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First 1499 results for ” P Laroche”

1. 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...

   Wang, P., van Westrhenen, R., Meirink, J. F., van der Veen, S., and Knap, W | Journal: Solar Energy | Volume: 177 | Year: 2019 | doi: https://doi.org/10.1016/j.solener.2018.10.073

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2. 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...

   Wang, P., R.M. van Westrhenen, J.F. Meirink, S.H. van der Veen and W.H. Knap | Journal: Solar Energy | Year: 2018 | doi: https://doi.org/10.1016/j.solener.2018.10.073

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3. A perfect model study on the reliability of the added small-scale information in regional climate change projections

   he issue of the added value (AV) of high resolution regional climate models is complex and still ...

   Lenderink, Geert, de Vries, Hylke, van Meijgaard, Erik, van der Wiel, Karin and Selten, Frank | Journal: Climate Dynamics | Volume: 60 | Year: 2023 | First page: 2563 | Last page: 2579 | doi: 10.1007/s00382-022-06451-6

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4. First Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way

   We present the first Event Horizon Telescope (EHT) observations of Sagittarius A* (Sgr A*), the G...

   EHT Collaboration, etal., H. Falcke etal.. G. Geertsema, etal. | Journal: ApJL | Volume: 930 | Year: 2022 | doi: 10.3847/2041-8213/ac6674

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5. Introduction of the DISAMAR radiative transfer model: determining instrument specifications and analysing methods for atmospheric retrieval (version 4.1.5)

   DISAMAR (determining instrument specifications and analysing methods for atmospheric retrieval) i...

   de Haan, J. F., Wang, P., Sneep, M., Veefkind, J. P., and Stammes, P | Journal: Geoscientific Model Development | Year: 2022 | doi: https://doi.org/10.5194/gmd-15-7031-2022

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