4.4 Article

Enhancements of Satellite Data Assimilation over Antarctica

Journal

MONTHLY WEATHER REVIEW
Volume 138, Issue 6, Pages 2149-2173

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/2009MWR3071.1

Keywords

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Funding

  1. Meteo-France
  2. CNES
  3. IPEV
  4. PNRA
  5. CNRS/INSU
  6. NSF
  7. UCAR
  8. University of Wyoming
  9. Purdue University
  10. University of Colorado
  11. ECMWF

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The Concordiasi field experiment, which is taking place in Antarctica, involves the launching of radio-soundings and stratospheric balloons. One of the main goals of this campaign is the validation of the Infrared Atmospheric Sounding Interferometer (IASI) radiance assimilation. Prior to the campaign, it was necessary to improve satellite data assimilation at high latitudes. Two types of sensors, microwave and infrared, have been considered to help with this issue. A major problem associated with microwave satellite data is the calculation of the surface emissivity. An innovative approach, based on satellite observations, improves the surface emissivity modeling over land and sea ice within the constraints of the four-dimensional variational data assimilation (4D-VAR) system. With this new calculation of emissivity, it has been possible to include many more microwave observations during the assimilation. In this study, this method has been applied to high latitudes, after sonic adjustments have been made to assimilate additional Advanced Microwave Sounding Unit-A/B (AMSU-A/B) data over sea ice and snow. The use of additional data from IASI and the Atmospheric Infrared Sounder (AIRS) sensors over land and sea ice has also been tested. The use of the microwave and infrared data over this polar area has modified the dynamical and thermodynamical model fields such as the snow precipitation quantity. Additional data have been found to have a positive impact on the skill of a model specially tuned for Antarctica.

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