Data Using the Gricean Maxims  

E-Print Network (OSTI)

, gas-turbine sensor readings, and hospital intensive care data. Our weather-forecast generator, Scotland, U.K. +44 (0) 1224 272295 {ssripada,ereiter,jhunter,jyu}@csd.abdn.ac.uk ABSTRACT We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts

Sripada, Yaji

291

Scalable time series change detection for biomass monitoring using gaussian process  

SciTech Connect

Biomass monitoring, specifically detecting changes in the biomass or vegetation of a geographical region, is vital for studying the carbon cycle of the system and has significant implications in the context of understanding climate change and its impacts. Recently, several time series change detection methods have been proposed to identify land cover changes in temporal profiles (time series) of vegetation collected using remote sensing instruments. In this paper, we adapt Gaussian process regression to detect changes in such time series in an online fashion. While Gaussian process (GP) has been widely used as a kernel based learning method for regression and classification, their applicability to massive spatio-temporal data sets, such as remote sensing data, has been limited owing to the high computational costs involved. In this paper we address the scalability aspect of GP based time series change detection. Specifically, we exploit the special structure of the covariance matrix generated for GP analysis to come up with methods that can efficiently estimate the hyper-parameters associated with GP as well as identify changes in the time series while requiring a memory footprint which is linear in the size of input data, as compared to traditional method which involves solving a linear system of equations for the Choleksy decomposition of the quadratic sized covariance matrix. Experimental results show that our proposed method achieves significant speedups, as high as 1000, when processing long time series, while maintaining a small memory footprint. To further improve the computational complexity of the proposed method, we provide a parallel version which can concurrently process multiple input time series using the same set of hyper-parameters. The parallel version exploits the natural parallelization potential of the serial algorithm and is shown to perform significantly better than the serial version, with speedups as high as 10. Finally, we demonstrate the effectiveness of the proposed change detection method in identifying changes in Normalized Difference Vegetation Index (NDVI) data. Moreover, we show that the scalable solution is able to process NDVI data for the entire Iowa region significantly faster than the standard method.

Chandola, Varun [ORNL; Vatsavai, Raju [ORNL

2010-01-01T23:59:59.000Z

292

MEPSA: a flexible peak search algorithm designed for uniformly spaced time series  

E-Print Network (OSTI)

We present a novel algorithm aimed at identifying peaks within a uniformly sampled time series affected by uncorrelated Gaussian noise. The algorithm, called "MEPSA" (multiple excess peak search algorithm), essentially scans the time series at different timescales by comparing a given peak candidate with a variable number of adjacent bins. While this has originally been conceived for the analysis of gamma-ray burst light (GRB) curves, its usage can be readily extended to other astrophysical transient phenomena, whose activity is recorded through different surveys. We tested and validated it through simulated featureless profiles as well as simulated GRB time profiles. We showcase the algorithm's potential by comparing with the popular algorithm by Li and Fenimore, that is frequently adopted in the literature. Thanks to its high flexibility, the mask of excess patterns used by MEPSA can be tailored and optimised to the kind of data to be analysed without modifying the code. The C code is made publicly availabl...

Guidorzi, C

2015-01-01T23:59:59.000Z

293

Simplicial Multivalued Maps and the Witness Complex for Dynamical Analysis of Time Series  

E-Print Network (OSTI)

Topology based analysis of time-series data from dynamical systems is powerful: it potentially allows for computer-based proofs of the existence of various classes of regular and chaotic invariant sets for high-dimensional dynamics. Standard methods are based on a cubical discretization of the dynamics, and use the time series to construct an outer approximation of the underlying dynamical system. The resulting multivalued map can be used to compute the Conley index of isolated invariant sets of cubes. In this paper we introduce a discretization that uses---by contrast---a simplicial complex constructed from a witness-landmark relationship. The goal is to obtain a natural discretization that is more tightly connected with the invariant density of the time series itself. The time-ordering of the data also directly leads to a map on this simplicial complex that we call the witness map. We obtain conditions under which this witness map gives an outer approximation of the dynamics, and thus can be used to compute the Conley index of isolated invariant sets. The method is illustrated by a simple example using data from the classical H\\'enon map.

Zachary Alexander; Elizabeth Bradley; James D. Meiss; Nicole Sanderson

2014-06-09T23:59:59.000Z

294

Time series analysis of AERI radiances for GCM testing and improvement  

NLE Websites -- All DOE Office Websites (Extended Search)

Time series analysis of AERI radiances for GCM testing and improvement Time series analysis of AERI radiances for GCM testing and improvement Dykema, John Harvard University Leroy, Stephen Harvard University Anderson, James Harvard University Tobin, David University of Wisconsin-Madison Knuteson, Robert University Of Wisconsin Revercomb, Henry University of Wisconsin-Madison Category: Radiation High resolution infrared radiances measured by the Atmospheric Emitted Radiance Interferometer (AERI) contained detailed information about the structure and dynamics of temperature, water vapor, and clouds below 3 km. Infrared radiances also contain the signature of radiative forcing by well-mixed gases that constitutes the greenhouse effect. Direct comparison of these radiance observations to similar radiances calculated from output

295

Monthly sunspot number time series analysis and its modeling through autoregressive artificial neural network  

E-Print Network (OSTI)

This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).

Goutami Chattopadhyay; Surajit Chattopadhyay

2012-04-18T23:59:59.000Z

296

Automated preparation of Kepler time series of planet hosts for asteroseismic analysis  

E-Print Network (OSTI)

One of the tasks of the Kepler Asteroseismic Science Operations Center (KASOC) is to provide asteroseismic analyses on Kepler Objects of Interest (KOIs). However, asteroseismic analysis of planetary host stars presents some unique complications with respect to data preprocessing, compared to pure asteroseismic targets. If not accounted for, the presence of planetary transits in the photometric time series often greatly complicates or even hinders these asteroseismic analyses. This drives the need for specialised methods of preprocessing data to make them suitable for asteroseismic analysis. In this paper we present the KASOC Filter, which is used to automatically prepare data from the Kepler/K2 mission for asteroseismic analyses of solar-like planet host stars. The methods are very effective at removing unwanted signals of both instrumental and planetary origins and produce significantly cleaner photometric time series than the original data. The methods are automated and can therefore easily be applied to a ...

Handberg, R

2014-01-01T23:59:59.000Z

297

Bayesian forecasting of demand time-series data with zero values  

Science Journals Connector (OSTI)

This paper describes the development of a Bayesian procedure to analyse and forecast positive demand time-series data with a proportion of zero values and a high level of variability for the non-zero data. The resulting forecasts play decisive roles in organisational planning, budgeting, and performance monitoring. Exponential smoothing methods are widely used as forecasting techniques in industry and business. However, they can be unsuitable for the analysis of non-negative demand time-series data with the aforementioned features. In this paper, an unconstrained latent demand underlying the observed demand is introduced into the linear heteroscedastic model associated with the Holt-Winters model. Accurate forecasts for the observed demand can readily be derived from those obtained with exponential smoothing for the latent demand. The performance of the proposed procedure is illustrated using a simulation study and two real time-series datasets which correspond to tourism demand and book sales. [Received 4 November 2010; Revised 7 September 2011, 10 April 2012; Accepted 10 May 2012

Ana Corberán-Vallet; José D. Bermúdez; Enriqueta Vercher

2013-01-01T23:59:59.000Z

298

DOE/SC-ARM/TR-112 Changes to MFRSRCLDOD1MIN Datastream S McFarlane  

NLE Websites -- All DOE Office Websites (Extended Search)

2 2 Changes to MFRSRCLDOD1MIN Datastream S McFarlane Y Shi May 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

299

Power spectra of fossil biodiversity time series: a connection with Galactic dynamics?  

E-Print Network (OSTI)

Systematic error is a major issue in the quantitative analysis of fossil biodiversity data in paleontology. I present results of time series analysis of a new and expanded data set (the Paleobiology Database) controlled and corrected for systematic error, and find that periodicities at approximately 62 and 150 Myr reported from previous data emerge at higher significance than before. This provides increased confidence that the periodicities are not collection, sampling, or binning artifacts. Both of these timescales are interestingly close to dynamical timescales of Solar motion in the Milky Way galaxy.

Melott, Adrian L

2008-01-01T23:59:59.000Z

300

MODIS NDVI time-series allow the monitoring of Eucalyptus plantation biomass  

Science Journals Connector (OSTI)

The use of remote sensing is necessary for monitoring forest carbon stocks at large scales. Optical remote sensing, although not the most suitable technique for the direct estimation of stand biomass, offers the advantage of providing large temporal and spatial datasets. In particular, information on canopy structure is encompassed in stand reflectance time series. This study focused on the example of Eucalyptus forest plantations, which have recently attracted much attention as a result of their high expansion rate in many tropical countries. Stand scale time-series of Normalized Difference Vegetation Index (NDVI) were obtained from MODIS satellite data after a procedure involving un-mixing and interpolation, on about 15,000 ha of plantations in southern Brazil. The comparison of the planting date of the current rotation (and therefore the age of the stands) estimated from these time series with real values provided by the company showed that the root mean square error was 35.5 days. Age alone explained more than 82% of stand wood volume variability and 87% of stand dominant height variability. Age variables were combined with other variables derived from the NDVI time series and simple bioclimatic data by means of linear (Stepwise) or nonlinear (Random Forest) regressions. The nonlinear regressions gave r-square values of 0.90 for volume and 0.92 for dominant height, and an accuracy of about 25 m3/ha for volume (15% of the volume average value) and about 1.6 m for dominant height (8% of the height average value). The improvement including NDVI and bioclimatic data comes from the fact that the cumulative NDVI since planting date integrates the interannual variability of leaf area index (LAI), light interception by the foliage and growth due for example to variations of seasonal water stress. The accuracy of biomass and height predictions was strongly improved by using the NDVI integrated over the two first years after planting, which are critical for stand establishment. These results open perspectives for cost-effective monitoring of biomass at large scales in intensively-managed plantation forests.

Guerric le Maire; Claire Marsden; Yann Nouvellon; Clovis Grinand; Rodrigo Hakamada; José-Luiz Stape; Jean-Paul Laclau

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Use of Long Time-series ACRF Measurements to Improve Data Quality Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

2, 2008 2, 2008 Eighteenth ARM Science Team Meeting 1 Use of Long Time-Series ACRF Measurements to Improve Data Quality Analysis Sean Moore Mission Research and Technical Services Santa Barbara, CA ARM Data Quality Office University of Oklahoma Norman, OK March 12, 2008 Eighteenth ARM Science Team Meeting 2 ARM Data Quality Office Full Time Staff *Ken Kehoe *Randy Peppler *Karen Sonntag *Justin Monroe Student Analysts *Nathan Hiers (Sr) *Stephen Mullens (Sr) *Kimberly Rabon (Jr) *Lacey Evans (Jr) ARM Data Quality Office, National Weather Center The University of Oklahoma, Norman, OK Sean Moore Mission Research and Technical Services Santa Barbara, CA March 12, 2008 Eighteenth ARM Science Team Meeting 3 Daily Quality Checks * Automated software checks every measurement for outliers against some pre-defined limits.

302

A Software Tool for Processing the Displacement Time Series Extracted from Raw Radar Data  

SciTech Connect

The application of high-resolution radar waveform and interferometric principles recently led to the development of a microwave interferometer, suitable to simultaneously measuring the (static or dynamic) deflection of several points on a large structure. From the technical standpoint, the sensor is a Stepped Frequency Continuous Wave (SF-CW), coherent radar, operating in the K{sub u} frequency band.In the paper, the main procedures adopted to extract the deflection time series from raw radar data and to assess the quality of data are addressed, and the MATLAB toolbox developed is described. Subsequently, other functions implemented in the software tool (e.g. evaluation of the spectral matrix of the deflection time-histories, identification of natural frequencies and operational mode shapes evaluation) are described and the application to data recorded on full-scale bridges is exemplified.

Coppi, Francesco; Paolo Ricci, Pier [IDS Ingegneria Dei Sistemi S.p.A., Pisa (Italy); Gentile, Carmelo [Politecnico di Milano, Dept. of Structural Engineering, Milan (Italy)

2010-05-28T23:59:59.000Z

303

Shock timing on the National Ignition Facility: the first precision tuning series  

SciTech Connect

Ignition implosions on the National Ignition Facility (NIF) [Lindl et al., Phys. Plasmas 11, 339 (2004)] are driven with a very carefully tailored sequence of four shock waves that must be timed to very high precision in order to keep the fuel on a low adiabat. The first series of precision tuning experiments on NIF have been performed. These experiments use optical diagnostics to directly measure the strength and timing of all four shocks inside the hohlraum-driven, cryogenic deuterium-filled capsule interior. The results of these experiments are presented demonstrating a significant decrease in the fuel adiabat over previously un-tuned implosions. The impact of the improved adiabat on fuel compression is confirmed in related deuterium-tritium (DT) layered capsule implosions by measurement of fuel areal density (rR), which show the highest fuel compression (rR {approx} 1.0 g/cm{sup 2}) measured to date.

Robey, H F; Celliers, P M; Kline, J L; Mackinnon, A J

2011-10-27T23:59:59.000Z

304

Glacier mass balance determination by Remote Sensing in the French Alps: Progress and limitation for time series monitoring  

E-Print Network (OSTI)

is the activity coefficient (db/dz) for the annual mass balance calculation. Comparison between measured velocity, mass balance calculation from area outline of exposed ice and ELA time series. The output

Rabatel, Antoine

305

Precursory signatures of protein folding/unfolding: From time series correlation analysis to atomistic mechanisms  

SciTech Connect

Folded conformations of proteins in thermodynamically stable states have long lifetimes. Before it folds into a stable conformation, or after unfolding from a stable conformation, the protein will generally stray from one random conformation to another leading thus to rapid fluctuations. Brief structural changes therefore occur before folding and unfolding events. These short-lived movements are easily overlooked in studies of folding/unfolding for they represent momentary excursions of the protein to explore conformations in the neighborhood of the stable conformation. The present study looks for precursory signatures of protein folding/unfolding within these rapid fluctuations through a combination of three techniques: (1) ultrafast shape recognition, (2) time series segmentation, and (3) time series correlation analysis. The first procedure measures the differences between statistical distance distributions of atoms in different conformations by calculating shape similarity indices from molecular dynamics simulation trajectories. The second procedure is used to discover the times at which the protein makes transitions from one conformation to another. Finally, we employ the third technique to exploit spatial fingerprints of the stable conformations; this procedure is to map out the sequences of changes preceding the actual folding and unfolding events, since strongly correlated atoms in different conformations are different due to bond and steric constraints. The aforementioned high-frequency fluctuations are therefore characterized by distinct correlational and structural changes that are associated with rate-limiting precursors that translate into brief segments. Guided by these technical procedures, we choose a model system, a fragment of the protein transthyretin, for identifying in this system not only the precursory signatures of transitions associated with ? helix and ? hairpin, but also the important role played by weaker correlations in such protein folding dynamics.

Hsu, P. J.; Lai, S. K., E-mail: sklai@coll.phy.ncu.edu.tw [Complex Liquids Laboratory, Department of Physics, National Central University, Chungli 320 Taiwan (China); Molecular Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan (China); Cheong, S. A. [Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371 (Singapore)

2014-05-28T23:59:59.000Z

306

Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing  

Science Journals Connector (OSTI)

This paper concerns the forecasting of seasonal intraday time series that exhibit repeating intraweek and intraday cycles. A recently proposed exponential smoothing method involves smoothing a different intraday cycle for each distinct type of day of the week. Similar days are allocated identical intraday cycles. A limitation is that the method allows only whole days to be treated as identical. We introduce a new exponential smoothing formulation that allows parts of different days of the week to be treated as identical. The result is a method that involves the smoothing and initialisation of fewer terms. We evaluate forecasting up to a day ahead using two empirical studies. For electricity load data, the new method compares well with a range of alternatives. The second study involves a series of arrivals at a call centre that is open for a shorter duration at the weekends than on weekdays. Among the variety of methods considered, the new method is the only one that can model in a satisfactory way in this situation, where the number of periods on each day of the week is not the same.

James W. Taylor; Ralph D. Snyder

2012-01-01T23:59:59.000Z

307

Studying complex tourism systems: a novel approach based on networks derived from a time series  

E-Print Network (OSTI)

A tourism destination is a complex dynamic system. As such it requires specific methods and tools to be analyzed and understood in order to better tailor governance and policy measures for steering the destination along an evolutionary growth path. Many proposals have been put forward for the investigation of complex systems and some have been successfully applied to tourism destinations. This paper uses a recent suggestion, that of transforming a time series into a network and analyzes it with the objective of uncovering the structural and dynamic features of a tourism destination. The algorithm, called visibility graph, is simple and its implementation straightforward, yet it is able to provide a number of interesting insights. An example is worked out using data from two destinations: Italy as a country and the island of Elba, one of its most known areas.

Baggio, Rodolfo

2013-01-01T23:59:59.000Z

308

Univariate time-series forecasting of monthly peak demand of electricity in northern India  

Science Journals Connector (OSTI)

This study forecasts the monthly peak demand of electricity in the northern region of India using univariate time-series techniques namely Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) and Holt-Winters Multiplicative Exponential Smoothing (ES) for seasonally unadjusted monthly data spanning from April 2000 to February 2007. In-sample forecasting reveals that the MSARIMA model outperforms the ES model in terms of lower root mean square error, mean absolute error and mean absolute percent error criteria. It has been found that ARIMA (2, 0, 0) (0, 1, 1)12 is the best fitted model to explain the monthly peak demand of electricity, which has been used to forecast the monthly peak demand of electricity in northern India, 15 months ahead from February 2007. This will help Northern Regional Load Dispatch Centre to make necessary arrangements a priori to meet the future peak demand.

Sajal Ghosh

2008-01-01T23:59:59.000Z

309

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting  

Science Journals Connector (OSTI)

Abstract A new hybrid model for forecasting the electric power load several months ahead is proposed. To allow for distinct responses from individual load sectors, this hybrid model, which combines dynamic (i.e., air temperature dependency of power load) and fuzzy time series approaches, is applied separately to the household, public, service, and industrial sectors. The hybrid model is tested using actual load data from the Seoul metropolitan area, and its predictions are compared with those from two typical dynamic models. Our investigation shows that, in the case of four-month forecasting, the proposed model gives the actual monthly power load of every sector with only less than 3% absolute error and satisfactory reduction of forecasting errors compared to other models from previous studies.

Woo-Joo Lee; Jinkyu Hong

2015-01-01T23:59:59.000Z

310

Forecasting of preprocessed daily solar radiation time series using neural networks  

SciTech Connect

In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)

Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)

2010-12-15T23:59:59.000Z

311

SOLAR CYCLE VARIABILITY AND SURFACE DIFFERENTIAL ROTATION FROM Ca II K-LINE TIME SERIES DATA  

SciTech Connect

Analysis of over 36 yr of time series data from the NSO/AFRL/Sac Peak K-line monitoring program elucidates 5 components of the variation of the 7 measured chromospheric parameters: (a) the solar cycle (period {approx} 11 yr), (b) quasi-periodic variations (periods {approx} 100 days), (c) a broadband stochastic process (wide range of periods), (d) rotational modulation, and (e) random observational errors, independent of (a)-(d). Correlation and power spectrum analyses elucidate periodic and aperiodic variation of these parameters. Time-frequency analysis illuminates periodic and quasi-periodic signals, details of frequency modulation due to differential rotation, and in particular elucidates the rather complex harmonic structure (a) and (b) at timescales in the range {approx}0.1-10 yr. These results using only full-disk data suggest that similar analyses will be useful for detecting and characterizing differential rotation in stars from stellar light curves such as those being produced by NASA's Kepler observatory. Component (c) consists of variations over a range of timescales, in the manner of a 1/f random process with a power-law slope index that varies in a systematic way. A time-dependent Wilson-Bappu effect appears to be present in the solar cycle variations (a), but not in the more rapid variations of the stochastic process (c). Component (d) characterizes differential rotation of the active regions. Component (e) is of course not characteristic of solar variability, but the fact that the observational errors are quite small greatly facilitates the analysis of the other components. The data analyzed in this paper can be found at the National Solar Observatory Web site http://nsosp.nso.edu/cak{sub m}on/, or by file transfer protocol at ftp://ftp.nso.edu/idl/cak.parameters.

Scargle, Jeffrey D.; Worden, Simon P. [NASA Ames Research Center, Moffett Field, CA, 94035 (United States); Keil, Stephen L. [National Solar Observatory, P.O. Box 57, Sunspot, NM 88349 (United States)

2013-07-01T23:59:59.000Z

312

ARM - Facility News Article  

NLE Websites -- All DOE Office Websites (Extended Search)

History Tool Records Changes to Datastreams History Tool Records Changes to Datastreams Bookmark and Share As the name implies, a "datastream" is a continuous record of a specific type of data that is collected and saved in a time series. Occasionally, modifications are needed to update or correct a datastream. Knowing the history of changes to a datastream is a critical issue for ARM data users. Recognizing this need, the ARM Data Management Facility (DMF) created a tool to record the history of every datastream for every instrument from every ARM site since the beginning of the ARM Program. The History of Datastream tool looks for changes to the data object design (DOD) files weekly and creates a history link for DODs that have changed. By selecting "history," users will have access to the old DOD file and a file outlining the differences.

313

IGR For GR/M76881/01: Generating Summaries of Time-Series Data (SumTime) Background/Context  

E-Print Network (OSTI)

of numerical time-series data. The modern world is being flooded with such data. For example, a typical gas-turbine summaries of data currently must be written by people. The goal of SumTime was to develop technology worked in three domains: weather forecasts, summaries of gas-turbine sensor data, and summaries of sensor

Sripada, Yaji

314

Development of periodic response factors for use with the radiant time series method  

SciTech Connect

Harris and McQuiston (1988) developed conduction transfer function (CTF) coefficients corresponding to 41 representative wall assemblies and 42 representative roof assemblies for use with the transfer function method (TFM). They also developed a grouping procedure that allows design engineers to determine the correct representative wall or roof assembly that most closely matches a specific wall or roof assembly. The CTF coefficients and the grouping procedure have been summarized in the ASHRAE Handbook--Fundamentals (1989, 1993, 1997) and the ASHRAE Cooling and Heating Load Calculation Manual, second edition. More recently, a new, simplified design cooling load calculation procedure, the radiant time series method (RTSM), has been developed. The RTSM uses periodic response factors to model transient conductive heat transfer. While not a true manual load calculation procedure, it is quite feasible to implement the RTSM in a spreadsheet. To be useful in such an environment, it would be desirable to have a pre-calculated set of periodic response factors. Accordingly, a set of periodic response factors has been calculated and is presented in this paper.

Spitler, J.D.; Fisher, D.E.

1999-07-01T23:59:59.000Z

315

A quasi-diagonal approach to the estimation of Lyapunov spectra for spatio-temporal systems from multivariate time series  

E-Print Network (OSTI)

We describe methods of estimating the entire Lyapunov spectrum of a spatially extended system from multivariate time-series observations. Provided that the coupling in the system is short range, the Jacobian has a banded structure and can be estimated using spatially localised reconstructions in low embedding dimensions. This circumvents the ``curse of dimensionality'' that prevents the accurate reconstruction of high-dimensional dynamics from observed time series. The technique is illustrated using coupled map lattices as prototype models for spatio-temporal chaos and is found to work even when the coupling is not strictly local but only exponentially decaying.

R. Carretero-González; S. Ørstavik; J. Stark

2000-04-06T23:59:59.000Z

316

Reconstructing long time series of burned areas in arid grasslands of southern Russia by satellite remote sensing  

E-Print Network (OSTI)

Reconstructing long time series of burned areas in arid grasslands of southern Russia by satellite of Sciences, 33 Leninskiy prospect, Moscow, 119071 Russia a b s t r a c ta r t i c l e i n f o Article history: AVHRR MODIS RESURS Landsat Burned area mapping Southern Russia Arid grasslands Grazing Fire

Radeloff, Volker C.

317

Comparing modern and Pleistocene ENSO-like influences in NW Argentina using nonlinear time series analysis methods  

E-Print Network (OSTI)

Comparing modern and Pleistocene ENSO-like influences in NW Argentina using nonlinear time series of 106 m3 occurred in the arid to semiarid intra-Andean basins of northwest- ern Argentina (Strecker Argentina are not well known for the period at around 30,000 14 C years ago. Marine and terrestrial records

Vuille, Mathias

318

Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting  

Science Journals Connector (OSTI)

......optimum value through a grid-search algorithm...method outperformed TD for estimating the aggregate data series...variable, there is no benefit of forecasting each subaggregate...forecasting strategies in estimating the `component'-level...WILLEMAIN, T. R., SMART, C. N., SHOCKOR......

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

319

Detectability of deterministic non-linear processes in Earth rotation time-series—I. Embedding  

Science Journals Connector (OSTI)

......of independent arguments can help to decide about the stochastic or deterministic nature of the data source. We have to pro-ceed with caution when dealing with empirical data as the corresponding series is finite in length, sampled at a finite rate, contaminated......

V. Frede; P. Mazzega

1999-05-01T23:59:59.000Z

320

WBI Ceilometer/MLH andWBI Ceilometer/MLH and CO2 Time Series  

E-Print Network (OSTI)

99 m 420 460 mole/mole 99 m 379 m 340 380 CO2um Time where tower levels 1&2 become well mixed Time/mole 99 m 379 m 340 380 CO2um Time where tower levels 1&2 become well mixed Time where tower levels 1 379 m 340 380 CO2um Time where tower levels 1&2 become well mixed Time where tower levels 1-3 become

Stanier, Charlie

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Devils staircase like behavior of the range of random time series associated with the tangled nature of evolution  

E-Print Network (OSTI)

We present empirical evidence that the range of random time series associated with the tangled nature model of evolution exhibits a devils staircase like behavior characterized by logarithmic trend and the universal multi-affine spectrum of scaling exponents xi_c of q leq q_c moments of q-order height-height correlations, whereas for q > q_c the moments behaves logarithmically.

Balankin, A S; Balankin, Alexander S.

2005-01-01T23:59:59.000Z

322

Abstract--In this study, we analyzed a dataset of time-series vital-signs data collected by standard Propaq travel monitor  

E-Print Network (OSTI)

Abstract--In this study, we analyzed a dataset of time-series vital-signs data collected, USAMRMC, Frederick, MD 21702, and with the Nuclear Engineering Department of the University of Tennessee and diagnostic decision-aid methods, we reviewed a dataset of time-series vital-signs data measured by a standard

323

A Time Series Analysis of Food Price and Its Input Prices  

E-Print Network (OSTI)

....................................... 27 4.5 Residual Correlation Matrix of the VECM ................................................ 28 4.6 Decomposition of Forecast Error Variance for Each of Eight Series ........ 40 1 CHAPTER I INTRODUCTION Global food prices have....94 0.50 2.96 4.90 .13 Gasoline 0.79 0.34 0.12 1.41 .43 Corn 1.06 0.43 0.40 1.99 .41 Food CPI 5.28 0.10 5.12 5.45 .02 Ethanol 0.59 0.29 -0.06 1.29 .49 Food PPI 5.03 0.13 4.84 5.28 .03 Fuel PPI 4.98 0.29 4.41 5.59 .06 Dollar Index 4.70 0.09 4.55 4...

Routh, Kari 1988-

2012-11-27T23:59:59.000Z

324

Approximately optimum confidence bounds on series system reliability for exponential time to failure data  

Science Journals Connector (OSTI)

......exponential time to failure data NANCY R. MANN FRANK E. GRUBBS Rocketdyne, North American Rockwell Corporation U.S. Army Aberdeen...reliability for exponential time to failure data BY NANCY R. MANN Rocketdyne, North American Rockwell Corporation AND FRANK E. GRUBBS......

NANCY R. MANN; FRANK E. GRUBBS

1972-04-01T23:59:59.000Z

325

Non-homogeneous hidden Markov-switching models for wind time series  

E-Print Network (OSTI)

of wind direction in [27]. However HMMs assume that the successive observations are conditionally conditions at successive time steps for the dataset considered in this work. Markov-Switching Auto

Brest, Université de

326

Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling  

E-Print Network (OSTI)

Comparative application of artificial neural networks and genetic algorithms for multivariate time of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms-a, Microcystis, short-term prediction, artificial neural network model, genetic algorithm model, rule sets

Fernandez, Thomas

327

Time series study of urban rainfall suppression during clean-up periods  

E-Print Network (OSTI)

and relatively clean sites through the time range before and during their clean-up periods to see how the air quality may affect the precipitation amount. By comparing the annual precipitation amount between two polluted sites with different elevations we...

Geng, Jun

2008-10-10T23:59:59.000Z

328

Time series study of urban rainfall suppression during clean-up periods  

E-Print Network (OSTI)

and relatively clean sites through the time range before and during their clean-up periods to see how the air quality may affect the precipitation amount. By comparing the annual precipitation amount between two polluted sites with different elevations we...

Geng, Jun

2009-05-15T23:59:59.000Z

329

A measurement error model for time-series studies of air pollution and mortality  

Science Journals Connector (OSTI)

......time indoors, 7 .2% in or near vehicles, and only 5 .6% outdoors. Consequently...rather than individual, data in an ecological analysis like ours. It will likely...and policies of the EPA, or motor vehicle or engine manufacturers. The authors......

Francesca Dominici; Scott L. Zeger; Jonathan M. Samet

2000-06-01T23:59:59.000Z

330

Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms  

Science Journals Connector (OSTI)

Wind data at time scales from 10 min to 1 h are an important input for modeling the performance of wind farms and their impact on many countries’ national electricity systems. Planners need long-term realistic (i.e., meteorologically spatially and ...

Richard Turner; Xiaogu Zheng; Neil Gordon; Michael Uddstrom; Greg Pearson; Rilke de Vos; Stuart Moore

2011-12-01T23:59:59.000Z

331

Sediment transport time measured with U-Series isotopes: Resultsfrom ODP North Atlantic Drill Site 984  

SciTech Connect

High precision uranium isotope measurements of marineclastic sediments are used to measure the transport and storage time ofsediment from source to site of deposition. The approach is demonstratedon fine-grained, late Pleistocene deep-sea sediments from Ocean DrillingProgram Site 984A on the Bjorn Drift in the North Atlantic. The sedimentsare siliciclastic with up to 30 percent carbonate, and dated by sigma 18Oof benthic foraminifera. Nd and Sr isotopes indicate that provenance hasoscillated between a proximal source during the last three interglacialperiods volcanic rocks from Iceland and a distal continental sourceduring glacial periods. An unexpected finding is that the 234U/238Uratios of the silicate portion of the sediment, isolated by leaching withhydrochloric acid, are significantly less than the secular equilibriumvalue and show large and systematic variations that are correlated withglacial cycles and sediment provenance. The 234U depletions are inferredto be due to alpha-recoil loss of234Th, and are used to calculate"comminution ages" of the sediment -- the time elapsed between thegeneration of the small (<_ 50 mu-m) sediment grains in the sourceareas by comminution of bedrock, and the time of deposition on theseafloor. Transport times, the difference between comminution ages anddepositional ages, vary from less than 10 ky to about 300 to 400 ky forthe Site 984A sediments. Long transport times may reflect prior storagein soils, on continental shelves, or elsewhere on the seafloor. Transporttime may also be a measure of bottom current strength. During the mostrecent interglacial periods the detritus from distal continental sourcesis diluted with sediment from Iceland that is rapidly transported to thesite of deposition. The comminution age approach could be used to dateQuaternary non-marine sediments, soils, and atmospheric dust, and may beenhanced by concomitant measurement of 226Ra/230Th, 230Th/234U, andcosmogenic nuclides.

DePaolo, Donald J.; Maher, Kate; Christensen, John N.; McManus,Jerry

2006-06-05T23:59:59.000Z

332

Global Warming Is Driven by Anthropogenic Emissions: A Time Series Analysis Approach  

Science Journals Connector (OSTI)

The solar influence on global climate is nonstationary. Processes such as the Schwabe and Gleissberg cycles of the Sun, or the many intrinsic atmospheric oscillation modes, yield a complex pattern of interaction with multiple time scales. In addition, emissions of greenhouse gases, aerosols, or volcanic dust perturb the dynamics of this coupled system to different and still uncertain extents. Here we show, using two independent driving force reconstruction techniques, that the combined effect of greenhouse gases and aerosol emissions has been the main external driver of global climate during the past decades.

Pablo F. Verdes

2007-07-24T23:59:59.000Z

333

The Biopsychology—Nonlinear Analysis Toolbox: A Free, Open-Source Matlab-Toolbox for the Non-linear Analysis of Time Series Data  

Science Journals Connector (OSTI)

We provide a free, open-source toolbox for non-linear time series analyses. The major goal of this project was to provide a toolbox for nonlinear ... . The toolbox can be run within the Matlab environment, but al...

Christian Beste; Tobias Otto; Sven Hoffmann

2010-10-01T23:59:59.000Z

334

The data this time will be the Motorcycle Acceleration Data: A data frame giving a series of measurements of head acceleration  

E-Print Network (OSTI)

Cosines The data this time will be the Motorcycle Acceleration Data: A data frame giving a series of measurements of head acceleration in a simulated motorcycle accident, used to test crash helmets. Usage: data

Zeng, Donglin

335

Time series association learning  

DOE Patents (OSTI)

An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.

Papcun, George J. (Santa Fe, NM)

1995-01-01T23:59:59.000Z

336

Capabilities Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Capabilities Series Capabilities Series www.emsl.pnl.gov Scientific Innovation Through Integration WHY USE EMSL'S MOLECULAR SCIENCE COMPUTING CAPABILITY? Ì Molecular Science Computing provides users with an integrated suite of computing hardware and software capabilities optimized for achieving the fastest time-to-solution for complex systems-level environmental molecular science simulations. Ì Expert staff members have extensive knowledge and experience in high-performance computing, as well as the operations, domain expertise, and scientific knowledge to support EMSL's users. Ì Substantial integration of transformational high-end computing simulations with experimental resources at EMSL provides a unique multidisciplinary research environment. The Molecular Science Computing capability at EMSL

337

Quantitative evaluation of time-series GHG emissions by sector and region using consumption-based accounting  

Science Journals Connector (OSTI)

This study estimates global time-series consumption-based GHG emissions by region from 1990 to 2005, including both CO2 and non-CO2 GHG emissions. Estimations are conducted for the whole economy and for two specific sectors: manufacturing and agriculture. Especially in the agricultural sector, it is important to include non-CO2 GHG emissions because these are the major emissions present. In most of the regions examined, the improvements in GHG intensities achieved in the manufacturing sector are larger than those in the agricultural sector. Compared with developing regions, most developed regions have consistently larger per-capita consumption-based GHG emissions over the whole economy, as well as higher production-based emissions. In the manufacturing sector, differences calculated by subtracting production-based emissions from consumption-based GHG emissions are determined by the regional economic level while, in the agricultural sector, they are dependent on regional production structures that are determined by international trade competitiveness. In the manufacturing sector, these differences are consistently and increasingly positive for the U.S., EU15 and Japan but negative for developing regions. In the agricultural sector, the differences calculated for the major agricultural importers like Japan and the EU15 are consistently positive while those of exporters like the U.S., Australia and New Zealand are consistently negative.

Takashi Homma; Keigo Akimoto; Toshimasa Tomoda

2012-01-01T23:59:59.000Z

338

Improved one day-ahead price forecasting using combined time series and artificial neural network models for the electricity market  

Science Journals Connector (OSTI)

The price forecasts embody crucial information for generators when planning bidding strategies to maximise profits. Therefore, generation companies need accurate price forecasting tools. Comparison of neural network and auto regressive integrated moving average (ARIMA) models to forecast commodity prices in previous researches showed that the artificial neural network (ANN) forecasts were considerably more accurate than traditional ARIMA models. This paper provides an accurate and efficient tool for short-term price forecasting based on the combination of ANN and ARIMA. Firstly, input variables for ANN are determined by time series analysis. This model relates the current prices to the values of past prices. Secondly, ANN is used for one day-ahead price forecasting. A three-layered feed-forward neural network algorithm is used for forecasting next-day electricity prices. The ANN model is then trained and tested using data from electricity market of Iran. According to previous studies, in the case of neural networks and ARIMA models, historical demand data do not significantly improve predictions. The results show that the combined ANNâ??ARIMA forecasts prices with high accuracy for short-term periods. Also, it is shown that policy-making strategies would be enhanced due to increased precision and reliability.

Ali Azadeh; Seyed Farid Ghaderi; Behnaz Pourvalikhan Nokhandan; Shima Nassiri

2011-01-01T23:59:59.000Z

339

Generation of long time series of burn area maps of the boreal forest from NOAA–AVHRR composite data  

Science Journals Connector (OSTI)

A time series of burned land areas was generated for a 23 year period (1984–2006) using 10-day composites of AVHRR data. The study area covers 1.6 million km2 of boreal forest in western Canada. The algorithm was intended to be consistent throughout the study period and region, and to avoid commission errors, so as to obtain a reliable sample of temporal trends in burned area in the region. The algorithm relies on temporal comparisons of several spectral indices (GEMI, BAI), as well as near infrared reflectance. It emphasizes the stability of the post-fire signal, to avoid false detections associated with cloud, cloud shadows, missed data and radiometric or geometric calibration between AVHRR sensors. Final results show a very consistent temporal adjustment to official statistics and fire perimeters, with very low commission error (< 10%), but medium to high omission error (50%). Burned areas in the region were predominantly associated with coniferous forest cover, with the Taiga and Boreal Shield ecozones, in latitudes between 56 and 60°N, and predominantly at long distances from populated places.

Emilio Chuvieco; Peter Englefield; Alexander P. Trishchenko; Yi Luo

2008-01-01T23:59:59.000Z

340

Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources > Lecture Series Lecture Series The US LHC community has organized two nationwide public lecture series around the themes of the Large Hadron Collider and the Angels &...

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Introduction to Ocean Station Time Series CD-ROM The National Oceanographic Data Center (NODC) and the World Data Center for  

E-Print Network (OSTI)

Introduction to Ocean Station Time Series CD-ROM The National Oceanographic Data Center (NODC, density, and nutrients, are now available on one CD-ROM (originally distributed in 1993). CD-ROM Contents a complete record layout of the SD2 format and the code tables used with it. This CD-ROM also holds

342

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

begins, the vertical velocity correction should not be applied because the wind profiler would then be measuring the fall speed of the hydrometeors and not the true...

343

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

tempsfc Temperature, surface, from RUC model Atmospheric temperature velocitywp Wind speed, vertical, in pressure coordinates, on isobaric grid, from RUC model Vertical velocity...

344

ARM - Datastreams - sondewnpn  

Office of Scientific and Technical Information (OSTI)

Darwin, Australia ARM Mobile Facility FKB M1 Browse Data Browse Plots Black Forest, Germany retired GAN M1 Browse Data Browse Plots Gan Airport, Gan Island, Maldives retired GRW...

345

ARM XDC Datastreams  

NLE Websites -- All DOE Office Websites (Extended Search)

in the infrared. Some details of the GMS-5 satellite can be found at http:www.jaxa.jpprojectssatgmsindexe.html The visible channel is averaged from 1.25 km to 5 km....

346

ARM - Datastreams - 1290bsrwpwindavg  

NLE Websites -- All DOE Office Websites (Extended Search)

since 1970-1-1 0:00:00 0:00 basetime Beam index unitless beam ( beam ) Fast Fourier Transform length. unitless fouriertransformlength ( mode ) The altitude AGL of the center of...

347

A case study of an expert mathematics teacher's interactive decision-making system using physiological and behavioral time series data  

E-Print Network (OSTI)

The purpose of this exploratory case study was to describe an expert teacher?s decision-making system during interactive instruction using teacher self-report information, classroom observation data, and physiological recordings. Timed recordings...

Jensen, Deborah Larkey

2005-02-17T23:59:59.000Z

348

VisIO: enabling interactive visualization of ultra-scale, time-series data via high-bandwidth distributed I/O systems  

SciTech Connect

Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.

Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF

2010-10-15T23:59:59.000Z

349

Are fluctuations in natural gas consumption per capita transitory? Evidence from time series and panel unit root tests  

Science Journals Connector (OSTI)

Abstract The stationary properties of natural gas consumption are essential for predicting the impacts of exogenous shocks on energy demand, which can help modeling the energy-growth nexus. Then, this paper proposes to investigate the panel unit root proprieties of natural gas energy consumption of 48 countries over the period of 1971–2010. We apply the Harvey et al. [69] linearity test in order to determine the type of the unit root tests (the Kruse (2010) nonlinear unit root or LM (Lagrange Multiplier) linear unit root tests). Our results show that the stationarity of natural gas consumption cannot be rejected for more than 60% of countries. In order to provide corroborating evidence, we employed not only the first and second generation panel unit root tests, but also the recent LM panel unit root test developed by Im et al. [28]. This test allows for structural breaks both in intercept and slope. The empirical findings support evidence in favor of stationarity of natural gas consumption for all panels. These results announce that any shock to natural gas consumption has a transitory impact for almost all countries implying that energy consumption will turn back to its time trend.

Muhammad Shahbaz; Naceur Khraief; Mantu Kumar Mahalik; Khair Uz Zaman

2014-01-01T23:59:59.000Z

350

Comparing modern and Pleistocene ENSO-like influences in NW Argentina using nonlinear time series analysis methods  

E-Print Network (OSTI)

Higher variability in rainfall and river discharge could be of major importance in landslide generation in the north-western Argentine Andes. Annual layered (varved) deposits of a landslide dammed lake in the Santa Maria Basin (26 deg S, 66 deg W) with an age of 30,000 14C years provide an archive of precipitation variability during this time. The comparison of these data with present-day rainfall observations tests the hypothesis that increased rainfall variability played a major role in landslide generation. A potential cause of such variability is the El Nino/Southern Oscillation (ENSO). The causal link between ENSO and local rainfall is quantified by using a new method of nonlinear data analysis, the quantitative analysis of cross recurrence plots (CRP). This method seeks similarities in the dynamics of two different processes, such as an ocean-atmosphere oscillation and local rainfall. Our analysis reveals significant similarities in the statistics of both modern and palaeo-precipitation data. The similarities in the data suggest that an ENSO-like influence on local rainfall was present at around 30,000 14C years ago. Increased rainfall, which was inferred from a lake balance modeling in a previous study, together with ENSO-like cyclicities could help to explain the clustering of landslides at around 30,000 14C years ago.

N. Marwan; M. H. Trauth; M. Vuille; J. Kurths

2003-03-24T23:59:59.000Z

351

Time series of high resolution photospheric spectra in a quiet region of the Sun. II. Analysis of the variation of physical quantities of granular structures  

E-Print Network (OSTI)

From the inversion of a time series of high resolution slit spectrograms obtained from the quiet sun, the spatial and temporal distribution of the thermodynamical quantities and the vertical flow velocity is derived as a function of logarithmic optical depth and geometrical height. Spatial coherence and phase shift analyzes between temperature and vertical velocity depict the height variation of these physical quantities for structures of different size. An average granular cell model is presented, showing the granule-intergranular lane stratification of temperature, vertical velocity, gas pressure and density as a function of logarithmic optical depth and geometrical height. Studies of a specific small and a specific large granular cell complement these results. A strong decay of the temperature fluctuations with increasing height together with a less efficient penetration of smaller cells is revealed. The T -T coherence at all granular scales is broken already at log tau =-1 or z~170 km. At the layers beyon...

Puschmann, K G; Vazquez, M; Bonet, J A; Hanslmeier, A; 10.1051/0004-6361:20047193

2012-01-01T23:59:59.000Z

352

Nonparametric estimation in ?-series processes  

Science Journals Connector (OSTI)

A counting process {N(t),t>=0} with the interoccurrence times X"1,X"2,... is an @a-series process if there exists a real number @a such that (k^@aX"k)"k"="1","2","... forms a renewal process. The nonparametric inference problem in an @a-series process ... Keywords: ?-series process, Linear regression, Trend

Halil Aydo?Du; Mahmut Kara

2012-01-01T23:59:59.000Z

353

Abarbanel, H., Brown, R., & Kadtke, J., 1989. Prediction and System Iden tification in Chaotic Time Series with Broadband Fourier Spectra. Phys.  

E-Print Network (OSTI)

Preprint Series LSE­MPS­67, Dept. of Mathematics, London School of Economics, Houghton St., London WC2A 2AE experiments on identification of transmembrane domains. In Proceedings of the 25th Hawaii International

Schuurmans, Dale

354

ARM - Measurement - Radiative heating rate  

NLE Websites -- All DOE Office Websites (Extended Search)

govMeasurementsRadiative heating rate govMeasurementsRadiative heating rate ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Radiative heating rate The heating rate due to the divergence of long and shortwave radiative flux. Categories Radiometric, Atmospheric State Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments MOLTS : Model Output Location Time Series Datastreams MOLTS : Model Output Location Time Series Datastreams MOLTSEDASSNDCLASS1 : Model Output Loc. Time Ser. (MOLTS): EDAS

355

Series A.  

Office of Legacy Management (LM)

.WGJPH-146 ' .WGJPH-146 ' 3 .P' , p3 ."J$i v-e- \. Cont&ning 3 pages Consisting of 0 figuree. Copy No. &of-G copies Series A. , / October 19, 1943 I:. ;I, ' , r;l ?" I ' I' 0 : J. Chipman r'rcro: John P. Howe In Re: Trip to ClYveland, Ohio, October 11, I.943 Thie is to report on the conference held on October 11th in which the pro+. 'g'.*rSs of the coating pork at the Cirasselli Labara*torios ores reviewed. lh05e pToSs;lt were: A. S. I?;ey,uendt; J, C. !'ioodhouse; M. T. Goebel; L. R. kstbrook; .4. Ii. Gray; J. P. Howe; Z. Ft. Keller. YI.,XTFXIP~UTIN~ - A, G. Grcv --- Gray summar ized the progress j;n ,elactropkti:~y, much as is givan ic Yr:e : &.$. .:r : -3 reports of the !l'whnicriL Division. ,. .I c.. , lhe.main points were: ~~'orit i< f:c~!--

356

Development and assessment of a 250 m spatial resolution MODIS annual land cover time series (2000–2011) for the forest region of Canada derived from change-based updating  

Science Journals Connector (OSTI)

Abstract Detailed information on the spatial and temporal distribution of land cover is required to evaluate the effects of land cover change on environmental processes. The development of temporally consistent land cover time series (LCTS) from satellite-based earth observation has proven difficult because multi-year observations are acquired under different conditions resulting in high inter-annual reflectance variability. This leads to spurious differences in land cover when standard approaches for image classification are applied to generate multi-year land cover data. To reduce this effect, a common solution has been to first detect change and update a base map for only these change areas. As long as the change commission error is low, this approach will ensure high consistency between maps in the time series. Here we present an approach for change-based LCTS development following from previous research, but with significant advancements in change detection, training, classification, and evidence-based refinement. The method was applied to generate an annual LCTS covering Canada spanning 2000–2011 that is consistent between years and can be used to identify dominant change transitions. Assessment of the LCTS was challenging because multiple maps needed to be evaluated and can be prohibitive particularly for annual time series covering several years. Three approaches were undertaken involving visual examination, comparison with a reference sample derived from Landsat, and comparison with the MODIS Global LCTS V5.1. Visual assessment revealed high inter-map consistency and logical temporal change trajectories of land cover classes. Comparison with the reference sample showed an accuracy of 70% at the 19 class thematic resolution. Accounting for mixed pixels by considering the first or second reference land cover label as correct increased the accuracy to 80%. Comparison with the MODIS Global LCTS showed that the Canada LCTS achieved higher inter-map consistency and accuracy as expected with national relative to global land cover products.

Darren Pouliot; Rasim Latifovic; Natalie Zabcic; Luc Guindon; Ian Olthof

2014-01-01T23:59:59.000Z

357

Universal Strak Camera C10910 Series  

NLE Websites -- All DOE Office Websites (Extended Search)

time periods. In addition to superb temporal resolution, the streak camera can capture spatial (or spectral) data simultaneously. The C10910 series is a universal streak camera...

358

Power Series Introduction  

E-Print Network (OSTI)

Power Series 16.4 Introduction In this section we consider power series. These are examples of infinite series where each term contains a variable, x, raised to a positive integer power. We use the ratio test to obtain the radius of convergence R, of the power series and state the important result

Vickers, James

359

Method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H (tritium) concentrations of xylem waters and subsurface waters using time series sampling  

DOE Patents (OSTI)

A method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H concentrations of xylem and subsurface waters using time series sampling, insulating sampling chambers, and combined .sup.18 O/.sup.16 O, .sup.2 H/.sup.1 H and .sup.3 H concentration data on transpired water. The method involves collecting water samples transpired from living plants and correcting the measured isotopic compositions of oxygen (.sup.18 O/.sup.16 O) and hydrogen (.sup.2 H/.sup.1 H and/or .sup.3 H concentrations) to account for evaporative isotopic fractionation in the leafy material of the plant.

Smith, Brian (1126 Delaware St., Berkeley, CA 94702); Menchaca, Leticia (1126 Delaware St., Berkeley, CA 94702)

1999-01-01T23:59:59.000Z

360

Multilinear Dynamical Systems for Tensor Time Series  

E-Print Network (OSTI)

the temperature at 5 S, 125 W? For stock price data, one may investigate how the stock prices of electric car

Russell, Stuart

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Predicting Time Series with Support Vector Machines  

E-Print Network (OSTI)

Termination Section No. 3 CF4 Section Name: Clinical Finance Approval Date: 12/15/05, 01/24/07, 11 Termination Section No. 3 CF4 Section Name: Clinical Finance Approval Date: 12/15/05, 01/24/07, 11

362

Signal extraction for nonstationary multivariate time series  

E-Print Network (OSTI)

-0.06-0.04-0.020.000.020.040.06 Total Core Figure 1: Core and Total PCE inflation, 1986 through 2010 information from Core inflation? · We use the Personal Consumption Expenditures (PCE) Core price index Trends (LLM): Total PCE Year 1990 1995 2000 2005 2010 -0.06-0.04-0.020.000.020.040.06 Total Trend CIs

Johnson, Raymond L.

363

Wind Speed Prediction Via Time Series Modeling.  

E-Print Network (OSTI)

??Projected construction of nearby wind farms motivates this study of statistical forecasting of wind speed, for which accurate prediction is critically important to the fluid… (more)

Alexander, Daniel

2009-01-01T23:59:59.000Z

364

Time Series Evaluation of Portal Monitor Data  

SciTech Connect

Radiation portal monitors screen cargo and personal vehicle traffic at international border crossings to detect and interdict illicit sources which may be present in the commerce stream. One difficulty faced by RPM systems is the prospect of false alarms, or undesired alarms due to background fluctuation, or Naturally-Occurring Radioactive Material (NORM) sources in the commerce stream. In general, NORM alarms represent a significant fraction of the nuisance alarms at international border crossings, particularly with Polyvinyl-Toluene (PVT) RPM detectors, which have only very weak spectral differentiation capability. With PVT detectors, the majority of detected photon events fall within the Compton continuum of the material, allowing for very little spectral information to be preserved [1]. Previous work has shown that these detectors can be used for limited spectroscopy, utilizing around 8 spectral bins to further differentiate some NORM and other nuisance sources [2]. NaI based systems achieve much more detailed spectral resolution from each measurement of a source, but still combine all measurements over a vehicle's occupancy in order to arrive at a spectrum to be analyzed.

Robinson, Sean M.; Bender, Sarah E.; Lopresti, Charles A.; Woodring, Mitchell L.

2008-12-08T23:59:59.000Z

365

Introduction to Time Series Analysis Instructor  

E-Print Network (OSTI)

and Statistics 585 King Edward Av. Office 203D Phone: 562-5800 Ext. 3526 Email: rkulik@uottawa.ca Schedule

Kulik, Rafal

366

Fermilab Lecture Series and Events  

NLE Websites -- All DOE Office Websites (Extended Search)

Academic Lecture Series Academic Lecture Series Neutrino Oscillations Schedule Day Speaker Title Location Time March 18 and 25, 2003 (Tuesday) Andre de Gouvea Introduction to Neutrino Oscillations Curia II 10:30 A.M. - noon April 22 and 29, 2003 (Tuesday) Stephen Parke CP Violation in the Neutrino Sector Curia II 10:30 A.M. - noon May 6, 2003 (Tuesday) Boris Kayser The See Saw, and Neutrino Mixing and Oscillation Curia II 10:30 A.M. - noon May 13, 2002 (Tuesday) Boris Kayser Majorana Neutrinos, Majorana Masses, and Double Beta Decay Curia II 10:30 A.M. - noon May 13, 2002 (Tuesday) Boris Kayser Neutrino Puzzles and Leptogenesis Curia II 10:30 A.M. - noon Lattice QCD and the CKM Matrix: What, Why, and When You Should Believe. A series of four lectures reviewing the status and prospects of Lattice QCD

367

Series Transmission Line Transformer  

DOE Patents (OSTI)

A series transmission line transformer is set forth which includes two or more of impedance matched sets of at least two transmissions lines such as shielded cables, connected in parallel at one end ans series at the other in a cascading fashion. The cables are wound about a magnetic core. The series transmission line transformer (STLT) which can provide for higher impedance ratios and bandwidths, which is scalable, and which is of simpler design and construction.

Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)

2004-06-29T23:59:59.000Z

368

Nuclear Science Series: Radiochemistry  

NLE Websites -- All DOE Office Websites (Extended Search)

eBooks Radiochemistry Nuclear Science Series: Radiochemistry These volumes are publicly accessible via the Library Catalog or the links below. Question? 667-5809 Email Scope...

369

Argonne CNM: 2012 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

2 Colloquium Series 2 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title Special Colloquium December 13, 2012 "Pathways to Complex Matter Far-Away-From Equilibrium: Developing Spatiotemporal Tools," by Gopal Shenoy, Argonne National Laboratory, hostged by Daniel Lopez Abstract: From the Big Bang to the coming of humankind, every manifestation of nature has exhibited processes far-away-from equilibrium leading to increasingly complex structural orders from geological to atomic length and time scales. Examples include the evolution of galaxies, hurricanes, stars, and planets; prebiotic reactions; cyclical reactions; photosynthesis; and life itself. The organizational spatiotemporal evolution in soft, hard, and biological matter also follows the same path. It begins from a far-from-equilibrium state and develops over time into organizations with length scales between atoms and small molecules on the one hand and mesoscopic matter on the other.

370

Opposite power series  

Science Journals Connector (OSTI)

In order to analyze the singularities of a power series function P(t) on the boundary of its convergent disc, we introduced the space @W(P) of opposite power series in the opposite variable s=1/t, where P(t) was, mainly, the growth function (Poincare ...

Kyoji Saito

2012-10-01T23:59:59.000Z

371

The Geostationary Operational Environment Satellite R-Series Program  

E-Print Network (OSTI)

: GOES-R is a satellite series carrying six instruments designed to enhance weather forecasting, severeGOES-R The Geostationary Operational Environment Satellite R-Series Program Frequently Asked. The GOES-R series of satellites will fly improved spacecraft and instrument technologies, for more timely

Mojzsis, Stephen J.

372

University Seminar Series Sponsored by the Nanotechnology Graduate Program  

E-Print Network (OSTI)

University Seminar Series Sponsored by the Nanotechnology Graduate Program Imaging Processes in biology and medicine, electrokinetics, and flow control. EVENT DETAILS DATE: February 27, 2013 TIME: 11

Fisher, Frank

373

Highly comparative time-series analysis: the empirical structure of time series and their methods  

Science Journals Connector (OSTI)

...the dataset in the space of well-behaved...large and diverse library of operations...principal components space of operations...operations in our library each individually...principal components space of our library of operations...

2013-01-01T23:59:59.000Z

374

Resumming the string perturbation series  

E-Print Network (OSTI)

We use the AdS/CFT correspondence to study the resummation of a perturbative genus expansion appearing in the type II superstring dual of ABJM theory. Although the series is Borel summable, its Borel resummation does not agree with the exact non-perturbative answer due to the presence of complex instantons. The same type of behavior appears in the WKB quantization of the quartic oscillator in Quantum Mechanics, which we analyze in detail as a toy model for the string perturbation series. We conclude that, in these examples, Borel summability is not enough for extracting non-perturbative information, due to non-perturbative effects associated to complex instantons. We also analyze the resummation of the genus expansion for topological string theory on local $\\mathbb P^1 \\times \\mathbb P^1$, which is closely related to ABJM theory. In this case, the non-perturbative answer involves membrane instantons computed by the refined topological string, which are crucial to produce a well-defined result. We give evidence that the Borel resummation of the perturbative series requires such a non-perturbative sector.

Alba Grassi; Marcos Marino; Szabolcs Zakany

2015-02-10T23:59:59.000Z

375

Focus Series | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Better Buildings Partners Focus Series Focus Series On-Bill Financing Brings Lenders and Homeowners on Board bbnpfocusseriescew9-2-14.jpg Read how Clean Energy Works'...

376

Distinguished Lecturers Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Videos Videos Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Distinguished Lecture Series Environmental Energy Technologies Division Distinguished Lecture Series Videos Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon, October 22, 2012 Climate Change Hits Home: Impacts on the Built Environment and Health John Spengler, June 18, 2012 High Comfort-Low Impact, From Buildings to Cities Matthias Schuler, April 30, 2012 Emissions Trading and Climate Finance: Is 2012 the Dead End or the Crossroads? Marc Stuart, January 27, 2012 Advances in Global Climate Modeling for Scientific Understanding and Predictability V. Ramaswamy, October 7, 2011 How is Building Energy Use Related to Occupant Behaviors and Building Usage

377

Distinguished Lecturers Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Past Seminars Past Seminars Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Distinguished Lecture Series Environmental Energy Technologies Division Distinguished Lecture Series Andrew Hargadon October 22, 2012 Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon Charles J. Soderquist Chair in Entrepreneurship Professor of Technology Management at the Graduate School of Management University of California, Davis John Spengler June 18, 2012 Climate Change Hits Home: Impacts on the Built Environment and Health John Spengler Akira Yamaguchi Professor of Environmental Health & Human Habitation Harvard School of Public Health and Director of the Sustainability and Environmental Management Program Harvard Extension School

378

Energy Management Webinar Series  

Energy.gov (U.S. Department of Energy (DOE))

Boost your knowledge on how to implement an energy management system through this four-part webinar series from the Superior Energy Performance program. Each webinar introduces various elements of the ISO 50001 energy management standard—based on the Plan-Do-Check-Act approach—and the associated steps of DOE's eGuide for ISO 50001 software tool.

379

Global Health Seminar Series  

E-Print Network (OSTI)

Bay Area Global Health Seminar Series Moving beyond millennium targets in global health: The challenges of investing in health and universal health coverage Although targets can help to focus global health efforts, they can also detract attention from deeper underlying challenges in global health

Klein, Ophir

380

Global Health Seminar Series  

E-Print Network (OSTI)

Bay Area Global Health Seminar Series Monday, January 27, 2014 2:30pm ­ 4:00pm (Reception to follow at the Center for Health Policy and the Woods Institute for the Environment. He studies how economic, political, and natural environments affect population health in developing countries using a mix of experimental

Klein, Ophir

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Functional Power Series  

E-Print Network (OSTI)

This work introduces a new functional series for expanding an analytic function in terms of an arbitrary analytic function. It is generally applicable and straightforward to use. It is also suitable for approximating the behavior of a function with a few terms. A new expression is presented for the composite function's n'th derivative. The inverse-composite method is handled in this work also.

Henrik Stenlund

2012-04-24T23:59:59.000Z

382

Argonne CNM: Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Colloquium Series Colloquium Series The Center for Nanoscale Materials holds a regular biweekly colloquium on alternate Wednesday afternoons at 4:00 p.m. in Bldg. 440, Room A105/106. The goal of the series is to provide a forum for topical multidisciplinary talks in areas of interest to the CNM and also to offer a mechanism for fostering interactions with potential facility users. Refreshments will be served at 3:45. January 15, 2013 "Friction, Brownian Motion, and Energy Dissipation Mechanisms in Adsorbed Molecules and Molecularly Thin Films: Heating, Electrostatic and Magnetic Effects," by Jacquelin Krim, North Carolina State University, hosted by Diana Berman Abstract: In the study of friction at the nanoscale, phononic, electrostatic, conduction electron, and magnetic effects all contribute to the dissipation mechanisms. Electrostatic and magnetic contributions are increasingly alluded to in the current literature, but they remain poorly characterized. I will first overview the nature of these various contribution, and then report on our observations of magnetic and electrostatic contributions to friction for various systems in the presence and absence of external fields. I will also report on the use of a quartz crystal microbalance with a graphene/Ni(111) electrode to probe frictional heating effects in Kr monolayers sliding on the microbalance electrode in response to its oscillatory motion.

383

Physics for Everyone Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Physics for Everyone lecture series A non-technical lecture series about Fermilab science and culture Talks take place on Wednesdays each month from 12:30-1:30 p.m. in the...

384

Brookhaven Lecture Series | Home  

NLE Websites -- All DOE Office Websites (Extended Search)

Next Brookhaven Lecture Next Brookhaven Lecture JAN 22 Wednesday Brookhaven Lecture "491st Brookhaven Lecture: Juergen Thieme of Photon Sciences Directorate" Presented by Juergen Thieme, Brookhaven Lab's Photon Sciences Directorate 4 pm, Berkner Hall Auditorium Wednesday, January 22, 2014, 4:00 pm Hosted by: Allen Orville Refreshments will be served before and after the lecture. Brookhaven Lectures are free and open to the Public. Visitors to the Laboratory age 16 and older must bring photo ID. About the Brookhaven Lecture Series Gertrude Scharff-Goldhaber Gertrude Scharff-Goldhaber The Brookhaven Lectures, held by and for the Brookhaven staff, are meant to provide an intellectual meeting ground for all scientists of the Laboratory. In this role they serve a double purpose: they are to acquaint

385

Power Series Power series are one of the most useful type of series in analysis. For example,  

E-Print Network (OSTI)

Chapter 6 Power Series Power series are one of the most useful type of series in analysis functions (and many other less familiar functions). 6.1. Introduction A power series (centered at 0 coefficients. If all but finitely many of the an are zero, then the power series is a polynomial function

Hunter, John K.

386

Taylor series based computations and MATLAB ODE solvers comparisons  

Science Journals Connector (OSTI)

The paper is a part of student cooperation in AKTION project (Austria-Czech). Taylor series method for solving differential equations represents a non-traditional way of a numerical solution. Even though this method is not much preferred in the literature experimental calculations done at the Department of Intelligent Systems of the Faculty of Information Technology of TU Brno have verified that the accuracy and stability of the Taylor series method exceeds the currently used algorithms for numerically solving differential equations. The paper deals with possibilities of numerical solution of Initial Value Problems of Ordinary Differential Equations (ODEs) - using the Taylor series method with automatic computation of higher Taylor series terms. The explicit and implicit scheme of Taylor series method is compared with numerical solvers implemented in MATLAB software [1]. The computation time and accuracy of our approach are compared with that of MATLAB ode solvers on a set of ODEs test examples [2].

Václav Šátek; Ji?í Kunovský; Filip Kocina; Jan Chaloupka

2013-01-01T23:59:59.000Z

387

Fermilab Arts & Lecture Series Tickets  

NLE Websites -- All DOE Office Websites (Extended Search)

Ticket Information Ticket Information On-Line Tickets On-Line ticketing is now available! Click here to be connected to our secure on-line ticketing site. Please note that on-line ticketing for any particular event closes down the Friday prior to the event at noon. For example, a Friday night lecture has on-line sales ending at noon; on-line sales for a given Saturday night Art Series event will end at noon the Friday prior; and sales for a Sunday afternoon Gallery Chamber Series event will end at noon the Friday prior. Please present an ID to pick up student tickets. Telephone For information and tickets you may also call 630-840-ARTS (630-840-2787), or Fax to (630) 840-5501. An answering machine will take your confidential message during times that the box office manager is not available.

388

Energy Is Everywhere Webinar Series  

Energy.gov (U.S. Department of Energy (DOE))

The U.S. Department of Housing and Urban Development (HUD) and two of its Federal partners, the U.S. Departments of Energy and Education, launched this series of webinars entitled “Energy Is...

389

Solar Permitting & Inspection Webinar Series  

Office of Energy Efficiency and Renewable Energy (EERE)

ICLEI Local Governments for Sustainability U.S.A. and the Interstate Renewable Energy Council, Inc. (IREC) present a series of three webinars on Solar Permitting & Inspection. As part of the U...

390

Castle series, 1954. Technical report  

SciTech Connect

CASTLE was an atmospheric nuclear weapons test series held in the Marshall Islands at Enewetak and Bikini atolls in 1954. This is a report of DOD peronnel in CASTLE with an emphasis on operations and radiological safety.

Martin, E.J.; Rowland, R.H.

1982-04-01T23:59:59.000Z

391

Jefferson Lab Science Series - Science Series Video Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Series Video Archive Science Series Video Archive Couldn't make it to the last Science Series lecture? Did you like a lecture so much that you just had to see it again? Not to worry! Past lectures are now available on demand! The Higgs Boson and Our Life The Higgs Boson and Our Life On July 4th, 2012, the ATLAS and CMS experiments operating at the CERN Large Hadron Collider (LHC) announced the discovery of a new particle compatible with the Higgs boson (hunted for almost 50 years), which is a crucial piece for our understanding of fundamental physics and thus the structure and evolution of the universe. This lecture describes the unprecedented instruments and challenges that have allowed such an accomplishment, the meaning and relevance of this discovery to physics... April 30, 2013

392

Alternative Fuels Data Center: P-Series  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

P-Series to someone by P-Series to someone by E-mail Share Alternative Fuels Data Center: P-Series on Facebook Tweet about Alternative Fuels Data Center: P-Series on Twitter Bookmark Alternative Fuels Data Center: P-Series on Google Bookmark Alternative Fuels Data Center: P-Series on Delicious Rank Alternative Fuels Data Center: P-Series on Digg Find More places to share Alternative Fuels Data Center: P-Series on AddThis.com... More in this section... Biobutanol Drop-In Biofuels Methanol P-Series Renewable Natural Gas xTL Fuels P-Series P-Series fuels are blends of natural gas liquids (pentanes plus), ethanol, and methyltetrahydrofuran (MeTHF), a biomass co-solvent. P-Series fuels are clear, colorless, 89-93 octane, liquid blends used either alone or mixed with gasoline in any proportion in flexible fuel vehicles. These fuels are

393

Fast Algorithms for Mining Co-evolving Time Series  

E-Print Network (OSTI)

stitching and occlusion filling for human motion. In partic- ular, we provide a metric for evaluating-efficient way, which can save a significant percentage of electric power consumption in data centers. #12;vi #12

394

Reconstructing influenza incidence by deconvolution of daily mortality time series  

Science Journals Connector (OSTI)

...On September 28, a 200,000-person Liberty Loan Drive took place on the streets...September 27, one day before the notorious Liberty Loan parade, and seven days before the...research group meetings at which this project was begun. The authors declare no conflict...

Edward Goldstein; Jonathan Dushoff; Junling Ma; Joshua B. Plotkin; David J. D. Earn; Marc Lipsitch

2009-01-01T23:59:59.000Z

395

Irregularity, volatility, risk, and financial market time series  

Science Journals Connector (OSTI)

...dividend payouts, risk, and interest rates...futures and swaps), insurance policies, and...settings when isolated political events, or discretely...destabilization a much greater risk in a significantly fractionized and divisive...quantifying systematic risk. 1 Pincus, S. M...

Steve Pincus; Rudolf E. Kalman

2004-01-01T23:59:59.000Z

396

Time Series of Trace Element Concentrations Calculated from  

E-Print Network (OSTI)

a). A total of 120 samples were collected at sites within the Bay, outside the Golden Gate receives many waste water discharges, especially in areas south of the Dumbarton Bridge, that contain trace

397

Deriving emissions time series from sparse atmospheric mole fractions  

E-Print Network (OSTI)

A growth-based Bayesian inverse method is presented for deriving emissions of atmospheric trace species from temporally sparse measurements of their mole fractions. This work is motivated by many recent studies that have ...

Rigby, Matthew

398

Transient signal detection using GPS position time series  

E-Print Network (OSTI)

Continuously operating Global Positioning System (GPS) networks record station position changes with millimeter-level accuracy and have revealed transient deformations on various spatial and temporal scales. However, the ...

Ji, Kang Hyeun

2011-01-01T23:59:59.000Z

399

Time Series Modeling using Mobile Devices and Broadband Internet  

Science Journals Connector (OSTI)

In this paper we present one application included in the Project @DAN, an AdvANced and high secure mobile platform to support the digital economy, that started on November 2001, and is financed by the EUIST-2001-...

Albert Prat; Ignasi Solé; David Remondo; Daniel Martinez; Josep M. Catot

2002-01-01T23:59:59.000Z

400

Time series models with an EGB2 conditional distribution  

E-Print Network (OSTI)

: Theory and Methods. John Wiley & Sons Ltd. McDonald,. J.B. and White, S. B. (1993) A comparison of some robust, adaptive, and partially adaptive estimators of regression models. Econo- metric Reviews 12, 103-124 McDonald J. B. and Xu, Y. J. (1995) A... generalization of the beta distrib- ution with applications. Journal of Econometrics 66, 133-152. McNeil, A.J., Frey, R. and Embrechts, P. (2005) Quantitative Risk Manage- ment. Princeton: Princeton University Press. Prentice, R. L. (1975) Discrimination among...

Caivano, Michele; Harvey, Andrew

2014-07-09T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Sandia National Laboratories: virtual time series of solar power...  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

402

Learning from Time Series in the Resource-Limited Situations  

E-Print Network (OSTI)

selected) with the utility function (line 7), picks thewith highest utility and pushes it onto T (lines 8 to 10).utility of that candidate by calling C ALCULATE I NFOR - MATION G AIN () (line

Ye, Lexiang

2010-01-01T23:59:59.000Z

403

V-uniform ergodicity of threshold autoregressive nonlinear time series  

E-Print Network (OSTI)

intervals. Each threshold autoregressive model can be embedded in a Markov chain on Rp. For specifics, if we write Xt = (yt,yt-1,...,yt-p+1)prime the TAR(p) model introduced in (1.1) can be expressed as the following: Xt = AiXt-1 +nut, Xt-1 element Ri (1... ... 0 0 0 1 0 ... 0 ... 0 ... 0 0 0 .. ... 1 0 1 CC CC CC CC CC A 3 and nut = xit(1,0,...,0)prime . Since the distribution of Xt given X0,...,Xt-1 depends upon Xt-1 only, Xt is a Markov chain. The transition measure of Xt is singular w.r.t. Lebesgue...

Boucher, Thomas Richard

2004-09-30T23:59:59.000Z

404

Time Series Retrieval: Indexing and Mining Large Datasets  

E-Print Network (OSTI)

to a PAA/DWT benchmark . . . . . . . . . . . . . . . . . .T , of length 16. right) A PAA approximation of T , with 432 MINDIST between PAA and iSAX representations. The lower

Shieh, Jin-Wien

2010-01-01T23:59:59.000Z

405

Stochastic Simulation Methods for Precipitation and Streamflow Time Series  

E-Print Network (OSTI)

One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme behavior of daily...

Li, Chao

2013-04-30T23:59:59.000Z

406

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Uçal Sar?; Ba¸sar Öztay¸si

2012-01-01T23:59:59.000Z

407

Graduate School Grant Workshop Series  

E-Print Network (OSTI)

Graduate School Grant Workshop Series Fall 2012 Quantitative Social Sciences #12;Overview Brief Review from Intro Workshop Goals for This Workshop Steps to Successful Grant Writing The "Writing" Part of Grant Writing Climate for Funding of Social Sciences Research Resources Tips Next Steps #12

Omiecinski, Curtis

408

2013-2014Series Engineering  

E-Print Network (OSTI)

.................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering or CS 100 The Computer Science2013-2014Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. ComputerEngineering Computer engineering involves modeling, design, implementation, testing

Hayes, Jane E.

409

2012-2013 Series Engineering  

E-Print Network (OSTI)

.................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering or CS 100 The Computer Science2012-2013 Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. ComputerEngineering Computer engineering involves modeling, design, implementation, testing

Hayes, Jane E.

410

2014-2015Series Engineering  

E-Print Network (OSTI)

................................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering (fulfills the UK Core Arts2014-2015Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. ComputerEngineering Computer engineering involves modeling, design, implementation, testing

MacAdam, Keith

411

2014-2015Series Engineering  

E-Print Network (OSTI)

of the College of Engineering. Freshman Year First Semester Hours EE 101 Creativity and Design in Electrical2014-2015Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. Electrical Engineering The undergraduate electrical engineering degree program seeks to produce

MacAdam, Keith

412

2012-2013 Series Engineering  

E-Print Network (OSTI)

.................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering or CS 100 The Computer Science2012-2013 Series College of Engineering University of Kentucky is accredited by the Southern://www.sacscoc.org for questions about the accreditation of University of Kentucky. ComputerEngineering Computer engineering

Dietz, Henry G. "Hank"

413

Mechanical Engineering Department Seminar Series  

E-Print Network (OSTI)

Mechanical Engineering Department Seminar Series Rational Mechanics of Viral Shells: Is Continuum Theory a Stretch? William S. Klug Associate Professor, Mechanical & Aerospace Engineering, University-assembly. The capacity of these shells to respond structurally and mechanically to physical and chemical stimuli also

Eustice, Ryan

414

JMLR: Workshop and Conference Proceedings 12 (2011) 115139 Causality in Time Series Time Series Analysis with the Causality Workbench  

E-Print Network (OSTI)

, smoking and coughing might be both predictive of respiratory disease and helpful for diagnosis purposes. However, if smoking is a cause and coughing a conse- quence, acting on the cause (smoking) can change your health status, but not acting on the symptom or consequence (coughing). Thus it is extremely important

Statnikov, Alexander

415

Argonne CNM: 2011 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

1 Colloquium Series 1 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title December 21, 2011 "Film Thickness and Elastic Strain Measurements on Silicon-on-Insulator Thin Films," I. Cevdet Noyan, Columbia University, hosted by Jorg Maser Abstract: Silicon-on-insulator (SOI) composites consist of two semiconductor-grade silicon layers bonded to each other via a SiO2 interface. One of these silicon layers is quite thin; it is possible to get thicknesses between 5 and 150 nm. Since this value is much thinner than the extinction distance of X-rays in silicon for commonly used energies, this layer diffracts in the kinematical mode. The second layer is much thicker, around 700 micrometers, and diffracts in the dynamical mode. Both layers can be considered almost perfect, with negligible mosaic structures and no dislocations.

416

Argonne CNM: 2010 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

0 Colloquium Series 0 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title November 10, 2010 "Anisotropic Semiconductor Nanocrystal Synthesis and Chemical and Biological Functionalization," Preston T. Snee, University of Illinois - Chicago, hosted by Richard Schaller Abstract: Semiconductor nanocrystals (NCs, or quantum dots) are very bright chromophores that possess significant potential in alternative energy generation and for biological sensing and imaging applications. Our group has made significant advances in the synthesis of rods and multi-pods of near-infrared emitting PbSe NCs through a previously unobserved mechanism. Characterization of anisotropic PbSe NCs show that they have much more robust chemical properties compared to cubic or "dot"-shaped NCs.

417

Argonne CNM: 2013 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

3 Colloquium Series 3 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title December 18, 2013 "Monodisperse Carbon Nanomaterial Heterostructures," by Mark Hersam, Northwestern University, hosted by Tijana Rajh Abstract: Improvements in carbon nanomaterial monodispersity have yielded corresponding enhancements in the performance of electronic, optoelectronic, sensing, and energy technologies. However, in all of these cases, carbon nanomaterials are just one of many materials employed, suggesting that further device improvements can be achieved by focusing on the integration of disparate nanomaterials into heterostructures with well-defined interfaces. For example, organic self-assembled monolayers on graphene act as effective seeding layers for atomic layer deposited (ALD) dielectrics, resulting in metal-oxide-graphene capacitors with wafer-scale reliability and uniformity comparable to ALD dielectrics on silicon.

418

Energy 101 Dialogue Series Downloads  

Energy.gov (U.S. Department of Energy (DOE))

The Energy 101 dialogue series goals are to identify best practices surrounding teaching energy in the post-secondary setting, to amplify those best practices, and to support the creation of a community of practice of energy education experts. The first dialogue concentrated on issues surrounding teaching energy fundamentals in the classroom within the first two years of post-secondary education and featured presentations from energy education subject matter experts and instructors with experience teaching fundamentals of energy courses.

419

Summer Series 2012 - Shashi Buluswar  

ScienceCinema (OSTI)

The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.

Shashi Buluswar

2013-06-24T23:59:59.000Z

420

Summer Series 2012 - Shashi Buluswar  

SciTech Connect

The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.

Shashi Buluswar

2012-08-08T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


421

Resumming the string perturbation series  

E-Print Network (OSTI)

We use the AdS/CFT correspondence to study the resummation of a perturbative genus expansion appearing in the type II superstring dual of ABJM theory. Although the series is Borel summable, its Borel resummation does not agree with the exact non-perturbative answer due to the presence of complex instantons. The same type of behavior appears in the WKB quantization of the quartic oscillator in Quantum Mechanics, which we analyze in detail as a toy model for the string perturbation series. We conclude that Borel summability is not enough for extracting non-perturbative information, and one has to add explicit non-perturbative effects associated to complex instantons. We also analyze the resummation of the genus expansion for topological string theory on local P1xP1, which is closely related to ABJM theory. In this case, the non-perturbative answer involves membrane instantons computed by the refined topological string, which are crucial to produce a well-defined result. We give evidence that the Borel resummation of the perturbative series requires such a non-perturbative sector.

Alba Grassi; Marcos Marino; Szabolcs Zakany

2014-05-16T23:59:59.000Z

422

MTL ANNUAL RESEARCH REPORT 2014 MTL Seminar Series 217 MTL Seminar Series  

E-Print Network (OSTI)

MTL ANNUAL RESEARCH REPORT 2014 MTL Seminar Series 217 MTL Seminar Series MTL hosts a series. Commercialization of a MEMS Solid Oxide Fuel Cell · April 2, 2014 Zachary J. Lemnios, IBM IBM: Leading the Next Era

Reif, Rafael

423

Department of Electrical and Computer Engineering Fall 2011 Seminar Series  

E-Print Network (OSTI)

transcription requires the understanding of cooperative regulations by TFs and miRNAs, which however haveDepartment of Electrical and Computer Engineering Fall 2011 Seminar Series Seminar Title: Uncover context-specific co-regulations by transcription factors and microRNAs using Bayesian factor model Time

Pal, Ranadip

424

USF College of Marine Science Eminent Scholars Lecture Series  

E-Print Network (OSTI)

USF College of Marine Science Eminent Scholars Lecture Series Frontiers in Marine Science Thursday - April 5, 2012 Time Speaker Title 1:30 pm Dr. Josh Willis Jet Propulsion Laboratory California Institute, 727-553-1130, website: http://www.marine.usf.edu/seminars/esls #12;

Meyers, Steven D.

425

Summing Finite Series?A Hybrid Approach  

Science Journals Connector (OSTI)

......Finite Series-A Hybrid Approach OLIVER ANDERSON AFIMA Department of Management Science, Pennsylvania State...Series--A Hybrid Approach OLIVER ANDERSON, AFIMA Department of Management Science, Pennsylvania State......

OLIVER ANDERSON

1987-01-01T23:59:59.000Z

426

TDS3000C Series Digital Phosphor Oscilloscopes  

E-Print Network (OSTI)

xx TDS3000C Series Digital Phosphor Oscilloscopes ZZZ User Manual *P071230802* 071-2308-02 #12;#12;TDS3000C Series Digital Phosphor Oscilloscopes ZZZ User Manual xx www.tektronix.com 071-2308-02 #12

Kleinfeld, David

427

Jefferson Lab Science Series - The Ultimate Speed  

NLE Websites -- All DOE Office Websites (Extended Search)

Higgs Boson and Our Life Higgs Boson and Our Life Previous Video (The Higgs Boson and Our Life) Science Series Video Archive Next Video (What Is CEBAF All About?) What Is CEBAF All About? The Ultimate Speed Dr. William Bertozzi - Massachusetts Institute of Technology Sometime in 1962 In his youth, Dr. William Bertozzi, an MIT professor who has long been a leader in experimental nuclear physics using beams of electrons, carried out an experiment in which he explored the relationship between the velocity of electrons and their kinetic energy by measurements over a range of accelerating voltages between 0.5 MeV and 15 MeV. The kinetic energy is measured using calorimetry and the velocity is measured by time-of-flight. This educational film, made in 1962, documents the experiment and shows

428

Rapidly Convergent Series of the Divisors Functions  

E-Print Network (OSTI)

This note gives a few rapidly convergent series representations of the sums of divisors functions. These series have various applications such as exact evaluations of some power series, computing estimates and proving the existence results of some special values of the sums of divisors functions.

N. A. Carella

2014-07-28T23:59:59.000Z

429

Resumming the string perturbation series  

E-Print Network (OSTI)

We use the AdS/CFT correspondence to study the resummation of a perturbative genus expansion appearing in the type II superstring dual of ABJM theory. Although the series is Borel summable, its Borel resummation does not agree with the exact non-perturbative answer due to the presence of complex instantons. The same type of behavior appears in the WKB quantization of the quartic oscillator in Quantum Mechanics, which we analyze in detail as a toy model for the string perturbation series. We conclude that Borel summability is not enough for extracting non-perturbative information, and one has to add explicit non-perturbative effects associated to complex instantons. We also analyze the resummation of the genus expansion for topological string theory on local P1xP1, which is closely related to ABJM theory. In this case, the non-perturbative answer involves membrane instantons computed by the refined topological string, which are crucial to produce a well-defined result. We give evidence that the Borel resummati...

Grassi, Alba; Zakany, Szabolcs

2014-01-01T23:59:59.000Z

430

Direct connection of series self-excited generators and HVDC converters  

SciTech Connect

An alternative and simpler solution is proposed for the direct connection of generators to HVdc converters. The generator exciter windings are connected in series with the output of the HVdc converter and take the place of the conventional smoothing reactor. Existing steady state and time domain simulation programs are modified to represent the behavior of the series direct connection scheme. It is shown that series excitation extends naturally the power transmission capability and permits fast fault clearances.

Arrillaga, J.; Macdonald, S.J.; Watson, N.R.; Watson, S. (Univ. Canterbury, Christchurch (New Zealand))

1993-10-01T23:59:59.000Z

431

Time-Resolved  

NLE Websites -- All DOE Office Websites (Extended Search)

Time-Resolved Time-Resolved Time-Resolved Print Of the four fundamental parameters that we use to perceive the physical world (energy, momentum, position, and time) three correspond to the three broad categories of synchrotron experimental measurement techniques: spectroscopy (energy), scattering (momentum), and imaging (position). The fourth parameter-time-can in principle be applied to all the techniques. At the ALS, many experiments can be carried out in real time, with data being recorded from the same sample as it changes over time. Some time-resolved experiments take advantage of the pulsed nature of the ALS's synchrotron radiation, which, like a strobe light, can capture a series of "snapshots" of a process that, when viewed sequentially, show us how a given process evolves over time. Other experiments simply require two pulses: one to "pump" energy into the sample system and a second to probe the system's excited state.

432

Measurement of Holmium Rydberg series through MOT depletion spectroscopy  

E-Print Network (OSTI)

We report measurements of the absolute excitation frequencies of $^{165}$Ho $4f^{11}6sns$ and $4f^{11}6snd$ odd-parity Rydberg series. The states are detected through depletion of a magneto-optical trap via a two-photon excitation scheme. Measurements of 162 Rydberg levels in the range $n=40-101$ yield quantum defects well described by the Rydberg-Ritz formula. We observe a strong perturbation in the $ns$ series around $n=51$ due to an unidentified interloper at 48515.47(4) cm$^{-1}$. From the series convergence, we determine the first ionization potential $E_\\mathrm{IP}=48565.939(4)$ cm$^{-1}$, which is three orders of magnitude more accurate than previous work. This work represents the first time such spectroscopy has been done in Holmium and is an important step towards using Ho atoms for collective encoding of a quantum register.

Hostetter, J; Lawler, J E; Saffman, M

2014-01-01T23:59:59.000Z

433

88 Power Series 8.1 Introduction and Review of Power Series  

E-Print Network (OSTI)

88 Power Series Methods 8.1 Introduction and Review of Power Series In Section 3.3 we saw by inspection, linear equations with variable coefficients generally require the power series techniques - 2xy + n(n + 1)y = 0. In this section we introduce the power series method in its simplest form and

Sikora, Adam S.

434

Fermilab Arts & Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Arts & Lecture Series 2013-14 Free on-line ticketing now available! Check our web page at fnal.gov/culture A r t S S e r i e S The Congregation Second City: Happily Ever Laughter De Temps Antan Stars of Dance Chicago Jingle Babes: Decking the Halls with Songs and Folly-The Four Bitchin' Babes Dirty Dozen Brass Band Alan Kelly Gang The Fantasticks: Steampunk Version Huun Huur Tu: Throat Singers of Tuva Rhythm Safari: An Interactive World Drumming Event G A L L e r y C h A m b e r S e r i e S Chicago Brass Quintet 50th Anniversary Season Cavatina Duo Rembrandt Chamber Players L e C t u r e S e r i e S Dr. Jeff Lichtman Connectomics: Mapping the Brain Dr. Michael Meyer The Potential for Life on Mars: Past, Present and Future? Dr. James Kakalios The Physics of Superheroes Physics Slam 2013 Dr. Pete Beckman

435

Climate Change Task Force Webinar Series | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Climate Change Task Force Webinar Series Climate Change Task Force Webinar Series The four-part Climate Change Impacts and Indian Country webinar series provided tribal leaders an...

436

DOE Tribal Renewable Energy Webinar Series 2014 | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Tribal Renewable Energy Webinar Series 2014 DOE Tribal Renewable Energy Webinar Series 2014 2014 webinar series flyer More Documents & Publications Community- and Facility-Scale...

437

Transportation Energy Futures Series: Projected Biomass Utilization...  

Office of Scientific and Technical Information (OSTI)

Projected Biomass Utilization for Fuels and Power in a Mature Market TRANSPORTATION ENERGY FUTURES SERIES: Projected Biomass Utilization for Fuels and Power in a Mature Market A...

438

Downhole delay assembly for blasting with series delay  

DOE Patents (OSTI)

A downhole delay assembly is provided which can be placed into a blasthole for initiation of explosive in the blasthole. The downhole delay assembly includes at least two detonating time delay devices in series in order to effect a time delay of longer than about 200 milliseconds in a round of explosions. The downhole delay assembly provides a protective housing to prevent detonation of explosive in the blasthole in response to the detonation of the first detonating time delay device. There is further provided a connection between the first and second time delay devices. The connection is responsive to the detonation of the first detonating time delay device and initiates the second detonating time delay device. A plurality of such downhole delay assemblies are placed downhole in unfragmented formation and are initiated simultaneously for providing a round of explosive expansions. The explosive expansions can be used to form an in situ oil shale retort containing a fragmented permeable mass of formation particles.

Ricketts, Thomas E. (Grand Junction, CO)

1982-01-01T23:59:59.000Z

439

World Series Baseball 2k1  

Science Journals Connector (OSTI)

From the Publisher:The great American pastime just got a shot in the arm! World Series Baseball 2K1 for the Sega Dreamcast (based on the successful arcade game World Series Baseball 99) promises to be the most immersive baseball game ever ...

Mark Cohen; David Chong; Patrick Mauro

2000-08-01T23:59:59.000Z

440

On site relay transient testing for a series compensation upgrade  

SciTech Connect

This paper describes tests on the relays on a long 500kV ac line carried out on site using the RTDS (Real Time Digital Simulator) of the Manitoba HVDC Research Centre. The purpose of the tests was to examine the relay behavior when series compensation is inserted in the line in 1993. New settings for the relays have been found which will give adequate cover for all faults although some faults will be entirely dependent on the communication link for short clearance times.

McLaren, P.G.; Kuffel, R.; Giesbrecht, J.; Keerthipala, W. (Manitoba HVDC Research Centre, Winnipeg, Manitoba (Canada)); Castro, A.; Fedirchuk, D.; Innes, S. (Manitoba Hydro, Winnipeg, Manitoba (Canada)); Mustaphi, K. (Northern States Power, Minneapolis, MN (United States)); Sletten, K. (Minnesota Power, Duluth, MN (United States))

1994-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Argonne CNM: 2005 Seminar Series  

NLE Websites -- All DOE Office Websites (Extended Search)

5 5 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 Dec. 8, 2005 "Ultrafast spectroscopy of single-walled carbon nanotubes," Libai Huang-Stevenson, University of Rochester, hosted by Gary Wiederrecht Abstract: The optical and electronic properties of single-walled carbon nanotubes (SWNTs) were studied by ultrafast spectroscopy. The photoexcited carriers in isolated SWNTs relaxed through many channels with decay time ranging from subpicosecond to over 100 ps. The magnitude of the longest-lived component in the ultrafast signal exhibited strong resonance dependence, thus suggesting that this lifetime corresponds to the band-edge relaxation time. Excitons are expected to play an important role in reduced dimension materials. Exciton effects in SWNTs were investigated through Auger recombination. Quantized Auger recombination was observed, and Auger lifetimes for two and three e-h pair states were determined. Auger recombination in SWNTs is extremely fast, with lifetimes of only a few picoseconds for SWNTs excited with two and three e-h pairs. Experimental results conclusively show that Auger recombination in SWNTs is due to interaction between one-dimensional excitons and occurs as a two-particle process; a one-electron picture cannot explain our data. Thus, this provides experimental evidence of discrete one-dimensional exciton-excited states in SWNTs.

442

Project Rover: Main Series of Nuclear-Rocket Engines - NUCLEAR ROCKETS: To  

NLE Websites -- All DOE Office Websites (Extended Search)

Project Rover: Main Series of Nuclear-Rocket Engines Project Rover: Main Series of Nuclear-Rocket Engines Kiwi-A Named after the large, flightless bird, Kiwi was the first phase of Project Rover. Kiwi consisted of eight reactors that scientists tested between 1959 and 1964. The first reactor, dubbed Kiwi-A, was fired for the first (and only) time on July 1, 1959, at Jackass Flats in the Nevada Test Site (now the Nevada National Security Site). Kiwi-B The Kiwi-B series increased power by ten-fold while maintaining the same size of the Kiwi-A series. The Kiwi-B reactors experienced a problem similar to Kiwi-A: Internal vibrations caused by dynamic flow instability fractured portions of the fuel elements. Scientists resolved this problem when they developed Kiwi-B4. Phoebus-1 During the 1960s, scientists developed the Phoebus series of nuclear

443

Lab's 70th Anniversary lecture series  

NLE Websites -- All DOE Office Websites (Extended Search)

February 2013 » February 2013 » Lab's 70th Anniversary Lecture Series Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Lab's 70th Anniversary lecture series The Bradbury Science Museum is hosting a public lecture series with a different talk held each month through the end of the year. February 1, 2013 dummy image Read our archives. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email All lectures begin at 5:30 p.m. and are held at the museum,1350 Central Avenue, Los Alamos. To mark the Laboratory's 70th anniversary this year, its Bradbury Science Museum is hosting a public lecture series with a different talk held each month through the end of the year. They are free and open to the public on

444

Celebrating Einstein A Series of Articles  

NLE Websites -- All DOE Office Websites (Extended Search)

A Series of Articles A Series of Articles "Albert Einstein is undoubtedly one of the most fascinating and influential figures of the modern era. As a preeminent physicist, he radically transformed our understanding of the universe." - Edited excerpt from Albert Einstein, Albert Einstein Archives, The Hebrew University of Jerusalem In this series about Albert EinsteinÂ’s body of work, his discoveries are related to todayÂ’s research, technology, and common knowledge. Series themes include "How did Einstein know that?" and "How did Einstein figure that out?" and they focus either on conveying a major concept or on the reasoning that led to it. These articles will also cover EinsteinÂ’s major 1905 writings and address his general theory of relativity. In consideration of 2005 being designated as the World Year of Physics, the release of these articles is especially appropriate.

445

The Manhattan Project National Security History Series  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The Manhattan Project National Security History Series 5 Visit our Manhattan Project web site: http://www.cfo.doe.gov/me70/manhattan/index.htm 5 DOE/MA-0002 Revised F. G. Gosling Office of History and Heritage Resources Executive Secretariat Office of Management Department of Energy January 2010 The Manhattan Project National Security History Series 5 National Security History Series Volume I: The Manhattan Project: Making the Atomic Bomb Volume II: Building the Nuclear Arsenal: Cold War Nuclear Weapons Development and Production, 1946-1989 (in progress) Volume III: Nonproliferation and Stockpile Stewardship: The Nuclear Weapons Complex in the Post-Cold War World (projected) The National Security History Series is a joint project of the Office

446

Summer Series 2012 - Conversation with Omar Yaghi  

ScienceCinema (OSTI)

Jeff Miller, head of Public Affairs, sat down in conversation with Omar Yaghi, director of the Molecular Foundry, in the first of a series of "powerpoint-free" talks on July 11th 2012, at Berkeley Lab.

Omar Yaghi

2013-06-24T23:59:59.000Z

447

ORC Seminar Series Presents: "Nonlinear laser lithography  

E-Print Network (OSTI)

ORC Seminar Series Presents: "Nonlinear laser lithography: formation of self-authored 50 journal and more than 150 conference papers and he has given more than 100 invited talks. http://www.orc

Anderson, Jim

448

2012-2013 Series College of Agriculture  

E-Print Network (OSTI)

2012-2013 Series College of Agriculture and School of Human Environmental Sciences University about the accreditation of University of Kentucky. AgriculturalBiotechnology Agriculturalbiotechnologyencompassescellularandmolecularapproaches to the manipulation and improvement of agricultural plants, animals and microorganisms

Hayes, Jane E.

449

Climate Change Task Force Webinar Series  

Energy.gov (U.S. Department of Energy (DOE))

The four-part Climate Change Impacts and Indian Country webinar series provided tribal leaders an opportunity to share their insights, experiences, and ideas with President Obama’s State, Local,...

450

Frontiers in Biological Sciences Seminar Series Presents  

E-Print Network (OSTI)

Frontiers in Biological Sciences Seminar Series Presents Integrated Molecular Approaches to Study Professor, Departments of Earth and Planetary Science and Environmental Science, Policy, Management) methods with geochemical approaches, it has been possible to begin to determine how these communities

451

CLEAN Webinar Series 2 | Open Energy Information  

Open Energy Info (EERE)

JPG Triangle Right.JPG Webinar3.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries2&oldid67800...

452

CLEAN Webinar Series 3 | Open Energy Information  

Open Energy Info (EERE)

JPG Webinar3.JPG Triangle Right.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries3&oldid678001...

453

2014-2015Series Public Health  

E-Print Network (OSTI)

2014-2015Series College of Public Health University of Kentucky is accredited by the Southern) .......................................................... 3 *BST 330 Statistical Thinking for Population Health *CPH 201 Introduction to Public Health

MacAdam, Keith

454

Summer Series 2012 - Conversation with Kathy Yelick  

ScienceCinema (OSTI)

Jeff Miller, head of Public Affairs, sat down in conversation with Kathy Yelick, Associate Berkeley Lab Director, Computing Sciences, in the second of a series of "powerpoint-free" talks on July 18th 2012, at Berkeley Lab.

Kathy Yelick

2013-06-24T23:59:59.000Z

455

ACS SYMPOSIUM SERIES 966 Rational Environmental  

E-Print Network (OSTI)

ACS SYMPOSIUM SERIES 966 Rational Environmental Management of Agrochemicals Risk Assessment-Bayo, Editor Chiha University Sponsored by the ACS Division of Agrochemicals American Chemical Society of agrochemicals : risk assessment, monitoring, and remedial action / Ivan R. Kennedy, editor. ..[et al

Hammock, Bruce D.

456

Advances in Photosynthesis and Respiration Series Editor  

E-Print Network (OSTI)

Springer Advances in Photosynthesis and Respiration Series Editor: Govindjee, University of Illinois at Urbana-Champaign, USA Volume 29 Photosynthesis in silico Understanding Complexity from Molecules to Ecosystems Edited by; A. Laisk, L. Nedbal, and Govindjee Photosynthesis in silico

Govindjee "Gov"

457

Physics 116A Winter 2011 The Alternating Series Test  

E-Print Network (OSTI)

Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = n=0 (-1)n an , (1) where all the an > 0. The alternating series test is a set and/or property 2 do not hold, then the alternating series test is inconclusive. Note that property 1

California at Santa Cruz, University of

458

Physics 116A Winter 2011 The Alternating Series Test  

E-Print Network (OSTI)

Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = # # n=0 (-1) n a n , (1) where all the a n > 0. The alternating series test but property 1 and/or property 2 do not hold, then the alternating series test is inconclusive. Note

California at Santa Cruz, University of

459

Joint Outreach Task Group Video Series | Department of Energy  

Office of Environmental Management (EM)

Video Series Joint Outreach Task Group Video Series The purpose of this video series is to provide an overview of the roles and responsibilities of the federal government offices...

460

Energy Efficiency and Conservation Loan Program Webinar Series...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Energy Efficiency and Conservation Loan Program Webinar Series-- 2 Evalution, Monitoring & Verification Energy Efficiency and Conservation Loan Program Webinar Series-- 2...

Note: This page contains sample records for the topic "time series datastreams" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Energy Efficiency and Conservation Loan Program Webinar Series...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Energy Efficiency and Conservation Loan Program Webinar Series-- 1 Overview and Cost Effectiveness Energy Efficiency and Conservation Loan Program Webinar Series-- 1 Overview and...

462

National Adaptation Forum Webinar Series: Out of Town, Not Out...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Adaptation Forum Webinar Series: Out of Town, Not Out of Trouble: Small Agriculture and Indigenous Communities National Adaptation Forum Webinar Series: Out of Town, Not Out of...

463

DOE Tribal Renewable Energy Webinar Series 2015 Flier  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Power Administration (Western), is pleased to continue its sponsorship of the DOE Tribal Renewable Energy Webinar Series for 2015. The webinar series is part of DOE's coordinated...

464

Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid Buses Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid Buses Emissions and fuel economy data were...

465

3800 Green Series Cost Elements | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

(formerly EPP) Program 3800 Green Series Cost Elements 06112014 (Rev. 7) 3800 Green Series Cost Elements More Documents & Publications 1 OPAM Policy Acquisition Guides...

466

Building America Best Practices Series, Volume 13 - Energy Performance...  

Energy Savers (EERE)

Series, Volume 13 - Energy Performance Techniques and Technologies: Perserving Historic Homes Building America Best Practices Series, Volume 13 - Energy Performance Techniques and...

467

Restoration of Short Periods of Missing Energy Use and Weather Data Using Cubic Spline and Fourier Series Approaches: Qualitative Analysis  

E-Print Network (OSTI)

The paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...

Baltazar, J. C.; Claridge, D. E.

2002-01-01T23:59:59.000Z

468

Restoration of Short Periods of Missing Energy Use and Weather Data Using Cubic Spline and Fourier Series Approaches: Qualitative Analysis  

E-Print Network (OSTI)

This paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...

Baltazar-Cervantes, J. C.; Claridge, D. E.

469

Piecewise Adiabatic Passage with a Series of Femtosecond Pulses  

SciTech Connect

We develop a method of executing complete population transfers between quantum states in a piecewise manner using a series of femtosecond laser pulses. The method can be applied to a large class of problems as it benefits from the high peak powers and large spectral bandwidths afforded by femtosecond pulses. The degree of population transfer is robust to a wide variation in the absolute and relative intensities, durations, and time ordering of the pulses. The method is studied in detail for atomic sodium where piecewise adiabatic population transfer, as well as the induction of Ramsey-type interferences, is demonstrated.

Shapiro, E. A. [Department of Chemistry, University of British Columbia, Vancouver, V6T1Z3 (Canada); Milner, V. [Department of Chemistry, University of British Columbia, Vancouver, V6T1Z3 (Canada); Department of Physics, University of British Columbia, Vancouver, V6T1Z3 (Canada); Menzel-Jones, C. [Department of Physics, University of British Columbia, Vancouver, V6T1Z3 (Canada); Shapiro, M. [Department of Chemistry, University of British Columbia, Vancouver, V6T1Z3 (Canada); Department of Physics, University of British Columbia, Vancouver, V6T1Z3 (Canada); Department of Chemical Physics, Weizmann Institute, Rehovot, 76100 (Israel)

2007-07-20T23:59:59.000Z

470

Space Radiation and Cataracts (LBNL Summer Lecture Series)  

ScienceCinema (OSTI)

Summer Lecture Series 2009: Eleanor Blakely, radiation biologist of the Life Sciences Division at Lawrence Berkeley National Laboratory, has been a scientist at Berkeley Lab since 1975. She is studying the effect of radiation on cataracts which concerns not only cancer patients, but also astronauts. As astronauts spend increasingly longer time in space, the effects of cosmic radiation exposure will become an increasingly important health issue- yet there is little human data on these effects. Blakely reviews this emerging field and the contributions made at Berkeley Lab

Blakely, Eleanor

2011-04-28T23:59:59.000Z

471

User's Guide Agilent Technologies 8560 E-Series and EC-Series  

E-Print Network (OSTI)

User's Guide Agilent Technologies 8560 E-Series and EC-Series Spectrum Analyzers Manufacturing Part. Refer servicing to qualified personnel. To prevent electrical shock do not remove covers. WARNING Before power cable to a socket outlet provided with protective earth contact. WARNING There are many points

Ravikumar, B.

472

UC Laboratory Safety Systemwide Webinar Series  

E-Print Network (OSTI)

Force Report on Improving the Culture of Laboratory Safety in Academic Institutions Speaker: Dr. RobertUC Laboratory Safety Systemwide Webinar Series Webinars are being developed and will be scheduled on the following topics, with all webinars to be recorded and posted on the UC Lab Safety SharePoint site. ACS Task

Tsien, Roger Y.

473

Denman Forestry Issues Series presents: "Seeking Sustainability"  

E-Print Network (OSTI)

and Introduction - Dr. B. Bruce Bare, Dean, College of Forest Resources 10:20 - 10:45 Sustainability in the FaceDenman Forestry Issues Series presents: "Seeking Sustainability" Monday, November 18, 2002, 10AM how to manage natural resources in a sustainable way. The question of sustainability is a complex one

Borenstein, Elhanan

474

Robo-Ethics Continuing Education Series  

E-Print Network (OSTI)

Robo-Ethics Continuing Education Series (RECES) 2013 Consortium for Robotics and Unmanned Systems potential ethical dangers or greater potential ethical rewards?" Monday 23 September 2013 1300 - 1500 for Ethics, Law and Armed Con ict (ELAC) in Oxford, UK: Specializing in ethics, broadly construed, both

475

2014-2015Series College of Agriculture,  

E-Print Network (OSTI)

2014-2015Series College of Agriculture, Food and Environment University of Kentucky is accredited of University of Kentucky. Agricultural Economics The Agricultural Economics program enables graduates to pursue and production. Opportunities are also available in public policy for agriculture and rural America

MacAdam, Keith

476

2012-2013 Series College of Agriculture  

E-Print Network (OSTI)

2012-2013 Series College of Agriculture and School of Human Environmental Sciences University about the accreditation of University of Kentucky. AgriculturalEconomics The Agricultural Economics for agriculture and rural America and environmental economics. These career opportunities may be found in both

Hayes, Jane E.

477

Distinguished Lecturer Series Understanding Climate Change  

E-Print Network (OSTI)

Distinguished Lecturer Series Understanding Climate Change: Opportunities and Challenges for Data A Climate change is the defining environmental challenge facing our planet, yet there is considerable.Anew and transformative approach is required to understand the potential impact of climate change. Data driven approaches

California at Davis, University of

478

Solar Instructor Series A PROJECT BY  

E-Print Network (OSTI)

9. NEC ® 2011 Code Updates PV 10. Integra ng Solar into Exis ng Curricula 11. How to Land YourSolar Instructor Series A PROJECT BY: FUNDING PROVIDED BY: The NC Solar Center at NC State University is the Southern Mid Atlan c Provider of Solar Instructor Training (SMAPSIT) a Train

479

Boston University Seminar Series on Climate Change  

E-Print Network (OSTI)

Boston University Seminar Series on Climate Change Free and open to the public Thursdays, September for Societal Change Matthew Nisbet, Associate Professor of Communication Studies, Public Policy and Urban National Assessments of Climate Change Tony Janetos, Professor of Earth and Environment and Director

Marchant, David R.

480

NZER WORKING PAPER SERIES BOLIVIA'S ECONOMIC CRISIS  

E-Print Network (OSTI)

process throughout this century, --1-- #12;'acle I Economic Performance in the jg8Os, Se'ected CountriesNZER WORKING PAPER SERIES BOLIVIA'S ECONOMIC CRISIS Juan Antonio Morales Jeffrey Sachs Working Paper No. 2620 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138

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to obtain the most current and comprehensive results.


481

HEART SMART NUTRITION Lesson Series Evaluation  

E-Print Network (OSTI)

HEART SMART NUTRITION Lesson Series Evaluation Please check the appropriate column if you did any of these activities either before or after receiving and reading the HeartSmart Nutrition lessons. Lifestyle Practices/Activities BEFORE Reading Lessons AFTER Reading Lessons Read any heart disease and nutrition information or website

482

756 RESONANCE August 2013 SERIES ARTICLE  

E-Print Network (OSTI)

turbines, Betz law, offshore wind parks. Challenges in the Quest for Clean Energies 3. Wind Technologies using wind turbines. There are different kinds of wind turbines and a detailed discussion of each756 RESONANCE August 2013 SERIES ARTICLE Keywords Wind energy, horizontal and ver- tical axis

Srinivasan, N.

483

Physics Meets Biology (LBNL Summer Lecture Series)  

ScienceCinema (OSTI)

Summer Lecture Series 2006: If scientists could take advantage of the awesomely complex and beautiful functioning of biologys natural molecular machines, their potential for application in many disciplines would be incalculable. Nobel Laureate and Director of the Lawrence Berkeley National Laboratory Steve Chu explores Possible solutions to global warming and its consequences.

Chu, Steve [Director, LBNL

2011-04-28T23:59:59.000Z

484

LM79XX Series 3-Terminal Negative Regulators  

E-Print Network (OSTI)

LM79XX Series 3-Terminal Negative Regulators General Description The LM79XX series of 3-terminal external component -- a compensation ca- pacitor at the output. The LM79XX series is packaged in the TO-220 conditions. Low ground pin current of the LM79XX series allows output voltage to be easily boosted above

Berns, Hans-Gerd

485

X-ray Practicals Series 1 Advanced Data Reduction  

E-Print Network (OSTI)

X-ray Practicals Series 1 Advanced Data Reduction Instructor J. Reibenspies, Ph. D. Nattamai Bhuvanesh, Ph.D. Version 1.0.0 #12;X-ray Practicals Series 2 #12;X-ray Practicals Series 3 #12;X-ray is good. The y direction is shifting the most, but the shift is ok #12;X-ray Practicals Series 5 Other

Meagher, Mary

486

2013 Tribal Renewable Energy Webinar Series to Kick Off January 30 |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Tribal Renewable Energy Webinar Series to Kick Off January 30 Tribal Renewable Energy Webinar Series to Kick Off January 30 2013 Tribal Renewable Energy Webinar Series to Kick Off January 30 January 24, 2013 - 3:52pm Addthis In response to popular demand, the DOE Office of Indian Energy Policy and Programs, the Office of Energy Efficiency and Renewable Energy Tribal Energy Program, and Western Area Power Administration will continue their joint sponsorship of the Tribal Renewable Energy Webinar Series in 2013. The DOE Office of Indian Energy will kick off this year's schedule on January 30 from 11 a.m. to 12:30 p.m. Mountain Time with a webinar entitled Strategic Technical Response Team (START) and Online Education Program Update. Presented by DOE Indian Energy START team members Elizabeth Doris and Alexander Dane of DOE's National Renewable Energy Laboratory, this

487

Reduction in maximum time uncertainty of paired time signals  

DOE Patents (OSTI)

Reduction in the maximum time uncertainty (t/sub max/ - t/sub min/) of a series of paired time signals t/sub 1/ and t/sub 2/ varying between two input terminals and representative of a series of single events where t/sub 1/ less than or equal to t/sub 2/ and t/sub 1/ + t/sub 2/ equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t/sub min/) of the first signal t/sub 1/ closer to t/sub max/ and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20 to 800.

Theodosiou, G.E.; Dawson, J.W.

1981-02-11T23:59:59.000Z

488

Jefferson Lab Science Series - Current Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Current Science Series Schedule Current Science Series Schedule Lectures are free and open to students and adults with an interest in science. All lectures begin at 7:00 pm in CEBAF Center Auditorium [Download a Map] [Locate Jefferson Lab on Google Maps] [Display a QR Code for Scanning] and last for about an hour. Seating in the CEBAF Center Auditorium and overflow area is limited to about 300 people. Seating is on a first come, first served basis. Unfortunately, people arriving once capacity has been reached will be turned away. A live video stream will be available for those not able to attend in person. Lectures will be added to the video archive for on-demand viewing upon approval from the presenter. NOTICE: For security purposes, everyone over 16 is asked to carry a photo I.D. Security guards may inspect vehicles, book bags and purses.

489

Satellite stories featured in Lab lecture series  

NLE Websites -- All DOE Office Websites (Extended Search)

February » February » Satellite stories featured Satellite stories featured in Lab lecture series Space adventures will be featured in the upcoming Frontiers in Science lecture series "Small Satellites on a Shoestring: The LANL Experience." February 14, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials.

490

SSRL Presents Series | Stanford Synchrotron Radiation Lightsource  

NLE Websites -- All DOE Office Websites (Extended Search)

Presents Series Presents Series Date Seminar Title 11/20/2013 Graphite and its Hidden Superconductivity 11/20/2013 Graphite and its Hidden Superconductivity 10/24/2013 Atomic-Resolution Spectroscopic Imaging and In Situ Environmental Study of Bimetallic Nanocatalysts by Fast Electrons 10/09/2013 New developments with SDD detectors 09/25/2013 X-ray and neutron scattering studies of the complex compounds 09/09/2013 Dopant Site Determination in Iron Oxide Nanoparticles Utilizing X-ray Absorption Techniques 08/21/2013 Correlating Spatial Heterogeneities in Porosity and Permeability with Metal Poisoning within an Individual Catalyst Particle using X-ray Microscopy 08/12/2013 Lensless Imaging of Atomic Surface Structures via Ptychography 08/09/2013 The Best of Both Worlds: Bulk Diamond Properties Realized at the Nanoscale

491

Data series subtraction with unknown and unmodeled background noise  

E-Print Network (OSTI)

LISA Pathfinder (LPF), ESA's precursor mission to a gravitational wave observatory, will measure the degree to which two test-masses can be put into free-fall, aiming to demonstrate a residual relative acceleration with a power spectral density (PSD) below 30 fm/s$^2$/Hz$^{1/2}$ around 1 mHz. In LPF data analysis, the measured relative acceleration data series must be fit to other various measured time series data. This fitting is required in different experiments, from system identification of the test mass and satellite dynamics to the subtraction of noise contributions from measured known disturbances. In all cases, the background noise, described by the PSD of the fit residuals, is expected to be coloured, requiring that we perform such fits in the frequency domain. This PSD is unknown {\\it a priori}, and a high accuracy estimate of this residual acceleration noise is an essential output of our analysis. In this paper we present a fitting method based on Bayesian parameter estimation with an unknown frequency-dependent background noise. The method uses noise marginalisation in connection with averaged Welch's periodograms to achieve unbiased parameter estimation, together with a consistent, non-parametric estimate of the residual PSD. Additionally, we find that the method is equivalent to some implementations of iteratively re-weighted least-squares fitting. We have tested the method both on simulated data of known PSD, and to analyze differential acceleration from several experiments with the LISA Pathfinder end-to-end mission simulator.

Stefano Vitale; Giuseppe Congedo; Rita Dolesi; Valerio Ferroni; Mauro Hueller; Daniele Vetrugno; William Joseph Weber; Heather Audley; Karsten Danzmann; Ingo Diepholz; Martin Hewitson; Natalia Korsakova; Luigi Ferraioli; Ferran Gibert; Nikolaos Karnesis; Miquel Nofrarias; Henri Inchauspe; Eric Plagnol; Oliver Jennrich; Paul W. McNamara; Michele Armano; James Ira Thorpe; Peter Wass

2014-04-18T23:59:59.000Z

492

Radon Series Comp. Appl. Math 8, 129 c de Gruyter 2009 Optimal consumption and investment with  

E-Print Network (OSTI)

Radon Series Comp. Appl. Math 8, 1�29 c de Gruyter 2009 Optimal consumption and investment investment/con- sumption problem for continuous time market models. By applying results from sto- chastic, together with margin tradings on certain financial products, the exposure to losses of investments

Paris-Sud XI, Université de

493

Gerald R. Ford School of Public Policy, University Of Michigan National Poverty Center Working Paper Series  

E-Print Network (OSTI)

to the child--the mother's labor supply. The time commitment involved in caring for a child in poor health may Paper Series #04-6 May 2004 Mothers' Labor Supply in Fragile Families: The Role of Child Health Hope in Fragile Families: The Role of Child Health Hope Corman Rider University National Bureau of Economic

Shyy, Wei

494

The Immunology Series Comes to an End  

Science Journals Connector (OSTI)

...recent immunology Nobelist, admonishes us that we must heighten our capacity to maintain the immunity of individuals as well as the herd immunity of humankind. He broadens a hypothesis, initially developed in relation to allergy, that the increasing incidence of autoimmune diseases and allergies may well... The thought-provoking article by Zinkernagel in this issue of the Journal 1 brings to a close the series of review articles on immunology that have been appearing in these pages during the past 17 months. Those who have read these reviews will conclude ...

Rosen F.S.; Mackay I.

2001-11-01T23:59:59.000Z

495

Macdonald Polynomials and Multivariable Basic Hypergeometric Series  

E-Print Network (OSTI)

We study Macdonald polynomials from a basic hypergeometric series point of view. In particular, we show that the Pieri formula for Macdonald polynomials and its recently discovered inverse, a recursion formula for Macdonald polynomials, both represent multivariable extensions of the terminating very-well-poised 6-phi-5 summation formula. We derive several new related identities including multivariate extensions of Jackson's very-well-poised 8-phi-7 summation. Motivated by our basic hypergeometric analysis, we propose an extension of Macdonald polynomials to Macdonald symmetric functions indexed by partitions with complex parts. These appear to possess nice properties.

Michael J. Schlosser

2007-03-30T23:59:59.000Z

496

DOE Webinar: Solar Program Overview (EECLP Webinar Series) |...  

Energy Savers (EERE)

DOE Webinar: Solar Program Overview (EECLP Webinar Series) DOE Webinar: Solar Program Overview (EECLP Webinar Series) January 22, 2015 3:00PM to 4:00PM EST Hear from our solar...

497

Series Resonant Inverter with Contactless Transformers for Multiple LED Lamps.  

E-Print Network (OSTI)

??A half-bridge series-resonant inverter adopted to realize the quasi current source and the constant current source with a number of contactless transformers in series for… (more)

Cheng, Shuen-Wen

2013-01-01T23:59:59.000Z

498

DOE Tribal Renewable Energy Series Webinar: Putting It All Together...  

Energy Savers (EERE)

DOE Tribal Renewable Energy Series Webinar: Putting It All Together DOE Tribal Renewable Energy Series Webinar: Putting It All Together October 29, 2014 5:00PM to 6:30PM EDT...

499

Green Racing Series Revs Engines with Renewable Fuel from INEOS...  

Energy Savers (EERE)

Green Racing Series Revs Engines with Renewable Fuel from INEOS Bio Green Racing Series Revs Engines with Renewable Fuel from INEOS Bio March 17, 2014 - 2:55pm Addthis A racecar...

500

National High Magnetic Field Laboratory - Series Connected Hybrid  

NLE Websites -- All DOE Office Websites (Extended Search)

Magnet Lab Series Connected Hybrid for Magnet Lab Figure 1. Vertical Section of the Series Connected Hybrid Magnet for the Mag Lab. The Magnet Lab has embarked on innovative...