Evaluating Solar Resource Variability from Satellite and Ground-Based Observations

Mary Anderberg, Dave Renné, Thomas Stoffel, Manajit Sengupta, Richard Perez, Paul Stackhouse

Research output: Contribution to conferencePaperpeer-review

1 Scopus Citations


This paper examines two co-located satellite-derived data sets over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site in central Oklahoma. The data sets, one derived from the National Aeronautics and Space Administration (NASA)/Langley Surface Meteorology and Solar Energy (SSE) Data Base and the other from the State University of New York at Albany (SUNY/Albany) satellite-based model, are compared with each other as well as with a high-quality surface station located at the Central Facility (CF) of the ARM/SGP site. The purpose of the study is two-fold: (1) to benchmark the two satellite-derived data sets with each other and (2) to examine the spatial variability of the higher-resolution SUNY data within the NASA cell that overlays the ground station. The results show variations in seasonal biases between the two satellite-derived data sets and the ground station. In addition, the distribution of high-resolution values within a NASA grid cell varies from month to month possibly due to variations in cloud conditions and surface reflectance characteristics that occur across the seasons.

Original languageAmerican English
Number of pages7
StatePublished - 2010
Event39th ASES National Solar Conference 2010, SOLAR 2010 - Phoenix, AZ, United States
Duration: 17 May 201022 May 2010


Conference39th ASES National Solar Conference 2010, SOLAR 2010
Country/TerritoryUnited States
CityPhoenix, AZ

NREL Publication Number

  • NREL/CP-550-47908


  • solar irradiance
  • solar radiation measurement
  • variability


Dive into the research topics of 'Evaluating Solar Resource Variability from Satellite and Ground-Based Observations'. Together they form a unique fingerprint.

Cite this