-
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
-
Comprehensive Analysis of Seasonal and Geographical Variation in UVB Radiation Relevant for Vitamin D Production in Europe
Dermal synthesis, following sun exposure, is the main source of vitamin D. This study characteriz...
Khanna T, Shraim R, Zarkovic M, van Weele M, van Geffen J, Zgaga L. | Journal: Nutrients | Volume: 14 | Year: 2022 | First page: 5189 | Last page: 5204 | doi: 10.3390/nu14235189
Publication
-
Technical description of the KNMI Rainfall Generators for the Rhine and Meuse basins
This report gives a technical description of what is briefly known as the KNMI Rainfall (or Weath...
Jules J. Beersma, T. Adri Buishand and Maurice J. Schmeits
| Year: 2014 | Pages: 32
Publication
-
Assimilation of satellite derived surface heating rates in a Numerical Weather Prediction model
In a simplified data assimilation scheme, surface temperature heating rates were used to adjust t...
Bart van den Hurk and Han The | Year: 2002 | Pages: 19
Publication
-
Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.
Geostationary satellites observe the earth surface and atmosphere with a short repeat
time, thus...
Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980
Publication
