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Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS winds during MOWSAP

Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS winds during MOWSAP. Lars Peter Riishojgaard and Yanqiu Zhu Global Modeling and Assimilation Office, NASA/GSFC, Greenbelt, Maryland. Outline. Overview of MODIS winds MOWSAP: MODIS winds Special Acquisition Period

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Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS winds during MOWSAP

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  1. Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS winds during MOWSAP Lars Peter Riishojgaard and Yanqiu Zhu Global Modeling and Assimilation Office, NASA/GSFC, Greenbelt, Maryland

  2. Outline • Overview of MODIS winds • MOWSAP: MODIS winds Special Acquisition Period • GMAO experiment results • Timeliness of MODIS winds

  3. Overview of MODIS winds • MODIS winds coverage and their potential impact • Winds from Terra now used operationally by GMAO, ECMWF and others • Routine production of winds from MODIS started at NESDIS on Nov. 8, 2003, using EMC analysis for background • Initial tests with winds from Aqua gave decreased or even reversed impact in ECMWF and UKMO systems

  4. MODIS winds data vs. other satellite and conventional winds data coverage

  5. MOWSAP: MODIS winds Special Acquisition Period • November 8, 2003-January 31 2004 • Winds generated by CIMSS (Navy background) and NESDIS (EMC background) from both Terra and Aqua • Assimilation experiments done by GMAO, ECMWF, UKMO, CMC, using common diagnostics and measures of skill

  6. Assessment of MODIS winds against GMAO model forecast (OmF) • Thestatistics of Terra MODIS winds are similar to that of their corresponding Aqua MODIS winds • NESDIS MODIS winds generally have larger average wind speeds than their corresponding CIMSS MODIS winds • In the northern hemisphere, NESDIS MODIS winds tend to have smaller NRMSVD than their corresponding CIMSS MODIS winds

  7. Forecast skills verified against their own analyses – CIMSS MODIS winds

  8. Forecast skills verified against their own analyses – CIMSS/NESDIS MODIS winds

  9. Forecast skills verified against NCEP analysis – CIMSS MODIS winds

  10. Forecast skills verified against NCEP analysis – CIMSS/NESDIS MODIS winds

  11. Forecast skills verified against NCEP analysis – CIMSS/NESDIS MODIS winds

  12. Time series of H500 anomaly correlations

  13. Time series of H500 anomaly correlations

  14. Timeliness of MODIS winds • MODIS radiances currently acquired via the same path as AIRS radiances: on-board storage and low-latitude downlinks • Winds algorithm based on image triplets; this introduces a delay of one full orbital period in addition to the downlink delay • MODIS winds do not meet cut-off of EMC and most regional/limited area data assimilation systems • Possible solution: Direct broadcast to high-latitude X-band station(s); this eliminates the downlink delay • Northern Hemisphere: Fairbanks (NOAA), Kiruna (ESA); Svalbard (EUMETSAT) • Southern Hemisphere: McMurdo; workshop at Ohio State in March 2004 (http://amrc.ssec.wisc.edu/MGS/ )

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