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Assessments of FY-3A MWTS and MWHS Measurements Using NOAA-18 AMSU-A and MHS

Assessments of FY-3A MWTS and MWHS Measurements Using NOAA-18 AMSU-A and MHS. Xiaolei Zou. Department of Earth, Ocean and Atmospheric Sciences, Florida State University, USA. JCSDA Workshop May 24 , 2011. Chinese Feng-Yun Three (FY-3) Satellites Comparison between MHS and MWHS

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Assessments of FY-3A MWTS and MWHS Measurements Using NOAA-18 AMSU-A and MHS

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  1. Assessments of FY-3A MWTS and MWHS Measurements Using NOAA-18 AMSU-A and MHS Xiaolei Zou • Department of Earth, Ocean and Atmospheric Sciences, • Florida State University, USA JCSDA Workshop May 24, 2011

  2. Chinese Feng-Yun Three (FY-3) Satellites • Comparison between MHS and MWHS • Comparison between AMSU-A and MWTS • Summary and Future Work Outline

  3. FY-3 New Era of Meteorological Satellite in China

  4. Chinese Meteorological Satellites First Generation First Generation FY-2A: 06/10/1997 FY-2B: 06/25/2000 FY-2C: 10/18/2004 FY-2D: 12/08/2006 FY-1A: 09/07/1988 FY-1B: 09/03/1990 FY-1C: 05/10/1999 FY-1D: 05/15/2002 Geostationary Polar-Orbiting Second Generation Second Generation FY-3A: 05/27/2008 FY-3B: 11/05/2010 8 more: 2012-2020 FY-4: 2013-2020 Total 7

  5. 11 Sensors Onboard FY-3 • Visible and InfRared Radiometer (VIRR) • MEdium ReSolution Imager (MERSI) • InfRared Atmospheric Sounder (IRAS) • MicroWave Temperature Sounder (MWTS) • MicroWave Humidity Sounder (MWHS) • MicroWave Radiation Imager (MWRI) • Solar Backscatter Ultraviolet Sounder (SBUS) • Total Ozone Mapping Unit (TOU) • Earth Radiation Measurer (ERM) • Solar Irradiation Monitor (SIM) • Space Environment Monitor (SEM)

  6. 11 Sensors Onboard FY-3 TOU VIRR MWHS ERM MERSI MWRI IRAS SIM MWTS SBUS SEM

  7. Instrument Parameters

  8. 2012FY-3PM1 2013FY-4A (TEST) 2012FY-2G 2011FY-3AM1 2010FY-2F 2013FY-3RM (TEST) 2009FY-3B (TEST) 2014FY-3AM2 2008FY-2E 2015FY-4EAST1 2006FY-2D 2015FY-3PM2 2008FY-3A 2007FY-3A (TEST) 2016FY-4WEST1 2017FY-4MS (TEST) 2020 FY-4MS 2018FY-3PM3 2019FY-3RM2 2016FY-3RM1 2017FY-3AM3 2020 FY-4WEST2 2019 FY-4EAST2 FY-3 Strategic Plan (2006-2020) 2013FY-4A 2012FY-3PM1 2011FY-3AM1 2013FY-3RM 2010FY-3B • Global • All weather • 3 Dimension • Quantitative • Multi-channels 2014FY-3AM2 2015FY-4EAST1 2015FY-3PM2 2008FY-3A 2016FY-4WEST1 2017FY-4MS 2020FY-4MS 2019FY-3RM2 2016FY-3RM1 2017FY-3AM3 2018FY-3PM3 2020FY-4WEST2 2019FY-4EAST2 From Zhang Peng

  9. Part II: Comparison between MHS and MWHS FY-3A MWHS NOAA-18 MHS Guan L., X. Zou, F. Weng and G. Li, 2011: Assessments of FY-3A Microwave Humidity Sounder (MWHS) measurements using NOAA-18 Microwave Humidity Sounder (MHS). J. Geophy. Res., 116, D10106, doi:10.1029/2010JD015412. Part III: Comparison between AMSU-A and MWTS FY-3A MWTS NOAA-18 AMSU-A Zou, X., X. Wang, F. Weng and G. Li, 2011: Assessments of Chinese FengYun Microwave Temperature Sounder (MWTS) measurements for weather and climate applications.J. Ocean Atmos. Tech., (accepted)

  10. Brightness Temperature Simulation • 1) Collocate the GFS data with satellite observations 2) Interpolate GFS temperature profiles to the standard pressure levels consistent with RTM 3) Calculate brightness temperatures at each AMSU-A channels (B) 4) Obtain differences between observed and calculated brightness temperatures (O-B) Statistical characteristics of O-B are compared between NOAA-18 and FY-3A!

  11. Mandatory Input variables Geometry elevation Radiative Transfer Model (RTM) Atmospheric Profile: T, q, p Output Tb, e, τ Surface Parameters Ts, T2m , q2m, ps , u10m, v10m surface type, surface parameters

  12. Physical Basis • Summer low latitudes • Annual midlatitudes • Winter high latitudes AMSU-A MHS Zenith Opacity (dB) A B C (D) Midlatitudes: Dry with ozone (E) Midlatitudes: Nitrogen only (F) Midlatitudes: Oxygen only Frequency (GHz) From Evans (1995)

  13. Physical Basis AMSU-A MHS AMSU-A MWTS Zenith Opacity (dB) Peak WF (hPa) MHS MWHS (D) Midlatitudes: Dry with ozone (E) Midlatitudes: Nitrogen only (F) Midlatitudes: Oxygen only Frequency (GHz) Frequency (GHz)

  14. Comparison of Instrument Parameters between MHS and MWHS

  15. FY-3A NOAA-18 O-B bias (K) Biases & Standard Deviations MWHS Channel MHS Channel O-B std (K) MHS Channel MWHS Channel Before QCAfter QC1After QC1+QC2

  16. FY-3A MWHS Ch3 Positive bias: • Too wet clear stream O-B Values ofOutliers Clouds&Clear Streaks Negative bias FY-3A MERSI • Surface emissivity • Cloud • Terrain

  17. Comparison of Instrument Parameters between AMSU-A and MWTS

  18. Bias FY-3A MWTS NOAA-18 AMSU-A Ch4 Ch3 Ch2 Ch9 Ch7 Ch5 Standard Deviation FY-3A MWTS NOAA-18 AMSU-A Ch4 Ch3 Ch2 Ch9 Ch7 Ch5 18

  19. MWTS Ch4 AMSU-A Ch9 Scene Temperature Dependence of MWTS Global Biases O-B (K) 1-5 Jan. 1-5 Jan. TBmodel (K) TBmodel (K) Latitude

  20. Data bias and outlier characteristics of FY-3A MWHS are very similar to NOAA-18 MHS in terms of magnitude and characteristics Summary and Conclusions • A significant nonlinearity is found for MWTS • channels 3 and 4 global biases but not for • AMSU-A channels 7 and 9

  21. Comparison between CRTM and RTTOV10 • for FY-3 MWHS, MWTS and MWRI Ongoing Work • Linking FY-3 data to NOAA and MetOp for • establishing climate data record (CDR) • Assimilation of FY-3 data in GFS WRF and • Chinese GRAPES data analysis systems

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