National Library of Energy BETA

Sample records for time series datastreams

  1. ARM - Instrument Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DatastreamsAerosols

  2. ARM - Instrument Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DatastreamsCloud Properties

  3. ARM - Instrument Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DatastreamsRadiometric

  4. ARM - Instrument Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DatastreamsSurface Properties

  5. ARM - Datastreams - moltsedassndclass0

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsmoltsedassndclass0 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 : MOLTSEDASSNDCLASS0 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., basic soundings, params, stations Active Dates 1997.05.31 - 1999.09.27 Measurement Categories Atmospheric State Originating Instrument Model Output Location Time Series (MOLTS) Measurements The

  6. ARM XDC Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    StreamsModel Output Location Time Series Documentation MOLTS 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 Model Output Location Time Series (MOLTS) Information updated on July 12, 2005, 2:31 pm GMT General Data Description The Model Output Location Time Series (MOLTS) data are provided by the National Centers for Environmental Prediction (NCEP). Currently there are over

  7. ARM XDC Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 August 12, 2015, 4:30 pm GMT General Data Description The Multi-functional Transport Satellite (MTSAT) series fulfills two functions: a meteorological function by the Japan Meteorological Agency

  8. X Time Series

    Energy Savers [EERE]

    11 Figure 5-11: 1-Hour Ozone Time Series Observed (C506) v. Predicted (CAMx) for WRF AACOG Base Case Run 3, 2006 5-12 5.3.2 Hourly NO X Time Series Time series plots of modeled and predicted hourly NO X for each monitor located in the San Antonio MSA were constructed. The model over predicted NO X emissions at the C58 monitor on almost every day during the June 2006 episode. The average predicted hourly NO X was 7.3 ppb, while the average observed hourly NO X was only 3.9 ppb. Likewise, the

  9. ARM XDC Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    StreamsGeostationary Meteorological Satellite Documentation GMS 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 Geostationary Meteorological Satellite (GMS) Information updated on January 4, 2010, 9:49 pm GMT General Data Description GMS-5 was part of a series of Japanese geostationary satellites stationed over the Western Pacific (140°E) from 1995-03 through 2003-05-21.

  10. Time Series Database

    Energy Science and Technology Software Center (OSTI)

    2007-11-02

    TSDB is a Python module for storing large volumes of time series data. TSDB stores data in binary files indexed by a timestamp. Aggregation functions (such as rate, sum, avg, etc.) can be performed on the data, but data is never discarded. TSDB is presently best suited for SNMP data but new data types are easily added.

  11. ARM - Datastreams - tlcv

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamstlcv 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 : TLCV Time-lapse cloud video (TLCV): qual. sky images, typ. ea 4-8 sec, Quicktime movies Active Dates 1997.09.15 - 2001.09.14 Measurement Categories Cloud Properties Originating Instrument Time-Lapsed Cloud Video (TLCV) Measurements The measurements below provided by this product are those considered

  12. ARM XDC Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 September 22, 2014, 6:12 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

  13. ARM XDC Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  14. ARM - Datastreams - snodep

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Example snodep Archive Data Plot Example snodep Archive Data Plot Datastream : SNODEP Snow depth Active Dates 2001.04.01 - 2003.10.25 Measurement Categories Atmospheric State...

  15. ARM - Datastreams - tsiskycover

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Archive Data Plot Example tsiskycover Archive Data Plot Datastream : TSISKYCOVER Total Sky Imager (TSI): fractional sky coverage Active Dates 2000.07.02 - 2016.01.06 Measurement...

  16. ARM - Datastreams - xsacrhsrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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...

  17. ARM - Datastreams - thwaps

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  18. ARM - Datastreams - 60nwssurf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Send Datastream : 60NWSSURF National Weather Service (NWS) surface meteorology data: 60-minute averages Active Dates 1993.07.01 - 1996.06.30 Measurement Categories...

  19. ARM - Datastreams - dlppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLPPI Doppler Lidar - Plan Position Indicator Active Dates 2010.10.28 - 2016.01.06 Measurement...

  20. ARM - Datastreams - dlcal1

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLCAL1 Doppler Lidar - calibration scan 1 Active Dates 2010.10.30 - 2015.07.22 Measurement...

  1. ARM - Datastreams - dlrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 - 2015.08.24 Measurement...

  2. ARM - Datastreams - dlcal2

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLCAL2 Doppler Lidar - calibration scan 2 Active Dates 2010.10.21 - 2016.01.06 Measurement...

  3. ARM - Datastreams - dlusr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLUSR Doppler Lidar -- ? user information ? Active Dates 2012.07.09 - 2013.07.03 Measurement...

  4. ARM - Datastreams - dlrhi2

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLRHI2 Doppler Lidar - Patrial Range-Height-Indicator scan Active Dates 2010.10.21 - 2010.11.21...

  5. ARM - Datastreams - dlfpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLFPT Doppler Lidar - Fixed Pointing mode Active Dates 2010.10.21 - 2016.01.06 Measurement...

  6. ARM - Datastreams - 60wpdnrass

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1-888-ARM-DATA. Send Datastream : 60WPDNRASS Wind Profiler Demo Network (WPDN): RASS virtual temperature data, 60-min Active Dates 1995.02.02 - 2002.02.26 Measurement Categories...

  7. ARM - Datastreams - 50rwptemp

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1-888-ARM-DATA. Send Datastream : 50RWPTEMP 50-MHz Radar Wind ProfilerRASS (RWP50): virtual temperature profile data Active Dates 1997.05.19 - 2001.03.31 Measurement Categories...

  8. ARM - Datastreams - surflog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    us at 1-888-ARM-DATA. Send Datastream : SURFLOG Surface vegetation information from SGP Meta Data System (MDS) Active Dates 1995.10.24 - 2002.04.25 Measurement Categories Surface...

  9. ARM - Datastreams - bsrn

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : BSRN Baseline Solar Radiation Network (BSRN): solar irradiances Active Dates ...

  10. ARM - Datastreams - sirs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Send us a note below or call us at 1-888-ARM-DATA. Send Example sirs Archive Data Plot Example sirs Archive Data Plot Datastream : SIRS Solar and Infrared Radiation Station (SIRS): ...

  11. ARM - Datastreams - rp

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1-888-ARM-DATA. Send Datastream : RP Roll (rotation around the bow-to-stern axis) and Pitch (vertical motion of the bow) for a boat or ship afloat Active Dates 2012.11.02 -...

  12. ARM - Datastreams - aoscaps

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsaoscaps 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 Error occurred. No datastream found.

  13. ARM - Datastreams - tdmahyg

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : TDMAHYG Tandem Differential Mobility Analyzer: hygroscopic growth rates Active Dates 2005.10.07 -...

  14. ARM - Datastreams - tdmasize

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : TDMASIZE Tandem Differential Mobility Analyzer: size-resolved concentrations Active Dates 2005.10.07 -...

  15. ARM - Datastreams - tsicldmask

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    note below or call us at 1-888-ARM-DATA. Send Datastream : TSICLDMASK Total Sky Imager (TSI): cloud decision images, PNG format Active Dates 2000.07.02 - 2016.01.04 Measurement...

  16. ARM - Datastreams - mwrp

    Office of Scientific and Technical Information (OSTI)

    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 -...

  17. ARM - Datastreams - 30ebbr

    Office of Scientific and Technical Information (OSTI)

    Archive Data Plot Datastream : 30EBBR Energy Balance Bowen Ratio (EBBR) station: surf. heat flux and related data, 30-min Active Dates 1993.07.04 - 2016.02.07 Measurement...

  18. ARM - Datastreams - surthref

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 - 2014.09.15...

  19. ARM - Datastreams - gms5

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    below or call us at 1-888-ARM-DATA. Send Datastream : GMS5 GMS-5: visible 1.25-km res., IR 5-km resolution Active Dates 1996.10.11 - 2003.02.16 Measurement Categories Radiometric...

  20. ARM - Datastreams - 60ksumeso

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    you Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 60KSUMESO Kansas Mesonet (High Plains Climate Center): surface met. & radiation data, 60-min Active...

  1. ARM - Datastreams - avhrrdar

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    a note below or call us at 1-888-ARM-DATA. Send Datastream : AVHRRDAR AVHRR images for Darwin from BOM Active Dates 2003.05.01 - 2009.06.05 Measurement Categories Cloud Properties...

  2. ARM - Datastreams - ncepgfsdarsfc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    us at 1-888-ARM-DATA. Send Datastream : NCEPGFSDARSFC NCEP GFS: surface variables at Darwin Active Dates 2002.09.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud...

  3. ARM - Datastreams - ncepgfsdarflx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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...

  4. ARM - Datastreams - 1290bsrwpprecipavg

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 - 2016.05.12 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements

  5. ARM - Datastreams - wsacrspeccmaskcopol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamswsacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.5439/1150288 [ 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 : WSACRSPECCMASKCOPOL W-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

  6. ARM - Datastreams - wsacrspeccmaskxpol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamswsacrspeccmaskxpol Documentation Data Quality Plots Citation DOI: 10.5439/1150289 [ 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 : WSACRSPECCMASKXPOL W-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

  7. ARM - Datastreams - xsacrspeccmaskcopol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsxsacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.5439/1150301 [ 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 : XSACRSPECCMASKCOPOL X-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

  8. ARM - Datastreams - xsacrspeccmaskxpol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsxsacrspeccmaskxpol Documentation Data Quality Plots Citation DOI: 10.5439/1150302 [ 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 : XSACRSPECCMASKXPOL X-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

  9. ARM - Datastreams - avhrrhovmuller

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsavhrrhovmuller 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 : AVHRRHOVMULLER AVHRR: Hovmuller diagrams for Manus and Nauru Active Dates 1996.11.01 - 2002.07.01

  10. ARM - Datastreams - avhrrkwaj12

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 : AVHRRKWAJ12 AVHRR: Kwajulein region, NOAA-12 Sattelite Active Dates 2000.07.12 - 2002.09.1

  11. ARM - Datastreams - avhrrkwaj14

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 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 : AVHRRKWAJ14 AVHRR: Kwajulein region, NOAA-14 Sattelite Active Dates 2000.07.12 - 2007.01.3

  12. ARM - Datastreams - avhrrkwaj16

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 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 : AVHRRKWAJ16 AVHRR: Kwajulein region, NOAA-16 Sattelite Active Dates 2001.03.02 - 2005.08.29

  13. ARM - Datastreams - avhrrkwaj17

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 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 : AVHRRKWAJ17 AVHRR: Kwajulein region, NOAA-17 Sattelite Active Dates 2002.09

  14. ARM - Datastreams - avhrrkwaj18

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 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 : AVHRRKWAJ18 AVHRR: Kwajulein region, NOAA-18 Sattelite Active Dates 2005.10

  15. ARM - Datastreams - 05okm

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 - 2016.05.11 Measurement Categories Atmospheric State, Radiometric Originating Instrument Oklahoma Mesonet (OKM) Description These data can only be distributed to ARM scientists. ARM scientists

  16. ARM - Datastreams - 06fslwpdnmet

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    fslwpdnmet 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 : 06FSLWPDNMET Wind Profiler Demo Network (WPDN): 6-min meteorological data Active Dates 2002.03.19 - 2014.11.05 Measurement Categories Atmospheric State, Surface Properties Originating Instrument Wind Profiler Demo Network (WPDN) Measurements The measurements below provided by this product are

  17. ARM - Datastreams - 06fslwpdnrass

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    fslwpdnrass 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 : 06FSLWPDNRASS Wind Profiler Demo Network (WPDN): 6-min RASS data Active Dates 2002.03.20 - 2014.11.05 Measurement Categories Atmospheric State Originating Instrument Wind Profiler Demo Network (WPDN) Measurements The measurements below provided by this product are those considered

  18. ARM - Datastreams - 1290bsrwpwindavg

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    bsrwpwindavg Documentation Data Quality Plots Citation DOI: 10.5439/1095573 [ 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 : 1290BSRWPWINDAVG 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Active Dates 2012.12.06 - 2016.05.12 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements

  19. ARM - Datastreams - 1290rwpprecipspec

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rwpprecipspec 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 : 1290RWPPRECIPSPEC 1290-MHz Radar Wind Profiler, precipitation spectra data Active Dates 2014.03.05 - 2015.12.01 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

  20. ARM - Datastreams - 60fslwpdnmet

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    fslwpdnmet 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 : 60FSLWPDNMET Wind Profiler Demo Network (WPDN): meteorology data, 60-min Active Dates 2002.03.19 - 2014.11.05 Measurement Categories Atmospheric State, Surface Properties Originating Instrument Wind Profiler Demo Network (WPDN) Measurements The measurements below provided by this product are

  1. ARM - Datastreams - 60fslwpdnrass

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    fslwpdnrass 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 : 60FSLWPDNRASS Wind Profiler Demo Network (WPDN): RASS data, 60-min Active Dates 2002.03.20 - 2014.11.05 Measurement Categories Atmospheric State Originating Instrument Wind Profiler Demo Network (WPDN) Measurements The measurements below provided by this product are those considered

  2. ARM - Datastreams - 60wpdnsurf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    wpdnsurf 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 : 60WPDNSURF Wind Profiler Demo Network (WPDN): surface meterology data, 60-min Active Dates 1994.01.21 - 2002.02.26 Measurement Categories Atmospheric State Originating Instrument Wind Profiler Demo Network (WPDN) Measurements The measurements below provided by this product are those considered

  3. ARM - Datastreams - 60wpdnwnds

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    wpdnwnds 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 : 60WPDNWNDS Wind Profiler Demo Network (WPDN): 60-minute consensus average wind components Active Dates 1994.01.21 - 2002.02.26 Measurement Categories Atmospheric State Originating Instrument Wind Profiler Demo Network (WPDN) Measurements The measurements below provided by this product are those

  4. ARM - Datastreams - 915issrwpwindcon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  5. ARM - Datastreams - acars

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  6. ARM - Datastreams - aeriengineer

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 - 2016.05.12 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI)

  7. ARM - Datastreams - allruc60

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsallruc60 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 : ALLRUC60 Rapid Update Cycle (RUC) model: output, 60 km resolution Active Dates 1996.05.08 - 1998.04.23 Measurement Categories Atmospheric State Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered

  8. ARM - Datastreams - assistsummary

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  11. ARM - Datastreams - avhrr12

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  18. ARM XDC Datastreams

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  1. ARM XDC Datastreams

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  8. ARM XDC Datastreams

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  12. ARM XDC Datastreams

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  16. ARM - Datastreams - ecmwfsupp

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    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 - 2015.09.30 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Model Data (ECMWF) Description

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    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 : GOES10 GOES-10: channels 1-5 Active Dates 2007.12.06 - 2007.12.11 Measurement Categories Radiometric Originating Instrument Geostationary Operational Environmental Satellites (GOES) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement

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    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 : GOES12 GOES-12: channels 1-5 Active Dates 2003.03.30 - 2010.04.14 Measurement Categories Radiometric Originating Instrument Geostationary Operational Environmental Satellites (GOES) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement

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    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 : GOES13 GOES-13: channels 1-5 Active Dates 2008.12.15 - 2016.05.13 Measurement Categories Radiometric Originating Instrument Geostationary Operational Environmental Satellites (GOES) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement

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    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 : GOES14 GOES-14: channels 1-5 Active Dates 2012.09.24 - 2013.06.11 Measurement Categories Radiometric Originating Instrument Geostationary Operational Environmental Satellites (GOES) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement

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  5. ARM - Datastreams - masc

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    Datastreamsmasc 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 : MASC Multi-angle Snowflake Camera Active Dates 2015.10.25 - 2016.05.04 Measurement Categories Cloud Properties Originating Instrument Multi-Angle Snowflake Camera (MASC) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units

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  9. ARM - Datastreams - ncepgfsatkzprof

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    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  18. ARM - Datastreams - pws

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  1. ARM - Datastreams - toms

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  2. ARM - Datastreams - sirs60s

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  3. ARM - Datastreams - skyrad60s

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    skyrad60s Archive Data Plot Example skyrad60s Archive Data Plot Datastream : SKYRAD60S Sky radiation sensor: 60-second downwelling irradiances Active Dates 1996.10.09 -...

  4. ARM - Datastreams - 15okm

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  6. ARM - Datastreams - 50rwpwind

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  7. ARM - Datastreams - 50rwpwindspec

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  8. ARM XDC Datastreams

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  13. ARM XDC Datastreams

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  14. ARM XDC Datastreams

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  19. ARM XDC Datastreams

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  20. ARM XDC Datastreams

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  1. ARM XDC Datastreams

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  3. ARM XDC Datastreams

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  4. ARM - Datastreams - ruc60

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsruc60 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 : RUC60 Rapid Update Cycle (RUC) model: output, 60 km grid covering Southern Great Plains Active Dates 1996.05.08 - 1998.04.23 Measurement Categories Atmospheric State Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are

  5. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

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

    2010-10-01

    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.

  6. ARM - DOI Guidance for ARM Facility Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The format may depend on the journal or publication requirements, but at a minimum, ARM encourages users to include ARM datastream DOIs with temporal and geospatial information and ...

  7. ARM - Datastreams - avhrr14gacman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    gacman 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 : AVHRR14GACMAN Global Area Coverage 4-km resolution files for Manus

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  19. ARM - Datastreams - gms5hovmuller

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  20. ARM - Datastreams - goes7ir

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    ir 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 : GOES7IR GOES-7: infrared, channels 7, 10, 12

  1. ARM - Datastreams - goes7rad

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    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  6. ARM - Datastreams - smet60s

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  7. Integrated method for chaotic time series analysis

    DOE Patents [OSTI]

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

    1998-09-29

    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.

  8. Integrated method for chaotic time series analysis

    DOE Patents [OSTI]

    Hively, Lee M.; Ng, Esmond G.

    1998-01-01

    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.

  9. ARM - Datastreams - aeri01summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 - 2014.03.12 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only

  10. ARM - Datastreams - allruc20hybr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

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    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  15. ARM - Datastreams - aosaeth2spot

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsaosaeth2spot 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 : AOSAETH2SPOT Definition needed Active Dates 2015.09.30 - 2016.05.12 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

  16. ARM - Datastreams - aosccn1col

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    col 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 : AOSCCN1COL AOS: Cloud Condensation Nuclei Counter Active Dates 2014.01.25 - 2016.04.12 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

  17. ARM - Datastreams - aosclap3w

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsaosclap3w Documentation Data Quality Plots Citation DOI: 10.5439/1025151 [ 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 : AOSCLAP3W AOS: 3 wavelength Continous Light Absorption Photometer Active Dates 2011.03.01 - 2016.05.12 Measurement Categories Aerosols Originating Instrument Continuous Light Absorption Photometer (CLAP) Measurements Only measurements

  18. ARM - Datastreams - avhrr10rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0rad 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 : AVHRR10RAD AVHRR: radiance, 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.

  19. ARM - Datastreams - avhrr11rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1rad 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 : AVHRR11RAD AVHRR: radiance, NOAA-11 Satellite Active Dates 1994.07.21 - 1998.10.13 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant.

  20. ARM - Datastreams - avhrr12lacman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    lacman 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 : AVHRR12LACMAN AVHRR (NOAA 12), 1-km res., local area coverage of Manus from Kwajalein, provided by Aeromet Active Dates 2002.04.19 - 2002.09.07

  1. ARM - Datastreams - avhrr12lacnau

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    lacnau 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 : AVHRR12LACNAU AVHRR (NOAA 12),1-km res., local area coverage of Nauru from Kwajalein, provided by Aeromet Active Dates 2002.04.16 - 2002.09.10

  2. ARM - Datastreams - avhrr12rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2rad 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 : AVHRR12RAD AVHRR: radiance, 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.

  3. ARM - Datastreams - avhrr14rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4rad 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 : AVHRR14RAD AVHRR: radiance, NOAA-14 Satellite Active Dates 1995.01.18 - 2007.03.12 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant.

  4. ARM - Datastreams - avhrr15rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5rad 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 : AVHRR15RAD AVHRR: radiance, NOAA-15 Satellite Active Dates 1998.11.10 - 2007.10.07 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant.

  5. ARM - Datastreams - avhrr16rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6rad 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 : AVHRR16RAD AVHRR (NOAA 16) radiance data Active Dates 2000.12.09 - 2007.04.01 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant.

  6. ARM - Datastreams - avhrr17rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rad 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 : AVHRR17RAD AVHRR (NOAA 17) radiance data Active Dates 2002.06.27 - 2007.10.07 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

  7. ARM - Datastreams - avhrr18rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rad 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 : AVHRR18RAD AVHRR (NOAA 18) radiance data Active Dates 2005.09.25 - 2007.04.01 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

  8. ARM - Datastreams - avhrr9rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rad 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 : AVHRR9RAD AVHRR: radiance, NOAA-9 Satellite Active Dates 1994.09.15 - 1995.08.02 Measurement Categories Radiometric Originating Instrument Advanced Very High Resolution Radiometer (AVHRR) Measurements The measurements below provided by this product are those considered scientifically relevant.

  9. ARM - Datastreams - isssonde10s

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsisssonde10s Documentation XDC documentation Data Quality Plots Citation DOI: 10.5439/1046192 [ 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 : ISSSONDE10S Integrated Sounding System (ISS): meteorological data vertical profile, 10-s resolution Active Dates 1996.03.01 - 2002.05.14 Measurement Categories Atmospheric State Originating Instrument Integrated

  10. ARM - Datastreams - nwsupa1s

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsnwsupa1s 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 : NWSUPA1S NWS profiles with 1-second resolution Active Dates 2006.11.13 - 2016.02.29 Measurement Categories Atmospheric State Originating Instrument National Weather Service Upper Air Measurements (NWSUPA) Measurements The measurements below provided by this product are those considered

  11. ARM - Datastreams - nwsupa6s

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsnwsupa6s 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 : NWSUPA6S NWS profiles with 6-second resolution Active Dates 1996.03.31 - 2012.05.31 Measurement Categories Atmospheric State Originating Instrument National Weather Service Upper Air Measurements (NWSUPA) Measurements The measurements below provided by this product are those considered

  12. ARM - Datastreams - ruc20hybr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  13. ARM - Datastreams - ruc20isob

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  14. ARM - Datastreams - synruc20isob

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamssynruc20isob 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 : SYNRUC20ISOB Rapid Update Cycle (RUC) model: isobaric output, 20 km grid, averaged to 40 km 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

  15. ARM - Datastreams - twrcam40m

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamstwrcam40m Documentation Data Quality Plots Citation DOI: 10.5439/1025312 [ 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 : TWRCAM40M Forty Meter Tower: video camera Active Dates 2001.06.20 - 2016.05.11 Measurement Categories Surface Properties Originating Instrument Tower Camera (TWRCAM) Measurements The measurements below provided by this product are those

  16. ARM - Datastreams - aosccn100

    Office of Scientific and Technical Information (OSTI)

    um sizebin ( sizebin ) Droplet bin bounds sizebinbounds ( sizebin, bound ) Time offset from midnight time ( time ) Time cell bounds timebounds ( time, bound ) Time offset...

  17. ARM - Datastreams - sondewnpn

    Office of Scientific and Technical Information (OSTI)

    % rh ( time ) Atmospheric temperature Dry Bulb Temperature C tdry ( time ) Time offset from midnight seconds since 2003-07-07 00:00:00 0:00 time ( time ) Time offset from...

  18. ARM - Datastreams - mwrhf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    flag None surfacerainflag ( time ) Ambient surface relative humidity % surfacerelativehumidity ( time ) Ambient surface temperature degC surfacetemperature ( time ) Microwave...

  19. ARM - Datastreams - aosco

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time ) Time offset from basetime timeoffset ( time ) Valve position for mass flow controller 1 unitless valvepositionMFC1 ( time ) Valve position mass flow controller 2 ...

  20. ARM - Datastreams - aosso2

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... ( time ) Time offset from basetime timeoffset ( time ) Valve position for mass flow controller 1 unitless valvepositionMFC1 ( time ) Valve position mass flow controller 2 ...

  1. ARM - Datastreams - iapmfr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    by GPS, time in the form hhmmss. unitless gpstimeutc ( time ) Speed over ground ms groundspeed ( time ) Detector Temperature C headtemp ( time ) Second detector...

  2. ARM - Datastreams - rad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Resistance Kohms downlonghemispcaseresist ( time ) Downwelling Pyrgeometer Dome Thermistor Resistance kohm downlonghemispdomeresist ( time ) Downwelling Longwave...

  3. ARM - Datastreams - 50rwpwindmom

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MHz sampr ( time ) Individual spectrum integration time s sitime ( time ) Signal to noise ratio dB*100 snr ( time, rangegate ) Average time per average spectra. Also known as...

  4. ARM - Datastreams - 1290rwpprecipcon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    gate spacing m rgs ( time, power ) Sampling rate MHz sampr ( time, power ) Signal to noise ratio dB snr ( time, rangegate, power ) Time domain integration time ms tditime (...

  5. ARM - Datastreams - 1290rwpprecipmom

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MHz sampr ( time ) Individual spectrum integration time s sitime ( time ) Signal to noise ratio dB*100 snr ( time, rangegate ) Average time per average spectra. Also known as...

  6. ARM - Datastreams - swacrvpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  7. ARM - Datastreams - swacrfpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  8. ARM - Datastreams - swacrvad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  9. ARM - Datastreams - swacrhsrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  10. ARM - Datastreams - swacrblrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  11. ARM - Datastreams - swacrppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  12. ARM - Datastreams - swacrcwrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  13. ARM - Datastreams - mwacr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( height ) North latitude degreeN lat ( time ) East longitude degreeE lon ( time ) Radar Doppler Mean Doppler velocity ms meandopplervelocity ( time, height ) Receiver...

  14. ARM - Datastreams - swacrcal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    time ) Rate of pedestal motion in the elevation degreessec Elevationscanrate ( time ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, rangegates )...

  15. ARM - Datastreams - rain

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0:00 basetime Record with error unitless errorlatch ( time ) Frequency average, sensor 1 Hz frequency1 ( time ) Frequency average, sensor 2 Hz frequency2 ( time ) Frequency...

  16. ARM - Datastreams - 50rwptempcon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time ) Range gate spacing m rgs ( time ) Sampling rate MHz sampr ( time ) Signal to noise ratio, vertical wind velocity dB snrvertv ( time, height ) Signal to noise ratio,...

  17. ARM - Datastreams - prprad

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    pyrgeometer degC downlonghemispcasetemp ( time ) Downwelling pyrgeometer dome thermistor temperature, pyrgeometer degC downlonghemispdometemp ( time ) Standard...

  18. ARM - Datastreams - aoscpcf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Dilution slope unitless dilutionslope Dilution flow valve position unitless dilutionvalveposition ( time ) Flow read sccm flowread ( time ) Flow setpoint sccm ...

  19. ARM - Datastreams - wsacrcwrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    range ) targetscanrateforsweep degrees per second scanrate ( time ) Signal-to-noise ratio, horizontal channel dB signaltonoiseratiocopolarh ( time, range )...

  20. ARM - Datastreams - kasacrslr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    range ) targetscanrateforsweep degrees per second scanrate ( time ) Signal-to-noise ratio, horizontal channel dB signaltonoiseratiocopolarh ( time, range )...

  1. ARM - Datastreams - wsacrslr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    range ) targetscanrateforsweep degrees per second scanrate ( time ) Signal-to-noise ratio, horizontal channel dB signaltonoiseratiocopolarh ( time, range )...

  2. ARM - Datastreams - wsacrblrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    range ) targetscanrateforsweep degrees per second scanrate ( time ) Signal-to-noise ratio, horizontal channel dB signaltonoiseratiocopolarh ( time, range )...

  3. ARM - Datastreams - wsacrcrraster

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    range ) targetscanrateforsweep degrees per second scanrate ( time ) Signal-to-noise ratio, horizontal channel dB signaltonoiseratiocopolarh ( time, range )...

  4. ARM - Datastreams - wsacrvpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    range ) targetscanrateforsweep degrees per second scanrate ( time ) Signal-to-noise ratio, horizontal channel dB signaltonoiseratiocopolarh ( time, range )...

  5. ARM - Datastreams - xsaprsur

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    polarization Differential reflectivity (ZDR) dB differentialreflectivity ( time, range ) Radar Doppler Doppler spectrum width meterspersecond dopplerspectrumwidth ( time,...

  6. ARM - Datastreams - xsaprrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    polarization Differential reflectivity (ZDR) dB differentialreflectivity ( time, range ) Radar Doppler Doppler spectrum width meterspersecond dopplerspectrumwidth ( time,...

  7. ARM - Datastreams - xsaprppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    polarization Differential reflectivity (ZDR) dB differentialreflectivity ( time, range ) Radar Doppler Doppler spectrum width meterspersecond dopplerspectrumwidth ( time,...

  8. ARM - Datastreams - xsaprvpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    polarization Differential reflectivity (ZDR) dB differentialreflectivity ( time, range ) Radar Doppler Doppler spectrum width meterspersecond dopplerspectrumwidth ( time,...

  9. ARM - Datastreams - gvr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    count sky3 ( time ) 183.3 +- 7 GHz sky signal count sky7 ( time ) 183.3 +- 14 GHz sky signal count sky14 ( time ) Microwave narrowband brightness temperature 183.3 +- 1 GHz...

  10. ARM - Datastreams - nav

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    latitude degreeN lat ( time ) East longitude degreeE lon ( time ) Surface condition Pitch: bow up positive degrees pitch ( time ) Pitch angular rate, bow up positive degreesec...

  11. ARM - Datastreams - mwacrspeccmaskcopol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    field unitless locatormask ( time, range ) East longitude degreeE lon ( time ) Ship pitch, axis starboard-to-port, positive is bow up degree pitch ( time ) Range (center of...

  12. ARM - Datastreams - tps

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 basetime Checksum unitless crc ( time, stringlen5 ) Fault indicator unitless faultind ( time ) Instrument...

  13. ARM - Datastreams - vdisdrops

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 basetime Hydrometeor Geometry Individual drop height as measured by camera A mm dropheighta ( time ) Hydrometeor...

  14. ARM - Datastreams - wsacrrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  15. ARM - Datastreams - wsacrppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  16. ARM - Datastreams - kasacrppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  17. ARM - Datastreams - xsacrcwrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width meters...

  18. ARM - Datastreams - xsacrppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  19. ARM - Datastreams - wsacrcrrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  20. ARM - Datastreams - xsacrslr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  1. ARM - Datastreams - xsacrrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  2. ARM - Datastreams - xsacrblrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  3. ARM - Datastreams - kasacrrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  4. ARM - Datastreams - xsacrzppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  5. ARM - Datastreams - 50rwptempmom

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    sampr ( time ) Mean sound speed ms; 100*%, see comment smdf ( time, height ) Signal to noise ratio dB*100 snr ( time, height ) Radar Doppler Spectral width ms; 100*%, see comment...

  6. ARM - Datastreams - wsacrcrcal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  7. ARM - Datastreams - xsacrvpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  8. ARM - Datastreams - xsacrcrraster

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    skypowercopol ( time ) Sky power, cross-polar dBm skypowerxpol ( time ) Signal-to-noise-ratio dB snr ( time, range ) Cloud particle size distribution Spectrum width ms...

  9. ARM - Datastreams - kazrpr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    snrcopol ( time, range ) Signal-to-noise ratio, cross-polar dB snrxpol ( time, range ) Radar Doppler Spectral width ms spectralwidth ( time, range ) Sweep number count sweep (...

  10. ARM - Datastreams - mmcrmom

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time ) Receiver Cal Check Level dB CalCheckLevel ( mode ) Receiver Cal Check Time Stamp s CalCheckTime ( mode ) Circular Depolarization Ratio dB CircularDepolarizationRatio (...

  11. ARM - Datastreams - prpfrsr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time ) Shortwave broadband total downwelling irradiance No-shadow record, mean signal from the broadband channel when no shadow is detected mV signalbroadband ( time )...

  12. ARM - Datastreams - sodar

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Variable Altitude above mean sea level m alt Backscatter, as total intensity of received signal, filtered and range-normalized unitless backscatter ( time, height ) Base time in...

  13. ARM - Datastreams - twr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    qcvaporpressuremean ( time, height ) Quality check results on field: Wind direction vector mean unitless qcwdirvecmean ( time, height ) Quality check results on field: Wind...

  14. ARM - Datastreams - aosghg

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    East longitude degreeE lon Value indicates state of the rotary valco valve (range 1 to 8) unitless mpvalveposition ( time ) Arbitrary status. unitless outletvalve ( time ) ...

  15. ARM - Datastreams - aosccn100

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    are larger than 10um count CCNoverflow ( time ) CCN Proportional valve voltage V CCNproportionalvalvevoltage ( time ) AOS CCN sample saturation setpoint value reported by ...

  16. ARM - Datastreams - aosccn200

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... second column count CCNoverflow2 ( time ) CCN Proportional valve voltage, first column V CCNproportionalvalvevoltage1 ( time ) CCN Proportional valve voltage, second column ...

  17. ARM - Datastreams - noaaaosccn100

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CCN OPC laser current mA CCNlasercurrent ( time ) CCN Proportional valve voltage V CCNproportionalvalvevoltage ( time ) AOS CCN sample saturation setpoint value reported by ...

  18. ARM - Datastreams - aosccn

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Measurement Units Variable First stage monitor voltage V (DC) CCNFirstStageMonitorVoltage ( time ) AOS CCN sample pressure hPa CCNPsample ( time ) CCN Proportional valve voltage ...

  19. ARM - Datastreams - aoscpcu

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ccmin dilutionflowsetpoint ( time ) Valve position, open or closed. Value of 1open, 0closed, -1error unitless dilutionvalveposition ( time ) Flow setpoint sccm ...

  20. ARM - Datastreams - sws

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    qctime ( time ) Quality check results on field: Calibrated spectrum unitless qczenspeccalib ( time, wavelength ) Shutter state (0:open, 1: closed) none shutterclosed (...

  1. ARM - Datastreams - kasacrawrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon Longitude degreeseast longitude Radar Doppler Mean Doppler velocity meters per second meandopplervelocity ( time, range...

  2. ARM - Datastreams - xsacrawrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon Longitude degreeseast longitude Radar Doppler Mean Doppler velocity meters per second meandopplervelocity ( time, range...

  3. ARM - Datastreams - kazrspeccmaskgexpol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) Signal-to-noise ratio dB signaltonoiseratio ( time, range ) Radar Doppler Spectra 10 * log(signal power in milliwatts) spectra ( numspectra,...

  4. ARM - Datastreams - wacrspeccmaskxpol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Units Variable Locator Mask for Spectra unitless LocatorMask ( time, heights ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, heights ) Calculated...

  5. ARM - Datastreams - wacrspeccmaskcopol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Units Variable Locator Mask for Spectra unitless LocatorMask ( time, heights ) Radar Doppler Mean Doppler Velocity ms MeanDopplerVelocity ( time, heights ) Calculated...

  6. ARM - Datastreams - wsacrawrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon Longitude degreeseast longitude Radar Doppler Mean Doppler velocity meters per second meandopplervelocity ( time, range...

  7. ARM - Datastreams - sashemfr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Units Variable Temperature of Si CCD AD board degC adtemperaturespectrometervis ( time ) Temperature of Si CCD AD board degC adtemperaturevis ( time ) Airmass unitless...

  8. ARM - Datastreams - sashevis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Collector internal dew point degC collectordewpoint ( time ) Collector internal relative humidity from TRH sensor % collectorrh ( time ) Collector internal temperature from TRH...

  9. ARM - Datastreams - sashenir

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Collector internal dew point degC collectordewpoint ( time ) Collector internal relative humidity from TRH sensor % collectorrh ( time ) Collector internal temperature from TRH...

  10. ARM - Datastreams - wacr

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    powerhotload ( time ) Transmit driver power sampled by receiver dBm powertransmitdriver ( time ) Quality check results on field: Mean Doppler Velocity unitless ...

  11. ARM - Datastreams - sebs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    seconds since 1970-1-1 0:00:00 0:00 basetime Battery voltage V batteryvoltage ( time ) Soil heat flow 1, corrected for soil moisture Wm2 corrsoilheatflow1 ( time ) ...

  12. ARM - Datastreams - 1290rwpwindcon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rangegate, power ) Signal to noise ratio, beam 3 dB snr3 ( time, rangegate, power ) Signal to noise ratio, beam 4 dB snr4 ( time, rangegate, power ) Horizontal wind...

  13. ARM - Datastreams - 50rwpwindcon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rangegate, power ) Signal to noise ratio, beam 1 dB snr1 ( time, rangegate, power ) Signal to noise ratio, beam 2 dB snr2 ( time, rangegate, power ) Horizontal wind...

  14. ARM - Datastreams - 915rwpwindcon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rangegate, power ) Signal to noise ratio, beam 3 dB snr3 ( time, rangegate, power ) Signal to noise ratio, beam 4 dB snr4 ( time, rangegate, power ) Horizontal wind...

  15. ARM - Datastreams - kazrspeccmaskgecopol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    port up deg roll ( time ) Signal-to-noise ratio dB signaltonoiseratio ( time, range ) Radar Doppler Spectra 10 lg(re 1 mW) spectra ( numspectra, speclength ) Radar Doppler...

  16. ARM - Datastreams - 915rwpprecipmom

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interpulse period us ipp ( time ) North latitude degreeN lat East longitude degreeE lon Radar Doppler Mean radial beam velocity ms; 100*%, see comment mdf ( time, rangegate )...

  17. ARM - Datastreams - mwrlos

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 basetime 23.8 GHz Blackbody signal count bb23 ( time ) 31.4 GHz Blackbody signal counts bb31 ( time ) 23.8 GHz...

  18. ARM - Datastreams - 50rwptempspec

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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...

  19. ARM - Datastreams - mplpolfs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    measurements Measurement Units Variable Altitude above mean sea level m alt Background signal, copol data countus backgroundsignalcopol ( time ) Background signal, cross pol...

  20. ARM - Datastreams - rphtilt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    basetime North latitude degreeN lat East longitude degreeE lon Surface condition Pitch angle reported by tilt table degrees pitch ( time ) Surface condition Roll angle...

  1. ARM - Datastreams - kazrspeccmaskhicopol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( range, bound ) Ship roll, axis along ship length, positive is port up deg roll ( time ) Radar Doppler Spectra 10 * log(signal power in milliwatts) spectra ( numspectra,...

  2. ARM - Datastreams - kazrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    positive for motion away from the instrument ms meandopplervelocity ( time, range ) Radar Doppler Mean doppler velocity, co-polarization ms meandopplervelocitycopol (...

  3. ARM - Datastreams - wsacrhsrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon longitude degreeE longitude Radar Doppler Radial mean Doppler velocity, positive for motion away from the instrument...

  4. ARM - Datastreams - kazrge

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    positive for motion away from the instrument ms meandopplervelocity ( time, range ) Radar Doppler Mean doppler velocity, co-polarization ms meandopplervelocitycopol (...

  5. ARM - Datastreams - kasacrzppi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon longitude degreeseast longitude Radar Doppler Radial mean Doppler velocity, positive for motion away from the instrument...

  6. ARM - Datastreams - kazrmd

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    positive for motion away from the instrument ms meandopplervelocity ( time, range ) Radar Doppler Mean doppler velocity, co-polarization ms meandopplervelocitycopol (...

  7. ARM - Datastreams - kasacrvpt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon longitude degreeE longitude Radar Doppler Radial mean Doppler velocity, positive for motion away from the instrument...

  8. ARM - Datastreams - kasacrhsrhi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( time, range ) East longitude degreeE lon longitude degreeE longitude Radar Doppler Radial mean Doppler velocity, positive for motion away from the instrument...

  9. ARM - Datastreams - saszefilterbands

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ( wavelength ) Shortwave spectral radiance Zenith radiance at 340 nm W(m2 um sr) zenithradiance340nm ( time ) Shortwave spectral radiance Zenith radiance at 355 nm W...

  10. ARM - Datastreams - irt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ) East longitude degreeE lon Quality check results on field: Internal Reference Infra-Red Temperature unitless qcrefirtemp ( time ) Quality check results on field: Surface...

  11. ARM - Datastreams - marinemet

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the TRH sensor in a forced ventilator (Young 43502) mounted on the met boom unitless qcairtempmeanadc ( time ) Quality check results on field: Air temperature mean, from...

  12. ARM - Datastreams - mwrp

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    equilibriumLevelPres ( time ) Frequency gHz frequency ( frequency ) Height meters above ground level height ( height ) Zenith-pointing infrared temperature at 10um K...

  13. ARM - Datastreams - pgs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    latitude degreeN lat East longitude degreeE lon Multi-port valve position indicates state of the rotary valco valve (range 1 to 8) unitless mpvalveposition ( time ) Outlet DAC ...

  14. ARM - Datastreams - rphcontrol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    basetime North latitude degreeN lat East longitude degreeE lon Surface condition Pitch angle of the ship, positive is bow up degree pitch ( time ) Surface condition Pitch...

  15. Multivariate Spatio-Temporal Clustering of Times-Series Data...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... The area change graph in Figure 2 could show trends in cloud and climate states from Atmospheric Radiation Measurements (ARMs) long time series measurements. When measurements are ...

  16. ARM - Datastreams - goes7ir8

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ir8 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 : GOES7IR8 GOES-7: infrared, channel 8

  17. ARM - Datastreams - goes7rad8

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rad8 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 : GOES7RAD8 GOES-7: radiance, channel 8

  18. ARM - Datastreams - aeri01ch1

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ch1 Documentation Data Quality Plots Citation DOI: 10.5439/1025138 [ 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 : AERI01CH1 Atmospheric Emitted Radiance Interferometer (AERI) 01: ch. 1 data Active Dates 1995.07.22 - 2014.03.12 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only measurements

  19. ARM - Datastreams - aeri01ch2

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ch2 Documentation Data Quality Plots Citation DOI: 10.5439/1025139 [ 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 : AERI01CH2 Atmospheric Emitted Radiance Interferometer (AERI) 01: ch. 2 data Active Dates 1995.07.22 - 2014.03.12 Measurement Categories Radiometric Originating Instrument Atmospheric Emitted Radiance Interferometer (AERI) Measurements Only measurements

  20. Multifractal analysis of time series generated by discrete Ito equations

    SciTech Connect (OSTI)

    Telesca, Luciano; Czechowski, Zbigniew; Lovallo, Michele

    2015-06-15

    In this study, we show that discrete Ito equations with short-tail Gaussian marginal distribution function generate multifractal time series. The multifractality is due to the nonlinear correlations, which are hidden in Markov processes and are generated by the interrelation between the drift and the multiplicative stochastic forces in the Ito equation. A link between the range of the generalized Hurst exponents and the mean of the squares of all averaged net forces is suggested.

  1. ARM - Datastreams - mwr3c

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    kPa surfacepressure ( time ) Ambient surface relative humidity % surfacerelativehumidity ( time ) Ambient surface absolute temperature degC surfacetemperature ( time )...

  2. STUDIES IN ASTRONOMICAL TIME SERIES ANALYSIS. VI. BAYESIAN BLOCK REPRESENTATIONS

    SciTech Connect (OSTI)

    Scargle, Jeffrey D.; Norris, Jay P.; Jackson, Brad; Chiang, James

    2013-02-20

    This paper addresses the problem of detecting and characterizing local variability in time series and other forms of sequential data. The goal is to identify and characterize statistically significant variations, at the same time suppressing the inevitable corrupting observational errors. We present a simple nonparametric modeling technique and an algorithm implementing it-an improved and generalized version of Bayesian Blocks-that finds the optimal segmentation of the data in the observation interval. The structure of the algorithm allows it to be used in either a real-time trigger mode, or a retrospective mode. Maximum likelihood or marginal posterior functions to measure model fitness are presented for events, binned counts, and measurements at arbitrary times with known error distributions. Problems addressed include those connected with data gaps, variable exposure, extension to piecewise linear and piecewise exponential representations, multivariate time series data, analysis of variance, data on the circle, other data modes, and dispersed data. Simulations provide evidence that the detection efficiency for weak signals is close to a theoretical asymptotic limit derived by Arias-Castro et al. In the spirit of Reproducible Research all of the code and data necessary to reproduce all of the figures in this paper are included as supplementary material.

  3. ARM - Datastreams - aospsap3w

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... flow setpoint sccm dilutionflowsetpoint ( time ) Dilution flow valve position unitless dilutionflowvalveposition ( time ) Filter ID, increments for each new filter count ...

  4. Chaotic time series analysis in economics: Balance and perspectives

    SciTech Connect (OSTI)

    Faggini, Marisa

    2014-12-15

    The aim of the paper is not to review the large body of work concerning nonlinear time series analysis in economics, about which much has been written, but rather to focus on the new techniques developed to detect chaotic behaviours in economic data. More specifically, our attention will be devoted to reviewing some of these techniques and their application to economic and financial data in order to understand why chaos theory, after a period of growing interest, appears now not to be such an interesting and promising research area.

  5. ARM - Datastreams - irt10m

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    ( time ) East longitude degreeE lon Quality check results on field: Surface Infra-Red Temperature unitless qcsfcirtemp ( time ) Quality check results on field: Surface...

  6. Time series power flow analysis for distribution connected PV generation.

    SciTech Connect (OSTI)

    Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J.; Smith, Jeff; Dugan, Roger

    2013-01-01

    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.

  7. ARM - Datastreams - sonicwind2d

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Show all measurements Measurement Units Variable Horizontal wind Wind direction vector mean degree SonicWDDUWVT ( time ) Wind direction vector mean standard deviation...

  8. ARM - Datastreams - irt25m

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1970-1-1 0:00:00 0:00 basetime Surface skin temperature Instantaneous Surface Infra-red Temperature K instsfcirtemp ( time ) Instantaneous Case Temperature K...

  9. ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream Title: ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream Authors: Timothy Martin ; Paytsar Muradyan ; Richard Coulter Publication Date: 2012-12-12 OSTI Identifier: 1095572 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  10. Time series analysis of Adaptive Optics wave-front sensor telemetry...

    Office of Scientific and Technical Information (OSTI)

    Time series analysis of Adaptive Optics wave-front sensor telemetry data Citation Details In-Document Search Title: Time series analysis of Adaptive Optics wave-front sensor ...

  11. ARM - Datastreams - 02taorad165e5n

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    n 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 : 02TAORAD165E5N Tropical Atmosphere Ocean Buoys: radiometric data at 165 E, 5 N, 2-min avg Active Dates 1997.06

  12. ARM - Datastreams - 02taorad165e5s

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    s 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 : 02TAORAD165E5S Tropical Atmosphere Ocean Buoys: radiometric data at 165 E, 5 S, 2-min avg Active Dates 1998.01

  13. ARM - Datastreams - 10taomet165e2s

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  14. ARM - Datastreams - 10taomet165e5n

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    n 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 : 10TAOMET165E5N Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 5 N

  15. ARM - Datastreams - 10taomet165e5s

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    s 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 : 10TAOMET165E5S Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 5 S

  16. ARM - Datastreams - 10taoprecip165e5n

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    n 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 : 10TAOPRECIP165E5N Tropical Atmosphere Ocean Buoys: precipitation data at 165 E, 5 N, 10-min avg Active Dates 1997.06

  17. ARM - Datastreams - 10taoprecip165e5s

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    s 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 : 10TAOPRECIP165E5S Tropical Atmosphere Ocean Buoys: precipitation data at 165 E, 5 S, 10-min avg Active Dates 1998.01

  18. ARM - Datastreams - 10taosalinity165e2n

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    n 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 : 10TAOSALINITY165E2N Tropical Atmosphere Ocean Buoys: salinity data at 165 E, 2 N, 10-min avg Active Dates 1999.03.01 - 2003

  19. ARM - Datastreams - 10taosalinity165e2s

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    s 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 : 10TAOSALINITY165E2S Tropical Atmosphere Ocean Buoys: salinity data at 165 E, 2 S, 10-min avg Active Dates 1999.03.01 - 2002

  20. ARM - Datastreams - 10taosalinity165e5n

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  1. ARM - Datastreams - 10taosalinity165e5s

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  2. ARM - Datastreams - 10taosalinity165e8n

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    n 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 : 10TAOSALINITY165E8N Tropical Atmosphere Ocean Buoys: salinity data at 165 E, 8 N, 10-min avg Active Dates 1999.03.01 - 2003

  3. ARM - Datastreams - 10taosalinity165e8s

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    s 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 : 10TAOSALINITY165E8S Tropical Atmosphere Ocean Buoys: salinity data at 165 E, 8 S, 10-min avg Active Dates 1999.03.01 - 2001

  4. Time series analysis of Adaptive Optics wave-front sensor telemetry data

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Time series analysis of Adaptive Optics wave-front sensor telemetry data Citation Details In-Document Search Title: Time series analysis of Adaptive Optics wave-front sensor telemetry data Time series analysis techniques are applied to wave-front sensor telemetry data from the Lick Adaptive Optics System. For 28 fully-illuminated subapertures, telemetry data of 4096 consecutive slope estimates for each subaperture are available. The primary problem is

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  6. ARM - Datastreams - 02taorad165e2n

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

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Karen Johnson; Nitin Bharadwaj

    1990-01-01

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

  1. Possible bias in tree-ring time series due to mortality (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Possible bias in tree-ring time series due to mortality Citation Details In-Document Search Title: Possible bias in tree-ring time series due to mortality This article discusses the possible bias in tree-ring time series studies extending from the year of sample collection to a prepollution period. The authors hypothesizes that normal mortality (i.e., mortality not associated with sudden disturbance) can cause reduced tree ring widths in years preceding actual tree death and

  2. Real-time Series Resistance Monitoring in PV Systems; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Deceglie, M. G.; Silverman, T. J.; Marion, B.; Kurtz, S. R.

    2015-06-14

    We apply the physical principles of a familiar method, suns-Voc, to a new application: the real-time detection of series resistance changes in modules and systems operating outside. The real-time series resistance (RTSR) method that we describe avoids the need for collecting IV curves or constructing full series-resistance-free IV curves. RTSR is most readily deployable at the module level on apply the physical principles of a familiar method, suns-Voc, to a new application: the real-time detection of series resistance changes in modules and systems operating outside. The real-time series resistance (RTSR) method that we describe avoids the need for collecting IV curves or constructing full series-resistance-free IV curves. RTSR is most readily deployable at the module level on micro-inverters or module-integrated electronics, but it can also be extended to full strings. Automated detection of series resistance increases can provide early warnings of some of the most common reliability issues, which also pose fire risks, including broken ribbons, broken solder bonds, and contact problems in the junction or combiner box. We describe the method in detail and describe a sample application to data collected from modules operating in the field.

  3. The application of complex network time series analysis in turbulent heated jets

    SciTech Connect (OSTI)

    Charakopoulos, A. K.; Karakasidis, T. E. Liakopoulos, A.; Papanicolaou, P. N.

    2014-06-15

    In the present study, we applied the methodology of the complex network-based time series analysis to experimental temperature time series from a vertical turbulent heated jet. More specifically, we approach the hydrodynamic problem of discriminating time series corresponding to various regions relative to the jet axis, i.e., time series corresponding to regions that are close to the jet axis from time series originating at regions with a different dynamical regime based on the constructed network properties. Applying the transformation phase space method (k nearest neighbors) and also the visibility algorithm, we transformed time series into networks and evaluated the topological properties of the networks such as degree distribution, average path length, diameter, modularity, and clustering coefficient. The results show that the complex network approach allows distinguishing, identifying, and exploring in detail various dynamical regions of the jet flow, and associate it to the corresponding physical behavior. In addition, in order to reject the hypothesis that the studied networks originate from a stochastic process, we generated random network and we compared their statistical properties with that originating from the experimental data. As far as the efficiency of the two methods for network construction is concerned, we conclude that both methodologies lead to network properties that present almost the same qualitative behavior and allow us to reveal the underlying system dynamics.

  4. Climate signal detection using wavelet transform: How to make a time series sing

    SciTech Connect (OSTI)

    Lau, K.M.; Weng, H.

    1995-12-01

    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 WT representation of a time series and a music score, the authors illustrate the importance of local versus global information in the time-frequency localization of climate signals. Examples of WT applied to climate data analysis are demonstrated using analytic signals as well as real climate time series. Results of WT applied to two climate time series-that is, a proxy paleoclimate time series with a 2.5-Myr deep-sea sediment record of {gamma}{sup 18}O and a 140-yr monthly record of Northern Hemisphere surface temperature-are presented. The former shows the presence of a 40-kyr and a 100-kyr oscillation and an abrupt transition in the oscillation regime at 0.7 Myr before the present, consistent with previous studies. The latter possesses a myriad of oscillatory modes f rom interannual (2-5 yr), interdecadal (10-12 yr, 20-25 yr, and 40-60 yr), and century ({approximately}180 yr) scales at different periods of the data record. In spite of the large difference in timescales, common features in time-frequency characteristics of these two time series have been identified. These features suggest that the variations of the earth`s climate are consistent with those exhibited by a nonlinear dynamical system under external forcings. 32 refs., 9 figs.

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

    SciTech Connect (OSTI)

    Sun, Xiaoran; School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 ; Small, Michael; Zhao, Yi; Xue, Xiaoping

    2014-06-15

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

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

    SciTech Connect (OSTI)

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

    2009-12-08

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

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

    SciTech Connect (OSTI)

    Koen, C.

    2013-03-01

    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.

  8. Dynamic driving cycle analyses using electric vehicle time-series data

    SciTech Connect (OSTI)

    Staackmann, M.; Liaw, B.Y.; Yun, D.Y.Y.

    1997-12-31

    Dynamic analyses of time-series data collected from real-world driving-cycle field testing of electric vehicles is providing evidence that certain driving-cycle conditions can significantly impact vehicle performance. In addition, vehicle performance results derived from time-series data show relationships that help to characterize driving cycles. Such findings confirm the advantages of time-series data over statistical data, in allowing correlation of vehicle performance characteristics with driving cycles. The driving-cycle vehicle performance analyses were performed using time-series data collected at the Electric and Hybrid Vehicle (EHV) National Data Center (NDC). A total of 71 EHVs are registered in the NDC and over 4,000 trips files have already been uploaded into the NDC database, as of may 1997. Numerous EHVs on multiple trips have been analyzed over the past two years. This paper presents the results of time-series data collected and analyzed for two specific vehicles of the overall program, to illustrate the value of time-series data. The data were analyzed to establish criteria for defining different driving cycles for the day-to-day trips made by vehicles in the program. The authors examined specific parameters such as average vehicle speed, number of stops during a trip, average distance traveled between stops, vehicle acceleration, and average DC kWh consumed per kilometer. Correlation among various parameters is presented in relationship to three driving cycles (highway, suburban, and urban), along with suggested ranges of parametric values defining the regimes of the different cycles.

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  10. Identification of periods of clear sky irradiance in time series of GHI measurements

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Reno, Matthew J.; Hansen, Clifford W.

    2016-01-18

    In this study, we present a simple algorithm for identifying periods of time with broadband global horizontal irradiance (GHI) similar to that occurring during clear sky conditions from a time series of GHI measurements. Other available methods to identify these periods do so by identifying periods with clear sky conditions using additional measurements, such as direct or diffuse irradiance. Our algorithm compares characteristics of the time series of measured GHI with the output of a clear sky model without requiring additional measurements. We validate our algorithm using data from several locations by comparing our results with those obtained from amore » clear sky detection algorithm, and with satellite and ground-based sky imagery.« less

  11. Wavelet-based surrogate time series for multiscale simulation of heterogeneous catalysis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Savara, Aditya Ashi; Daw, C. Stuart; Xiong, Qingang; Gur, Sourav; Danielson, Thomas L.; Hin, Celine N.; Pannala, Sreekanth; Frantziskonis, George N.

    2016-01-28

    We propose a wavelet-based scheme that encodes the essential dynamics of discrete microscale surface reactions in a form that can be coupled with continuum macroscale flow simulations with high computational efficiency. This makes it possible to simulate the dynamic behavior of reactor-scale heterogeneous catalysis without requiring detailed concurrent simulations at both the surface and continuum scales using different models. Our scheme is based on the application of wavelet-based surrogate time series that encodes the essential temporal and/or spatial fine-scale dynamics at the catalyst surface. The encoded dynamics are then used to generate statistically equivalent, randomized surrogate time series, which canmore » be linked to the continuum scale simulation. As a result, we illustrate an application of this approach using two different kinetic Monte Carlo simulations with different characteristic behaviors typical for heterogeneous chemical reactions.« less

  12. Time series analysis of AERI radiances for GCM testing and improvement

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

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

    Gasoline and Diesel Fuel Update (EIA)

    (EIA) The following is a list of EIA's principle data series that span time. Alternative Fuels Alternative transportation fuels (atf) and alternative fueled vehicles (AFV) Historical data on alternative fueled vehicles in use and alternate transportation fuel consumption. Data on the following items: 1) the number of alternative fueled vehicles (AFVs) supplied each year; i.e., new AFVs and conventionally fueled vehicles converted to operate on an alternate fuel; 2) for a limited set of fleet

  14. Time Series Evaluation of Radiation Portal Monitor Data for Point Source Discrimination.

    SciTech Connect (OSTI)

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

    2009-07-20

    A novel algorithm approach to evaluating data from PVT-based Radiation Portal Monitor (RPM) systems is established. Time series of data from RPMs are evaluated for the presence of sources of interest by comparing the background to the vehicle spectrum at each successive time step, isolating the contribution of anomalous radiation. At each time in the data sequence, a spectral distance index is calculated using this method. This method may dramatically reduce systematic fluctuations due to background attenuation by a vehicle (the so-called shadow shielding effect), and allow for time-series matched filtering for discrimination of compact anomalous sources. This is attempted by using a wavelet filter function of similar size to the expected source profile on the output of the spectral distance method. Performance of this method is shown by analysis (injection studies) of a number of real drive-through data sets taken at a U.S. port of entry. Spectra from isotopes of interest are injected into the data set, and the resultant benign and injected data sets are analyzed with gross-counting, spectral distance, and spatial algorithms. The combination of spectral and spatial analysis methods showed a significant increase to detection performance.

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

    SciTech Connect (OSTI)

    Plotkin, Steve; Stephens, Thomas; McManus, Walter

    2013-03-01

    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.

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

    SciTech Connect (OSTI)

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

    2013-03-01

    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.

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

    SciTech Connect (OSTI)

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

    1990-01-01

    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.

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

    SciTech Connect (OSTI)

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

    2014-05-28

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

  19. Analysis and synthesis of the variability of irradiance and PV power time series with the wavelet transform

    SciTech Connect (OSTI)

    Perpinan, O.; Lorenzo, E.

    2011-01-15

    The irradiance fluctuations and the subsequent variability of the power output of a PV system are analysed with some mathematical tools based on the wavelet transform. It can be shown that the irradiance and power time series are nonstationary process whose behaviour resembles that of a long memory process. Besides, the long memory spectral exponent {alpha} is a useful indicator of the fluctuation level of a irradiance time series. On the other side, a time series of global irradiance on the horizontal plane can be simulated by means of the wavestrapping technique on the clearness index and the fluctuation behaviour of this simulated time series correctly resembles the original series. Moreover, a time series of global irradiance on the inclined plane can be simulated with the wavestrapping procedure applied over a signal previously detrended by a partial reconstruction with a wavelet multiresolution analysis, and, once again, the fluctuation behaviour of this simulated time series is correct. This procedure is a suitable tool for the simulation of irradiance incident over a group of distant PV plants. Finally, a wavelet variance analysis and the long memory spectral exponent show that a PV plant behaves as a low-pass filter. (author)

  20. Genome-wide Selective Sweeps in Natural Bacterial Populations Revealed by Time-series Metagenomics

    SciTech Connect (OSTI)

    Chan, Leong-Keat; Bendall, Matthew L.; Malfatti, Stephanie; Schwientek, Patrick; Tremblay, Julien; Schackwitz, Wendy; Martin, Joel; Pati, Amrita; Bushnell, Brian; Foster, Brian; Kang, Dongwan; Tringe, Susannah G.; Bertilsson, Stefan; Moran, Mary Ann; Shade, Ashley; Newton, Ryan J.; Stevens, Sarah; McMcahon, Katherine D.; Mamlstrom, Rex R.

    2014-05-12

    Multiple evolutionary models have been proposed to explain the formation of genetically and ecologically distinct bacterial groups. Time-series metagenomics enables direct observation of evolutionary processes in natural populations, and if applied over a sufficiently long time frame, this approach could capture events such as gene-specific or genome-wide selective sweeps. Direct observations of either process could help resolve how distinct groups form in natural microbial assemblages. Here, from a three-year metagenomic study of a freshwater lake, we explore changes in single nucleotide polymorphism (SNP) frequencies and patterns of gene gain and loss in populations of Chlorobiaceae and Methylophilaceae. SNP analyses revealed substantial genetic heterogeneity within these populations, although the degree of heterogeneity varied considerably among closely related, co-occurring Methylophilaceae populations. SNP allele frequencies, as well as the relative abundance of certain genes, changed dramatically over time in each population. Interestingly, SNP diversity was purged at nearly every genome position in one of the Chlorobiaceae populations over the course of three years, while at the same time multiple genes either swept through or were swept from this population. These patterns were consistent with a genome-wide selective sweep, a process predicted by the ecotype model? of diversification, but not previously observed in natural populations.

  1. Experimental nonlinear dynamical studies in cesium magneto-optical trap using time-series analysis

    SciTech Connect (OSTI)

    Anwar, M. Islam, R.; Faisal, M.; Sikandar, M.; Ahmed, M.

    2015-03-30

    A magneto-optical trap of neutral atoms is essentially a dissipative quantum system. The fast thermal atoms continuously dissipate their energy to the environment via spontaneous emissions during the cooling. The atoms are, therefore, strongly coupled with the vacuum reservoir and the laser field. The vacuum fluctuations as well as the field fluctuations are imparted to the atoms as random photon recoils. Consequently, the external and internal dynamics of atoms becomes stochastic. In this paper, we have investigated the stochastic dynamics of the atoms in a magneto-optical trap during the loading process. The time series analysis of the fluorescence signal shows that the dynamics of the atoms evolves, like all dissipative systems, from deterministic to the chaotic regime. The subsequent disappearance and revival of chaos was attributed to chaos synchronization between spatially different atoms in the magneto-optical trap.

  2. Convergence of statistical moments of particle density time series in scrape-off layer plasmas

    SciTech Connect (OSTI)

    Kube, R. Garcia, O. E.

    2015-01-15

    Particle density fluctuations in the scrape-off layer of magnetically confined plasmas, as measured by gas-puff imaging or Langmuir probes, are modeled as the realization of a stochastic process in which a superposition of pulses with a fixed shape, an exponential distribution of waiting times, and amplitudes represents the radial motion of blob-like structures. With an analytic formulation of the process at hand, we derive expressions for the mean squared error on estimators of sample mean and sample variance as a function of sample length, sampling frequency, and the parameters of the stochastic process. Employing that the probability distribution function of a particularly relevant stochastic process is given by the gamma distribution, we derive estimators for sample skewness and kurtosis and expressions for the mean squared error on these estimators. Numerically, generated synthetic time series are used to verify the proposed estimators, the sample length dependency of their mean squared errors, and their performance. We find that estimators for sample skewness and kurtosis based on the gamma distribution are more precise and more accurate than common estimators based on the method of moments.

  3. THE EARLIEST NEAR-INFRARED TIME-SERIES SPECTROSCOPY OF A TYPE Ia SUPERNOVA

    SciTech Connect (OSTI)

    Hsiao, E. Y.; Phillips, M. M.; Morrell, N.; Contreras, C.; Roth, M.; Marion, G. H.; Kirshner, R. P.; Burns, C. R.; Freedman, W. L.; Persson, S. E.; Winge, C.; Gerardy, C. L.; Hoeflich, P.; Im, M.; Jeon, Y.; Pignata, G.; Stanishev, V.; and others

    2013-04-01

    We present ten medium-resolution, high signal-to-noise ratio near-infrared (NIR) spectra of SN 2011fe from SpeX on the NASA Infrared Telescope Facility (IRTF) and Gemini Near-Infrared Spectrograph (GNIRS) on Gemini North, obtained as part of the Carnegie Supernova Project. This data set constitutes the earliest time-series NIR spectroscopy of a Type Ia supernova (SN Ia), with the first spectrum obtained at 2.58 days past the explosion and covering -14.6 to +17.3 days relative to B-band maximum. C I {lambda}1.0693 {mu}m is detected in SN 2011fe with increasing strength up to maximum light. The delay in the onset of the NIR C I line demonstrates its potential to be an effective tracer of unprocessed material. For the first time in a SN Ia, the early rapid decline of the Mg II {lambda}1.0927 {mu}m velocity was observed, and the subsequent velocity is remarkably constant. The Mg II velocity during this constant phase locates the inner edge of carbon burning and probes the conditions under which the transition from deflagration to detonation occurs. We show that the Mg II velocity does not correlate with the optical light-curve decline rate {Delta}m{sub 15}(B). The prominent break at {approx}1.5 {mu}m is the main source of concern for NIR k-correction calculations. We demonstrate here that the feature has a uniform time evolution among SNe Ia, with the flux ratio across the break strongly correlated with {Delta}m{sub 15}(B). The predictability of the strength and the onset of this feature suggests that the associated k-correction uncertainties can be minimized with improved spectral templates.

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  5. Real-Time Series Resistance Monitoring in PV Systems Without the Need for I-V Curves

    SciTech Connect (OSTI)

    Deceglie, Michael G.; Silverman, Timothy J.; Marion, Bill; Kurtz, Sarah R.

    2015-10-01

    We apply the physical principles of a familiar method, suns-Voc, to a new application: the real-time detection of series resistance changes in modules and systems operating outside. The real-time series resistance (RTSR) method that we describe avoids the need for collecting I-V curves or constructing full series resistance-free I-V curves. RTSR is most readily deployable at the module level on microinverters or module-integrated electronics, but it can also be extended to full strings. We found that automated detection of series resistance increases can provide early warnings of some of the most common reliability issues, which also pose fire risks, including broken ribbons, broken solder bonds, and contact problems in the junction or combiner box. We also describe the method in detail and describe a sample application to data collected from modules operating in the field.

  6. Correcting incompatible DN values and geometric errors in nighttime lights time series images

    SciTech Connect (OSTI)

    Zhao, Naizhuo; Zhou, Yuyu; Samson, Eric

    2015-04-01

    The Defense Meteorological Satellite Programs Operational Linescan System (DMSP-OLS) nighttime lights imagery has proven to be a powerful remote sensing tool to monitor urbanization and assess socioeconomic activities at large scales. However, the existence of incompatible digital number (DN) values and geometric errors severely limit application of nighttime light image data on multi-year quantitative research. In this study we extend and improve previous studies on inter-calibrating nighttime lights image data to obtain more compatible and reliable nighttime lights time series (NLT) image data for China and the United States (US) through four steps: inter-calibration, geometric correction, steady increase adjustment, and population data correction. We then use gross domestic product (GDP) data to test the processed NLT image data indirectly and find that sum light (summed DN value of pixels in a nighttime light image) maintains apparent increase trends with relatively large GDP growth rates but does not increase or decrease with relatively small GDP growth rates. As nighttime light is a sensitive indicator for economic activity, the temporally consistent trends between sum light and GDP growth rate imply that brightness of nighttime lights on the ground is correctly represented by the processed NLT image data. Finally, through analyzing the corrected NLT image data from 1992 to 2008, we find that China experienced apparent nighttime lights development in 1992-1997 and 2001-2008 respectively and the US suffered from nighttime lights decay in large areas after 2001.

  7. A Scientific Data Processing Framework for Time Series NetCDF Data

    SciTech Connect (OSTI)

    Gaustad, Krista L.; Shippert, Timothy R.; Ermold, Brian D.; Beus, Sherman J.; Daily, Jeffrey A.; Borsholm, Atle; Fox, Kevin M.

    2014-10-01

    ARM Data Integrator (ADI) is a framework to streamline the development of scientific algorithms that analyze time-series NetCDF data, and to improve the content and consistency of the output data products produced by these algorithms. ADI achieves these goals by automating the process of retrieving and preparing data for analysis, supporting the definition of output data products through a graphical interface, and providing a modular, flexible software development architecture. The input data, preprocessing, and output data specifications are defined through a graphical interface and stored in a database. ADI also includes a workflow for data integration, a library of software modules to support the workflow, and a source code generator that produces C, IDL and Python templates. Data preparation support includes automated retrieval of data from input files, merging the retrieved data into appropriately sized chunks, and transformation of the data onto a common coordinate system grid. Through the graphical interface, users can view the details of both their data products and those in the ARM catalog. The variable and attribute definitions of the existing data products can be used to build new output data products. In addition, the rules that make up the ARM archives data standards are laid on top of the view of the new data product providing the user with a visual cue indicating where their output violates an archive standard. The necessary configurations are stored in a database that is accessed by the ADI libraries. This paper discusses the ADI framework, its supporting components, and how ADI can significantly decrease the time and cost of implementing scientific algorithms while improving the ability of scientists to disseminate their results.

  8. ARM - Facility News Article

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Fuels and Power in a Mature Market (Technical Report) | SciTech Connect Transportation Energy Futures Series: Projected Biomass Utilization for Fuels and Power in a Mature Market Citation Details In-Document Search Title: Transportation Energy Futures Series: Projected Biomass Utilization for Fuels and Power in a Mature Market The viability of biomass as transportation fuel depends upon the allocation of limited resources for fuel, power, and products. By focusing on mature markets, this

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

    SciTech Connect (OSTI)

    Bora, B.; Bhuyan, H.; Favre, M.; Wyndham, E.; Chuaqui, H.; Kakati, M.

    2011-10-15

    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.

  11. Parametric time series analysis of cold and hot spells in daily temperature: An application in Southern Italy

    SciTech Connect (OSTI)

    Macchiato, M. ); Serio, C. ); Lapenna, V. ); Rotonda, L.La. )

    1993-07-01

    The statistical analysis of cold air temperatures (cold spells) and hot air temperatures (hot spells) is discussed. Air temperature time series observed at 50 stations in southern Italy are investigated. The deterministic and stochastic components of the time series are identified and described by a dynamic-stochastic model that is periodic in the deterministic part (the annual cycle) and Markovian (first-order autoregressive) in the stochastic part. The annual cycle is described by only a few Fourier coefficients. Based on the model fitted to the data, the theoretical probability of cold (hot) spells is computed and compared to that estimated from the observed data. Spatial patterns of identified that make it possible to extrapolate the probability of cold (hot) spells at locations where no direct observations are available. 19 refs., 13 figs., 2 tabs.

  12. Identification of mixing effects in stratified chilled-water storage tanks by analysis of time series temperature data

    SciTech Connect (OSTI)

    Caldwell, J.S.; Bahnfleth, W.P.

    1998-12-31

    Several one-dimensional models of mixing in stratified chilled-water thermal energy storage tanks have been proposed. In the simplest models, mixing is assumed to be uniform throughout the tank. Other models permit spatial variation of mixing intensity. Published models were developed by adjusting model parameters to achieve qualitative agreement with measured profiles. The literature does not describe quantitative criteria for evaluating the performance of mixing models. This paper describes a method that can be used to determine the relative spatial distribution of mixing effects directly from experimental data. It also illustrates a method for quantitative comparison of experimental and modeled temperature profiles. The mixing calculation procedure may be applied to instantaneous spatial temperature data if temperature sensor spacing is sufficiently small. When sensors are widely spaced, time series data taken at individual sensors provide better accuracy. A criterion for maximum sensor spacing is proposed. The application of these procedures to time series charge-cycle operating data from a full-scale chilled-water thermal storage system serving a large medical center is described. Results of this analysis indicate that mixing is localized near the inlet diffuser and that one-dimensional flow with streamwise conduction predominates in most of the tank.

  13. Time series association learning

    DOE Patents [OSTI]

    Papcun, George J.

    1995-01-01

    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.

  14. Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning

    SciTech Connect (OSTI)

    Martin, Luis; Marchante, Ruth; Cony, Marco; Zarzalejo, Luis F.; Polo, Jesus; Navarro, Ana

    2010-10-15

    Due to strong increase of solar power generation, the predictions of incoming solar energy are acquiring more importance. Photovoltaic and solar thermal are the main sources of electricity generation from solar energy. In the case of solar thermal energy plants with storage energy system, its management and operation need reliable predictions of solar irradiance with the same temporal resolution as the temporal capacity of the back-up system. These plants can work like a conventional power plant and compete in the energy stock market avoiding intermittence in electricity production. This work presents a comparisons of statistical models based on time series applied to predict half daily values of global solar irradiance with a temporal horizon of 3 days. Half daily values consist of accumulated hourly global solar irradiance from solar raise to solar noon and from noon until dawn for each day. The dataset of ground solar radiation used belongs to stations of Spanish National Weather Service (AEMet). The models tested are autoregressive, neural networks and fuzzy logic models. Due to the fact that half daily solar irradiance time series is non-stationary, it has been necessary to transform it to two new stationary variables (clearness index and lost component) which are used as input of the predictive models. Improvement in terms of RMSD of the models essayed is compared against the model based on persistence. The validation process shows that all models essayed improve persistence. The best approach to forecast half daily values of solar irradiance is neural network models with lost component as input, except Lerida station where models based on clearness index have less uncertainty because this magnitude has a linear behaviour and it is easier to simulate by models. (author)

  15. A Bayesian method for characterizing distributed micro-releases: II. inference under model uncertainty with short time-series data.

    SciTech Connect (OSTI)

    Marzouk, Youssef; Fast P. (Lawrence Livermore National Laboratory, Livermore, CA); Kraus, M.; Ray, J. P.

    2006-01-01

    Terrorist attacks using an aerosolized pathogen preparation have gained credibility as a national security concern after the anthrax attacks of 2001. The ability to characterize such attacks, i.e., to estimate the number of people infected, the time of infection, and the average dose received, is important when planning a medical response. We address this question of characterization by formulating a Bayesian inverse problem predicated on a short time-series of diagnosed patients exhibiting symptoms. To be of relevance to response planning, we limit ourselves to 3-5 days of data. In tests performed with anthrax as the pathogen, we find that these data are usually sufficient, especially if the model of the outbreak used in the inverse problem is an accurate one. In some cases the scarcity of data may initially support outbreak characterizations at odds with the true one, but with sufficient data the correct inferences are recovered; in other words, the inverse problem posed and its solution methodology are consistent. We also explore the effect of model error-situations for which the model used in the inverse problem is only a partially accurate representation of the outbreak; here, the model predictions and the observations differ by more than a random noise. We find that while there is a consistent discrepancy between the inferred and the true characterizations, they are also close enough to be of relevance when planning a response.

  16. Time-series product and substance flow analyses of end-of-life electrical and electronic equipment in China

    SciTech Connect (OSTI)

    Habuer, Nakatani, Jun; Moriguchi, Yuichi

    2014-02-15

    Highlights: We estimate the possession and obsolescence of household appliances (HAs) in China. Over 4.85.1 billion units of major HAs will be discarded in the next 20 years. We calculate the amounts of substances contained in end-of-life (EoL) TV sets. Less common metals will tend to decrease in content in generation of EoL TV sets. Precious metals will tend to increase in content in EoL TV sets in 20152030. - Abstract: Given the amounts of end-of-life electrical and electronic equipment (EoL-EEE) being generated and their contents of both harmful and valuable materials, the EoL-EEE issue should be regarded not only as an emerging environmental problem but also as a resource management strategy in China. At present, in order to provide the basis for managing EoL-EEE at both product and substance levels in China, it is necessary to carry out a quantitative analysis on EoL-EEE and to determine how much of it will be generated and how much materials and substances it contains. In this study, the possession and obsolescence amounts of five types of household appliance (HA) including television (TV) sets and the amounts of substances contained in EoL TV sets were estimated using time-series product flow analysis (PFA) and substance flow analysis (SFA). The results of PFA indicated that the total possession amounts of those five types of HAs will exceed 3.1 billion units in 2030, which will be two times higher than those in 2010. In addition, it was estimated that cumulatively over 4.85.1 billion units of these five types of EoL HA would be obsoleted between 20102030. The results of SFA on TV sets indicated that the generated amounts of most of the less common metals and a part of common metals such as copper (Cu) would tend to decrease, whereas those of other common metals such as iron (Fe) as well as precious metals would tend to increase in EoL TV sets in 20152030. The results of this study provide a quantitative basis for helping decision makers develop strategic policies for the management of EoL-EEE considering both environmental and resource aspects. Moreover, a calculation scheme of obsolete HAs presented in this study can be applied to estimate other types of EoL durable good. Meanwhile, the frameworks of this study will help not only the policy decision makers in the Chinese government but also those in developing countries that are facing similar problems.

  17. Analysis of High Precision GPS Time Series and Strain Rates for the Geothermal Play Fairway Analysis of Washington State Prospects Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Michael Swyer

    2015-02-22

    Global Positioning System (GPS) time series from the National Science Foundation (NSF) Earthscopes Plate Boundary Observatory (PBO) and Central Washington Universitys Pacific Northwest Geodetic Array (PANGA). GPS station velocities were used to infer strain rates using the splines in tension method. Strain rates were derived separately for subduction zone locking at depth and block rotation near the surface within crustal block boundaries.

  18. Analysis of High Precision GPS Time Series and Strain Rates for the Geothermal Play Fairway Analysis of Washington State Prospects Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Michael Swyer

    2015-02-22

    Global Positioning System (GPS) time series from the National Science Foundation (NSF) Earthscope’s Plate Boundary Observatory (PBO) and Central Washington University’s Pacific Northwest Geodetic Array (PANGA). GPS station velocities were used to infer strain rates using the ‘splines in tension’ method. Strain rates were derived separately for subduction zone locking at depth and block rotation near the surface within crustal block boundaries.

  19. A combined method to estimate parameters of the thalamocortical model from a heavily noise-corrupted time series of action potential

    SciTech Connect (OSTI)

    Wang, Ruofan; Wang, Jiang; Deng, Bin Liu, Chen; Wei, Xile; Tsang, K. M.; Chan, W. L.

    2014-03-15

    A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.

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

    SciTech Connect (OSTI)

    Mitchell, Christopher J; Ahrens, James P; Wang, Jun

    2010-10-15

    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.

  1. Seminar Series

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Seminar Series Seminar Series The IS&T seminars on various information science and technology topics are held every Wednesday from 3-4 PM at the CNLS Conference Room unless otherwise noted. Contact Institute Director Stephan Eidenbenz (505) 667-3742 Email Professional Staff Assistant Nickole Aguilar Garcia (505) 665-3048 Email To schedule a speaker please contact the Nickole Garcia. To subscribe to the IS&T seminar announcements please use the Program Announcement tool什(Use win domain

  2. TIME-SERIES PHOTOMETRY OF GLOBULAR CLUSTERS: M62 (NGC 6266), THE MOST RR LYRAE-RICH GLOBULAR CLUSTER IN THE GALAXY?

    SciTech Connect (OSTI)

    Contreras, R.; Catelan, M.; Smith, H. A.; Kuehn, C. A.; Pritzl, B. J.; Borissova, J.

    2010-12-15

    We present new time-series CCD photometry, in the B and V bands, for the moderately metal-rich ([Fe/H] {approx_equal} -1.3) Galactic globular cluster M62 (NGC 6266). The present data set is the largest obtained so far for this cluster and consists of 168 images per filter, obtained with the Warsaw 1.3 m telescope at the Las Campanas Observatory and the 1.3 m telescope of the Cerro Tololo Inter-American Observatory, in two separate runs over the time span of 3 months. The procedure adopted to detect the variable stars was the optimal image subtraction method (ISIS v2.2), as implemented by Alard. The photometry was performed using both ISIS and Stetson's DAOPHOT/ALLFRAME package. We have identified 245 variable stars in the cluster fields that have been analyzed so far, of which 179 are new discoveries. Of these variables, 133 are fundamental mode RR Lyrae stars (RRab), 76 are first overtone (RRc) pulsators, 4 are type II Cepheids, 25 are long-period variables (LPVs), 1 is an eclipsing binary, and 6 are not yet well classified. Such a large number of RR Lyrae stars places M62 among the top two most RR Lyrae-rich (in the sense of total number of RR Lyrae stars present) globular clusters known in the Galaxy, second only to M3 (NGC 5272) with a total of 230 known RR Lyrae stars. Since this study covers most but not all of the cluster area, it is not unlikely that M62 is in fact the most RR Lyrae-rich globular cluster in the Galaxy. In like vein, thanks to the time coverage of our data sets, we were also able to detect the largest sample of LPVs known so far in a Galactic globular cluster. We analyze a variety of Oosterhoff type indicators for the cluster, including mean periods, period distribution, Bailey diagrams, and Fourier decomposition parameters (as well as the physical parameters derived therefrom). All of these indicators clearly show that M62 is an Oosterhoff type I system. This is in good agreement with the moderately high metallicity of the cluster, in spite of its predominantly blue horizontal branch morphology-which is more typical of Oosterhoff type II systems. We thus conclude that metallicity plays a key role in defining Oosterhoff type. Finally, based on an application of the 'A-method', we conclude that the cluster RR Lyrae stars have a similar He abundance as M3, although more work on the temperatures of the M62 RR Lyrae is needed before this result can be conclusively established.

  3. Seminar Series | Event Types | MIT-Harvard Center for Excitonics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Seminar Series Browse by Year 2016-2017 Seminar Series 2015-2016 Seminar Series 2014-2015 Seminar Series 2013-2014 Seminar Series 2012-2013 Seminar Series 2011-2012 Seminar Series 2010-2011 Seminar Series 2009-2010 Seminar Series 2008-2009 Seminar Series 2016-2017 Seminar Series DATE SPEAKER TITLE TIME/LOCATION September 21, 2016 2016-2017 Seminar Series 2015-2016 Seminar Series DATE SPEAKER TITLE TIME/LOCATION April 19, 2016 Sean Roberts Department of Chemistry, The University of Texas at

  4. Time

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 4 5 6 7 8 9 10 Time with respect to the BNB Trigger Time [µs] 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 Fractional Flash Count per 0.15 µs with respect to Cosmic Background Measured Cosmic Rate (Beam-Off) BNB Trigger Data (Beam-On) [4.51E18 POT]

  5. Time

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    10 15 20 Time with respect to the NuMI Trigger Time [µs] 0.9 1.0 1.1 1.2 1.3 1.4 1.5 Fractional Flash Count per 0.5 µs with respect to Cosmic Background Measured Cosmic Rate (Beam-Off) NuMI Trigger Data (Beam-On) [4.83E18 POT]

  6. ARM - Datastreams - ncepgfsnausfc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements...

  7. ARM - Datastreams - ncepgfssfc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements...

  8. ARM - Datastreams - ncepgfsmansfc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements...

  9. ARM - Datastreams - ncepgfsatksfc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements...

  10. ARM - Datastreams - ncepgfsbrwsfc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements...

  11. ARM - Datastreams - noaaaos

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ) Backscattered radiation Aerosol backwards-hemispheric light scattering coefficient, Ref. Humidograph nephelometer blue channel, 1 um particle diameter 1Mm...

  12. ARM - Datastreams - precnet

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Measurement Variable Precipitation precipamt Locations Southern Great Plains SGP A1 Browse Data Whitewater, KS (ABLE) retired retired Originating instrument has been...

  13. ARM - Datastreams - pars2

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atlantic ENA C1 Browse Data Graciosa Island, Azores, Portugal ARM Mobile Facility ACX S1 Browse Data ACX Supplemental Facility 1 MAG S1 Browse Data MAG Supplemental Facility 1...

  14. ARM - Datastreams - ecmwfflx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and others) retired PGH X1 Browse Data External Data (satellites and others) retired PVC X1 Browse Data External Data (satellites and others) retired PYE X1 Browse Data...

  15. ARM - Datastreams - ecmwfvar

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and others) retired PGH X1 Browse Data External Data (satellites and others) retired PVC X1 Browse Data External Data (satellites and others) retired PYE X1 Browse Data...

  16. ARM - Datastreams - allmaps60

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1994.07.07 Measurement Categories Atmospheric State Originating Instrument Mesoscale Analysis and Prediction System (MAPS) Measurements The measurements below provided by this...

  17. ARM - Datastreams - maps60

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1994.10.15 Measurement Categories Atmospheric State Originating Instrument Mesoscale Analysis and Prediction System (MAPS) Measurements The measurements below provided by this...

  18. ARM XDC Datastreams

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Water Profiles from GOES Satellite Data NWSUPA: National Weather Service Upper Air Measurements ... Shouxian, Anhui, China; Mobile Facility SONDE: Balloon-Borne Sounding System ...

  19. ARM - Datastreams - met

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... field: PWS instantaneous present weather code unitless qcpwspwcodeinst ... Data Browse Plots Shouxian, Anhui, China retired MAO M1 Browse Data Browse Plots Manacapuru, Amazonas, ...

  20. ARM - Datastreams - 1290rwpwindspec

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rwpwindspec Documentation Data Quality Plots Citation DOI: 10.54391024897 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  1. ARM - Datastreams - aerich2

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Datastreamsaerich2 Documentation Data Quality Plots Citation DOI: 10.54391025144 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  2. ARM - Datastreams - csphotpfn1

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  3. ARM - Datastreams - aosnox

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  14. ARM - Datastreams - saszevis

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  15. ARM - Datastreams - sashenirlowsun

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  16. ARM - Datastreams - noaaaosavg

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  17. ARM - Datastreams - ngm250

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  18. ARM - Datastreams - swats

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  19. ARM - Datastreams - swatspcp

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    retired SGP E9 Browse Data Ashton, KS (Extended) SGP E12 Browse Data Pawhuska, OK (Extended) SGP E13 Browse Data Lamont, OK (Extended) SGP E15 Browse Data Ringwood, OK...