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SUMMARY:2019 International Workshop on Radiative Transfer Models for Satel
 lite Data Assimilation
DTSTART:20190429T080000Z
DTEND:20190503T160000Z
DTSTAMP:20260610T215900Z
UID:indico-event-133@events.ecmwf.int
DESCRIPTION:\n\nSatellite observations have a major positive impact on the
  accuracy of numerical weather prediction (NWP). They are used in advanced
  data assimilation systems\, including variational\, ensemble and hybrid m
 ethods. In order to assimilate satellite observations directly\, which is 
 proven to be most effective\, a fast and accurate radiative transfer model
  is essential. Many countries have invested in developments of fast radiat
 ive transfer models through their space and NWP programmes. As the capabil
 ity of these models has improved\, the range of satellite data that can be
  successfully assimilated has increased. For example\, the use of observat
 ions in areas of cloud and precipitation\, which were initially excluded f
 rom assimilation\, has become very successful.\n\nIn 2019\, the Chinese Me
 teorological Administration (CMA)\, the European Centre for Medium-Range W
 eather Forecasts (ECMWF) and the Joint Center for Satellite Data Assimila
 tion (JCSDA) jointly held an international workshop in Beijing\, China\, o
 n radiative transfer models in support of satellite data assimilation.\n\n
 Workshop goals\n\nThe specific goals of this workshop:\n\n\n	reviewing the
  current capabilities of fast radiative transfer models\n	understanding ne
 w requirements on radiative transfer models for satellite data assimilatio
 n\n	prioritising new developments of superfast computation in atmospheric 
 and surface radiative transfer processes.\n\n\nNew aspects can in particul
 ar cover developments for observations sensitive not only to the atmospher
 e\, which is often well represented by existing models\, but other Earth s
 ystem components (e.g. ocean\, sea ice\, snow\, land\, atmospheric composi
 tion). It will also address\, where appropriate\, shortcomings in the mode
 ls that fast models are trained on\, such as line-by-line transmittance mo
 dels.  \n\nFurther information and presentations\n\nJCSDA website\n\nhttp
 s://events.ecmwf.int/event/133/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/133/logo-2335271591.png
URL:https://events.ecmwf.int/event/133/
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