edu.ucar.gdex::d315001 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research. download pointOfContact 2024-10-08T19:49:56Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/EVBW-7805 Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS) d315001 2024-08-26 publication Lee, Jared A. author Kim, Ju-Hye author Meech, Scott author Djalalova, Irina V. author Alessandrini, Stefano author Kumar, Rajesh author Wilczak, James M. author NSF National Center for Atmospheric Research publisher In this study, we compare the performance of the analysis time series over the period of August 2020 to December 2021 at EPA AirNow stations for both PM2.5 and O3 from raw Copernicus Atmosphere Monitoring Service (CAMS) reanalyses (CAMS RA Raw), raw CAMS near real-time forecasts (CAMS FC Raw), raw near real-time Community Multi-scale Air Quality (CMAQ) forecasts (CMAQ FC Raw), bias-corrected CAMS forecasts (CAMS FC BC), and bias-corrected CMAQ forecasts (CMAQ FC BC). This 17-month period spans two wildfire seasons, to assess model analysis performance in high-end AQ events. In addition to determining the best-performing gridded product, this process allows us to benchmark the performance of CMAQ forecasts against other global datasets (CAMS reanalysis and forecasts). For both PM2.5 and O3, the bias correction algorithm employed here greatly improved upon the raw model time series, and CMAQ FC BC was the best-performing model analysis time series, having the lowest RMSE, smallest bias error, and largest critical success index at multiple thresholds. completed datahelp@ucar.edu pointOfContact notPlanned dataset HDF5/NetCDF4 dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral AirNow > EPA AirNow Program OPERATIONAL MODELS U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-02-27 revision 23.4 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > PARTICULATE MATTER (PM 2.5) EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > TROPOSPHERIC OZONE U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-02-27 revision 23.4 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere 2020-08 2021-12 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 947.445 https://gdex.ucar.edu/datasets/d315001/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d315001/dataaccess/ https Data Access Related Link download none asNeeded