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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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Action-based flood forecasting for triggering humanitarian action
Too often, credible scientific early warning information of increased disaster risk does not resu...
E Coughlan de Perez, BJJM van den Hurk, MK van Aalst, I Amuron, D Bamanya, T Hauser, B Jongman, A Lopez, S Mason, J Mendler de Suarez, F Pappenberger, A Rueth, E Stephens, P Suarez, J Wagemaker | Status: published | Journal: Hydrology and Earth System Sciences | Year: 2016 | doi: 10.5194/hess-2016-163
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Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment
Despite the global threat posed by large-scale eruptions to communities, to the climate, and to t...
F Manta, G Occhipinti, E Hill, A Perttu, JD Assink, B Taisne | Status: accepted | Journal: Journal of Geophysical Research: Solid Earth | Volume: 126 | Year: 2020 | doi: 10.1029/2020JB020726
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Tien jaar Baseline Surface Radiationpdf Network (BSRN) in Cabauw
Langdurig meten kan spannende zaken aan het licht brengen. Zaken die we op voorhand niet wisten o...
Knap, W. H. and C. van Oort | Journal: Meteorologica | Volume: 2 | Year: 2015 | First page: 20 | Last page: 23
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Who should measure air quality in modern cities? The example of decentralization of urban air quality monitoring in Krasnoyarsk (Siberia, Russia)
Researchers have warned that the paradigm about who should measure air quality (AQ) in cities can...
L. D. Labzovskii, J. D. Vande Hey, A. A. Romanov, P. Golovatina-Mora, D. Belikov, A. Lashkari, S. Takele Kenea, E. Hekman. Environmental Science and Policy | Journal: Environmental Science and Policy | Year: 2023 | doi: https://doi.org/10.1016/j.envsci.2022.11.016
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