Seminar on Recent developments in the use of satellite observations in Numerical Weather Prediction, 3 - 7 September 2007
General overview |
John Eyre (Met Office)
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Progress achieved on assimilation of satellite data in NWP over the last 30 years
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Sakari Uppala (ECMWF)
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Use of satellite data in reanalysis applications
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John Derber (NCEP)
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The contribution of ATOVS data to operational NWP
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Mary Forsythe (Met Office)
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Atmospheric motion vectors
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Stephen Briggs (ESA)
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The Earth Explorer and GMES sentinel programmes
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Assimilation of advanced IR sounders
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Mitch Goldberg (NESDIS)
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What have we learnt from the AIRS experience, and prospects from NPOESS/CrIS
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Paolo Antonelli (CIMSS)
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Application of PCA to hyperspectral data for noise characterization, noise filtering and instrument monitoring
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Andrew Collard (ECMWF)
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Assimilation of AIRS/IASI at ECMWF
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Assimilation of clouds and precipitation |
Stephen English (Met Office)
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General issues and prospects from future sensors |
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Peter Bauer (ECMWF)
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The assimilation of cloud/rain at ECMWF
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Treatment of the boundaries
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Fatima Karbou (Meteo-France) |
Treatment of surface emissivity in satellite data assimilation
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Matthias Drusch (ECMWF) |
Use of satellite data for land surface assimilation
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Peter Janssen (ECMWF) |
Sea state data assimilation
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Keith Haines (ESSC) |
Ocean data assimilation
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Dick Dee (ECMWF) |
Importance of satellites for stratospheric data assimilation
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Current and future programs
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Peter Schluessel (EUMETSAT) |
First lessons learnt from METOP
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Johannes Schmetz (EUMETSAT) |
Future opportunities from MTG and POST-EPS
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Satellite data impact studies and diagnostics |
John Le Marshall (BoM) |
Impact of satellite data at JCSDA
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Nancy Baker (NRL) |
Diagnostics for evaluating the impact of satellite observations
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Graeme Kelly (ECMWF) |
Satellite data impact studies at ECMWF
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Further prospects and issues for NWP
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David Tan (ECMWF) |
Expectations from ADM-AEOLUS
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Frédéric Chevallier (LSCE) |
Assimilation of satellite data for the environment
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Reinhold Hess (DWD) |
Specific issues related to the use of satellite data in limited area models |
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