All Related Apply Refine results Type Article Set Page Files & Media News Blog Post Features Document Categories Satellites Atmospheric composition Climate Weather Data Science Organisation Meteosat Metop Features - All Tags Research Fellows AMSU ASCAT HIRS Presentation Satellite Applications Facility (SAF) MTG SCA Atmosphere Metop-C NWP Oceans Features Metop-B Features article Date 2023 2022 2021 2020 2019 2018 2017 2014 SHOW ALL 35 results News 17 March 2023 EUMETSAT fellowship calls Second Call for Proposals for one regular EUMETSAT fellowship. Features The wind watchman Bringing data together for better wind observations and weather forecasts. News 23 September 2021 The storm seeker Dr. Felix Erdmann explains how EUMETSAT’s Meteosat Third Generation Lightning Imager will drive advances in weather prediction and lightning science. EUMETSAT 1 Moving AMSU-A to all-sky assimilation at ECMWF https://www-cdn.eumetsat.int/files/2021-03/09%20-%20DUNCAN%20-%20Moving%20AMSU-A%20to%20all-sky%20assimilation%20at%20ECMWF.zip Moving AMSU-A to all-sky assimilation at ECMWF EUMETSAT 1 Towards a fuller exploitation of the SEVIRI window channel in NWP https://www-cdn.eumetsat.int/files/2021-03/08%20-%20QUESADA-RUIZ%20-%20Towards%20a%20fuller%20exploitation%20of%20the%20SEVIRI%20window%20channel%20in%20NWP.zip Towards a fuller exploitation of the SEVIRI window channel in NWP EUMETSAT 1 Improving the Use of Atmospheric Motion Vectors in NWP https://www-cdn.eumetsat.int/files/2021-03/07%20-%20WARRICK%20-%20Improving%20the%20Use%20of%20Atmospheric%20Motion%20Vectors%20in%20NWP.zip Improving the Use of Atmospheric Motion Vectors in NWP EUMETSAT 1 Evaluating MTG benefits in thunderstorm nowcasting based on machine learning https://www-cdn.eumetsat.int/files/2021-03/05%20-%20LEINONEN%20-%20Evaluation%20MTG%20benefits%20in%20thunderstorm%20nowcasting%20based%20on%20machine%20learning.zip Evaluating MTG benefits in thunderstorm nowcasting based on machine learning EUMETSAT 1 Transformed retrievals of IASI observations at the Met Office on using thousands of channels and a strategy for assimilation https://www-cdn.eumetsat.int/files/2021-03/03%20-%20LEVENS%20-%20%20Transformed%20retrievals%20of%20IASI%20observations%20at%20the%20Met%20Office%20on%20using%20thousands%20of%20channels%20and%20a%20strategy%20for%20assimilation.zip Transformed retrievals of IASI observations at the Met Office on using thousands of channels and a strategy for assimilation EUMETSAT 1 Towards triple collocation analysis of 4D wind observations 2021 https://www-cdn.eumetsat.int/files/2021-03/02%20-%20COSSU%20-%20Towards%20triple%20collocation%20analysis%20of%204D%20wind%20observations.zip Towards triple collocation analysis of 4D wind observations 2021 EUMETSAT 1 Progress in the use of Atmospheric Motion Vectors at ECMWF (2020) https://www-cdn.eumetsat.int/files/2020-04/zip_eum_users_science_pres_lean_20.zip Progress in the use of Atmospheric Motion Vectors at ECMWF (2020) EUMETSAT 1 Assimilation of radiance data from geostationary satellites (2020) https://www-cdn.eumetsat.int/files/2020-04/zip_eum_users_science_pres_burrows_20.zip Assimilation of radiance data from geostationary satellites (2020) EUMETSAT 1 On the 4-D consistency of satellite wind products for regional NWP data assimilation (2020) https://www-cdn.eumetsat.int/files/2020-04/zip_eum_users_science_pres_cossu_20.zip On the 4-D consistency of satellite wind products for regional NWP data assimilation (2020) Load More