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  1. 1 de abr. de 2016 · This documentation was developed within the context of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction (NWP SAF), under the Cooperation Agreement dated 29 June 2011, between EUMETSAT and the Met Office, UK, by one or more partners within the NWP SAF. The partners in the NWP SAF are the Met Office, ECMWF, KNMI and Météo France.

  2. October 29, 2014. Summary. •A wide range of observing systems affects wind analyses in the ECMWF system. –The assimilation system combines the different strengths of different observing systems. –Clear impact on wind analyses from sounding radiances, via balance constraints and 4D-Var tracing. –Clear impact from AMVs especially in the ...

  3. This study summarises results from observing system experiments with the ECMWF system, conducted over two seasons covering a total of 8 months. The experiments investigate the forecast impact of withholding selected observations from the assimilation system compared to using the full observing system. The observing systems considered are ...

  4. model RTTOV-10 (Bormann et al. 2011). The statistics are derived over the period 5-25 July 2010 (unless indicated otherwise), with the short-term forecasts originating from a T511 (≈ 40 km), 91 levels setup of the IFS. Different versions of FASTEM will be evaluated using the same short term forecasts,

  5. 689 Evaluation and assimilation of ATMS data in the ECMWF system Niels Bormann, Anne Fouilloux and William Bell Research Department December 2012

  6. Niels Bormann, ECMWF. Atmospheric Motion Vectors (AMVs) provide single-level wind estimates derived by tracking cloud features in image sequences from geostationary and polar orbiting satellites. They are established inputs to global as well as regional Numerical Weather Prediction (NWP) systems. Nevertheless, determining the heights of the ...