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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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Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation
The increased usage of solar energy places additional importance on forecasts of solar radiation....
K Bakker, K Whan, W Knap, M Schmeits | Status: published | Journal: Solar Energy | Volume: 191 | Year: 2019 | First page: 138 | Last page: 150 | doi: 10.1016/j.solener.2019.08.044
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Human influence on growing-period frosts like the early April 2021 in Central France
In early April 2021 several days of harsh frost affected central Europe. This led to very severe ...
Vautard, R., van Oldenborgh, G. J., Bonnet, R., Li, S., Robin, Y., Kew, S., Philip, S., Soubeyroux, J.-M., Dubuisson, B., Viovy, N., Reichstein, M., Otto, F., and Garcia de Cortazar-Atauri, I | Journal: NHESSD | Year: 2022 | doi: https://doi.org/10.5194/nhess-2022-41
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Intercomparison of daytime stratospheric NO2 satellite retrievals and model simulations
This paper evaluates the agreement between stratospheric NO2 retrievals from infrared limb sounde...
M Belmonte Rivas, P Veefkind, F Boersma, P Levelt, H Eskes, J Gille | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 7 | Year: 2014 | First page: 2203 | Last page: 2225 | doi: 10.5194/amt-7-2203-2014
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Meteoroloigical support for anticipatory water management
METEOROLOGICAL SUPPORT FOR ANTICIPATORY WATER MANAGEMENT , C.J. Kok , B.G.J. Wichers Schreur , D....
cj kok | Journal: knmi-document | Year: 2015
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