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First 1052 results for ” JF Meirink”

1. An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic

   Accurate determination of radiative energy fluxes over the Arctic is of crucial importance for un...

   Riihela, Key, Meirink, Kuipers Munneke, Palo, Karlsson | Status: published | Journal: J. Geophys. Res. | Volume: 122 | Year: 2017 | doi: 10.1002/2016JD026443

   Publication

2. Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator

   An evaluation of the ERA-Interim clouds using satellite observations is presented. To facilitate ...

   M Stengel, C Schlundt, S Stapelberg, O Sus, S Eliasson, U Willen, JF Meirink | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 17601 | Last page: 17614 | doi: 10.5194/acp-18-17601-2018

   Publication

3. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations.

   A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

   P Wang, RM van Westrhenen, JF Meirink, SH van der Veen, WH Knap | Status: published | Journal: Solar Energy | Volume: 177 | Year: 2018 | First page: 47 | Last page: 58 | doi: https://doi.org/10.1016/j.solener.2018.10.073

   Publication

4. Evaluation of rainfall products derived from satellites and microwave links for The Netherlands

   High-resolution inputs of rainfall are important in hydrological sciences, especially for urban h...

   Rios Gaona, Overeem, Brasjen, Meirink, Leijnse, Uijlenhoet | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 55 | Year: 2017 | First page: 6849 | Last page: 6859 | doi: 10.1109/TGRS.2017.2735439

   Publication

5. 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