edu.ucar.gdex::7a967c0d-adb0-4902-9b0c-b496ab28a974 eng; USA utf8 dataset GDEX Curator UCAR/NCAR - GDEX gdex@ucar.edu pointOfContact 2024-10-08T13:44:10-06:00 ISO 19115 Geographic information - Metadata ISO 19115:2003(E) https://doi.org/10.5065/v94m-y402 https://aeronet.gsfc.nasa.gov/ https browser AERONET https://gml.noaa.gov/aftp/data/radiation/solrad/RadFlux/ https browser SOLRAD https://gml.noaa.gov/aftp/data/radiation/surfrad/RadFlux/ https browser SURFRAD https://ral.ucar.edu/solutions/products/wrf-solar-v2 https browser WRF-Solar WRF-Solar AOD550 & Clear-Sky Irradiance Forecasts & Verifying Observations over CONUS 2022-08-03 publication 2022-08-02 modified https://doi.org/10.5065/v94m-y402 UCAR/NCAR - GDEX gdex@ucar.edu publisher Lee, Jared A. UCAR/NCAR - Research Applications Laboratory jaredlee@ucar.edu author Jiménez, Pedro A. author Dudhia, Jimy author Saint-Drenan, Yves-Marie author This dataset is fully described in and is a companion of Lee et al. (2022): Lee, J. A., P. A. Jiménez, J. Dudhia, and Y.-M. Saint-Drenan, 2023: Impacts of the aerosol representation in WRF-Solar clear-sky irradiance forecasts over CONUS. J. Appl. Meteor. Climatol., 62, 227–250, https://doi.org/10.1175/JAMC-D-22-0059.1. Aerosol optical depth (AOD) is a primary source of solar irradiance forecast error in clear-sky conditions. Improving the accuracy of AOD in NWP models like WRF will thus reduce error in both direct normal irradiance (DNI) and global horizontal irradiance (GHI), which should improve solar power forecast errors, at least in cloud-free conditions. In this study clear-sky GHI and DNI was analyzed from four configurations of the WRF-Solar model with different aerosol representations: 1) The default Tegen climatology; 2) Imposing AOD forecasts from the GEOS-5 model; 3) Imposing AOD forecasts from the Copernicus Atmosphere Monitoring Service (CAMS) model; and 4) The Thompson-Eidhammer aerosol-aware water/ice-friendly aerosol climatology. Over eight months of these 15-min output forecasts are compared against high-quality irradiance observations at NOAA SURFRAD and Solar Radiation (SOLRAD) stations located across CONUS. In general, WRF-Solar with GEOS-5 AOD had the lowest errors in clear-sky DNI, while WRF-Solar with CAMS AOD had the highest errors, higher even than the two aerosol climatologies, which is consistent with validation of the four AOD550 datasets against AERONET stations. For clear-sky GHI, the statistics differed little between the four models, as expected due to the lesser sensitivity of GHI to aerosol loading. Hourly-average clear-sky DNI and GHI was also analyzed, and additionally compared with CAMS model output directly. CAMS irradiance performed competitively with the best WRF-Solar configuration (with GEOS-5 AOD). The markedly different performance of CAMS versus WRF-Solar with CAMS AOD indicates that CAMS is apparently less sensitive to AOD550 than WRF-Solar is. wrf_aeronet_aod550_by_cycle_20191119-20200730.nc: NetCDF, 317 MB WRF-Solar AOD550 spatially interpolated to AERONET stations and AERONET observed AOD550. Organized in arrays sorted by model cycle time (once daily at 09 UTC from 20191119 to 20200730) and model lead time (every 15 min to 45 h). The four WRF-Solar experiments correspond to the four from Lee et al. (2022). wrf_surfrad_solrad_inst_dni_ghi_by_cycle_20191119-20200730.nc: NetCDF, 102 MB WRF-Solar clear-sky DNI and clear-sky GHI interpolated to SURFRAD & SOLRAD stations, and SURFRAD & SOLRAD observed clear-sky DNI and clear-sky GHI. Organized in arrays sorted by model cycle time (once daily at 09 UTC from 20191119 to 20200730) and model lead time (every 15 min to 45 h). The four WRF-Solar experiments correspond to the four from Lee et al. (2022). wrf_surfrad_solrad_hrly_dni_ghi_by_cycle_20191119-20200730.nc: NetCDF, 26 MB WRF-Solar clear-sky DNI and clear-sky GHI interpolated to SURFRAD & SOLRAD stations, and SURFRAD & SOLRAD observed clear-sky DNI and clear-sky GHI. All values are averaged to time-ending 1-hourly averages. Organized in arrays sorted by model cycle time (once daily at 09 UTC from 20191119 to 20200730) and model lead time (every 1 h to 45 h). The four WRF-Solar experiments correspond to the four from Lee et al. (2022). cams_surfrad_solrad_hrly_dni_ghi_by_cycle_20191119-20200730.nc: NetCDF, 26 MB CAMS clear-sky DNI and clear-sky GHI interpolated to SURFRAD & SOLRAD stations, and SURFRAD & SOLRAD observed clear-sky DNI and clear-sky GHI. All values are averaged to time-ending 1-hourly averages. Organized in arrays sorted by model cycle time (once daily at 00 UTC from 20191119 to 20200730) and model lead time (every 1 h to 54 h). The authors gratefully acknowledge direct funding for this work from NASA under Grant No. 80NSSC18K0330. Jared Lee UCAR/NCAR - Research Applications Laboratory jaredlee@ucar.edu pointOfContact Hierarchical Data Format File (application/x-hdf) Dataset DataCite Resource Type 2014-10-16 revision 3.1 DataCite Metadata Working Group originator resourceTypeGeneral EARTH SCIENCE > ATMOSPHERE > AEROSOLS > AEROSOL OPTICAL DEPTH/THICKNESS EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR IRRADIANCE EARTH SCIENCE SERVICES > MODELS > WEATHER RESEARCH/FORECAST MODELS theme NASA/GCMD Earth Science Keywords Science and Services Keywords 2018-03-15 revision 8.6 Global Change Master Directory (GCMD). 2018. GCMD Keywords, Version 8.6. Greenbelt, MD: Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://earthdata.nasa.gov/gcmd-forum OTHER > MODELS > WRF > WEATHER RESEARCH AND FORECASTING (WRF) MODEL theme NASA/GCMD Earth Science Keywords Platforms and Sources Keywords 2018-03-15 revision 8.6 Global Change Master Directory (GCMD). 2018. GCMD Keywords, Version 8.6. Greenbelt, MD: Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://earthdata.nasa.gov/gcmd-forum Creative Commons Attribution 4.0 International License. None eng; USA -123.2 -63.5 25.7 49.7 2019-11-19 2020-07-30 Hierarchical Data Format File (application/x-hdf) UCAR/NCAR - CISL - CDP resourceProvider https://gdex.ucar.edu/dataset/id/7a967c0d-adb0-4902-9b0c-b496ab28a974.html https browser WRF-Solar AOD550 & Clear-Sky Irradiance Forecasts & Verifying Observations over CONUS Metadata Link download