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The Joint Center for Satellite Data Assimilation: Science Workshop 2006

The Joint Center for Satellite Data Assimilation: Science Workshop 2006. John Le Marshall Director, JCSDA. Overview. Welcome The Challenge Progress, Major Accomplishments Plans/Future Prospects Summary. The Challenge

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The Joint Center for Satellite Data Assimilation: Science Workshop 2006

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  1. The Joint Center for Satellite Data Assimilation: Science Workshop 2006 John Le Marshall Director, JCSDA

  2. Overview • Welcome • The Challenge • Progress, Major Accomplishments • Plans/Future Prospects • Summary

  3. The Challenge Satellite Systems/Global Measurements GRACE Aqua Cloudsat CALIPSO GIFTS TRMM SSMIS TOPEX NPP Landsat Meteor/ SAGE GOES-R COSMIC/GPS NOAA/POES NPOESS SeaWiFS Jason Aura Terra SORCE ICESat WindSAT

  4. HIRS sounder radiances AMSU-A sounder radiances AMSU-B sounder radiances GOES sounder radiances GOES, Meteosat, GMS winds GOES precipitation rate SSM/I precipitation rates TRMM precipitation rates SSM/I ocean surface wind speeds ERS-2 ocean surface wind vectors Quikscat ocean surface wind vectors AVHRR SST AVHRR vegetation fraction AVHRR surface type Multi-satellite snow cover Multi-satellite sea ice SBUV/2 ozone profile and total ozone Altimeter sea level observations (ocean data assimilation) AIRS MODIS Winds … Satellite Data used in NWP ~35 instruments

  5. Sounding data used operationally within the GMAO/NCEP Global Forecast System

  6. CURRENT SATELLITE DATA – STATUSACTIVITIES INCLUDE ~ 9 new instruments

  7. AIRS – v1, v2, …

  8. MODIS v1, v2, …

  9. Windsat – Impact on operations

  10. Impact Study of AMSR-E radiance data in GSI Anomaly Correlation • Assimilation experiments • Period • 2-week cycling (Dec. 06, 2005 - Dec. 19, 2005) • System • Analysis: GSI ( Mar. 2006 release version) • + New MW Ocean emissivity model • Forecast: operational forecast model • Resolution: T382L64 • Data set • Cntl: same as operational • Test: Cntl + AMSR-E radiance data • Positive impacts were found in the forecast.

  11. Aura/OMI Total Ozone • Aura satellite launched in July 2004. • NASA began providing OMI Total Ozone data to NOAA in NRT February 2006 • OMI provides 1000x more obs than operationally assimilated SBUV/2. • ~90,000 OMI obs/orbit vs. ~90 SBUV/2 obs/orbit • OMI profile to become available soon. • same quality and vertical resolution as SBUV/2 but 1000x the number of profiles • JCSDA is assimilating Aura/OMI total ozone into the NCEP GFS in test mode . • Aura/HIRDLS profiles will be available for assimilation tests soon. • Profile is higher quality and higher resolution than SBUV/2

  12. “COSMIC” Preliminary ResultsLydia Cucurull (UCAR), John Derber,Russ Treadon….. • Research CHAMP observations • Delivered daily (time delayed) • Formatted to look like COSMIC obs • Processed as part of NCEP operations • Preliminary impact study • 2 months • Low resolution (T62, 200 km) system • Two assimilation methods • Bending angle • Refractivity • Encouraging results • Improved 200 hPa Temperature • Other verifications mixed • Requires further, ongoing investigation 200 hPa Temperature Refr. AC Bnd Ang. Waves 1-3 Waves 4-9 Bias RMS error

  13. GOES – R OSSE Test of channel frequency selection for HES Using AIRS hyperspectral radiances

  14. JCSDA Road Map (2002 - 2010) 3D VAR -----------------------------------------------------4D VAR By 2010, a numerical weather prediction community will be empowered to effectively assimilate increasing amounts of advanced satellite observations The radiances can be assimilated under all conditions with the state-of-the science NWP models Resources: NPOESS sensors ( CMIS, ATMS…) GIFTS, GOES-R OK Required Advanced JCSDA community-based radiative transfer model, Advanced data thinning techniques The CRTM include cloud, precipitation, scattering AIRS,MODIS,ATMS, CrIS, VIIRS, IASI, SSM/IS, AMSR, WINDSAT, GPS ,more products assimilated The radiances from advanced sounders will be used. Cloudy radiances will be tested under rain-free atmospheres, more products (ozone, wv AMVs) Science Advance A beta version of JCSDA community-based radiative transfer model (CRTM) transfer model will be developed, including non-raining clouds, snow and sea ice surface conditions Improved JCSDA data assimilation science The radiances of satellite sounding channels were assimilated into EMC global model under only clear atmospheric conditions. Some satellite surface products (SST, GVI and snow cover, wind) were used in EMC models AMSU, HIRS, SSM/I, Quikscat, AVHRR, TMI, GOES assimilated Pre-JCSDA data assimilation science Radiative transfer model, OPTRAN, ocean microwave emissivity, microwave land emissivity model, and GFS data assimilation system were developed 2002 2003 2008 2009 2010 2007 2004 2005 2006

  15. JCSDA SCIENCE PRIORITIES • Science Priority I - Improve Radiative Transfer Models - Atmospheric Radiative Transfer Modeling – The Community Radiative Transfer Model (CRTM) - Surface Emissivity Modeling • Science Priority II - Prepare for Advanced Operational Instruments • Science Priority III -Assimilating Observations of Clouds and Precipitation - Assimilation of Precipitation - Direct Assimilation of Radiances in Cloudy and Precipitation Conditions • Science Priority IV - Assimilation of Land Surface Observations from Satellites • Science Priority V - Assimilation of Satellite Oceanic Observations • Science Priority VI – Assimilation for air quality forecasts Strat. Plan/JTOPS

  16. Major Accomplishments • Common assimilation infrastructure at NOAA and NASA • Community radiative transfer model • Common NOAA/NASA land data assimilation system • Interfaces between JCSDA models and external researchers • Snow/sea ice emissivity model – permits 300% increase in sounding data usage over high latitudes – improved polar forecasts • MODIS winds, polar regions, - improved forecasts - Implemented • AIRS radiances assimilated – improved forecasts - Implemented • Improved physically based SST analysis - Implemented • Preparation for advanced satellite data such as METOP (IASI,AMSU,MHS…), COSMIC GPS, NPP (CrIS, ATMS….), NPOESS, GOES-R data underway. • Advanced satellite data systems such as DMSP (SSMIS), CHAMP GPS, Windsat being tested for implementation. • Impact studies of POES AMSU, HIRS, EOS AIRS/MODIS, DMSP SSMIS, Windsat, CHAMP GPS on NWP through EMC parallel experiments active • Data denial experiments completed for major data base components in support of system optimisation • OSSE studies completed • Strategic plans of all Partners include 4D-VAR

  17. Summary: Over the past three years the JCSDA has been developing a balanced program to support operational data assimilation in NASA, NOAA and the DoD. Emphasis on the science priority areas has facilitated this balance. The current and future satellite programs have been examined to develop a strategy to prepare for efficient implementation of satellite data as it becomes available. This has already resulted in considerably improved data usage.

  18. Summary: A most important activity for the Center is planning in relation to the form of the next generation assimilation systems to be used by the partners.. Current strategic planning involves the use of the 4D variational approach.

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