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Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods
Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...
KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1
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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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PRODUCT USER MANUAL For Wind- Global Ocean L3 Wind WIND_GLO_WIND_L3_NRT_OBSERVATIONS_012_002
This guide describes the data product files from the CMEMS KNMI Production Unit, what data
servic...
T Driesenaar, J de Kloe, A Stoffelen, V Forneris, B Hacket | Year: 2016
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QUALITY INFORMATION DOCUMENT For the Global Ocean Wind Products
This document describes the quality of the global ocean near-real-time daily L3 wind product
(WIN...
T Driesenaar, A Bentamy, J de Kloe, A Stoffelen, B Hackett | Year: 2016
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Identifying the Origin of Anomalous High Tropospheric Ozone in the Ozonesonde Data at Uccle by Comparison with Nearby De Bilt
The ozonesonde stations at Uccle (Belgium) and De Bilt (Netherlands), separated by only 175 km, o...
R van Malderen, H de Backer, A Delcloo, M Allaart | Journal: Atmosphere-Ocean | Volume: 0 | Year: 2014 | First page: 1 | Last page: 15 | doi: 10.1080/07055900.2014.886552
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