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First 3911 results for ” and Ichiro Yasuda”

1. Development of ADM-Aeolus portable level 2B wind retrieval software

   The development wilb be described of a portable Fortran90 processing software, to be used for Lev...

   J de Kloe, A Stoffelen, K Houchi, GJ Marseille, E Andersson, P Poli, ML Denneulin, A Dabas, D Huber, O Reitebuch, P Flamant, O Le Rille, H Nett | Conference: EUMETSAT Meteorological Satellite Conference | Organisation: EUMETSAT | Place: Amsterdam | Year: 2007 | First page: 0 | Last page: 0

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2. Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models

   Finer grids in global climate models could lead to an improvement in the simulation of precipitat...

   M Bador, J Boe, L Terray, LV Alexander, A Baker, A Bellucci, RJ Haarsma, T Koenigk, MP Moine, K Lohmann, D Putrasahan, C Roberts, M Roberts, E Scoccimarro, R Schiemann | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2019JD032184

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3. Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP
   E Proestakis, V Amiridis, E Marinou, AK Georgoulias, S Solomos, S Kazadzis, J Chimot, H Cge, G Alexandri, I Binietoglou, I Daskalopoulou, G de Leeuw, RJ van der A | Status: published | Journal: Atm. Chem. Phys. | Year: 2018 | First page: 1337 | Last page: 1362 | doi: 10.5194/acp-18-1337-2018

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4. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

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5. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

   Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

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