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First 1145 results for ” J Schmale”

1. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

   Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

   Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1

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2. Detection of Cb and TCu clouds using MSG-SEVIRI cloud physical properties and weather radar observations

   Deep convective clouds, such as Towering Cumulus (TCu) and Cumulonimbus (Cb) clouds, may pose a s...

   CK Carbajal Henken, MJ Schmeits, ELA Wolters, RA Roebeling | Year: 2009 | Pages: 0

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3. Rainfall generator for the Meuse basin: Description of simulations with and without a memory term and uncertainty analysis

   The rainfall generator has been developed to generate long synthetic sequences of daily precipita...

   Maurice Schmeits, Jules Beersma, Adri Buishand | Year: 2014 | Pages: 21

   Publication

4. Schommelingen van de algemene luchtcirculatie met perioden van meer dan een jaar, hun aard en betekenis voor de weersverwachting op lange termijn
   HP Berlage | Year: 1957

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5. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1)

   This article describes the IFS-AER aerosol module used operationally in the Integrated Forecastin...

   S Remy, Z Kipling, J Flemming, O Boucher, P Nabat, M Michou, A Bozzo, M Ades, V Huijnen, A Benedettti, R Engelen, VH Peuch, JJ Morcrette | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 4627 | Last page: 4659 | doi: https://doi.org/10.5194/gmd-12-4627-2019

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