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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  

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

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

Time Series and Forecasting  

Science Conference Proceedings (OSTI)

Time Series and Forecasting. Leigh, Stefan and Perlman, S. (1991). "An Index for Comovement of Time Sequences With ...

6

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

7

ARM XDC Datastreams  

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

Documentation FLUXNET Instrument FLUXNET netCDF File Header Descriptions (Data Object Design Files) External Datastream Descriptions Order Data Comments? We would love to hear...

8

ARM XDC Datastreams  

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

NCEPGFS Instrument NCEPGFS netCDF File Header Descriptions (Data Object Design Files) External Datastream Descriptions Order Data Comments? We would love to hear from...

9

ARM XDC Datastreams  

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

StreamsMultispectral Thermal Imager Documentation MTI Instrument MTI netCDF File Header Descriptions (Data Object Design Files) External Datastream Descriptions Order Data...

10

ARM - Datastreams - thwaps  

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

Archive Data Plot Example thwaps Archive Data Plot Datastream : THWAPS Temperature, humidity, winds and pressure system (THWAPS): meterological data Active Dates 1999.09.21 -...

11

ARM XDC Datastreams  

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

StreamsMesoscale Analysis and Prediction System Documentation MAPS Instrument MAPS netCDF File Header Descriptions (Data Object Design Files) External Datastream Descriptions Order...

12

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

13

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 )

14

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 )

15

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 )

16

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 )

17

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 )

18

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 )

19

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 )

20

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 )

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 - 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

22

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 )

23

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 )

24

ARM - Datastreams - sashemfr  

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

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 )

25

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 )

26

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 )

27

ARM - Datastreams - amc  

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

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 )

28

ARM - Datastreams - prprad  

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

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

29

ARM - Datastreams - rad  

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

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 )

30

ARM - Datastreams - vdis  

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

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 )

31

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

32

ARM - Datastreams - 1290rwpwindmom  

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

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 )

33

ARM - Datastreams - 50rwpwindspec  

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

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 )

34

ARM - Datastreams - dlrhi  

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

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

35

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 )

36

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 )

37

ARM - Datastreams - aosnox  

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

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 )

38

ARM - Datastreams - rphtilt  

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

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 )

39

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

40

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

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 - sashevis  

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

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 )

42

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 )

43

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 )

44

ARM - Datastreams - swacrvpt  

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

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 )

45

ARM - Datastreams - kazrmd  

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

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 )

46

ARM - Datastreams - prpfrsr  

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

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 )

47

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 )

48

ARM - Datastreams - aosacsm  

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

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

49

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 )

50

ARM - Datastreams - 5ebbr  

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

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

51

ARM - Datastreams - vdisdrops  

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

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

52

ARM - Datastreams - twr  

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

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 )

53

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 )

54

ARM - Datastreams - 915rwptempcon  

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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

55

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 )

56

ARM - Datastreams - swacrcal  

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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 )

57

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 )

58

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 )

59

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 )

60

ARM - Datastreams - swacrppi  

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

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 )

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 - 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 )

62

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 )

63

ARM - Datastreams - xsacrawrhi  

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

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 )

64

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 )

65

ARM - Datastreams - mwrp  

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

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

66

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 )

67

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 )

68

ARM - Datastreams - aosccn200  

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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 )

69

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

70

ARM - Datastreams - wacrspeccmaskcopol  

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

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 )

71

ARM - Datastreams - 915rwptempmom  

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

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 )

72

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 )

73

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 )

74

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 )

75

ARM - Datastreams - hsrl  

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

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 )

76

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 )

77

ARM - Datastreams - noaaaosavg  

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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 )

78

ARM - Datastreams - 6sprpfrsr  

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

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 )

79

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 )

80

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 )

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 - kazrspeccmaskhicopol  

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

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

82

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 )

83

ARM - Datastreams - csphotaot  

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

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 )

84

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 )

85

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 )

86

ARM - Datastreams - aosmet  

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

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

87

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 )

88

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 )

89

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

90

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

91

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 )

92

ARM - Datastreams - kasacrcrraster  

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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 )

93

ARM - Datastreams - kasacrvpt  

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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 )

94

ARM - Datastreams - sondewnpn  

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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 )

95

ARM - Datastreams - kasacrcwrhi  

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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 )

96

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 )

97

ARM - Datastreams - noaaaos  

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

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 )

98

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 )

99

ARM - Datastreams - kasacrppi  

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

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 )

100

ARM XDC Datastreams  

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

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

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 - wsacrvpt  

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

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 )

102

ARM - Datastreams - xsacrrhi  

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

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 )

103

ARM XDC Datastreams  

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

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

104

ARM - Datastreams - aosnephwet  

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

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

105

ARM - Datastreams - 1440smos  

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

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

106

ARM - Datastreams - kasacrawrhi  

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

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 )

107

ARM - Datastreams - kasacrslr  

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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 )

108

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 )

109

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 )

110

ARM - Datastreams - xsacrhsrhi  

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

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 )

111

ARM - Datastreams - 50rwptempcon  

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

Data Plot Example 50rwptempcon Archive Data Plot Datastream : 50RWPTEMPCON 50-MHz Radar Wind ProfilerRASS (RWP50): consensus temperature data Active Dates 2001.04.01 - 2006.05.04...

112

ARM - Datastreams - 06fslwpdnrass  

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

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 06FSLWPDNRASS Wind Profiler Demo Network (WPDN): 6-min RASS data Active Dates 2002.03.20 - 2013.08.26...

113

ARM - Datastreams - 50rwpwindcon  

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

Data Plot Example 50rwpwindcon Archive Data Plot Datastream : 50RWPWINDCON 50-MHz Radar Wind ProfilerRASS (RWP50): consensus wind data Active Dates 2001.04.01 - 2006.05.04...

114

ARM - Datastreams - 60fslwpdnrass  

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

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 60FSLWPDNRASS Wind Profiler Demo Network (WPDN): RASS data, 60-min Active Dates 2002.03.20 - 2013.08.26...

115

ARM - Datastreams - 60wpdnsurf  

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

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 60WPDNSURF Wind Profiler Demo Network (WPDN): surface meterology data, 60-min Active Dates 1994.01.21 -...

116

ARM - Datastreams - 1290rwpwindcon  

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

below or call us at 1-888-ARM-DATA. Send Datastream : 1290RWPWINDCON 1290-MHz Radar Wind ProfilerRASS (RWP1290): wind consensus data Active Dates 2007.03.19 - 2012.03.31...

117

ARM - Datastreams - 06fslwpdnmet  

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

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 06FSLWPDNMET Wind Profiler Demo Network (WPDN): 6-min meteorological data Active Dates 2002.03.19 -...

118

ARM - Datastreams - 50rwpwind  

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

us a note below or call us at 1-888-ARM-DATA. Send Datastream : 50RWPWIND 50-MHz Radar Wind ProfilerRASS (RWP50): wind profile data Active Dates 1997.05.19 - 2001.03.31...

119

ARM - Datastreams - 1290bsrwpwindavg  

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

us at 1-888-ARM-DATA. Send Datastream : 1290BSRWPWINDAVG 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Active Dates 2012.12.06 - 2013.08.22 Measurement...

120

ARM - Datastreams - 60fslwpdnmet  

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

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 60FSLWPDNMET Wind Profiler Demo Network (WPDN): meteorology data, 60-min Active Dates 2002.03.19 -...

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 - 60wpdnwnds  

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

you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 60WPDNWNDS Wind Profiler Demo Network (WPDN): 60-minute consensus average wind components Active Dates...

122

ARM - Datastreams - 915rwplowindcon  

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

915rwplowindcon Archive Data Plot Datastream : 915RWPLOWINDCON 915-MHz Radar Wind ProfilerRASS (RWP915): low power, consensus wind data Active Dates 1997.04.01 - 2004.05.30...

123

ARM - Datastreams - 60wpdnrass  

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

Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 60WPDNRASS Wind Profiler Demo Network (WPDN): RASS virtual...

124

ARM - Datastreams - 915rwpprecipspec  

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

note below or call us at 1-888-ARM-DATA. Send Datastream : 915RWPPRECIPSPEC 915-MHz Radar Wind Profiler, precipitation spectra data Active Dates 2009.05.20 - 2013.09.19 Measurement...

125

ARM - Datastreams - 06wpdnmmts  

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

Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 06WPDNMMTS Wind Profiler Demo Network (WPDN): 6-min wind moments...

126

ARM - Datastreams - 915rwpprecipmom  

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

note below or call us at 1-888-ARM-DATA. Send Datastream : 915RWPPRECIPMOM 915-MHz Radar Wind Profiler, precipitation moments data Active Dates 2009.05.28 - 2013.09.19 Measurement...

127

ARM - Datastreams - 06snwsupabrw  

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

or call us at 1-888-ARM-DATA. Send Datastream : 06SNWSUPABRW NWS profiles at Barrow, Alaska with 6-second resolution Active Dates 1996.08.31 - 2012.05.31 Measurement...

128

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])

129

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 )

130

ARM - Datastreams - aeri01summary  

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

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 )

131

ARM - Datastreams - sonicwind2d  

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

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 )

132

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 )

133

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 )

134

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

135

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

136

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 )

137

FPGA-based hardware accelerator for high-performance data-stream processing  

Science Conference Proceedings (OSTI)

An approach to solving high-performance data-stream processing is proposed based on hardware solutions that use a field-programmable gate array. The described HDG hardware solution was successfully applied to video data streams. The computation capacity ... Keywords: FPGA, application-specific processors, data-stream processing, hardware accelerators, high-performance computations, real time

K. F. Lysakov; M. Yu. Shadrin

2013-03-01T23:59:59.000Z

138

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

139

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

140

ARM - Datastreams - acars  

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

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

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 - twrcam40m  

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

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 - 2013.09.11 Measurement Categories Surface...

142

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

143

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

144

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

145

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

146

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.

147

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

148

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

149

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)

150

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

151

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.

152

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

153

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

154

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 )

155

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

156

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

157

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

158

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

159

ARM - Datastreams - mettiptwr  

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

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

160

ARM - Datastreams - ecmwfsupp  

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

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

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 - Datastreams - 915rwpwind  

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

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

162

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

163

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

164

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

165

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

166

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)

167

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

168

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)

169

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

170

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

171

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)

172

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

173

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:

174

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

175

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

176

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

177

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

178

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

179

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

180

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

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 - 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

182

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

183

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

184

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

185

A review on time series data mining  

Science Conference Proceedings (OSTI)

Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. A time series is a collection of observations made chronologically. The nature of time series data includes: large in ... Keywords: Representation, Segmentation, Similarity measure, Time series data mining, Visualization

Tak-chung Fu

2011-02-01T23:59:59.000Z

186

Climatological Time Series with Periodic Correlation  

Science Conference Proceedings (OSTI)

Many climatological time series display a periodic correlation structure. This paper examines three issues encountered when analyzing such time series: detection of periodic correlation, modeling periodic correlation, and trend estimation under ...

Robert Lund; Harry Hurd; Peter Bloomfield; Richard Smith

1995-11-01T23:59:59.000Z

187

Time dependent Directional Profit Model for Financial Time Series Forecasting  

E-Print Network (OSTI)

Time dependent Directional Profit Model for Financial Time Series Forecasting Jingtao YAO Chew Lim@comp.nus.edu.sg Abstract Goodness­of­fit is the most popular criterion for neural network time series forecasting. In the context of financial time series forecasting, we are not only concerned at how good the forecasts fit

Yao, JingTao

188

Time Series Prediction Forecasting the Future and ...  

Science Conference Proceedings (OSTI)

Time Series Prediction Forecasting the Future and Understanding the Past Santa Fe Institute Proceedings on the Studies in the Sciences of ...

2012-10-01T23:59:59.000Z

189

Statistical criteria for characterizing irradiance time series.  

SciTech Connect

We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

2010-10-01T23:59:59.000Z

190

Predicting time series with advanced hybrid systems  

Science Conference Proceedings (OSTI)

Autogressive moving average (ARMA) has been widely used to model processes that generate linear time-series. Recent research activities in forecasting with artificial neutral networks (ANNs) suggest that ANNs can be a promising alternative to the traditional ... Keywords: ARMA models, fuzzy system, hybrid system, neutral networks, time series

O. Valenzuela; I. Rojas; F. Rojas; H. Pomares; J. Gonzalez; L. J. Herrera; A. Guillen

2005-12-01T23:59:59.000Z

191

Efficient forecasting for hierarchical time series  

Science Conference Proceedings (OSTI)

Forecasting is used as the basis for business planning in many application areas such as energy, sales and traffic management. Time series data used in these areas is often hierarchically organized and thus, aggregated along the hierarchy levels based ... Keywords: forecasting, hierarchies, optimization, time series

Lars Dannecker; Robert Lorenz; Philipp Rsch; Wolfgang Lehner; Gregor Hackenbroich

2013-10-01T23:59:59.000Z

192

Time series forecasting with Qubit Neural Networks  

Science Conference Proceedings (OSTI)

This paper proposes a quantum learning scheme approach for time series forecasting, through the application of the new non-standard Qubit Neural Network (QNN) model. The QNN description was adapted in this work in order to resemble classical Artificial ... Keywords: artificial intelligence, artificial neural networks, quantum computing, qubit neural networks, time series forecasting

Carlos R. B. Azevedo; Tiago A. E. Ferreira

2007-08-01T23:59:59.000Z

193

ARM - Datastreams - csphotpp  

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

from midnight time ( time ) Time of Observation dd:mm:yyyy, hh:mm:ss timeObs ( time, stringlength ) Time offset from basetime timeoffset ( time ) View Zenith Angle degree...

194

ARM - Datastreams - csphotalm  

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

from midnight time ( time ) Time of Observation dd:mm:yyyy, hh:mm:ss timeObs ( time, stringlength ) Time offset from basetime timeoffset ( time ) wavelength um wavelength (...

195

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

196

ARM - Datastreams - wacr  

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

( time ) Antenna top temperature degrees C tempantennatop ( time ) Chiller temperature degrees C tempchiller ( time ) Chiller return temperature degrees C...

197

ARM - Datastreams - swacrvad  

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

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

198

ARM - Datastreams - sashevislowsun  

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

( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 basetime Spectrometer chiller internal dew point degC chillerdewpoint ( time ) Spectrometer chiller internal RH %...

199

ARM - Datastreams - sashenirlowsun  

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

( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 basetime Spectrometer chiller internal dew point degC chillerdewpoint ( time ) Spectrometer chiller internal RH %...

200

ARM - Datastreams - met  

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

latitude degreeN lat Logger temperature C loggertemp ( time ) Logger voltage V loggervolt ( time ) East longitude degreeE lon ORG1 precipitation rate mean mmhr...

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

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...

202

ARM - Datastreams - sashenir  

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

of Si CCD optical bench degC benchtemperaturespectrometernir ( time ) Spectrometer chiller internal dew point degC chillerdewpoint ( time ) Spectrometer chiller internal RH %...

203

ARM - Datastreams - 30twr10x  

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

30twr10x Archive Data Plot Datastream : 30TWR10X Sixty Meter Tower: temperature, humidity, & vapor pressure, 30-min avg Active Dates 1997.09.12 - 2013.07.23 Measurement...

204

ARM - Datastreams - 1twr10x  

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

Plot Example 1twr10x Archive Data Plot Datastream : 1TWR10X Sixty Meter Tower: temp, humidity & vapor pressure, 1-min avg Active Dates 1997.09.12 - 2013.07.23 Measurement...

205

ARM - Datastreams - 30twr25m  

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

30twr25m Archive Data Plot Datastream : 30TWR25M Sixty Meter Tower: temperature, humidity, & vapor pressure at 25-m, 30-min average Active Dates 1996.02.07 - 2013.07.23...

206

ARM - Datastreams - 30twr60m  

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

30twr60m Archive Data Plot Datastream : 30TWR60M Sixty Meter Tower: temperature, humidity, & vapor pressure at 60-m, 30-min avg Active Dates 1996.02.06 - 2013.07.23...

207

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

208

Tritium Time Series from Ocean Station P  

Science Conference Proceedings (OSTI)

We present time series of tritium (3H) concentrations at varying depths in the water column at Ocean Station P(50N, 145W) in the northeast Pacific. Measurements started in the fall of 1974, at the time of the GEOSECS mapping of the North ...

A. E. Gargett; G. Ostlund; C. S. Wong

1986-10-01T23:59:59.000Z

209

Integrated method for chaotic time series analysis  

DOE Patents (OSTI)

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.

Hively, Lee M. (Philadelphia, TN); Ng, Esmond G. (Concord, TN)

1998-01-01T23:59:59.000Z

210

Integrated method for chaotic time series analysis  

DOE Patents (OSTI)

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data are disclosed. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated. 8 figs.

Hively, L.M.; Ng, E.G.

1998-09-29T23:59:59.000Z

211

ARM - Datastreams - sodar  

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

( time, height ) Locations ARM Mobile Facility PVC S1 Browse Data Highland Center, Cape Cod MA; MAOS Contact(s) Stephen Springston (631) 344-4477 srs@bnl.gov Richard Coulter...

212

ARM - Datastreams - dlusr  

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

timeoffset ( time ) Locations Southern Great Plains SGP C1 Browse Data Central Facility, Lamont, OK ARM Mobile Facility PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1...

213

ARM - Datastreams - saszevis  

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

occluded by point of inner band nearest to the solar position degree innerbandscatang ( time ) North latitude degreeN lat East longitude degreeE lon MIO relative humidity...

214

ARM - Datastreams - mfrirt25m  

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

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

215

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

216

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

217

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

218

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

219

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

220

ARM - Datastreams - twrcam3m  

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

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

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

ARM - Datastreams - ruc20hybr  

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 : 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

222

ARM - Datastreams - allruc20hybr  

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 : 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

223

ARM - Datastreams - ecmwfsfc1l  

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

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

224

Optimal aggregation of linear time series models  

Science Conference Proceedings (OSTI)

Aggregation is a central and mainly unsolved problem in econometrics. When considering linear time series models, a widely used method is to replace the disaggregate model by an aggregative one in which the variables are grouped and replaced by sums ... Keywords: Aggregation, Industrial classification, Threshold accepting

J. Chipman; P. Winker

2005-04-01T23:59:59.000Z

225

Segmenting Time Series for Weather Forecasting  

E-Print Network (OSTI)

turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been

Reiter, Ehud

226

Forecasting Electricity Demand by Time Series Models  

Science Conference Proceedings (OSTI)

Electricity demand is one of the most important variables required for estimating the amount of additional capacity required to ensure a sufficient supply of energy. Demand and technological losses forecasts can be used to control the generation and distribution of electricity more efficiently. The aim of this paper is to utilize time series model

E. Stoimenova; K. Prodanova; R. Prodanova

2007-01-01T23:59:59.000Z

227

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

228

Combining motif information and neural network for time series prediction  

Science Conference Proceedings (OSTI)

Recent research works pay more attention to time series prediction, in which some time series data mining approaches have been exploited. In this paper, we propose a new method for time series prediction which is based on the concept of time series motifs. ...

Cao Duy Truong; Huynh Nguyen Tin; Duong Tuan Anh

2012-01-01T23:59:59.000Z

229

Time series analysis of a Web search engine transaction log  

Science Conference Proceedings (OSTI)

In this paper, we use time series analysis to evaluate predictive scenarios using search engine transactional logs. Our goal is to develop models for the analysis of searchers' behaviors over time and investigate if time series analysis is a valid method ... Keywords: ARIMA, Box-Jenkins model, Search engine, Time series analysis, Transactional log

Ying Zhang; Bernard J. Jansen; Amanda Spink

2009-03-01T23:59:59.000Z

230

Structural Time Series Models and Trend Detection in Global and Regional Temperature Series  

Science Conference Proceedings (OSTI)

A unified statistical approach to identify suitable structural time series models for annual mean temperature is proposed. This includes a generalized model that can represent all the commonly used structural time series models for trend ...

Xiaogu Zheng; Reid E. Basher

1999-08-01T23:59:59.000Z

231

IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION  

E-Print Network (OSTI)

IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE By BEREKET TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE Dissertation Approved: Dr. Jeffrey D- Original RTSM.......................................................153 4.4.1 RTSM Peak Design Cooling Load

232

Changepoint Detection in Periodic and Autocorrelated Time Series  

Science Conference Proceedings (OSTI)

Undocumented changepoints (inhomogeneities) are ubiquitous features of climatic time series. Level shifts in time series caused by changepoints confound many inference problems and are very important data features. Tests for undocumented ...

Robert Lund; Xiaolan L. Wang; Qi Qi Lu; Jaxk Reeves; Colin Gallagher; Yang Feng

2007-10-01T23:59:59.000Z

233

A New Method for Time Series Filtering near Endpoints  

Science Conference Proceedings (OSTI)

Time series filtering (e.g., smoothing) can be done in the spectral domain without loss of endpoints. However, filtering is commonly performed in the time domain using convolutions, resulting in lost points near the series endpoints. Multiple ...

Anthony Arguez; Peng Yu; James J. OBrien

2008-04-01T23:59:59.000Z

234

Detecting and Classifying Events in Noisy Time Series  

Science Conference Proceedings (OSTI)

Time series are characterized by a myriad of different shapes and structures. A number of events that appear in atmospheric time series result from as yet unidentified physical mechanisms. This is particularly the case for stable boundary layers, ...

Yanfei Kang; Danijel Belui?; Kate Smith-Miles

235

Bispectral-based methods for clustering time series  

Science Conference Proceedings (OSTI)

Distinguishing among linear and nonlinear time series or between nonlinear time series generated by different underlying processes is challenging, as second-order properties are generally insufficient for the task. Different nonlinear processes have ... Keywords: Bispectral density function, Hierarchical clustering, Nonlinear time series

Jane L. Harvill, Nalini Ravishanker, Bonnie K. Ray

2013-08-01T23:59:59.000Z

236

Feature-based clustering for electricity use time series data  

Science Conference Proceedings (OSTI)

Time series clustering has been shown effective in providing useful information in various applications. This paper presents an efficient computational method for time series clustering and its application focusing creation of more accurate electricity ... Keywords: electricity distribution, electricity use data, feature extraction, feature-based clustering, load curves, time series clustering

Teemu Rsnen; Mikko Kolehmainen

2009-04-01T23:59:59.000Z

237

A Potential-Field Approach to Financial Time Series Modelling  

Science Conference Proceedings (OSTI)

We present a new approach to the problem of time series modelling that captures the invariant distribution of time series data within the model. This is particularly relevant in modelling economic and financial time series, such as oil prices, that ... Keywords: diffusion, multiple attraction regions, potential function, price

S. Borovkova; H. Dehling; J. Renkema; H. Tulleken

2003-10-01T23:59:59.000Z

238

An Approach to Adjusting Climatological Time Series for Discontinuous Inhomogeneities  

Science Conference Proceedings (OSTI)

A method is described whereby climatological time series of temperature and precipitation can be adjusted for station inhomogeneities using station history information. The adjusted data retains its original scale and is not an anomaly series. ...

Thomas R. Karl; Claude N. Williams Jr.

1987-12-01T23:59:59.000Z

239

Time Series Dependent Analysis of Unparametrized Thomas Networks  

Science Conference Proceedings (OSTI)

This paper is concerned with the analysis of labeled Thomas networks using discrete time series. It focuses on refining the given edge labels and on assessing the data quality. The results are aimed at being exploitable for experimental design and include ... Keywords: Time series analysis,Regulators,Computational modeling,Time measurement,Bioinformatics,Computational biology,Labeling,constraint satisfaction.,Time series analysis,model checking,temporal logic,biology and genetics

Hannes Klarner; Heike Siebert; Alexander Bockmayr

2012-09-01T23:59:59.000Z

240

Spectral estimation for locally stationary time series with missing observations  

Science Conference Proceedings (OSTI)

Time series arising in practice often have an inherently irregular sampling structure or missing values, that can arise for example due to a faulty measuring device or complex time-dependent nature. Spectral decomposition of time series is a traditionally ... Keywords: Missing data, Nondecimated transform, Spectral estimation, Wavelet lifting

Marina I. Knight; Matthew A. Nunes; Guy P. Nason

2012-07-01T23:59:59.000Z

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.


241

Forecasting Natural Gas Prices Using Time Series Models .  

E-Print Network (OSTI)

??The objective of this thesis is to estimate the natural gas component of the All Urban Consumer Price Index (CP-U) using time series forecasting models. (more)

Berg, Andrew

2006-01-01T23:59:59.000Z

242

Characterizability of metabolic pathway systems from time series...  

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

Characterizability of metabolic pathway systems from time series data Eberhard O. Voit The Wallace H. Coulter, Department of Biomedical Engineering at Georgia Tech. and Emory...

243

Time Series Graphs of Global and Hemispheric Temperature Anomalies...  

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

Time Series Graphs of Global and Hemispheric Temperature Anomalies graphics Graph - Global and Hemispheric Annual Temperature Anomalies, 1850-2012 graphics Graph - Northern...

244

Data Tools & Models - Time Series - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Time-series data for net generation, fossil fuel consumption for electricity generation, existing nameplate and net summer capacity, proposed nameplate capacity, ...

245

Parametric spectral analysis of malaria gene expression time series data  

Science Conference Proceedings (OSTI)

Spectral analysis of DNA microarray gene expressions time series data is important for understanding the regulation of gene expression and gene function of the Plasmodium falciparum in the intraerythrocytic developmental cycle. In this paper, ... Keywords: autoregressive model, microarray time series analysis, plasmodium falciparum, singular spectrum analysis, spectral estimation

Liping Du; Shuanhu Wu; Alan Wee-Chung Liew; David Keith Smith; Hong Yan

2006-09-01T23:59:59.000Z

246

Chaotic time series forecasting using locally quadratic fuzzy neural models  

Science Conference Proceedings (OSTI)

Time series forecasting in highly nonlinear and chaotic systems is a challenging research area with a variety of applications in economics, environmental sciences and various fields of engineering. This paper presents a novel Locally Quadratic Fuzzy ... Keywords: chaotic time series, forecasting, locally quadratic neural fuzzy model

Mohammad J. Mahjoob; Majid Abdollahzade; Reza Zarringhalam; Ahmad Kalhor

2008-05-01T23:59:59.000Z

247

Large margin mixture of AR models for time series classification  

Science Conference Proceedings (OSTI)

In this paper, we propose the large margin autoregressive (LMAR) model for classification of time series patterns. The parameters of the generative AR models for different classes are estimated using the margin of the boundaries of AR models as the optimization ... Keywords: Generative and discriminative hybrid models, Large margin autoregressive model, Large margin mixture autoregressive model, Outlier detection, Rejection option, Time series classification

B. Venkataramana Kini; C. Chandra Sekhar

2013-01-01T23:59:59.000Z

248

A Study on Training Criteria for Financial Time Series Forecasting  

E-Print Network (OSTI)

A Study on Training Criteria for Financial Time Series Forecasting JingTao YAO Dept of Information on goodness-of-fit which is also the most popular criterion forecasting. How ever, in the context of financial time series forecasting, we are not only concerned at how good the forecasts fit their target. In order

Yao, JingTao

249

Time Series Analysis and Forecasting in Stock Market Investments  

E-Print Network (OSTI)

Time Series Analysis and Forecasting in Stock Market Investments Ted Chi-Wei Fung Department and forecasting have been used as methods to help precisely on the task of stock market prediction by using past data. This paper will discuss three different models to create a time series analysis and forecast

Zanibbi, Richard

250

Short term wind power forecasting using time series neural networks  

Science Conference Proceedings (OSTI)

Forecasting wind power energy is very important issue in a liberalized market and the prediction tools can make wind energy be competitive in these kinds of markets. This paper will study an application of time-series and neural network for predicting ... Keywords: neural networks, time series, wind power forecasting

Mohammadsaleh Zakerinia; Seyed Farid Ghaderi

2011-04-01T23:59:59.000Z

251

A new class of hybrid models for time series forecasting  

Science Conference Proceedings (OSTI)

Applying quantitative models for forecasting and assisting investment decision making has become more indispensable in business practices than ever before. Improving forecasting especially time series forecasting accuracy is an important yet often difficult ... Keywords: Artificial neural networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Hybrid models, Probabilistic neural networks (PNNs), Time series forecasting

Mehdi Khashei; Mehdi Bijari

2012-03-01T23:59:59.000Z

252

Time Series Momentum Trading Strategy and Autocorrelation Amplification  

E-Print Network (OSTI)

Time Series Momentum Trading Strategy and Autocorrelation Amplification K. J. Hong and S. Satchell June 2013 CWPE 1322 1 Time Series Momentum Trading Strategy and Autocorrelation Amplification... K. J. Honga,* and S. Satchellb Current Version: May 23, 2013 a University Technology of Sydney, Ultimo Rd, Haymarket NSW 2000, Australia b Trinity College, University of Cambridge, Address: Trinity College, Cambridge, CB2 1TQ, U...

Hong, K. J.; Satchell, S.

2013-06-18T23:59:59.000Z

253

A Sparse Regression Mixture Model for Clustering Time-Series  

Science Conference Proceedings (OSTI)

In this study we present a new sparse polynomial regression mixture model for fitting time series. The contribution of this work is the introduction of a smoothing prior over component regression coefficients through a Bayesian framework. This is done ... Keywords: Clustering time-series, Expectation-Maximization (EM) algorithm, Regression mixture model, sparse prior

K. Blekas; Nikolaos Galatsanos; A. Likas

2008-10-01T23:59:59.000Z

254

Comparing non-stationary and irregularly spaced time series  

Science Conference Proceedings (OSTI)

In this paper, we present approximate distributions for the ratio of the cumulative wavelet periodograms considering stationary and non-stationary time series generated from independent Gaussian processes. We also adapt an existing procedure to use this ... Keywords: Distributions of quadratic forms, Hypothesis testing, Irregularly spaced time series, Locally stationary wavelet processes, Multiresolution approximation

Gladys E. Salcedo; RogRio F. Porto; Pedro A. Morettin

2012-12-01T23:59:59.000Z

255

Analysis of Long Time Series of Coastal Wind  

Science Conference Proceedings (OSTI)

A study of a 14-yr time series of wind speed recorded on the coast outside the city of Trondheim in middle Norway is presented. Analysis of the time series shows that in this area there is, in general, no gap in the wind speed power spectrum in ...

Tore Heggem; Rune Lende; Jrgen Lvseth

1998-09-01T23:59:59.000Z

256

Hypothesis testing for auto-correlated short climate time series  

Science Conference Proceedings (OSTI)

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

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

257

A new time-invariant fuzzy time series forecasting method based on genetic algorithm  

Science Conference Proceedings (OSTI)

In recent years, many fuzzy time series methods have been proposed in the literature. Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. Because of this problem, many studies ...

Erol E?rio?lu

2012-01-01T23:59:59.000Z

258

Homogenization of Radiosonde Temperature Time Series Using Innovation Statistics  

Science Conference Proceedings (OSTI)

Radiosonde temperature records contain valuable information for climate change research from the 1940s onward. Since they are affected by numerous artificial shifts, time series homogenization efforts are required. This paper introduces a new ...

Leopold Haimberger

2007-04-01T23:59:59.000Z

259

Generating Scenarios of Local Surface Temperature Using Time Series Methods  

Science Conference Proceedings (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

260

Bayesian Mixture of AR Models for Time Series Clustering  

Science Conference Proceedings (OSTI)

In this paper we propose a Bayesian framework for estimation of parameters of a mixture of autoregressive model, for time series clustering. The proposed approach is based on variational principles and provides a tractable approximation to the true posterior ...

Venkataramana Kini B; C. Chandra Sekhar

2009-02-01T23:59:59.000Z

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.


261

Eyeballing Trends in Climate Time Series: A Cautionary Note  

Science Conference Proceedings (OSTI)

In examining a plot of a time series of a scalar climate variable for indications of climate change, an investigator might pick out what appears to be a linear trend commencing near the end of the record. Visual determination of the starting time ...

Donald B. Percival; D. Andrew Rothrock

2005-03-01T23:59:59.000Z

262

Detection of trend changes in time series using Bayesian inference  

E-Print Network (OSTI)

Change points in time series are perceived as isolated singularities where two regular trends of a given signal do not match. The detection of such transitions is of fundamental interest for the understanding of the system's internal dynamics. In practice observational noise makes it difficult to detect such change points in time series. In this work we elaborate a Bayesian method to estimate the location of the singularities and to produce some confidence intervals. We validate the ability and sensitivity of our inference method by estimating change points of synthetic data sets. As an application we use our algorithm to analyze the annual flow volume of the Nile River at Aswan from 1871 to 1970, where we confirm a well-established significant transition point within the time series.

Schtz, Nadine

2011-01-01T23:59:59.000Z

263

Complexity analysis of the turbulent environmental fluid flow time series  

E-Print Network (OSTI)

We have used the Kolmogorov complexities, sample and permutation entropies to quantify the randomness degree in river flow time series of two mountain rivers in Bosnia and Herzegovina, representing the turbulent environmental fluid, for the period 1926-1990. In particular, we have examined the monthly river flow time series from two rivers (Miljacka and Bosnia) in mountain part of their flow and then calculated the Kolmogorov Complexity (KL) based on the Lempel-Ziv Algorithm (LZA) (Lower - KLL and Upper - KLU), Sample Entropy (SE) and Permutation Entropy (PE) values for each time series. The results indicate that the KLL, KLU, SE and PE values in two rivers are close to each other regardless of the amplitude differences in their monthly flow rates. We have illustrated the changes in mountain river flow complexity by experiments using (i) the data set for the Bosnia River and (ii) anticipated human activities and projected climate changes. We have explored the sensitivity of considered measures in dependence on the length of time series. In addition, we have divided the period 1926-1990 into three sub-intervals: (a) 1926-1945, (b)1946-1965 and (c)1966-1990, and calculated the KLL, KLU, SE and PE values for the various time series in these sub-intervals. It is found that during the period 1946-1965, there is a decrease in their complexities, and corresponding changes in the SE and PE, in comparison to the period 1926-1990. This complexity loss may be primarily attributed to (i) human interventions, after Second World War, on these rivers because of their use for water consumption and (ii) climate change in recent time.

Dragutin T. Mihailovic; Emilija Nikolic-Djoric; Nusret Dreskovic; Gordan Mimic

2013-01-10T23:59:59.000Z

264

Extracting biochemical reaction kinetics from time series data  

E-Print Network (OSTI)

Abstract. We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics we develop global nonlinear models which use elementary reactions as a basis set, and discuss model construction using top-down and bottom-up approaches. 1

Edmund J. Crampin; Patrick E. Mcsharry; Santiago Schnell

2004-01-01T23:59:59.000Z

265

Estimating the Correlation Dimension of Atmospheric Time Series  

Science Conference Proceedings (OSTI)

The correlation dimension D is commonly used to quantify the chaotic structure of atmospheric time series. The standard algorithm for estimating the value of D is based on finding the slope of the curve obtained by plotting ln C(r) versus ln r, ...

Hampton N. Shirer; Christian J. Fosmire; Robert Wells; Laurentia Suciu

1997-01-01T23:59:59.000Z

266

Investigating asymptotic properties of vector nonlinear time series models  

Science Conference Proceedings (OSTI)

Analyses and simulations of vector nonlinear time series typically run into weeks or even months because the methods used are computationally intensive. Statisticians have been known to base empirical results on a relatively small number of simulation ... Keywords: Dynamic loop scheduling, Vector FCAR models

Ioana Banicescu; Ricolindo L. CariO; Jane L. Harvill; John Patrick Lestrade

2011-09-01T23:59:59.000Z

267

Time series of count data: modeling, estimation and diagnostics  

Science Conference Proceedings (OSTI)

Various models for time series of counts which can account for discreteness, overdispersion and serial correlation are compared. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, a dynamic ordered ... Keywords: Efficient importance sampling, Markov chain Monte Carlo, Observation-driven model, Ordered probit, Parameter-driven model

Robert C. Jung; Martin Kukuk; Roman Liesenfeld

2006-12-01T23:59:59.000Z

268

Analyses of Inhomogeneities in Radiosonde Temperature and Humidity Time Series  

Science Conference Proceedings (OSTI)

Twice daily radiosonde data from selected stations in the United States (period 1948 to 1990) and China (period 1958 to 1990) were sorted into time series. These stations have one sounding taken in darkness and the other in sunlight. The analysis ...

Panmao Zhai; Robert E. Eskridge

1996-04-01T23:59:59.000Z

269

Distribution Based Data Filtering for Financial Time Series Forecasting  

E-Print Network (OSTI)

of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain/selling strategies to gain competitive advantage. Classic and popular methods for stock price forecasting [3Distribution Based Data Filtering for Financial Time Series Forecasting Goce Ristanoski1 , James

Bailey, James

270

TaSe model for long term time series forecasting  

Science Conference Proceedings (OSTI)

There exists a wide range of paradigms and a high number of different methodologies applied to the problem of Time Series Prediction. Most of them are presented as a modified function approximation problem using I/O data, in which the input data is expanded ...

Luis Javier Herrera; Hctor Pomares; Ignacio Rojas; Alberto Guilln; Olga Valenzuela; Alberto Prieto

2005-06-01T23:59:59.000Z

271

Moored Salinity Time Series Measurements at 0, 140W  

Science Conference Proceedings (OSTI)

This study describes moored salinity time series measurements in a biologically productive equatorial upwelling regime in the Pacific Ocean (0, 140W). Data were collected at 26 m and at 100 m for 13 months during 19871988 using four SEACAT ...

Michael J. McPhaden; H. Paul Freitag; Andrew J. Shepherd

1990-08-01T23:59:59.000Z

272

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

Science Conference Proceedings (OSTI)

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

273

Faster and parameter-free discord search in quasi-periodic time series  

Science Conference Proceedings (OSTI)

Time series discord has proven to be a useful concept for time-series anomaly identification. To search for discords, various algorithms have been developed. Most of these algorithms rely on pre-building an index (such as a trie) for subsequences. Users ... Keywords: anomaly detection, minimax search, periodic time series, time series data mining, time series discord

Wei Luo; Marcus Gallagher

2011-05-01T23:59:59.000Z

274

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

275

Time Series, Stochastic Processes and Completeness of Quantum Theory  

Science Conference Proceedings (OSTI)

Most of physical experiments are usually described as repeated measurements of some random variables. Experimental data registered by on?line computers form time series of outcomes. The frequencies of different outcomes are compared with the probabilities provided by the algorithms of quantum theory (QT). In spite of statistical predictions of QT a claim was made that it provided the most complete description of the data and of the underlying physical phenomena. This claim could be easily rejected if some fine structures

2011-01-01T23:59:59.000Z

276

Complexity analysis of the UV radiation dose time series  

E-Print Network (OSTI)

We have used the Lempel-Ziv and sample entropy measures to assess the complexity in the UV radiation activity in the Vojvodina region (Serbia) for the period 1990-2007. In particular, we have examined the reconstructed daily sum (dose) of the UV-B time series from seven representative places in this region and calculated the Lempel-Ziv Complexity (LZC) and Sample Entropy (SE) values for each time series. The results indicate that the LZC values in some places are close to each other while in others they differ. We have devided the period 1990-2007 into two subintervals: (a) 1990-1998 and (b) 1999-2007 and calculated LZC and SE values for the various time series in these subintervals. It is found that during the period 1999-2007, there is a decrease in their complexities, and corresponding changes in the SE, in comparison to the period 1990-1998. This complexity loss may be attributed to increased (i) human intervention in the post civil war period (land and crop use and urbanization) and military activities i...

Mihailovic, Dragutin T

2013-01-01T23:59:59.000Z

277

Classification of Multi-Dimensional Streaming Time Series by Weighting each Classifier's Track Record  

E-Print Network (OSTI)

increasingly, home-based) medical devices can produce time series streams from more than twenty sensors

Keogh, Eammon

278

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations  

Science Conference Proceedings (OSTI)

A given observation in time series does not only depend on preceding one but also previous ones in general. Therefore, high order fuzzy time series approach might obtain better forecasts than does first order fuzzy time series approach. Defining fuzzy ... Keywords: Forecasting, Fuzzy relation, Fuzzy set, High order fuzzy time series, Neural networks

Cagdas H. Aladag; Murat A. Basaran; Erol Egrioglu; Ufuk Yolcu; Vedide R. Uslu

2009-04-01T23:59:59.000Z

279

A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export  

Science Conference Proceedings (OSTI)

This study compares the application of two forecasting methods on the amount of Taiwan export, the ARIMA time series method and the fuzzy time series method. Models discussed for the fuzzy time series method include the Factor models, the Heuristic models, ... Keywords: ARIMA model, Fuzzy time series, Taiwan export

Chi-Chen Wang

2011-08-01T23:59:59.000Z

280

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

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

Nonparametric inference of quantile curves for nonstationary time series  

E-Print Network (OSTI)

The paper considers nonparametric specification tests of quantile curves for a general class of nonstationary processes. Using Bahadur representation and Gaussian approximation results for nonstationary time series, simultaneous confidence bands and integrated squared difference tests are proposed to test various parametric forms of the quantile curves with asymptotically correct type I error rates. A wild bootstrap procedure is implemented to alleviate the problem of slow convergence of the asymptotic results. In particular, our results can be used to test the trends of extremes of climate variables, an important problem in understanding climate change. Our methodology is applied to the analysis of the maximum speed of tropical cyclone winds. It was found that an inhomogeneous upward trend for cyclone wind speeds is pronounced at high quantile values. However, there is no trend in the mean lifetime-maximum wind speed. This example shows the effectiveness of the quantile regression technique.

Zhou, Zhou

2010-01-01T23:59:59.000Z

282

Improved forecasting of time series data of real system using genetic programming  

Science Conference Proceedings (OSTI)

A study is made to improve short term forecasting of time series data of real system using Genetic Programming (GP) under the framework of time delayed embedding technique. GP based approach is used to make analytical model of time series data of real ... Keywords: genetic programming, state-space reconstruction, time series forecasting

Dilip P. Ahalpara

2010-07-01T23:59:59.000Z

283

Independent arrays or independent time courses for gene expression time series data analysis  

Science Conference Proceedings (OSTI)

In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene expression time series data and compare their performance in clustering genes ... Keywords: DNA microarray, Gene expression data, Independent component analysis, Principal component analysis

Sookjeong Kim; Jong Kyoung Kim; Seungjin Choi

2008-06-01T23:59:59.000Z

284

Forecasting Financial Time-Series using Artificial Market Models  

E-Print Network (OSTI)

We discuss the theoretical machinery involved in predicting financial market movements using an artificial market model which has been trained on real financial data. This approach to market prediction - in particular, forecasting financial time-series by training a third-party or 'black box' game on the financial data itself -- was discussed by Johnson et al. in cond-mat/0105303 and cond-mat/0105258 and was based on some encouraging preliminary investigations of the dollar-yen exchange rate, various individual stocks, and stock market indices. However, the initial attempts lacked a clear formal methodology. Here we present a detailed methodology, using optimization techniques to build an estimate of the strategy distribution across the multi-trader population. In contrast to earlier attempts, we are able to present a systematic method for identifying 'pockets of predictability' in real-world markets. We find that as each pocket closes up, the black-box system needs to be 'reset' - which is equivalent to sayi...

Gupta, N; Johnson, N F; Gupta, Nachi; Hauser, Raphael; Johnson, Neil F.

2005-01-01T23:59:59.000Z

285

Estimating the predictability of economic and financial time series  

E-Print Network (OSTI)

The predictability of a time series is determined by the sensitivity to initial conditions of its data generating process. In this paper our goal is to characterize this sensitivity from a finite sample by assuming few hypotheses on the data generating model structure. In order to measure the distance between two trajectories induced by a same noisy chaotic dynamic from two close initial conditions, a symmetric Kullback-Leiber divergence measure is used. Our approach allows to take into account the dependence of the residual variance on initial conditions. We show it is linked to a Fisher information matrix and we investigated its expressions in the cases of covariance-stationary processes and ARCH($\\infty$) processes. Moreover, we propose a consistent non-parametric estimator of this sensitivity matrix in the case of conditionally heteroscedastic autoregressive nonlinear processes. Various statistical hypotheses can so be tested as for instance the hypothesis that the data generating process is "almost" independently distributed at a given moment. Applications to simulated data and to the stock market index S&P500 illustrate our findings. More particularly, we highlight a significant relationship between the sensitivity to initial conditions of the daily returns of the S&P 500 and their volatility.

Quentin Giai Gianetto; Jean-Marc Le Caillec; Erwan Marrec

2012-12-12T23:59:59.000Z

286

An Algorithm for Classification and Outlier Detection of Time-Series Data  

Science Conference Proceedings (OSTI)

An algorithm to perform outlier detection on time-series data is developed, the intelligent outlier detection algorithm (IODA). This algorithm treats a time series as an image and segments the image into clusters of interest, such as nominal ...

R. Andrew Weekley; Robert K. Goodrich; Larry B. Cornman

2010-01-01T23:59:59.000Z

287

The Application of Time Series Models to Cloud Field Morphology Analysis  

Science Conference Proceedings (OSTI)

A modeling method for the quantitative description of remotely sensed cloud field images is presented. A two-dimensional texture modeling scheme based on one-dimensional time series procedures is adopted for this purpose. The time series ...

Roland T. Chin; Jack Y. C. Jau; James A. Weinman

1987-03-01T23:59:59.000Z

288

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching  

Science Conference Proceedings (OSTI)

In this paper we propose a method for nonlinear time series pattern matching: "Multi-Scale Kernel Latent Variable (MSKLV) models". The pattern matching methodology includes multi-scale analysis using wavelet decomposition of time series and finding latent ...

B. Venkataramana Kini; C. Chandra Sekhar

2008-01-01T23:59:59.000Z

289

Bermudas Tale of Two Time Series: Hydrostation S and BATS  

Science Conference Proceedings (OSTI)

This paper describes the oceanic variability at Bermuda between 1989 and 1999, recorded in two overlapping hydrographic time series. Station S and Bermuda Atlantic Time Series Study (BATS), which are 60 km apart, both show that a multidecadal ...

Helen E. Phillips; Terrence M. Joyce

2007-03-01T23:59:59.000Z

290

Regime-Dependent Autoregressive Time Series Modeling of the Southern Oscillation  

Science Conference Proceedings (OSTI)

The class of regime dependent autoregressive time series models (RAMs) is introduced. These nonlinear models describe variations of the moments of nonstationary time series by allowing parameter values to change with the state of an ancillary ...

Francis Zwiers; Hans Von Storch

1990-12-01T23:59:59.000Z

291

A hybrid neural network and ARIMA model for water quality time series prediction  

Science Conference Proceedings (OSTI)

Accurate predictions of time series data have motivated the researchers to develop innovative models for water resources management. Time series data often contain both linear and nonlinear patterns. Therefore, neither ARIMA nor neural networks can be ... Keywords: ARIMA, Backpropagation, Hybrid model, Neural networks, Time series

Durdu mer Faruk

2010-06-01T23:59:59.000Z

292

VTG schemes for using back propagation for multivariate time series prediction  

Science Conference Proceedings (OSTI)

This research proposes the three schemes of estimating and adding mid-terms to multivariate time series. In this research, the back propagation is adopted as the approach to multivariate time series prediction. It is traditionally designed for the task ... Keywords: Multivariate time series prediction, Neural networks, Virtual terms

Taeho Jo

2013-05-01T23:59:59.000Z

293

Optimizing the extreme learning machine using harmony search for hydrologic time series forecasting  

Science Conference Proceedings (OSTI)

Lately, the research related to time series forecasting has been an area of considerable interest in different fields. It is very important to predict the behavior of the time series but it is not an easy task. Several models to aim this issue have been ... Keywords: extreme learning machine, harmony search, hybrid intelligent system, time series forecasting

Ivna Valena; Muser Valena

2012-08-01T23:59:59.000Z

294

An adaptive algorithm for online time series segmentation with error bound guarantee  

Science Conference Proceedings (OSTI)

The volume of time series data grows rapidly in various applications such as network traffic management, telecommunications, finance and sensor network. To reduce the cost of storage, transmission and processing of time series data, the need for more ... Keywords: approximation, segmentation, time series

Zhenghua Xu; Rui Zhang; Ramamohanarao Kotagiri; Udaya Parampalli

2012-03-01T23:59:59.000Z

295

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks  

Science Conference Proceedings (OSTI)

Neural networks have been widely used for short-term, and to a lesser degree medium and long-term, demand forecasting. In the majority of cases for the latter two applications, multivariate modeling was adopted, where the demand time series is related ... Keywords: Abductive networks, Energy demand, Medium-term load forecasting, Neural networks, Time series forecasting, Univariate time series analysis

R. E. Abdel-Aal

2008-05-01T23:59:59.000Z

296

Stylized facts of financial time series and hidden semi-Markov models  

Science Conference Proceedings (OSTI)

Hidden Markov models reproduce most of the stylized facts about daily series of returns. A notable exception is the inability of the models to reproduce one ubiquitous feature of such time series, namely the slow decay in the autocorrelation function ... Keywords: Daily return series, EM algorithm, Hidden Markov model, Hidden semi-Markov model, Right-censoring, Sojourn time distribution

Jan Bulla; Ingo Bulla

2006-12-01T23:59:59.000Z

297

hal-00122749,version1-8Jan2007 Time Series Forecasting: Obtaining Long Term Trends with  

E-Print Network (OSTI)

. For example when forecast- ing an electrical consumption, it could be advan- tageous to predict all hourly As second example, we use the Polish electrical load time series [ 6]. This series contains hourly valueshal-00122749,version1-8Jan2007 Time Series Forecasting: Obtaining Long Term Trends with Self

Paris-Sud XI, Université de

298

Double SOM for long-term time series prediction Geoffroy Simon1  

E-Print Network (OSTI)

-term prediction, self-organizing maps, Santa Fe, electrical load Abstract --- Many time series forecasting, the Santa Fe A series and a problem of electrical load forecasting. 2 Time series prediction The classical in one bloc, rather than a single t+1 scalar value. For example, in an electrical load forecasting

Paris-Sud XI, Université de

299

Bayesian Variable Selection for Nowcasting Economic Time Series  

E-Print Network (OSTI)

motivation Want to use Google Trends data to nowcast economic series unemployment may be predicted by "job;Avoid spurious regression How to control for trend and seasonality? Build a model for the predictable-chosen contemporaneous regressors from Google Trends non-seasonal AR1: yt = a1yt-1 + bxt + et seasonal AR1: yt = a1yt-1

Varian, Hal R.

300

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

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

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

Kevin Widener; Nitin Bharadwaj; Karen Johnson

302

Long-term time series prediction with the NARX network: An empirical evaluation  

Science Conference Proceedings (OSTI)

The NARX network is a dynamical neural architecture commonly used for input-output modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX network is designed as a feedforward time delay neural network (TDNN), i.e., ... Keywords: Chaotic time series, Long-term prediction, NARX neural network, Nonlinear traffic modeling, Recurrence plot

Jos Maria P. Menezes, Jr.; Guilherme A. Barreto

2008-10-01T23:59:59.000Z

303

Different Approaches to Forecast Interval Time Series: A Comparison in Finance  

Science Conference Proceedings (OSTI)

An interval time series (ITS) is a time series where each period is described by an interval. In finance, ITS can describe the temporal evolution of the high and low prices of an asset throughout time. These price intervals are related to the concept ... Keywords: Artificial neural networks, Exponential smoothing, Interval arithmetic, Interval data, Nearest neighbors methods, Vector autoregressive models

Javier Arroyo; Rosa Espnola; Carlos Mat

2011-02-01T23:59:59.000Z

304

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, California- Performance Evaluation And Role Of Meteorological Forcing Jump to: navigation, search GEOTHERMAL...

305

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

306

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

307

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series  

Science Conference Proceedings (OSTI)

In many real world problems, the existence of irrelevant input variables (features) hinders the predictive quality of the models used to estimate the output variables. In particular, time series prediction often involves building large regressors of ... Keywords: Approximate k-nearest neighbors, Delta test, Genetic algorithm, Time series, Variable projection, Variable scaling, Variable selection

Fernando Mateo; Duan Sovilj; Rafael Gadea

2010-06-01T23:59:59.000Z

308

A test for second order stationarity of a time series based on the Discrete Fourier Transform  

E-Print Network (OSTI)

A test for second order stationarity of a time series based on the Discrete Fourier Transform property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic is approximately a chi square distribution

Subba Rao, Suhasini

309

Classification of Multivariate Time Series and Structured Data Using Constructive Induction  

Science Conference Proceedings (OSTI)

We present a method of constructive induction aimed at learning tasks involving multivariate time series data. Using metafeatures, the scope of attribute-value learning is expanded to domains with instances that have some kind of recurring substructure, ... Keywords: constructive induction, propositionalisation, substructure, time series

Mohammed Waleed Kadous; Claude Sammut

2005-02-01T23:59:59.000Z

310

Identification of time series model of heat demand using mathematica environment  

Science Conference Proceedings (OSTI)

The paper presents possibility of model design of time series of heat demand course. The course of heat demand and heat consumption can be demonstrated by means of heat demand diagrams. The most important one is the Daily Diagram of Heat Supply (DDHS) ... Keywords: box-jenkins, control algorithms, district heating control, modelling, prediction, time series analysis

Bronislav Chramcov

2011-05-01T23:59:59.000Z

311

Comparing statistical and neural network approaches for urban air pollution time series analysis  

Science Conference Proceedings (OSTI)

The paper presents an analysis of the performances obtained by using an artificial neural networks model and several statistical models for urban air quality forecasting. The time series of monthly averages concentrations (Sedimentable Dusts, Total Suspended ... Keywords: ARIMA, back-propagation, feed-forward neural network, statistical models, time series, urban air quality

Daniel Dunea; Mihaela Oprea; Emil Lungu

2008-02-01T23:59:59.000Z

312

On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and Hydrometeorology  

Science Conference Proceedings (OSTI)

In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the ...

T. M. L. Wigley; K. R. Briffa; P. D. Jones

1984-02-01T23:59:59.000Z

313

Aggregation of asynchronous electric power consumption time series knowing the integral  

Science Conference Proceedings (OSTI)

More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data warehouses often contain asynchronous time series, i.e. the values have ...

Raja Chiky; Laurent Decreusefond; Georges Hbrail

2010-03-01T23:59:59.000Z

314

Hybridization of intelligent techniques and ARIMA models for time series prediction  

Science Conference Proceedings (OSTI)

Traditionally, the autoregressive moving average (ARMA) model has been one of the most widely used linear models in time series prediction. Recent research activities in forecasting with artificial neural networks (ANNs) suggest that ANNs can be a promising ... Keywords: ARIMA models, Fuzzy systems, Hybrid system, Neural networks, Time series

O. Valenzuela; I. Rojas; F. Rojas; H. Pomares; L. J. Herrera; A. Guillen; L. Marquez; M. Pasadas

2008-04-01T23:59:59.000Z

315

Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis  

E-Print Network (OSTI)

Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis Achintya of lean blowout in gas turbine combustors based on symbolic analysis of time series data from optical. For the purpose of detecting lean blowout in gas turbine combustors, the state probability vector obtained

Ray, Asok

316

EOFs of One-Dimensional Cyclostationary Time Series: Computations, Examples, and Stochastic Modeling  

Science Conference Proceedings (OSTI)

Many climatic time series seem to be a mixture of unpredictable fluctuations and changes that occur at a known frequency, as in the case of the annual cycle. Such a time series is called a cyclostationary process. The lagged covariance statistics ...

Kwang-Y. Kim; Gerald R. North; Jianping Huang

1996-04-01T23:59:59.000Z

317

Fast algorithms for time series with applications to finance, physics, music, biology, and other suspects  

Science Conference Proceedings (OSTI)

Financial time series streams are watched closely by millions of traders. What exactly do they look for and how can we help them do it faster? Physicists study the time series emerging from their sensors. The same question holds for them. Musicians produce ...

Alberto Lerner; Dennis Shasha; Zhihua Wang; Xiaojian Zhao; Yunyue Zhu

2004-06-01T23:59:59.000Z

318

Mining pixel evolutions in satellite image time series for agricultural monitoring  

Science Conference Proceedings (OSTI)

In this paper, we present a technique to help the experts in agricultural monitoring, by mining Satellite Image Time Series over cultivated areas. We use frequent sequential patterns extended to this spatiotemporal context in order to extract sets of ... Keywords: agricultural monitoring, constraints, satellite image time series, spatiotemporal patterns

Andreea Julea; Nicolas Mger; Christophe Rigotti; Emmanuel Trouv; Philippe Bolon; Vasile L?z?rescu

2011-08-01T23:59:59.000Z

319

Time Series Prediction of Mining Subsidence Based on Genetic Algorithm Neural Network  

Science Conference Proceedings (OSTI)

In order to find out the dynamics law of underground coal mining subsidence, BP neural network was used for time series prediction. First, genetic algorithm was used to optimize the initial network weight to overcome the inherent defects of BP neural ... Keywords: Mining subsidence, time series, BP neural network, genetic algorithm

Peixian Li; Zhixiang Tan; Lili Yan; Kazhong Deng

2011-07-01T23:59:59.000Z

320

Defining and applying prediction performance metrics on a recurrent NARX time series model  

Science Conference Proceedings (OSTI)

Nonlinear autoregressive moving average with exogenous inputs (NARMAX) models have been successfully demonstrated for modeling the input-output behavior of many complex systems. This paper deals with the proposition of a scheme to provide time series ... Keywords: NARX models, Prediction performance metrics, Recurrent radial basis function network, Time series prediction

Ryad Zemouri; Rafael Gouriveau; Noureddine Zerhouni

2010-08-01T23:59:59.000Z

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.


321

Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding  

Science Conference Proceedings (OSTI)

A fast and exact procedure for the numerical synthesis of stationary multivariate Gaussian time series with a priori prescribed and well controlled auto- and cross-covariance functions is proposed. It is based on extending the circulant embedding technique ... Keywords: Circulant embedding, Multivariate Gaussian series, Numerical synthesis, Stationarity, Time-reversibility

Hannes Helgason; Vladas Pipiras; Patrice Abry

2011-05-01T23:59:59.000Z

322

Discovery of temporal variation of arsenic in a historical blackfoot disease territory by time series analysis  

Science Conference Proceedings (OSTI)

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 ... Keywords: arsenic, data mining, groundwater management, time series analysis, water quality

Jan-Yee Lee; Ting-Nien Wu

2009-08-01T23:59:59.000Z

323

Discovery of Temporal Variation of Arsenic in a Historical Blackfoot Disease Territory by Time Series Analysis  

Science Conference Proceedings (OSTI)

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 ... Keywords: groundwater management, data mining, time series analysis, arsenic, water quality

Jan-Yee Lee; Ting-Nien Wu

2009-08-01T23:59:59.000Z

324

A geometrical solution to time series searching invariant to shifting and scaling  

Science Conference Proceedings (OSTI)

The technique of searching for similar patterns among time series data is very useful in many applications. The problem becomes difficult when shifting and scaling are considered. We find that we can treat the problem geometrically and the major contribution ... Keywords: information search and retrieval, similarity search, spatial indexing, time series database

Mi Zhou; Man-Hon Wong; Kam-Wing Chu

2006-02-01T23:59:59.000Z

325

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting  

Science Conference Proceedings (OSTI)

Improving forecasting especially time series forecasting accuracy is an important yet often difficult task facing decision makers in many areas. Both theoretical and empirical findings have indicated that integration of different models can be an effective ... Keywords: Artificial neural networks (ANNs), Auto-regressive integrated moving average (ARIMA), Hybrid models, Time series forecasting

Mehdi Khashei; Mehdi Bijari

2011-03-01T23:59:59.000Z

326

A prediction method for time series based on wavelet neural networks  

Science Conference Proceedings (OSTI)

This paper introduces a prediction method for time series that is based on the multi-resolution analysis of wavelets (MRA). The MRA is better able to decompose the non-stationary time series of nonlinear systems into different components, allowing a ...

Xiaobing Gan; Ying Liu; Francis R. Austin

2005-12-01T23:59:59.000Z

327

Statistical properties of information flow in financial time series  

E-Print Network (OSTI)

In this study, we tested possible factors that influence the information flow in the stock market. The time dependency, market factors, and market status were assessed using the Korean and US stock market data. We determined that all tested factors were significantly related to the information flow between stocks. Additionally, we have employed an original network consisting of stocks and networks by the minimal spanning tree (MST) method, in order to find a alternative method by which we could effectively investigate the characteristics of information flow between stocks. The empirical evidences gathered using $N-1$ links by the MST method did not differ when $N(N-1)/2$ whole links by the original network were used. These results indicate that links selected via the MST method may be reflective of meaningful characteristics of information flow between stocks in the market.

Eom, Cheoljun; Jung, Woo-Sung

2008-01-01T23:59:59.000Z

328

Engine Control Improvement through Application of Chaotic Time Series Analysis  

SciTech Connect

The objective of this program was to investigate cyclic variations in spark-ignition (SI) engines under lean fueling conditions and to develop options to reduce emissions of nitrogen oxides (NOx) and particulate matter (PM) in compression-ignition direct-injection (CIDI) engines at high exhaust gas recirculation (EGR) rates. The CIDI activity builds upon an earlier collaboration between ORNL and Ford examining combustion instabilities in SI engines. Under the original CRADA, the principal objective was to understand the fundamental causes of combustion instability in spark-ignition engines operating with lean fueling. The results of this earlier activity demonstrated that such combustion instabilities are dominated by the effects of residual gas remaining in each cylinder from one cycle to the next. A very simple, low-order model was developed that explained the observed combustion instability as a noisy nonlinear dynamical process. The model concept lead to development of a real-time control strategy that could be employed to significantly reduce cyclic variations in real engines using existing sensors and engine control systems. This collaboration led to the issuance of a joint patent for spark-ignition engine control. After a few years, the CRADA was modified to focus more on EGR and CIDI engines. The modified CRADA examined relationships between EGR, combustion, and emissions in CIDI engines. Information from CIDI engine experiments, data analysis, and modeling were employed to identify and characterize new combustion regimes where it is possible to simultaneously achieve significant reductions in NOx and PM emissions. These results were also used to develop an on-line combustion diagnostic (virtual sensor) to make cycle-resolved combustion quality assessments for active feedback control. Extensive experiments on engines at Ford and ORNL led to the development of the virtual sensor concept that may be able to detect simultaneous reductions in NOx and PM emissions under low temperature combustion (LTC) regimes. An invention disclosure was submitted to ORNL for the virtual sensor under the CRADA. Industrial in-kind support was available throughout the project period. Review of the research results were carried out on a regular basis (annual reports and meetings) followed by suggestions for improvement in ongoing work and direction for future work. A significant portion of the industrial support was in the form of experimentation, data analysis, data exchange, and technical consultation.

Green, J.B., Jr.; Daw, C.S.

2003-07-15T23:59:59.000Z

329

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester Time Series 2 hours  

E-Print Network (OSTI)

to University regulations. There are 99 marks available on the paper. Please leave this exam paper on your desk time series and their relationship, using suitable technical terms and adding approximate quanti series model Xt = 1 3 Xt-1 + t + 1 2 t-1 - 1 4 t-2, where t is white noise with variance 4. (i) Explain

Oakley, Jeremy

330

Use of a Principal Components Analysis for the Generation of Daily Time Series  

Science Conference Proceedings (OSTI)

A new approach for generating daily time series is considered in response to the weather-derivatives market. This approach consists of performing a principal components analysis to create independent variables, the values of which are then ...

Christine Dreveton; Yann Guillou

2004-07-01T23:59:59.000Z

331

A New StatisticalDynamical Downscaling Procedure Based on EOF Analysis for Regional Time Series Generation  

Science Conference Proceedings (OSTI)

A new statisticaldynamical downscaling procedure is developed and then applied to high-resolution (regional) time series generation and wind resource assessment. The statistical module of the new procedure uses empirical orthogonal function (EOF) ...

Yosvany Martinez; Wei Yu; Hai Lin

2013-04-01T23:59:59.000Z

332

High performance data mining in time series: techniques and case studies  

Science Conference Proceedings (OSTI)

As extremely large time series data sets grow more prevalent in a wide variety of settings, we face the significant challenge of developing efficient analysis methods. This dissertation addresses the problem in designing fast, scalable algorithms for ...

Yunyue Zhu / Dennis Shasha

2004-01-01T23:59:59.000Z

333

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction  

Science Conference Proceedings (OSTI)

In this paper we present a novel approach for nonlinear time series prediction using Kernel methods. The kernel methods such as Support Vector Machine(SVM) and Support Vector Regression(SVR) deal with nonlinear problems assuming independent and identically ...

Venkataramana B. Kini; C. Chandra Sekhar

2007-03-01T23:59:59.000Z

334

Inferring mechanism from time-series data: Delay-differential equations  

E-Print Network (OSTI)

D 110 (1997) 182194 Fig. 3. ACF of the residual errors ofautocorrelation function (ACF) as the diagnostic for non-autocorrelation function (ACF) of the residual time series.

Ellner, Stephen Paul; Kendall, Bruce E.; Wood, Simon N.; McCauley, Ed; Briggs, Cheryl J

1997-01-01T23:59:59.000Z

335

A Nonparametric Approach to the Removal of Documented Inhomogeneities in Climate Time Series  

Science Conference Proceedings (OSTI)

Climate data often suffer from artificial inhomogeneities, resulting from documented or undocumented events. For a time series to be used with confidence in climate analysis, it should only be characterized by variations intrinsic to the climate ...

Chiara Ambrosino; Richard E. Chandler

2013-05-01T23:59:59.000Z

336

Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing  

Science Conference Proceedings (OSTI)

In this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT compared with similar concepts used in music, is also provided. Using an analogy between ...

K-M. Lau; Hengyi Weng

1995-12-01T23:59:59.000Z

337

Prediction of long-range dependent time series data with performance guarantee  

Science Conference Proceedings (OSTI)

Modelling and predicting long-range dependent time series data can find important and practical applications in many areas such as telecommunications and finance. In this paper, we consider Fractional Autoregressive Integrated Moving Average (FARIMA) ...

Mikhail Dashevskiy; Zhiyuan Luo

2009-10-01T23:59:59.000Z

338

Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology  

E-Print Network (OSTI)

Abstract: Changing trends in ecosystem productivity can be quantified using satellite observations of Normalized Difference Vegetation Index (NDVI). However, the estimation of trends from NDVI time series differs substantially depending on analyzed satellite dataset, the corresponding spatiotemporal resolution, and the applied statistical method. Here we compare the performance of a wide range of trend estimation methods and demonstrate that performance decreases with increasing inter-annual variability in the NDVI time series. Trend slope estimates based on annual aggregated time series or based on a seasonal-trend model show better performances than methods that remove the seasonal cycle of the time series. A breakpoint detection analysis reveals that an overestimation of breakpoints in NDVI trends can result in wrong or even opposite trend estimates. Based on our results, we give practical recommendations for the application of trend methods on long-term NDVI time series. Particularly, we apply and compare different methods on NDVI time series in Alaska, where both greening and browning trends have been previously observed. Here, the multi-method uncertainty of NDVI trendsRemote Sens. 2013, 5 2114

Matthias Forkel; Nuno Carvalhais; Jan Verbesselt; Miguel D. Mahecha; Christopher S. R. Neigh; Markus Reichstein

2013-01-01T23:59:59.000Z

339

Superstatistical fluctuations in time series: applications to share price dynamics and turbulence  

E-Print Network (OSTI)

We introduce a general technique to study whether a given experimental time series is superstatistical. Crucial for the applicability of the superstatistics concept is the existence of a parameter $\\beta$ that fluctuates on a large time scale as compared to the other time scales of the complex system under consideration. The proposed method extracts the main superstatistical parameters out of a given data set and checks the validity of the superstatistical model assumptions. We test the method thoroughly with surrogate data sets. Then the applicability of the superstatistical approach is illustrated using real experimental data. We study two examples, velocity time series measured in turbulent Taylor-Couette flows and time series of log-returns of the closing prices of some stock market indices.

Van der Straeten, Erik

2009-01-01T23:59:59.000Z

340

File-Based storage of digital objects and constituent datastreams: XMLtapes and internet archive ARC files  

Science Conference Proceedings (OSTI)

This paper introduces the write-once/read-many XMLtape/ARC storage approach for Digital Objects and their constituent datastreams. The approach combines two interconnected file-based storage mechanisms that are made accessible in a protocol-based manner. ...

Xiaoming Liu; Lyudmila Balakireva; Patrick Hochstenbach; Herbert Van de Sompel

2005-09-01T23:59:59.000Z

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.


341

Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model  

E-Print Network (OSTI)

Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model to Geomagnetic@ism.ac.jp 3 Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto. A geomagnetic jerk is de#12;ned as a sudden change in the trend of the time derivative of geomagnetic secular

Higuchi, Tomoyuki

342

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

343

Characterization of nonlinear input-output systems using time series analysis  

Science Conference Proceedings (OSTI)

Data obtained from time series analysis has been used for a number of years for the characterization and response prediction of linear systems. This paper describes a time series technique for the analysis of nonlinear systems through the use of embeddings using delay coordinates or appropriate transformations of delay coordinates (local singular value decomposition or local canonical variate analysis). Local linear approaches are used to characterize the state evolution. Application of the technique is illustrated for a single degree of freedom oscillator with nonlinear stiffness, a mechanical chaos beam, and a climatic data time series. In each application analysis from measured data is emphasized. State rank, lyapunov exponents, and expected iterated prediction errors are quantified. The technique illustrated should be useful in the analysis of many forms of experimental data, especially where the state rank is not excessively large. 8 refs., 6 figs.

Hunter, N.F.; Theiler, J.

1991-01-01T23:59:59.000Z

344

TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47  

SciTech Connect

The X-ray nova 4U 1543-47 was in a different physical state (low/hard, high/soft, and very high) during the acquisition of each of the three time series analyzed in this paper. Standard time series models of the autoregressive moving average (ARMA) family are fitted to these series. The low/hard data can be adequately modeled by a simple low-order model with fixed coefficients, once the slowly varying mean count rate has been accounted for. The high/soft series requires a higher order model, or an ARMA model with variable coefficients. The very high state is characterized by a succession of 'dips', with roughly equal depths. These seem to appear independently of one another. The underlying stochastic series can again be modeled by an ARMA form, or roughly as the sum of an ARMA series and white noise. The structuring of each model in terms of short-lived aperiodic and 'quasi-periodic' components is discussed.

Koen, C. [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)] [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)

2013-03-01T23:59:59.000Z

345

Statistical and Multifractal Properties of the Time Series Generated by a Modified Minority Game  

E-Print Network (OSTI)

In this paper it was developed a modification of the known multiagent model Minority Game, designed to simulate the behavior of traders in financial markets and the resulting price dynamics on the abstract resource. The model was implemented in the form of software. The modified version of Minority Game was investigated with the aim of reproducing the basic properties of real financial time series. It was proved that such properties as the clustering of volatility, the Levy distribution and multifractality are inherent for generated by this version of the Minority Game time series of prices.

Kuperin, Yu A

2010-01-01T23:59:59.000Z

346

Multifractal analysis of stress time series during ultrathin lubricant film melting  

E-Print Network (OSTI)

Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribu...

Khomenko, A V; Borisyuk, V N; 10.1142/S0219477510000046

2010-01-01T23:59:59.000Z

347

A new measure of phase synchronization for a pair of time series and seizure focus localization  

E-Print Network (OSTI)

Defining and measuring phase synchronization in a pair of nonlinear time series are highly nontrivial. This can be done with the help of Fourier transform, when it exists, for a pair of stored (hence stationary) signals. In a time series instantaneous phase is often defined with the help of Hilbert transform. In this paper phase of a time series has been defined with the help of Fourier transform. This gives rise to a deterministic method to detect phase synchronization in its most general form between a pair of time series. Since this is a stricter method than the statistical methods based on instantaneous phase, this can be used for lateralization and source localization of epileptic seizures with greater accuracy. Based on this method a novel measure of phase synchronization, called syn function, has been defined, which is capable of quantifying neural phase synchronization and asynchronization as important parameters of epileptic seizure dynamics. It has been shown that such a strict measure of phase synchronization has potential application in seizure focus localization from scalp electroencephalogram (EEG) data, without any knowledge of electrical conductivity of the head.

Kaushik Majumdar

2006-12-13T23:59:59.000Z

348

Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis  

Science Conference Proceedings (OSTI)

To illustrate the WORDij approach to automatic social network identification from large volumes of text, this research mined the social networks among President Clintons cabinet members (n=24)and also President G.W. Bushs cabinet members ... Keywords: Time Series Data Mining

James A. Danowski; Noah T. Cepela

2009-07-01T23:59:59.000Z

349

An automated pipeline for asteroseismology based on the autocorrelation of stellar time series  

E-Print Network (OSTI)

The autocorrelation of an asteroseismic time series has been identified as a powerful tool capable of providing measurements of the large frequency separations. The performance of this method has been assessed and quantified by Mosser & Appourchaux (2009). We propose now an automated pipeline based on it and describe its performance.

Mosser, Benoit

2010-01-01T23:59:59.000Z

350

VBR MPEG Video Traffic Dynamic Prediction Based on the Modeling and Forecast of Time Series  

Science Conference Proceedings (OSTI)

The variable-bit-rate traffic characteristic brings a large complication to the utilization of network resources, especially bandwidth. To solve this problem, this paper proposes a dynamic prediction scheme of MPEG video traffic. We first advance an ... Keywords: MPEG, video trace, forecast, time series, ARMA

Jun Dai; Jun Li

2009-08-01T23:59:59.000Z

351

Spectral analysis of microarray gene expression time series data of Plasmodium falciparum  

Science Conference Proceedings (OSTI)

We propose a new strategy to analyse the periodicity of gene expression profiles using Singular Spectrum Analysis (SSA) and Autoregressive (AR) model based spectral estimation. By combining the advantages of SSA and AR modelling, more ... Keywords: SSA, autoregressive spectral estimation model, bioinformatics, drug discovery, gene expression profiles, gene target, microarray time series analysis, plasmodium falciparum, singular spectrum analysis

Liping Du; Shuanhu Wu; Alan Wee-Chung Liew; David K. Smith; Hong Yan

2008-07-01T23:59:59.000Z

352

Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets  

Science Conference Proceedings (OSTI)

Unraveling the temporal complexity of cellular systems is a challenging task, as the subtle coordination of molecular activities cannot be adequately captured by simple mathematical concepts such as correlation. This paper addresses the challenge with ... Keywords: Complex temporal association, Time-series microarray data

Wenyuan Li; Min Xu; Xianghong Jasmine Zhou

2010-08-01T23:59:59.000Z

353

The multi-agent system for prediction of financial time series  

Science Conference Proceedings (OSTI)

To take into account different character of distinct segments of non-stationary financial time series the multi-agent system based forecasting algorithm is suggested. The primary goal of present paper is to introduce methodological findings that could ... Keywords: classification, dimensionality, forecasting, sliding window, training

ar?nas Raudys; Indre Zliobaite

2006-06-01T23:59:59.000Z

354

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

355

Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training  

Science Conference Proceedings (OSTI)

Short-term electricity demand forecasting for the next hour to several days out is one of the most important tools by which an electric utility plans and dispatches the loading of generating units in order to meet system demand. But there exists chaos ... Keywords: Particle Swarm Optimization (PSO), chaotic time Series, fuzzy system, feedforward neural network

Wenyu Zhang; Jinzhao Liang; Jianzhou Wang; Jinxing Che

2008-11-01T23:59:59.000Z

356

Fusion of hypothesis testing for nonlinearity detection in small time series  

Science Conference Proceedings (OSTI)

The performances of parametric or non-parametric Hypothesis Testing (HT) for nonlinearity detection are fairly weak for small time series (typically between 128 and 512 samples). A natural idea to improve the results is to merge several HT to make a ... Keywords: Decision fusion, HOS methods, Hypothesis testing fusion, Mutual information, Nonlinearity detection, Signal modelling

Jean-Marc Le Caillec; Julien Montagner

2013-05-01T23:59:59.000Z

357

Forecasting of Chaotic Cloud Absorption Time Series for Meteorological and Plume Dispersion Modeling  

Science Conference Proceedings (OSTI)

A nonlinear forecasting method based on the reconstruction of a chaotic strange attractor from about 1.5 years of cloud absorption data obtained from half-hourly Meteosat infrared images was used to predict the behavior of the time series 24 h in ...

V. Prez-Muuzuri

1998-11-01T23:59:59.000Z

358

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 users. Categories and Subject Descriptors I.2.7 [Natural Language Processing]: Language Generation. Keywords Time series data, Summarization, Natural Language Processing, Gricean maxims. 1. INTRODUCTION

Sripada, Yaji

359

Data Mining of Coal Mining Gas Time Series and Knowledge Discovery  

Science Conference Proceedings (OSTI)

Use the data mining techniques to discover the regularity knowledge from the gas sensor monitoring history database is very important approach for the supervisors to identify the reason causing the exceptional fluctuation automatically and make the correct ... Keywords: data mining, time series, clustering, shape measure, knowledge discovery

Shisong Zhu; Yunjia Wang; Lifang Kong

2011-10-01T23:59:59.000Z

360

BN-97-4-4 (RP-875) The Radiant Time Series Cooling  

E-Print Network (OSTI)

, Ph.D., P.E. Member ASHRAE Daniel E. Fisher, Ph.D. Member ASHRAE Curtis O. Pedersen, Ph.D. Fellow ASHRAE ABSTRACT Theradiant time series methodis a newmethodfor per- forming design cooling load, Inc. (www.ashrae.org). P

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

A visual analytics approach for peak-preserving prediction of large seasonal time series  

Science Conference Proceedings (OSTI)

Time series prediction methods are used on a daily basis by analysts for making important decisions. Most of these methods use some variant of moving averages to reduce the number of data points before prediction. However, to reach a good prediction ...

M. C. Hao; H. Janetzko; S. Mittelstdt; W. Hill; U. Dayal; D. A. Keim; M. Marwah; R. K. Sharma

2011-06-01T23:59:59.000Z

362

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model  

E-Print Network (OSTI)

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model Neal Wagner programming (GP) to the task of forecasting with favorable results. However, these studies, like those "dynamic" GP model that is specifically tailored for forecasting in non-static environments. This Dynamic

Michalewicz, Zbigniew

363

Application of Bayesian trained RBF networks to nonlinear time-series modeling  

Science Conference Proceedings (OSTI)

We examine Bayesian learning of a regularization factor and the noise level of radial basis function (RBF) networks in the framework of nonlinear time-series prediction and system modeling. A Bayesian trained RBF network is applied in an autonomous recursive ... Keywords: Bayesian learning, nonlinear modeling, oscillator model

Erhard Rank

2003-07-01T23:59:59.000Z

364

Matching pursuit by undecimated discrete wavelet transform for non-stationary time series of arbitrary length  

Science Conference Proceedings (OSTI)

We describe how to formulate a matching pursuit algorithm which successively approximates a periodic non-stationary time series with orthogonal projections onto elements of a suitable dictionary. We discuss how to construct such dictionaries derived ... Keywords: Discrete wavelet transform, matching pursuit, undecimated discrete wavelet transform

A. T. Walden; A. Contreras Cristan

1998-08-01T23:59:59.000Z

365

An emission time series generator for pollutant release modelling in urban areas  

Science Conference Proceedings (OSTI)

Dynamic priority pollutant (PP) fate models are being developed to assess appropriate strategies for limiting the release of PPs from urban sources and for treating PPs on a variety of spatial scales. Different possible sources of PP releases were mapped ... Keywords: Emission pattern, Generator, Priority pollutants, Release dynamics, Sewer catchment model, Time series

W. De Keyser; V. Gevaert; F. Verdonck; B. De Baets; L. Benedetti

2010-04-01T23:59:59.000Z

366

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models  

Science Conference Proceedings (OSTI)

Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem are single lineal regressions and autoregressive models (ARIMA). Notwithstanding, ... Keywords: Aerobiology, Airborne pollen, Forecasting, Neuro-fuzzy, Time series

Jos Luis Aznarte M.; Jos Manuel Bentez Snchez; Diego Nieto Lugilde; Concepcin de Linares Fernndez; Consuelo Daz de la Guardia; Francisca Alba Snchez

2007-05-01T23:59:59.000Z

367

Time Series Measurements from a Moored Fluorescence-Based Dissolved Oxygen Sensor  

Science Conference Proceedings (OSTI)

We present an analysis of time-series measurements from a prototype fluorescence-quenching dissolved oxygen sensor moored for a six-day period in late March 1987 at 100 m depth in Saanich Inlet, British Columbia. Temporal variations in dissolved ...

Richard E. Thomson; Terrence A. Curran; M. Coreen Hamilton; Ronald McFarlane

1988-10-01T23:59:59.000Z

368

Dynamics in the Deep Canada Basin, Arctic Ocean, Inferred by Thermistor Chain Time Series  

Science Conference Proceedings (OSTI)

A 50-day time series of high-resolution temperature in the deepest layers of the Canada Basin in the Arctic Ocean indicates that the deep Canada Basin is a dynamically active environment, not the quiet, stable basin often assumed. Vertical ...

M-L. Timmermans; H. Melling; L. Rainville

2007-04-01T23:59:59.000Z

369

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

370

An approach to generating summaries of time series data in the gas turbine domain  

E-Print Network (OSTI)

In this paper, we propose an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through the think-aloud method with the aid of visualization of temporal data using time series workbench (TSW), both domain knowledge from experts about how to solve problems in the gas turbine and information about how domain experts analyze the archived temporal data are gotten. An algorithm to select interesting events is proposed and a prototype knowledge-based system is designed to generate summary of temporal data for interesting events in the gas turbine domain. Some further research works also are pointed. Key words: knowledge acquisition, knowledge-based system, gas turbine. 1

Jin Yu; Jim Hunter; Ehud Reiter; Somayajulu Sripada

2001-01-01T23:59:59.000Z

371

Multifractal analysis of stress time series during ultrathin lubricant film melting  

E-Print Network (OSTI)

Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribution. Since the power-law distribution is related to small stresses, this case corresponds to self-similar solid-like lubricant.

A. V. Khomenko; I. A. Lyashenko; V. N. Borisyuk

2010-07-20T23:59:59.000Z

372

A test for second order stationarity of a time series based on the Discrete Fourier Transform -Technical report  

E-Print Network (OSTI)

A test for second order stationarity of a time series based on the Discrete Fourier Transform stationary. Exploiting this important property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic has

Subba Rao, Suhasini

373

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling  

Science Conference Proceedings (OSTI)

Least squares support vector machines (LSSVM) with Gaussian kernel represent the most used of the kernel methods existing in the literature for regression and time series prediction. These models have a good behaviour for these types of problems due ... Keywords: Kernel methods, Kernel weighted K-Nearest Neighbours, Least squares support vector machines, Parallelization of kernel methods, Specific to problem kernels, Time series modelling

Gins Rubio; Luis Javier Herrera; Hctor Pomares; Ignacio Rojas; Alberto Guilln

2010-06-01T23:59:59.000Z

374

Similarity retrieval from time-series tropical cyclone observations using a neural weighting generator for forecasting modeling  

Science Conference Proceedings (OSTI)

Building a forecasting model for time-series data is a tough but very valuable research topic in recent years. High variation of time-series features must be considered appropriately for an accurate prediction. For weather forecasting, which is continuous, ...

Bo Feng; James N. K. Liu

2005-09-01T23:59:59.000Z

375

Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data  

Science Conference Proceedings (OSTI)

To unravel the controlling mechanisms of gene regulation, in this paper we present the application of sophisticated soft computing methods applied on an important problem from Bioinformatics-inferring gene regulatory networks (GRN) from time series gene ... Keywords: Automatic model building, Gene regulatory network, LARS, Reverse-engineering, Schizosaccharomyces pombe, Time series microarray data, Yeast

Zeke S. H. Chan; Ilkka Havukkala; Vishal Jain; Yingjie Hu; Nikola Kasabov

2008-06-01T23:59:59.000Z

376

A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems  

Science Conference Proceedings (OSTI)

Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the process automation in a specific application domain where activities ... Keywords: Activity duration, Interval forecasting, Statistical time series, Time-series patterns, Workflow system

Xiao Liu; Zhiwei Ni; Dong Yuan; Yuanchun Jiang; Zhangjun Wu; Jinjun Chen; Yun Yang

2011-03-01T23:59:59.000Z

377

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network  

Science Conference Proceedings (OSTI)

In this work a novel approach for estimation of embedding parameters for reconstruction of underlying dynamical system from the observed nonlinear time series by a feedforward neural network with structural learning is proposed. The proposed scheme of ... Keywords: Chaos, Embedding parameters, Embedding theorem, Neural network, Nonlinear time series, Strange attractor, Structural learning

Yusuke Manabe; Basabi Chakraborty

2007-03-01T23:59:59.000Z

378

The physiology analysis system: An integrated approach for warehousing, management and analysis of time-series physiology data  

Science Conference Proceedings (OSTI)

The physiology analysis system (PAS) was developed as a resource to support the efficient warehousing, management, and analysis of physiology data, particularly, continuous time-series data that may be extensive, of variable quality, and distributed ... Keywords: Data base management system, Data display, Medical informatics, Physiology, Time-series data analysis

Thomas M. McKenna; Gagandeep Bawa; Kamal Kumar; Jaques Reifman

2007-04-01T23:59:59.000Z

379

Use of WindSat to Extend a Microwave-Based Daily Optimum Interpolation Sea Surface Temperature Time Series  

Science Conference Proceedings (OSTI)

The NOAA daily optimum interpolation sea surface temperature analysis (DOISST) is available either as a 31-yr (from 1981 onward) time series based on Advanced Very High Resolution Radiometer (AVHRR) observations or as a 9-yr (200211) time ...

Viva F. Banzon; Richard W. Reynolds

2013-04-01T23:59:59.000Z

380

Time-series models with many discrete alternatives. CONF-8309138--1  

SciTech Connect

In process and inventory control, time-series models occur with discrete alternatives in each time period (e.g., in an inventory process, the alternatives of no loss, or a block loss, in each period). With such a model, a fully Bayesian approach requires that the number of possible alternatives increase geometrically with time. In this paper, the problem of discarding the large set of alternatives which turn out to be (on the basis of the data) wildly unlikely is discussed from a fully Bayesian viewpoint. Costs of computation are compared with two sources of costs of truncating the model. Algorithms are given for the selection of the set of alternatives to retain. Simplified guidelines for practical situations are given.

Durst, M.

1983-08-01T23:59:59.000Z

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.


381

Transportation Energy Futures Series: Vehicle Technology Deployment Pathways: An Examination of Timing and Investment Constraints  

SciTech Connect

Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

Plotkin, S.; Stephens, T.; McManus, W.

2013-03-01T23:59:59.000Z

382

Characterizing forest fire activity in Turkey by compound Poisson and time series models  

Science Conference Proceedings (OSTI)

Large forest fires are major disturbances that strongly influence the carbon cycling and vegetation dynamics of Turkish ecosystems. We suggest that compound Poisson model could provide suitable description for the total annual area burned by forest fires and for fire size distribution in Turkey. This paper also provides a time series model that reveals trends in annual number of fires and area burned in Turkey. We support this argument using forest fires occurred in Turkey between 1937 and 2009. We also find that the Poisson model simulates large fire occurrences well and the total burned area is modeled by a compound Poisson process.

Hatice . ekim; Cem Kad?lar; Gamze zel

2013-01-01T23:59:59.000Z

383

Interpretation of engine cycle-to-cycle variation by chaotic time series analysis  

DOE Green Energy (OSTI)

In this paper we summarize preliminary results from applying a new mathematical technique -- chaotic time series analysis (CTSA) -- to cylinder pressure data from a spark-ignition (SI) four-stroke engine fueled with both methanol and iso-octane. Our objective is to look for the presence of deterministic chaos'' dynamics in peak pressure variations and to investigate the potential usefulness of CTSA as a diagnostic tool. Our results suggest that sequential peak cylinder pressures exhibit some characteristic features of deterministic chaos and that CTSA can extract previously unrecognized information from such data. 18 refs., 11 figs., 2 tabs.

Daw, C.S.; Kahl, W.K.

1990-01-01T23:59:59.000Z

384

Multi-horizon solar radiation forecasting for Mediterranean locations using time series models  

E-Print Network (OSTI)

Considering the grid manager's point of view, needs in terms of prediction of intermittent energy like the photovoltaic resource can be distinguished according to the considered horizon: following days (d+1, d+2 and d+3), next day by hourly step (h+24), next hour (h+1) and next few minutes (m+5 e.g.). Through this work, we have identified methodologies using time series models for the prediction horizon of global radiation and photovoltaic power. What we present here is a comparison of different predictors developed and tested to propose a hierarchy. For horizons d+1 and h+1, without advanced ad hoc time series pre-processing (stationarity) we find it is not easy to differentiate between autoregressive moving average (ARMA) and multilayer perceptron (MLP). However we observed that using exogenous variables improves significantly the results for MLP . We have shown that the MLP were more adapted for horizons h+24 and m+5. In summary, our results are complementary and improve the existing prediction techniques ...

Voyant, Cyril; Muselli, Marc; Nivet, Marie Laure

2013-01-01T23:59:59.000Z

385

Bayesian analysis of time series of single RNA under fluctuating force  

E-Print Network (OSTI)

Extracting the intrinsic kinetic information of biological molecule from its single-molecule kinetic data is of considerable biophysical interest. In this work, we theoretically investigate the feasibility of inferring single RNA's intrinsic kinetic parameters from the time series obtained by forced folding/unfolding experiment done in the light tweezer, where the molecule is flanked by long double-stranded DNA/RNA handles and tethered between two big beads. We first construct a coarse-grain physical model of the experimental system. The model has captured the major physical factors: the Brownian motion of the bead, the molecular structural transition, and the elasticity of the handles and RNA. Then based on an analytic solution of the model, a Bayesian method using Monte Carlo Markov Chain is proposed to infer the intrinsic kinetic parameters of the RNA from the noisy time series of the distance or force. Because the force fluctuation induced by the Brownian motion of the bead and the structural transition can significantly modulate the transition rates of the RNA, we prove that, this statistic method is more accurate and efficient than the conventional histogram fitting method in inferring the molecule's intrinsic parameters.

Fei Liu; Zhong-can Ou-Yang

2007-10-04T23:59:59.000Z

386

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.

387

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

Science Conference Proceedings (OSTI)

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

388

Double Quantization of the Regressor Space for Long-Term Time Series Prediction: Method and Proof of Stability  

E-Print Network (OSTI)

on a stan- dard benchmark (Santa Fe A series) and on a real-world problem of electrical load forecasting an electrical consumption, the prob- lem may be to forecast hourly values for a whole day instead of predicting, a particular time series forecasting method based on Kohonen maps is described. This method has been

Paris-Sud XI, Université de

389

Time Series Photometry of Variable Stars in the Globular Cluster NGC 6397  

E-Print Network (OSTI)

Time series BVI photometry is presented for 16 short-period variables located in the central region of the globular cluster NGC 6397. The sample includes 9 newly detected variables. The light curve of cataclysmic variable CV6 shows variability with a period of 0.2356 days. We confirm an earlier reported period of 0.472 days for cataclysmic variable CV1. Phased light curves of both CVs exhibit sine-like light curves, with two minima occurring during each orbital cycle. The secondary component of CV1 has a low average density of 0.83 g/cm^{3} indicating that it cannot be a normal main sequence star. Variables among the cluster blue stragglers include a likely detached eclipsing binary with orbital period of 0.787 days, three new SX Phe stars (one of which has the extremely short period of 0.0215 days), and three low amplitude variables which are possible gamma Doradus variables.

Janusz Kaluzny; Ian B. Thompson

2002-10-29T23:59:59.000Z

390

Learning to imitate stochastic time series in a compositional way by chaos  

E-Print Network (OSTI)

This study shows that a mixture of RNN experts model can acquire the ability to generate sequences combining multiple primitive patterns by means of self-organizing chaos. By training of the model, each expert learns a primitive sequence pattern, and a gating network learns to imitate stochastic switching of the multiple primitives via a chaotic dynamics, utilizing a sensitive dependence on initial conditions. As a demonstration, we present a numerical simulation in which the model learns Markov chain switching among some Lissajous curves by a chaotic dynamics. Our analysis shows that by using a sufficient amount of training data, balanced with the network memory capacity, it is possible to satisfy the conditions for embedding the target stochastic sequences into a chaotic dynamical system. It is also shown that reconstruction of a stochastic time series by a chaotic model can be stabilized by adding a negligible amount of noise to the dynamics of the model.

Jun Namikawa; Jun Tani

2008-05-13T23:59:59.000Z

391

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (X stands for exogenous/fundamental variable system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

392

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

393

Low-Frequency Modulation of Turbulent Diapycnal Mixing by Anticyclonic Eddies Inferred from the HOT Time Series  

Science Conference Proceedings (OSTI)

Profiles of potential density obtained from CTD measurements during the Hawaii Ocean Time series (HOT) program in the vicinity of the island of Oahu, Hawaii, are used to evaluate low-frequency variability of turbulent kinetic dissipation rates ...

Zhao Jing; Lixin Wu

2013-04-01T23:59:59.000Z

394

Time Series of Daily Averaged Cloud Fractions over Landfast First-Year Sea Ice from Multiple Data Sources  

Science Conference Proceedings (OSTI)

The time series of daily averaged cloud fractions (CFs) collected from different platformstwo Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on Terra and Aqua satellites, the National Centers for Environmental Prediction (NCEP)...

Xin Jin; John M. Hanesiak; David G. Barber

2007-11-01T23:59:59.000Z

395

Simulation of wind-speed time series for wind-energy conversion analysis.  

DOE Green Energy (OSTI)

In order to investigate operating characteristics of a wind energy conversion system it is often desirable to have a sequential record of wind speeds. Sometimes a long enough actual data record is not available at the time an analysis is needed. This may be the case if, e.g., data are recorded three times a day at a candidate wind turbine site, and then the hourly performance of generated power is desired. In such cases it is often possible to use statistical characteristics of the wind speed data to calibrate a stochastic model and then generate a simulated wind speed time series. Any length of record may be simulated by this method, and desired system characteristics may be studied. A simple wind speed simulation model, WEISIM, is developed based on the Weibull probability distribution for wind speeds with a correction based on the lag-one autocorrelation value. The model can simulate at rates from one a second to one an hour, and wind speeds can represent short-term averages (e.g., 1-sec averages) or longer-term averages (e.g., 1-min or 1 hr averages). The validity of the model is verified with PNL data for both histogram characteristics and persistance characteristics.

Corotis, R.B.

1982-06-01T23:59:59.000Z

396

Separation of Stochastic and Deterministic Information from Seismological Time Series with Nonlinear Dynamics and Maximum Entropy Methods  

SciTech Connect

We present a procedure developed to detect stochastic and deterministic information contained in empirical time series, useful to characterize and make models of different aspects of complex phenomena represented by such data. This procedure is applied to a seismological time series to obtain new information to study and understand geological phenomena. We use concepts and methods from nonlinear dynamics and maximum entropy. The mentioned method allows an optimal analysis of the available information.

Gutierrez, Rafael M.; Useche, Gina M.; Buitrago, Elias [Centro de Investigaciones, Universidad Antonio Narino, Carrera 3 Este No. 47A--15 Bogota (Colombia)

2007-11-13T23:59:59.000Z

397

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

398

Anomaly detection in noisy and irregular time series: the "turbodiesel charging pressure" case study  

Science Conference Proceedings (OSTI)

In this paper we consider the problem of detecting anomalies in sample series obtained from critical train subsystems. Our study is the analysis of charging pressure in turbodiesel engines powering a fleet of passenger trains. We describe an automated ...

Anah Balbi; Michael Provost; Armando Tacchella

2010-06-01T23:59:59.000Z

399

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

400

Measurements of time average series resonance effect in capacitively coupled radio frequency discharge plasma  

Science Conference Proceedings (OSTI)

Self-excited plasma series resonance is observed in low pressure capacitvely coupled radio frequency discharges as high-frequency oscillations superimposed on the normal radio frequency current. This high-frequency contribution to the radio frequency current is generated by a series resonance between the capacitive sheath and the inductive and resistive bulk plasma. In this report, we present an experimental method to measure the plasma series resonance in a capacitively coupled radio frequency argon plasma by modifying the homogeneous discharge model. The homogeneous discharge model is modified by introducing a correction factor to the plasma resistance. Plasma parameters are also calculated by considering the plasma series resonances effect. Experimental measurements show that the self-excitation of the plasma series resonance, which arises in capacitive discharge due to the nonlinear interaction of plasma bulk and sheath, significantly enhances both the Ohmic and stochastic heating. The experimentally measured total dissipation, which is the sum of the Ohmic and stochastic heating, is found to increase significantly with decreasing pressure.

Bora, B.; Bhuyan, H.; Favre, M.; Wyndham, E.; Chuaqui, H. [Facultad de Fisica, Pontificia Universidad Catolica de Chile, Ave. Vicuna Mackenna 4860, Santiago 22 (Chile); Kakati, M. [Thermal Plasma Processed Materials Laboratory, Centre of Plasma Physics, Institute for Plasma Research, Sonapur 782 402, Assam (India)

2011-10-15T23:59:59.000Z

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

Essays on empirical time series modeling with causality and structural change  

E-Print Network (OSTI)

In this dissertation, three related issues of building empirical time series models for financial markets are investigated with respect to contemporaneous causality, dynamics, and structural change. In the first essay, nation-wide industry information transmission among stock returns of ten sectors in the U.S. economy is examined through the Directed Acyclical Graph (DAG) for contemporaneous causality and Bernanke decomposition for dynamics. The evidence shows that the information technology sector is the most root cause sector. Test results show that DAG from ex ante forecast innovations is consistent with the DAG fro m ex post fit innovations. This supports innovation accounting based on DAGs using ex post innovations. In the second essay, the contemporaneous/dynamic behaviors of real estate and stock returns are investigated. Selected macroeconomic variables are included in the model to explain recent movements of both returns. During 1971-2004, there was a single structural break in October 1980. A distinct difference in contemporaneous causal structure before and after the break is found. DAG results show that REITs take the role of a causal parent after the break. Innovation accounting shows significantly positive responses of real estate returns due to an initial shock in default risk but insignificant responses of stock returns. Also, a shock in short run interest rates affects real estate returns negatively with significance but does not affect stock returns. In the third essay, a structural change in the volatility of five Asian and U.S. stock markets is examined during the post-liberalization period (1990-2005) in the Asian financial markets, using the Sup LM test. Four Asian financial markets (Hong Kong, Japan, Korea, and Singapore) experienced structural changes. However, test results do not support the existence of structural change in volatility for Thailand and U.S. Also, results show that the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) persistent coefficient increases, but the Autoregressive Conditional heteroskedasticity (ARCH) impact coefficient, implying short run adjustment, decreases in Asian markets. In conclusion, when the econometric model is set up, it is necessary to consider contemporaneous causality and possible structural breaks (changes). The dissertation emphasizes causal inference and structural consistency in econometric modeling. It highlights their importance in discovering contemporaneous/dynamic causal relationships among variables. These characteristics will likely be helpful in generating accurate forecasts.

Kim, Jin Woong

2006-08-01T23:59:59.000Z

402

Abstract--This paper analyzes a distribution system load time series through autocorrelation coefficient, power spectral density,  

E-Print Network (OSTI)

models [7], [8]. The load model developed in [7] provides different 24-hour load profiles for different seasons. The 24-hour load profile is obtained by a weighted sum of peak loads from different types1 Abstract--This paper analyzes a distribution system load time series through autocorrelation

Bak-Jensen, Birgitte

403

Analysis of SWADE Discus N Wind Speed and Wave Height Time Series. Part II: Quantitative Growth Rates during a Storm  

Science Conference Proceedings (OSTI)

In Part I, wind speed and wave height time series obtained from the Discus N buoy during two storm events recorded in the SWADE experiment were analyzed using discrete wavelet packet transforms. One result of the analysis is that distinct tightly ...

Jorge F. Willemsen

1997-06-01T23:59:59.000Z

404

Analysis of SWADE Discus N Wind Speed and Wave Height Time Series. Part I: Discrete Wavelet Packet Representations  

Science Conference Proceedings (OSTI)

Discus N denotes a single buoy employed during the SWADE experiment, equipped to record wave amplitude and wind speed time series at a rate of 1 Hz. Over the course of approximately 4.5 days, two clear-cut examples of sea response to wind ...

Jorge E. Willemsen

1995-12-01T23:59:59.000Z

405

The estimation techniques of the time series correlations in nuclear reactor calculations by the Monte Carlo method using multiprocessor computers  

Science Conference Proceedings (OSTI)

The algorithms of estimation of the time series correlation functions in nuclear reactor calculations using the Monte Carlo method are described. Correlation functions are used for the estimation of biases, for calculations of variance taking into account the correlations between neutron generations, and for choosing skipped generations.

Kalugin, M. A.; Oleynik, D. S.; Sukhino-Khomenko, E. A., E-mail: sukhino-khomenko@adis.vver.kiae.ru [National Research Centre Kurchatov Institute (Russian Federation)

2012-12-15T23:59:59.000Z

406

HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA  

Science Conference Proceedings (OSTI)

The aim of this study is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time-series data. The proposed model (GRANN_ARIMA) integrates nonlinear grey relational artificial neural network (GRANN) and a linear autoregressive ...

Roselina Sallehuddin; Siti Mariyam Hj. Shamsuddin

2009-05-01T23:59:59.000Z

407

A Time Series Analysis of Food Price and Its Input Prices  

E-Print Network (OSTI)

Rapid increases in consumer food price beginning in 2007 generated interest in identifying the main factors influencing these increases. In subsequent years, food prices have fluctuated, but generally have continued their ascent. The effects of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non-stationary and cointegrated, a vector error correction model is estimated. Weak exogeneity and exclusion tests in the cointegration space are performed. Directed acyclical graphs are used to specify contemporaneous causal relationships. Dynamic interactions among the series are given by impulse response functions and forecast error variance decompositions. Weak exogeneity tests indicate all eight series work to bring the system back into equilibrium following a shock to the system. Further, exclusion tests suggest crude oil, gasoline, food CPI, ethanol, and food PPI variables are not in the long-run relationships. Dynamic analyses suggest the following relationships. Ethanol price is not a major factor in domestic food prices, suggesting that food prices are largely unaffected by the recent increased use of corn-based ethanol for fuel. Crude oil prices, corn prices, and the relative foreign exchange rate of the U.S. dollar, however, do influence domestic food prices with corn price contributing the most to food price variability. Innovation accounting inferences are robust to potential different contemporaneous causal specifications.

Routh, Kari 1988-

2012-12-01T23:59:59.000Z

408

Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning  

E-Print Network (OSTI)

At present, applications of biometrics are rapidly increasing due to inconveniences in using traditional passwords and physical keys. Hand geometry, one of the most well-known biometrics, is implemented in many verification systems with various feature extraction methods. In recent work, a hand geometry verification system using time series conversion techniques and Dynamic Time Warping (DTW) distance measure with Sakoe-Chiba band has been proposed. This system demonstrates many advantages, especially ease of implementation and small storage space requirement using time series representation. In this paper, we propose a novel hand geometry verification system that exploits DTW distance measure and R-K band learning to further improve the system performance. Finally, our evaluation reveals that our proposed system outperforms the current system by a wide margin, in terms of False Acceptance Rate (FAR), False Rejection Rate (FRR), and Total Success Rate (TSR) at Equal Error Rate (EER).

Niennattrakul, Vit

2009-01-01T23:59:59.000Z

409

Testing and forecasting the time series of the solar activity by singular spectrum analysis  

E-Print Network (OSTI)

To study and forecast the solar activity data a quite perspective method of singular spectrum analysis (SSA) is proposed. As known, data of the solar activity are usually presented via the Wolf numbers associated with the effective amount of the sunspots. The advantages and disadvantages of SSA are described by its application to the series of the Wolf numbers. It is shown that the SSA method provides a sufficiently high reliability in the description of the 11-year solar cycle. Moreover, this method is appropriate for revealing more long cycles and forecasting the further solar activity during one and a half of 11-year cycle.

A. Loskutov; I. A. Istomin; K. M. Kuzanyan; O. L. Kotlyarov

2000-10-13T23:59:59.000Z

410

RELATING TIME SERIES IN DATA TO SPATIAL VARIATION IN THE RESERVOIR USING WAVELETS  

E-Print Network (OSTI)

regression in the wavelet domains of both time and space. Wavelet transforms have the ability to reveal important events in time signals or spatial images. Thus we transformed both the model space and the time a subset of wavelet coefficients from each of the transformed domains. These subsets were used subsequently

411

Bayesian and non-Bayesian mixture paradigms for clustering multivariate data : time series synchrony tests.  

E-Print Network (OSTI)

??During the last few years, the use of the finite mixture model has increased in the study of heterogeneous populations including its use in time (more)

Kim, Susan

2011-01-01T23:59:59.000Z

412

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.

413

Statistical analysis of electrophoresis time series for improving basecalling in DNA sequencing  

Science Conference Proceedings (OSTI)

In automated DNA sequencing, the final algorithmic phase, referred to as basecalling, consists of the translation of four time signals in the form of peak sequences (electropherogram) to the corresponding sequence of bases. Commercial basecallers detect ...

Anna Tonazzini; Luigi Bedini

2007-07-01T23:59:59.000Z

414

Time series analysis of the lead-lag relationship of freight futures and spot market prices  

E-Print Network (OSTI)

This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...

Gavriilidis, Nikolaos

2008-01-01T23:59:59.000Z

415

The ups and downs of the renormalization group applied to financial time series  

E-Print Network (OSTI)

Starting from inhomogeneous time scaling and linear decorrelation between successive price returns, Baldovin and Stella recently devised a model describing the time evolution of a financial index. We first make it fully explicit by using Student distributions instead of power law-truncated Levy distributions; we also show that the analytic tractability of the model extends to the larger class of symmetric generalized hyperbolic distributions and provide a full computation of their multivariate characteristic functions. The Baldovin and Stella model, while mimicking well volatility relaxation phenomena such as the Omori law, fails to reproduce other stylized facts such as the leverage effect or some time reversal asymmetries. We discuss how to modify the dynamics of this process in order to reproduce real data more accurately.

Challet, Damien

2008-01-01T23:59:59.000Z

416

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

Science Conference Proceedings (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

417

An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim Hunter and Ehud Reiter and Somayajulu Sripada  

E-Print Network (OSTI)

An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through), both domain knowledge from experts about how to solve problems in the gas turbine and information about

Sripada, Yaji

418

A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting  

Science Conference Proceedings (OSTI)

Support vector machine is a new tool from Artificial Intelligence (AI) field has been successfully applied for a wide variety of problem especially in time-series forecasting. In this paper, least square support vector machine (LSSVM) is an improved ... Keywords: Forecasting, Least square support vector machine, Self-organizing maps, Time series

Shuhaida Ismail; Ani Shabri; Ruhaidah Samsudin

2011-08-01T23:59:59.000Z

419

Spatial and temporal variations in streambed hydraulic conductivity quantified with time-series thermal methods  

E-Print Network (OSTI)

conductivity Streambed seepage Heat as a tracer Surface water­ground water interaction Pajaro River s u m m a r was 62 m3 s?1 , with most of the loss occurring along the lower part of the experimental reach. Point and with time, with greater seepage occurring along the lower part of the reach and during the summer and fall

Fisher, Andrew

420

Investigation of flood inundation on playas within the Zone of Chotts, using a time-series of AVHRR  

E-Print Network (OSTI)

Our principal objectives were to examine the application of a time-series of advanced very high-resolution radiometer (AVHRR) data to contrast the inundation regimes of a range of large, climatically sensitive playas in the Zone of Chotts regions of southern Tunisia and northeastern Algeria. In doing so, we aimed to: (i) refine methods for monitoring monthly changes in lake areas and seasonal water balance, building from previous studies; (ii) explore the extent to which simple hydrological models can be developed for individual playas; and (iii) compare the hydrologic response of individual playas to seasonal rainfall inputs within North Africa. Here, analyses were conducted using two time-series of AVHRR data (c.2 images per month) for southern Tunisia and northern Algeria (1983 -- 1993 and 1987 -- 1999), with coincident meteorological data. These data were used to detect and monitor inundation events within specific playa catchments in the Zone of Chotts region. Key analyses methods included: (a) the use of reflectance profiles for each time-series to infer inundation processes for each playa and (b) the extraction of lake areas from sequential image data to determine the extent of inundation with an accuracy of between 2% and 6% (depending on lake size). For those playas which were found to inundate as a direct result of precipitation records of lake area change were used to drive simple hydrological models to allowed mean monthly precipitation ( P), monthly effective precipitation (P-E), and monthly evaporation (E) to be estimated. The techniques presented here make an important contribution to our understanding of the hydrology of playas in this region. Results for individual playas also suggest that these techniques may be useful in highlighting the dynamic respo...

Bryant Rainey Department; R. G. Bryant; M. P. Rainey

2002-01-01T23:59:59.000Z

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.


421

A New Series of Rate Decline Relations Based on the Diagnosis of Rate-Time Data  

E-Print Network (OSTI)

The so-called "Arps" rate decline relations are by far the most widely used tool for assessing oil and gas reserves from rate performance. These relations (i.e., the exponential and hyperbolic decline relations) are empirical where the starting point for their derivation is given by the definitions of the "loss ratio" and the "derivative of the loss ratio", where the "loss ratio" is the ratio of rate data to derivative of rate data, and the "derivative of the loss ratio" is the "b-parameter" as defined by Arps [1945]. The primary goal of this work is the interpretation of the b-parameter continuously over time and thus the better understanding of its character. As is shown below we propose "monotonically decreasing functional forms" for the characterization of the b-parameter, in addition to the exponential and hyperbolic rate decline relations, where the b-parameter is assumed to be zero and constant, respectively. The proposed equations are as follow: b(t)=constant (Arps' hyperbolic rate-decline relation), []tbbtb10exp)(-bt= (exponential function), (power-law function), 10)(btbtb=)/(1)(10tbbtb+= (rational function). The corresponding rate decline relation for each case is obtained by solving the differential equation associated with the selected functional for the b-parameter. The next step of this procedure is to test and validate each of the rate decline relations by applying them to various numerical simulation cases (for gas), as well as for field data cases obtained from tight/shale gas reservoirs. Our results indicate that b-parameter is never constant but it changes continuously with time. The ultimate objective of this work is to establish each model as a potential analysis/diagnostic relation. Most of the proposed models yield more realistic estimations of gas reserves in comparison to the traditional Arps' rate decline relations (i.e., the hyperbolic decline) where the reserves estimates are inconsistent and over-estimated. As an example, the rational b-parameter model seems to be the most accurate model in terms of representing the character of rate data; and therefore, should yield more realistic reserves estimates. Illustrative examples are provided for better understanding of each b-parameter rate decline model. The proposed family of rate decline relations was based on the character of the b-parameter computed from the rate-time data and they can be applied to a wide range of data sets, as dictated by the character of rate data.

Boulis, Anastasios

2009-08-01T23:59:59.000Z

422

TIME SERIES MODELING  

Science Conference Proceedings (OSTI)

does involve some knowledge of hydrodynamics (especially when decid- ing the formula for ... 109120. Munk, W.H., and Cartwright, D.E., 1966. Tidal spectroscopy and pre- diction. ..... Principles of Forecasting: A Handbook for. Researchers...

423

Time series association learning  

DOE Patents (OSTI)

This invention generally relates to machine-based speech and speaker recognition and, more particularly, to machine-based speech recognition using a learned relationship between acoustic and articulatory parameters. 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. 7 figs.

Papcun, G.J.

1990-01-31T23:59:59.000Z

424

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

425

Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity  

Science Conference Proceedings (OSTI)

Heart Rate Variability (HRV) series exhibit long memory and time-varying conditional variance. This work considers the Fractionally Integrated AutoRegressive Moving Average (ARFIMA) models with Generalized AutoRegressive Conditional Heteroscedastic (GARCH) errors. ARFIMA-GARCH models may be used to capture and remove long memory and estimate the conditional volatility in 24 h HRV recordings. The ARFIMA-GARCH approach is applied to fifteen long term HRV series available at Physionet

2013-01-01T23:59:59.000Z

426

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

427

Analysis based on the Wavelet & Hilbert Transforms applied to the full time series of interbeats for a triad of failures at the heart  

E-Print Network (OSTI)

A tetra of sets which elements are time series including interbeats has been obtained from the databank Physionet-MIT-BIH, corresponding to the following failures at the heart of humans: Obstructive Sleep Apnea, Congestive Heart Failure, and Atrial Fibrillation, and has been analyzed statistically using an already known technique based on the Wavelet and Hilbert Transforms. That technique has been applied to the time series of interbeats for 87 patients in order to find the intrinsical dynamics of their hearts. The length of the times series varies approachly from 7 to 24 h. The kind of wavelet selected for the study has been any one belonging to the families: Daubechies, Biortoghonal, and Gaussian. The analysis has been done for the complet set of scales ranging from: 1-128 heartbeats. Choosing the Biorthogonal wavelet: bior3.1, it is observed: (a) That a time serie has not to be cutted in shorter periods with the purpose of obtaining the collapse of the data, (b) An analytical, universal behavior of the dat...

Ritto, P A

2007-01-01T23:59:59.000Z

428

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series: validation on three French glaciers,  

E-Print Network (OSTI)

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both

Rabatel, Antoine

429

Estimating damping effectiveness of BPA`s thyristor controlled series capacitor by applying time and frequency domain methods to measured response  

Science Conference Proceedings (OSTI)

Recently, a 500-kV thyristor controlled series capacitor (TCSC) was installed in the Bonneville Power Administration system in the northwestern US. Extensive field testing has included modulation experiments to determine the effect of the TCSC on low-frequency oscillations. This paper discusses modulation procedures, analysis methods, and results for estimating the damping effectiveness of the TCSC. Modulation methods include driving the TCSC with step and random noise, and analysis techniques include time (Prony analysis) and frequency-domain identification. Results indicate that: (1) the TCSC can have significant impact on system dynamics; and (2) under a very small feedback gain, the TCSC provides measurable added damping.

Trudnowski, D.J.; Donnelly, M.K.; Hauer, J.F. [Pacific Northwest Lab., Richland, WA (United States)

1996-05-01T23:59:59.000Z

430

Series Crimes  

E-Print Network (OSTI)

Puiseux series are power series in which the exponents can be fractional and/or negative rational numbers. Several computer algebra systems have one or more built-in or loadable functions for computing truncated Puiseux series. Some are generalized to allow coe?cients containing functions of the series variable that are dominated by any power of that variable, such as logarithms and nested logarithms of the series variable. Some computer algebra systems also have built-in or loadable functions that compute infinite Puiseux series. Unfortunately, there are some little-known pitfalls in computing Puiseux series. The most serious of these is expansions within branch cuts or at branch points that are incorrect for some directions in the complex plane. For example with each series implementation accessible to you: Compare the value of (z^2 + z^3)^(3/2) with that of its truncated series expansion about z = 0, approximated at z = -0.01. Does the series converge to a value that is the negative of the correct value? C...

Stoutemyer, David R

2012-01-01T23:59:59.000Z

431

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

Science Conference Proceedings (OSTI)

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

432

Middle-term electrical load forecasting by time series decomposition. Report for EUNITE 2001 Competition, 2001. Available at http://neuron.tuke.sk/competition  

E-Print Network (OSTI)

Abstract. We present the results of our work in the frame of World-Wide Competition organized within the EUNITE network. For the middle-term electric load forecasting task with prediction horizon 1-31 days ahead we decided to develop a simple model based on decomposition of analyzed time series. The additive components were estimated using the training data collected by the Eastern Slovakian Electricity Corporation during the period 1997-1998. The model was validated by using of the real data from the first 20 days in December 1998. For final application the model was retrained and the requested forecasts were performed. The temperatures in January 1999, which form the inputs to the model, were estimated by moving average methods applied on historical data sets. 1

Emil Pelikn

2002-01-01T23:59:59.000Z

433

Poincar series  

Science Conference Proceedings (OSTI)

It is known that the series ~(v, k; G) are parabolic forms with respect to the subgroup. G and generate the whole space of parabolic forms Sk(G). Petersson...

434

ARM - Datastreams - rl  

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

banner Cart Icon Cart | Home | People | Site Index Atmospheric Radiation Measurement Climate Research Facility US Department of Energy About Science Campaigns Sites Instruments...

435

ARM XDC Datastreams  

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

banner Cart Icon Cart | Home | People | Site Index Atmospheric Radiation Measurement Climate Research Facility US Department of Energy About Science Campaigns Sites Instruments...

436

ARM - Datastreams - 30ebbr  

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

banner Cart Icon Cart | Home | People | Site Index Atmospheric Radiation Measurement Climate Research Facility US Department of Energy About Science Campaigns Sites Instruments...

437

ARM - Datastreams - ecmwfsfc  

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

Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Measurements The measurements below provided by this...

438

ARM - Datastreams - ecmwfsurf  

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

Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Model Data (ECMWF) Description These data can only be distributed to ARM scientists....

439

ARM - Datastreams - ecmwfsfce  

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

Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to...

440

ARM - Datastreams - ecmwfsfcml  

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

Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to...

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

ARM - Datastreams - ecmwfupa  

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

Atmospheric State Originating Instrument European Centre for Medium Range Weather Forecasts Model Data (ECMWF) Description These data can only be distributed to ARM scientists....

442

ARM - Datastreams - ncepgfsatksfc  

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

Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are...

443

ARM - Datastreams - ncepgfsatkpprof  

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

Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are...

444

ARM XDC Datastreams  

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

Ed. by D. Carrothers, U.S. Department of Energy, Richland, WA. Soden, B, S Tjemkes, J Schmetz, R Saunders, J Bates, R Ellingson, R Engelen, L Garand, D Jackson, D Jedlovec, T...

445

ARM XDC Datastreams  

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

the in-flight calibration data derived from measurements of cold space and the on-board black-body calibration target. Angles are calculated from the orbit geometry and are stored...

446

ARM XDC Datastreams  

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

Contacts ARM.govExternal Data CenterExternal Data StreamsEuropean Centre for Medium Range Weather Forecasts Model Data Documentation ECMWF Instrument ECMWF netCDF File Header...

447

ARM XDC Datastreams  

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

Videos Home Room Teacher's Lounge Study Hall Contacts ARM.govExternal Data CenterExternal Data StreamsNational Weather Service Upper Air Measurements Documentation NWSUPA...

448

ARM - Datastreams - usdauvmfrsraux  

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

Measurement Categories Atmospheric State Originating Instrument US Department of Agriculture (USDA) Radiation Monitoring Data (USDARAD) Measurements The measurements below...

449

ARM - Datastreams - usdaradaux  

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

Measurement Categories Atmospheric State Originating Instrument US Department of Agriculture (USDA) Radiation Monitoring Data (USDARAD) Measurements The measurements below...

450

ARM - Datastreams - aosccn100  

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

PGH M1 Browse Data ARIES Observatory, Nainital, Uttarkhand, India PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1 SBS S2 Browse Data Steamboat Springs CO, Christie Peak...

451

ARM - Datastreams - aoshtdma  

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

to Honolulu, HI - container ship Horizon Spirit PVC S1 Browse Data Highland Center, Cape Cod MA; MAOS Contact(s) Gunnar Senum (631) 344-3896 gsenum@bnl.gov Stephen Springston (631)...

452

ARM - Datastreams - aosuhsas  

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

( binnum ) Locations ARM Mobile Facility MAG M1 Browse Data Los Angeles, CA to Honolulu, HI - container ship Horizon Spirit PVC S1 Browse Data Highland Center, Cape Cod MA; MAOS...

453

ARM - Datastreams - mplpolfs  

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

PGH M1 Browse Data ARIES Observatory, Nainital, Uttarkhand, India PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1 SBS S1 Browse Data Steamboat Springs CO, Thunderhead Lodge...

454

ARM - Datastreams - 915rwpprecipcon  

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

Auxiliary) SGP S07 Browse Data Supplemental 7, Lamont, OK SGP S08 Browse Data Supplemental 8, Lamont, OK ARM Mobile Facility PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1...

455

ARM - Datastreams - wsacrhsrhi  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

456

ARM - Datastreams - kasacrhsrhi  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

457

ARM - Datastreams - xsacrppi  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

458

ARM - Datastreams - kasacrcrcal  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

459

ARM - Datastreams - wsacrcwrhi  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

460

ARM - Datastreams - kasacrcrrhi  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

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

ARM - Datastreams - kasacrrhi  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

462

ARM - Datastreams - wsacrcrcal  

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

for sweep degrees fixedangle ( sweep ) Follow mode unitless followmode ( sweep, stringlength4 ) Operating frequency Hz frequency ( frequency ) Instrument type unitless...

463

ARM XDC Datastreams  

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

Centers for Environmental Prediction run a regional numerical weather analysis and forecast system that covers the entire North American Continent. The data archived by ARM...

464

ARM XDC Datastreams  

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

Information updated on August 21, 2006, 3:35 pm GMT General Data Description NOAA's Forecast Systems Laboratory (FSL) Demonstration Division provides data from an array of wind...

465

ARM XDC Datastreams  

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

cloud products netCDF File Header Description (Data Object Design File) goes12minnis-acf - GOES-12: 0.3 degree cloud products, ARM Central Facility netCDF File Header...

466

ARM - Datastreams - bsrn  

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

Solar Radiation Network (BSRN): solar irradiances Active Dates 1993.07.01 - 2001.01.22 Measurement Categories Radiometric Originating Instrument Baseline Solar Radiation Network...

467

ARM - Datastreams - sirs  

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

(SIRS): broadband shortwave and longwave radiation Active Dates 1997.03.04 - 2013.07.30 Measurement Categories Radiometric Originating Instrument Solar and Infrared Radiation...

468

Continuous Time Series of Catchment-Averaged Sensible Heat Flux from a Large Aperture Scintillometer: Efficient Estimation of Stability Conditions and Importance of Fluxes under Stable Conditions  

Science Conference Proceedings (OSTI)

A large aperture scintillometer (LAS) observes the intensity of the atmospheric turbulence across large distances, which is related to the path-averaged sensible heat flux H. In this paper, two problems in the derivation of continuous series of H ...

Bruno Samain; Willem Defloor; Valentijn R. N. Pauwels

2012-04-01T23:59:59.000Z

469

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~!--

470

Time Series of Aerosol Column Optical Depth at the Barrow, Alaska, ARM Climate Research Facility for 2008 Fourth Quarter 2009 ARM and Climate Change Prediction Program Metric Report  

Science Conference Proceedings (OSTI)

The uncertainties in current estimates of anthropogenic radiative forcing are dominated by the effects of aerosols, both in relation to the direct absorption and scattering of radiation by aerosols and also with respect to aerosol-related changes in cloud formation, longevity, and microphysics (See Figure 1; Intergovernmental Panel on Climate Change, Assessment Report 4, 2008). Moreover, the Arctic region in particular is especially sensitive to changes in climate with the magnitude of temperature changes (both observed and predicted) being several times larger than global averages (Kaufman et al. 2009). Recent studies confirm that aerosol-cloud interactions in the arctic generate climatologically significant radiative effects equivalent in magnitude to that of green house gases (Lubin and Vogelmann 2006, 2007). The aerosol optical depth is the most immediate representation of the aerosol direct effect and is also important for consideration of aerosol-cloud interactions, and thus this quantity is essential for studies of aerosol radiative forcing.

C Flynn; AS Koontz; JH Mather

2009-09-01T23:59:59.000Z

471

Time-series analysis for the episodic production and transport of methane from the Glacial Lake Agassiz peatlands, northern Minnesota. Final report  

SciTech Connect

The large peat basins of North America are an important reservoir in the global carbon cycle and a significant source of atmospheric methane. The authors investigated carbon cycling in the Glacial Lake Agassiz peatlands (GLAP) of Minnesota. Initially in 1990, they identified a dramatic change in the concentration of methane in the pore-waters of the raised bogs in the GLAP during an extreme drought. This methane dissipated when the drought broke in 1991 and the occurrence of deep methane is related to changes in the direction of groundwater flow in the peat column. The production of methane and its diffusive loss to the atmosphere was modeled and was about 10 times less than that measured directly in chambers at the land surface. It is clear from the reversals in hydraulic heat, changes in pore-water chemical composition over time, and paleostratigraphic markers, that regional ground water flow systems that are controlled by climate change are unexpectedly a major control over methanogenesis and carbon cycling in GLAP. Seismic profiles made showed that buried bedrock ridges particularly deflect regional groundwater flow upwards towards the land surface and towards raised bog landforms. In addition, high-resolution GPS measurements from data stations funded by this DOE project have shown this year that the peakland land surface elevation changes daily on a scale of cms, and seasonally on a scale of 10s of cm. This most recent observation is exciting because it may reflect episodic degassing of free phase methane from the peat column to the atmosphere, a source for methane previously unaccounted for by methane researchers.

Siegel, D.I.

1998-01-01T23:59:59.000Z

472

Distinguished Lecture Series  

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

Distinguished Lecture Series Distinguished Lecture Series Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon October 22, 2012 - 12:00pm...

473

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

474

Testing for Drift in a Time Series  

E-Print Network (OSTI)

;c6#28; #16;t @ #22;i#16;}#4;|#16;?} u#3;?U|#16;L?c t#3;U#4; @t |#4;i #18;@h|*i|| #22;#16;?_L#22;c #25;E#12;c6#28; #3; m#12; m*E6n #28;c @?_ e #14;E#12;#28; #16;t |#4;i t@4T*i @#3;|LUL#15;@h#16;@?Ui Lu |#4;i hit#16;_#3;@*tc {+ | #3; e qc...

Busetti, Fabio; Harvey, Andrew C

2004-06-16T23:59:59.000Z

475

A Time Series of Agulhas Undercurrent Transport  

Science Conference Proceedings (OSTI)

A 550-day record of Agulhas Undercurrent transport between March 2003 and August 2004 is constructed from five deep moorings placed on the continental shelf off South Africa at nominally 32S. The vertical and lateral scales of the undercurrent ...

Lisa M. Beal

2009-10-01T23:59:59.000Z

476

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

477

science_series_map  

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

Science Series in CEBAF Center * The Science Series begins at 7:00 PM and typically ends near 8:00 PM * Park in the CEBAF Center parking lot * Enter CEBAF Center through the south...

478

ARM - Datastreams - irt200ms  

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

Australia ARM Mobile Facility GRW M1 Browse Data Graciosa Island, Azores, Portugal OLI M1 Browse Data Oliktok Point, Alaska PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1...

479

ARM - Datastreams - nfov2ch  

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

Shouxian, Anhui, China PGH M1 Browse Data ARIES Observatory, Nainital, Uttarkhand, India PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1 PYE M1 Browse Data Point Reyes, CA...

480

ARM - Datastreams - aosclap3w  

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

ARIES Observatory, Nainital, Uttarkhand, India PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1 Contact(s) Yin-Nan Lee (631) 344-3294 ynlee@bnl.gov Gunnar Senum (631)...

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.


481

ARM - Datastreams - vceil25k  

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

ARIES Observatory, Nainital, Uttarkhand, India PVC M1 Browse Data Highland Center, Cape Cod MA; AMF 1 PYE M1 Browse Data Point Reyes, CA SBS M1 Browse Data Steamboat Springs CO,...

482

ARM - Datastreams - sirs60s  

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

and Infrared Radiation Station (SIRS): 60-sec data Active Dates 2001.01.01 - 2003.04.16 Measurement Categories Radiometric Originating Instrument Solar and Infrared Radiation...

483

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

484

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

485

SERIES B: Operations Research  

E-Print Network (OSTI)

Tokyo Institute of Technology. SERIES B: Operations ... Department of Computer Science, The University of Electro-Communications,. Chofugaoka, Chofu-Shi...

486

Nuclear Science Series: Radiochemistry  

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

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

487

Testing time symmetry in time series using data compression dictionaries  

E-Print Network (OSTI)

1978). [12] It is a pre?x dictionary: for any codeword w =1 s 2 . . . s L in the dictionary, all pre?xes of w, e.g. ,j ? L are also in the dictionary. Parsing is greedy: search

Kennel, Matthew B

2004-01-01T23:59:59.000Z

488

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.

489

SBOT NAICS Series  

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

SBOT NAICS Series 213112 Support Activities for Oil and Gas Operations NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY...

490

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

491

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

492

Illustration of a New Test for Detecting a Shift in Mean in Precipitation Series  

Science Conference Proceedings (OSTI)

Maronna and Yohai (1978) have introduced a new test for detecting a shift in mean in an independent time series, based on a second correlated series. Unlike other procedures commonly applied to precipitation series, this test is statistically ...

Kenneth W. Potter

1981-09-01T23:59:59.000Z

493

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.

494

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...

495

3800 Green Series Cost Elements  

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

Stoller - Legacy ManagementSustainable Acquisition (formerly EPP) Program 3800 Series Cost Elements01/30/2012 (Rev. 4)

496

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

497

Generalized series of Bessel functions  

Science Conference Proceedings (OSTI)

Known series of Bessel functions, currently available in handbooks, and many of Neumann type, are generalized to arbitrary order. The underlying result is a Poisson formula due to Titchmarsh. This formula gives rise to a Neumann series involving modified ... Keywords: Bessel functions, Neumann series

A. Al-Jarrah; K. M. Dempsey; M. L. Glasser

2002-06-01T23:59:59.000Z

498

Book Series ontos mathematical logic  

E-Print Network (OSTI)

Book Series ontos mathematical logic Information for Authors Edited by Wolfram Pohlers (Münster sheet. The books of this new series will be published in hardcover (except of student handbooks) and will be available for at least ten years. The books of this series will be distributed in Middle Europe by ontos

Schindler, Ralf

499

Analyzing the Impacts of Frequency and Severity of Forest Fire on the Recovery of Disturbed Forest using Landsat Time Series and EO-1 Hyperion in the Southern Brazilian Amazon  

Science Conference Proceedings (OSTI)

Estimation of fire impacts and forest recovery using remote sensing is difficult because of the heterogeneity of fire history (frequency, severity, and time since last fire) across burned forest landscapes. The authors analyzed impacts of fire ...

Izaya Numata; Mark A. Cochrane; Lnio S. Galvo

2011-05-01T23:59:59.000Z

500

Jefferson Lab Science Series - Holograms  

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

Clocks and Timekeeping Previous Video (Clocks and Timekeeping) Science Series Video Archive Next Video (Which Way is Up?) Which Way is Up? Holograms Mr. Paul Christie - Liti...