Analysis of multiple precipitation Analysis of multiple precipitation products as part of the Global Land products as part of the Global Land Data Assimilation System (GLDAS) Data Assimilation System (GLDAS) project project Jon Gottschalck Jon Gottschalck University of Maryland, Baltimore County (UMBC) University of Maryland, Baltimore County (UMBC) Goddard Earth Science and Technology Center (GEST) Goddard Earth Science and Technology Center (GEST) Hydrological Sciences Branch Hydrological Sciences Branch NASA / Goddard Space Flight Center NASA / Goddard Space Flight Center July 13, 2004 July 13, 2004
Analysis of multiple precipitation products as part of the Global Land Data Assimilation System (GLDAS) project Jon Gottschalck University of Maryland, Baltimore County (UMBC) Goddard Earth Science and Technology Center (GEST) Hydrological Sciences Branch NASA / Goddard Space Flight Center - PowerPoint PPT Presentation
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Analysis of multiple precipitation Analysis of multiple precipitation products as part of the Global Land products as part of the Global Land Data Assimilation System (GLDAS) Data Assimilation System (GLDAS)
projectproject
Jon GottschalckJon Gottschalck
University of Maryland, Baltimore County (UMBC)University of Maryland, Baltimore County (UMBC)Goddard Earth Science and Technology Center Goddard Earth Science and Technology Center
(GEST) Hydrological Sciences Branch(GEST) Hydrological Sciences BranchNASA / Goddard Space Flight CenterNASA / Goddard Space Flight Center
July 13, 2004July 13, 2004
Background – GLDAS Background – GLDAS Land Information Land Information System (LIS)System (LIS)
Merging of GSFC NLDAS and GLDAS codes
Offline global high resolution terrestrial modeling system
Multiple resolutions (2.0° x 2.5°, 1.0°, 1/2°, 1/4°, 1/8°, 5 km, 1 km)
Capability of running over regional domains (e.g., CONUS)
Runs 4 LSMs: Mosaic, Noah, CLM2, and VIC
Baseline atmospheric forcing from GDAS, GEOS, ECMWF
Background – Land Information System Background – Land Information System (LIS) – cont.(LIS) – cont.
CMAP has lowest error in spring, summer, and fall ECMWF performs the best of the model estimates
Correlation of daily precipitation:
CMAP and AGRMET show the greatest correlation overall GDAS and ECMWF perform the best of the model products Persiann and Huffman show good correlation during summer especially over the central US
Evaluation of diurnal cycle:
Currently, inconclusive results for accumulation• Persiann performs well in Miami, FL• CMAP / AGRMET perform well in Minneapolis, MN• Satellite products overestimate in Phoenix, AZ
Persiann, Huffman, and AGRMET are best for frequency