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Agenda

NOAA’s Microwave Integrated Retrieval System An All-Weather 1DVAR Satellite Data Assimilation & Retrieval System. Kevin Garrett 1 , Christopher Grassotti 1 , Leslie Moy 1 , Flavio Iturbide-Sanchez 1 , Wanchun Chen 2 , and Sid-Ahmed Boukabara 3 CPTEC/INPE 24 March, 2011

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Agenda

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  1. NOAA’s Microwave Integrated Retrieval SystemAn All-Weather 1DVAR Satellite Data Assimilation & Retrieval System Kevin Garrett1, Christopher Grassotti1, Leslie Moy1, Flavio Iturbide-Sanchez1, Wanchun Chen2, and Sid-Ahmed Boukabara3 CPTEC/INPE 24 March, 2011 1. I. M. Systems Group 2. Dell, Inc. 3. NOAA/NESDIS/STAR, JCSDA

  2. Agenda • Overview of the Microwave Integrated Retrieval System (MiRS) • The MiRS Validation and Testbed • Ongoing Efforts • MiRS Future Sensors • Summary

  3. Overview • NOAA/NESDIS/STAR has developed a flexible physical algorithm: the Microwave Integrated Retrieval System (MiRS) • Can be applied to any microwave sounder/imager • 1DVAR approach using CRTM as forward and jacobian operators • Retrieves sounding and surface parameters simultaneously, including hydrometeor profiles and surface emissivity • Applicable over all surfaces and in all-weather conditions • Run operationally at NOAA OSDPD (and integrated at NDE for NPP/JPSS future processing) • MiRS is currently being extended to support GPM

  4. MiRS in Context  DMSP SSMIS F16/F18 AQUA AMSR-E   TRMM/GPM/ M-T TMI, GMI proxy, SAPHIR/MADRAS NPP/NPOESS ATMS  • MiRS is applied to a number of microwave sensors, • each time gaining robustness and improving validation • for Future New Sensors • The exact same executable, forward operator, • covariance matrix used for all sensors • Modular design • Cumulative validation and consolidation of MiRS  POESN18/N19 Metop-A  : Applied Operationally : Applied occasionally : Tested in Simulation

  5. Algorithm Description VIPP Satellite Tbs Calibration NEDT Resolution Bias Correction Preclassifier Temp. Profile Preprocessing Humidity Profile TPW Liq. Amount Prof CLW 1DVAR Ice Amount Prof IWP Corrected TbsYm Solution Rain Amount Prof RWP YES Ym-Y fit within NEDT? Emissivity Spectrum SIC/SWE Skin Temperature NO Rainfall Rate Simulated TbsY Update X RR = c0 + c1RWP+c2IWP+c3CLW CRTM State Vector X MiRS Retrieval Attempts 1st Attempt: Non-precipitating, emission dominant 2nd Attempt: Precipitating, scattering signal due to rain/ice First Guess /Background

  6. Validation Efforts Internal Comparisons of MiRS to RAOB and other Sounding Datasets for Temperature (top) and WV (bottom) over Ocean. Independent Assessment from the NOAA Products and Validation System NPROVS images courtesy of Tony Reale www.star.nesdis.noaa.gov/smcd/opdb/poes/NPROVS.php

  7. MiRSTestbed ECMWF MIRS vs ECMWF MIRS MIRS GDAS MIRS vs GDAS MiRS TPW Comparisons to Collocated ECMWF Analysis (top) and GDAS (bottom) for October 31, 2010.

  8. MiRSTestbed Statistical Trends Climatologies Time series of Temperature mean bias and standard deviation (top) and Water Vapor bias and standard deviation (bottom) vs ECMWF analysis

  9. Ongoing Work • Improvement to soundings in precipitating conditions, especially extreme events • Includes not only T, Q, but also hydrometeor profile retrievals • Approach: • Stratify constraints by season/latitude (background and covariances) MiRS retrieved Rainfall Rate (top) and 500mb Water Vapor over Hurricane Earl

  10. Ongoing Work Ice Mid-latitude Profiles Rain Ice Tropical Profiles Rain WRF Model Simulations Temperature, Water Vapor, Rain and Ice Profiles Correlation Matrix

  11. Ongoing Work MiRS Water Vapor Vertical Cross-section along 21° latitude using Global covariances MiRS TPW 2009-10-04 MiRS Water Vapor Vertical Cross-section along 21° latitude using Rainy covariances ECMWF Analysis Water Vapor Vertical Cross-section along 21° latitude MiRS Sounding Performances using Global covariances (blue) and Rainy covariances (red) for Temperature (top) and Water Vapor (bottom)

  12. Future Sensors • MiRS has been extended to NPP ATMS • Processing proxy data daily at STAR • Operational July 2012? • MiRS will be extended to the Global Precipitation Mission Microwave Imager • GMI is similar to TRMM Microwave Imager with additional high frequency channels (166 and 183 GHz) • MiRS has been extended to real TMI and GMI simulated data • MiRS will also be extended to Megha-Tropiques SAPHIR/MADRAS • DMSP F-19, Metop-B….

  13. Summary • MiRS is an operational algorithm at NOAA/NESDIS which provides operations sounding products • Near term improvements to sounding in heavy precipitating conditions • MiRS algorithm being extended to NPP ATMS, TRMM TMI, GPM GMI, M-T in the short term • Website http://mirs.nedsis.noaa.gov

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