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A Precipitation Validation System

A Precipitation Validation System. Wenze Yang 1 , Ralph Ferraro 2 1 NOAA Corporate Institute for Climate and Satellites 2 NOAA/NESDIS/STAR/CoRP/Satellite Climate Studies Branch ywze98@umd.edu. Outline. 1. Website: cics.umd.edu/~johnj/STAR/html/MAIN_page.html

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A Precipitation Validation System

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  1. A Precipitation Validation System Wenze Yang1, Ralph Ferraro2 1NOAA Corporate Institute for Climate and Satellites 2NOAA/NESDIS/STAR/CoRP/Satellite Climate Studies Branch ywze98@umd.edu

  2. Outline 1. Website: cics.umd.edu/~johnj/STAR/html/MAIN_page.html Dealing with U.S and South America Credit to John Janowiak and Jian-Jian Wang 2. Data sets Ground truth Rain gauge Ground Radar Validating data TRMM 3B42, CMORPH, MSPPS, MIRS, etc 3. Methods Temporal and spatial statistics Correlation, bias, POD, FAR, etc 2 1. Website: Data sets Rain gauge Ground Rada AVN from NCEP: Wind, Ts2m, TPW 2. Algorithm Based upon MSPPS “legacy” algorithm for AMSU-A/B Related channels: 23.8, 31.4, 50.3, 88.2, 165.5, 183.31±1, 3, 7 GHz Frequency adjusted on 50.3 and 165.5 GHz Related intermediate products: CLW, IWP, DE (Effective particle size) and ice particle type Snow, sea ice 1. Input L1 (ATMS_V5): Brightness Temperature, Lat, Lon, View Angle, Surface Type AVN from NCEP: Wind, Ts2m, TPW ECM_ANT_CrIS_MATH data is not used as necessary fields are not provided 2. Algorithm Inherited from MSPPS for AMSU-A/B Related channels: 88.2 GHz, 165.5 GHz and 183.31±7 GHz 23.8 GHz, 31.4 GHz, 183.31±7 GHz Related intermediate products: CLW, IWP, DE (Effective particle size) and ice particle type 1. Input L1 (ATMS_V5): Brightness Temperature, Lat, Lon, View Angle, Surface Type AVN from NCEP: Wind, Ts2m, TPW ECM_ANT_CrIS_MATH data is not used as necessary fields are not provided 2. Algorithm Inherited from MSPPS for AMSU-A/B Related channels: 88.2 GHz, 165.5 GHz and 183.31±7 GHz 23.8 GHz, 31.4 GHz, 183.31±7 GHz Related intermediate products: CLW, IWP, DE (Effective particle size) and ice particle type

  3. Ground Truth 1. Rain Gauge Daily accumulations, over the U.S. 2. Ground Radar Next Generation Radar (NEXRAD) Stage IV Mainly in U.S. 0.04 degree Hourly www.ncdc.noaa.gov 3 1. Input L1 (ATMS_V5): Brightness Temperature, Lat, Lon, View Angle, Surface Type AVN from NCEP: Wind, Ts2m, TPW ECM_ANT_CrIS_MATH data is not used as necessary fields are not provided 2. Algorithm Inherited from MSPPS for AMSU-A/B Related channels: 88.2 GHz, 165.5 GHz and 183.31±7 GHz 23.8 GHz, 31.4 GHz, 183.31±1 GHz and 183.31±3 GHz Related intermediate products: CLW, IWP, DE (Effective particle size) and ice particle type Snow, sea ice

  4. US Page 4

  5. Maps of Various Statistics 5

  6. Correlation Map of MAM, 2012 6

  7. Bias of MAM, 2012 7

  8. PDF of MAM, 2012 8

  9. Correlation Time Series of MAM, 2012 9

  10. Bias Time Series of MAM, 2012 10

  11. Statistic Comparison, Sep 20, 2012 11

  12. On-going Work • Currently, we are validating ATMS MSPPS rain product • Against NEXRAD data • Comparing with NOAA 19 products (due to close orbit) • Over U.S. • June to November, 2012 12 1. Input L1 (ATMS_V5): Brightness Temperature, Lat, Lon, View Angle, Surface Type AVN from NCEP: Wind, Ts2m, TPW ECM_ANT_CrIS_MATH data is not used as necessary fields are not provided 2. Algorithm Inherited from MSPPS for AMSU-A/B Related channels: 88.2 GHz, 165.5 GHz and 183.31±7 GHz 23.8 GHz, 31.4 GHz, 183.31±1 GHz and 183.31±3 GHz Related intermediate products: CLW, IWP, DE (Effective particle size) and ice particle type Snow, sea ice

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