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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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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Modeling dependencies between climate extremes is important for climate risk assessment, for inst...
Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4
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Seismisch risico in Noord-Nederland
Dit rapport geeft een schatting van het seismische risico in Noord-Nederland: Groningen, Drenthe ...
Th. De Crook, H.W. Haak en B. Dost | Year: 1998 | Pages: 27
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Towards monitoring the englacial fracture state using virtual-reflector seismology
In seismology, coda wave interferometry (CWI) is an effective tool to monitor time-lapse changes ...
F Lindner, C Weemstra, F Walter, C Hadziioannou | Journal: Geophysical Journal International | Volume: 214 | Year: 2018 | First page: 825 | Last page: 844 | doi: https://doi.org/10.1093/gji/ggy156
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The KNMI Large Ensemble Time Slice (KNMI–LENTIS)
Large-ensemble modelling has become an increasingly popular approach to studying the mean climate...
L Muntjewerf, R Bintanja, T Reerink, K van der Wiel | Journal: Geoscientific Model Development | Volume: 16 | Year: 2023 | First page: 4581 | Last page: 4597 | doi: 10.5194/gmd-16-4581-2023
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