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Advances in Geosciences An open-access journal for refereed proceedings and special publications
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Volume 7
Adv. Geosci., 7, 193-198, 2006
https://doi.org/10.5194/adgeo-7-193-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Adv. Geosci., 7, 193-198, 2006
https://doi.org/10.5194/adgeo-7-193-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  28 Feb 2006

28 Feb 2006

Evaluation of radiative transfer schemes for mesoscale model data assimilation: a case study

A. Memmo1, C Faccani1, R. Ferretti1,2, S. Di Michele3, and F. S. Marzano1,4 A. Memmo et al.
  • 1Centro di Eccellenza CETEMPS, Università dell’Aquila, L’Aquila, Italy
  • 2Dipartimento di Fisica, Università dell’Aquila, L’Aquila, Italy
  • 3Research Department, Satellite Section, European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
  • 4Dipartimento di Ingegneria Elettronica Università di Roma "La Sapienza", Rome, Italy

Abstract. The assimilation of Special Sensor Microwave Imager (SSM/I) data into the Mesoscale Model 5 (MM5) allows for improving the weather forecast. However the results suggested an update the Radiative Transfer Equation (RTE) within the three-dimensional variational (3DVAR) algorithm which is tailored for non rainy conditions only. To this purpose, a new RTE algorithm is tested, in order to account for radiometric response in rainy regions. The new brightness temperatures (TB) are estimated by using hydrometeor profiles from the MM5 mesoscale model, running with two different microphysical parameterizations. The goodness of the results is assessed by comparing the new TB with those of the original RTE algorithm in the 3DVAR code and the SSM/I observed data. The results confirm a better reliability of the new RTE compared to the old one.

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