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An efficient probabilistic workflow for estimating induced earthquake parameters in 3D heterogeneous media
We present an efficient probabilistic workflow for the estimation of source parameters of induced...
La Ode Marzujriban Masfara, Thomas Cullison, Cornelis Weemstra | Journal: Solid Earth | Volume: 13 | Year: 2022 | First page: 1309 | Last page: 1325 | doi: https://doi.org/10.5194/se-13-1309-2022
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Investigating MSG-SEVIRI data as an additional predictor source in the KNMI probabilistic (severe) thunderstorm forecasting system
Thunderstorms can be a serious threat to society. In the Netherlands, the Royal Netherlands Meteo...
VA van Gastel | Year: 2012 | Pages: 65
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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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Seasonal Climate Extremes: Mechanisms, Predictability & Responses to Global Warming
Climate extremes are rarely occurring natural phenomena in the climate system. They often pose on...
ME Shongwe | University: Utrecht University | Year: 2010
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The impact of the control measures during the COVID-19 outbreak on air pollution in China
The outbreak of the COVID-19 virus in Wuhan, China, in January 2020 just before the
Spring Festiv...
C Fan, Y Li, J Guang, Z Li, A Elnashar, M Allam, G de Leeuw | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 23 | doi: doi:10.3390/rs12101613
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