SMEX02 CODIAC Soil Climate Analysis Network (SCAN) Data, Iowa

external 
data set Externally Distributed Data Set
NSIDC does not archive this data set. Please contact the investigator or data compiler to acquire these data.

NSIDC DAAC Data Catalog

Data Contributors

  • JACKSON, THOMAS
  • WILLIAMS, STEVEN

Parameters

  • AIR TEMPERATURE
  • HUMIDITY
  • LAND SURFACE TEMPERATURE
  • PRECIPITATION AMOUNT
  • SOIL MOISTURE/WATER CONTENT
  • SOIL TEMPERATURE
  • SOLAR RADIATION
  • SURFACE WINDS

Instruments

  • AERS : ATMOSPHERIC/EMITTED RADIATION SENSOR
  • BAROMETERS
  • HUMIDITY SENSORS
  • PAR SENSORS : PHYTOSYNTHETICALLY ACTIVE RADIATION SENSORS
  • SOIL HEAT PROBE
  • SOIL MOISTURE PROBE
  • SOIL SAMPLER
  • SOIL TEMPERATURE PROBE
  • WET/DRY PRECIPITATION SAMPLERS
  • WIND PROFILERS

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CODIAC is the data management system used by the Joint Office for Science Support (JOSS) of the National Oceanographic and Atmospheric Administration (NOAA). This data set contains hourly surface meteorological and soils data from the United States Department of Agriculture Natural Resources Conservation Service (USDA/NRCS) Soil Climate Analysis Network (SCAN). This data set includes data from the SCAN stations in the Soil Moisture Experiment 2002 (SMEX02) region of Iowa, USA for the period from 1 June to 31 July 2002.

The stations house various sensors, including: global precipitation sensor, thermistor, thin film capacitance-type sensor, anemometer, pyranometer, pressure sensor, and a frequency-shift dielectric measuring device. Units of measurement vary, depending on the type of sensor. The data are in columnar ASCII format and are available via FTP.

The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) is a mission instrument launched aboard NASA's Aqua Satellite on 4 May 2002. AMSR-E validation studies linked to SMEX02 are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include: assessing and refining soil moisture algorithm performance, verifying soil moisture estimation accuracy, investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy, and determining the regions that are useful for AMSR-E soil moisture measurements.

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Data Citation

Jackson,T. and S. Williams. 2004. SMEX02 CODIAC Soil Climate Analysis Network (SCAN) Data, Iowa. Boulder, CO. University Corporation for Atmospheric Research, Joint Office for Science Support (UCAR/JOSS). Digital Media.


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