Science documents Apply Refine results Type Files & Media Document Categories Science Climate Meteosat Sentinel Tags MSG Presentation Research Fellows Science Studies Date 2022 Date March SHOW ALL 15 results EUMETSAT CO2M level-2 cloud science support - Final presentation https://www-cdn.eumetsat.int/files/2022-03/CLIM-CM_FinalMeeting.pdf CO2M level-2 cloud science support - Final presentation EUMETSAT 2 GPD4S3 Product Validation Report (PVR) Deliverable D-5 https://www-cdn.eumetsat.int/files/2022-03/GPD4S3%20Product%20Validation%20Report%20%28PVR%29%20Deliverable%20D-5%281%29_0.pdf GPD4S3 Product Validation Report (PVR) Deliverable D-5 EUMETSAT 1 Improving the Use of Atmospheric Motion Vectors in NWP 2022 https://www-cdn.eumetsat.int/files/2022-03/10%20-%20WARRICK%20-%20Improving%20the%20Use%20of%20Atmospheric%20Motion%20Vectors%20in%20NWP.zip Improving the Use of Atmospheric Motion Vectors in NWP 2022 EUMETSAT 1 Maximising the Exploitation of Window Channel Radiance Observations from Geostationary Spacecraft 2022 https://www-cdn.eumetsat.int/files/2022-03/09%20-%20QUESADA-RUIZ%20-%20Maximising%20the%20Exploitation%20of%20Window%20Channel%20Radiance%20Observations%20from%20Geostationary%20Spacecraft.zip Maximising the Exploitation of Window Channel Radiance Observations from Geostationary Spacecraft 2022 EUMETSAT 1 Towards a data-driven nowcasting of severe weather with Meteosat Third Generation 2022 https://www-cdn.eumetsat.int/files/2022-03/07%20-%20KUCUK%20-%20Towards%20a%20data-driven%20nowcasting%20of%20severe%20weather%20with%20Meteosat%20Third%20Generation.pdf Towards a data-driven nowcasting of severe weather with Meteosat Third Generation 2022 EUMETSAT 1 Developments in the all-sky assimilation of microwave imagers at ECMWF 2022 https://www-cdn.eumetsat.int/files/2022-03/11%20-%20SCANLON%20-%20Developments%20in%20the%20all-sky%20assimilation%20of%20microwave%20imagers%20at%20ECMWF.pdf Developments in the all-sky assimilation of microwave imagers at ECMWF 2022 EUMETSAT 1 Multi-source nowcasting of thunderstorm hazards with convolutional-recurrent deep learning network 2022 https://www-cdn.eumetsat.int/files/2022-03/05%20-%20LEINONEN%20-%20Multi-source%20nowcasting%20of%20thunderstorm%20hazards%20with%20convolutional-recurrent%20deep%20learning%20network.zip Multi-source nowcasting of thunderstorm hazards with convolutional-recurrent deep learning network 2022 EUMETSAT 1 Expanding All-sky AMSU-A Assimilation to Its Window Channels 2022 https://www-cdn.eumetsat.int/files/2022-03/08%20-%20DUNCAN%20-%20Expanding%20All-sky%20AMSU-A%20Assimilation%20to%20Its%20Window%20Channels.pdf Expanding All-sky AMSU-A Assimilation to Its Window Channels 2022 EUMETSAT 1 Analyzing automatically detected lightning jumps from optical Geostationary Lightning Mapper (GLM) lightning observations 2022 https://www-cdn.eumetsat.int/files/2022-03/06%20-%20ERDMANN%20-%20Analyzing%20automatically%20detected%20lightning%20jumps%20from%20optical%20Geostationary%20Lightning%20Mapper%20%28GLM%29%20lightning%20observations.pdf Analyzing automatically detected lightning jumps from optical Geostationary Lightning Mapper (GLM) lightning observations 2022 EUMETSAT 1 Preparation for the assimilation of the future IRS sounder in NWP models 2022 https://www-cdn.eumetsat.int/files/2022-03/04%20-%20COOPMAAN%20-%20Preparation%20for%20the%20assimilation%20of%20the%20future%20IRS%20sounder%20in%20NWP%20models_0.zip Preparation for the assimilation of the future IRS sounder in NWP models 2022 EUMETSAT 1 Transformed retrievals at the Met Office - Assimilation results and a strategy for bias correction 2022 https://www-cdn.eumetsat.int/files/2022-03/03%20-%20LEVENS%20-%20Transformed%20retrievals%20at%20the%20Met%20Office%20-%20Assimilation%20results%20and%20a%20strategy%20for%20bias%20correction.zip Transformed retrievals at the Met Office - Assimilation results and a strategy for bias correction 2022 EUMETSAT 1 Towards triple collocation analysis of 4D wind observations 2022 https://www-cdn.eumetsat.int/files/2022-03/02%20-%20COSSU%20-%20Triple%20collocation%20analysis%20of%204D%20wind%20observations%202022.zip Towards triple collocation analysis of 4D wind observations 2022 Load More