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D. J. Lea, I. Mirouze, M. J. Martin, R. R. King, A. Hines, D. Walters, and M. Thurlow

the 4DVAR atmosphere assimilation described above. Once a day, a snow analysis is performed using the daily map of Northern Hemisphere snow cover data from the Interactive Multisensor Snow and Ice Mapping System (IMS) from the National Environmental Satellite, Data, and Information Service (NESDIS). The snow cover observations are converted into a fractional cover product on the model grid. An analysis is then produced by combining these data with the snow amount field of the MetUM. The addition

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Mark Buehner, Ron McTaggart-Cowan, Alain Beaulne, Cécilien Charette, Louis Garand, Sylvain Heilliette, Ervig Lapalme, Stéphane Laroche, Stephen R. Macpherson, Josée Morneau, and Ayrton Zadra

two analysis times results in an incomplete spatial sampling of the bias for each sensor since the orbits at 0000 and 1200 UTC generally cover similar areas. Consequently, this change is currently being reevaluated. Table 2. Bias model predictors for satellite radiance observations. e. Additional AIRS/IASI channels assimilated In the existing 4DVar-based system, only 87 Atmospheric Infrared Sounder (AIRS; from Aqua ) and 62 IASI (from MetOp-A ) channels were assimilated. No IASI moisture

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Jean-François Caron, Thomas Milewski, Mark Buehner, Luc Fillion, Mateusz Reszka, Stephen Macpherson, and Judy St-James

cycling strategy in the LAM (see section 2a ) was activated in ENF and in a new 4DVar-based control experiment called 4DF (see again Table 1 ). Finally, as in the GDPS, an error in the formulation of the prognostic equations for the snow canopy density was corrected in the model version used for the LAM and the driving forecasts in ENF, leading to an approximate doubling of the snow density seen by the models. This correction in the model formulation has a significant impact on the near

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Hailing Zhang and Zhaoxia Pu

. In addition, since the first landfall over Florida can always be captured (although with the wrong location and time in some cases), but the second landfall is missed in most cases, we will also examine whether data assimilation can improve prediction such that the second landfall after the storm passed the Gulf of Mexico can be predicted. Therefore, the numerical simulation will be focused on a period between 0000 UTC 25 August and 0000 UTC 30 August 2005 to cover both landfall events. The

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