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First 1456 results for ” H ter Maat”

1. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

   Climate change has a large influence on the occurrence of extreme hydrological events. However, r...

   SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108

   Publication

2. The El Niño stochastic oscillator

   A stochastic model is fitted to the observed NINO3.4 time series between 1951-1995. The model is ...

   G Burgers | Status: published | Journal: Clim. Dyn. | Volume: 15 | Year: 1999 | First page: 521 | Last page: 531 | doi: 10.1007/s003820050297

   Publication

3. Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods

   This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...

   Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021

   Publication

4. De invloed van mast en de uithouders op de windmeting te Cabauw

   Sinds december 1972 is de 213 m hoge meetmast van het K.N.M.I te Cabauw in gebruik (Van Ulden e...

   J.G. van der Vliet | Year: 1981 | Pages: 78

   Publication

5. Estimating trends and the current climate mean in a changing climate

   Describing the climate evolution using trend lines and estimating the current climate mean (CCM) ...

   Scherrer, S. C., de Valk, C., Begert, M., Gubler, S., Kotlarski, S., & Croci-Maspoli, M. | Journal: Climate Services | Volume: 33 | Year: 2024 | doi: https://doi.org/10.1016/j.cliser.2023.100428

   Publication