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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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weer (g)een Elfstedentocht
De recente koudegolf heeft ons niet koud gelaten. Tot teleurstelling van velen zat een 16e Elfste...
H de Vries, R van Westrhenen | Journal: Meteorologica | Volume: 21 | Year: 2012 | First page: 4 | Last page: 7
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Calculating Lagrangian trajectories using time-dependent velocity fields
We report on the development of an efficient and accurate tool for computing Lagrangian trajecto...
P de Vries, K Döös | Status: published | Journal: J. Atm. Ocean. Tech. | Volume: 18 | Year: 2001 | First page: 1092 | Last page: 1101
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Development of a SeaWinds wind product for weather forecasting
SeaWinds data are provided by the Jet Propulsion Laboratory (JPL) at 25-km resolution, whereas mo...
M Portabella, A Stoffelen, J de Vries | Conference: International Geoscience and Remote Sensing Symposium (IGARSS) | Organisation: IEEE | Place: Sydney, Australia | Year: 2001 | First page: 1076 | Last page: 1078
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Towards the Real-time use of QuikSCAT Winds
We describe our work on QuikSCAT product validation and inversion of the backscatter data to wind...
A Stoffelen, J de Vries, A Voorrips | Year: 2001
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