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First 590 results for ”Dirk Malda”

1. High sensitivity of Aeolus UV surface returns to surface reflectivity

   Global ultraviolet (UV) surface reflectivity climatologies are all composed from daylight passive...

   L. D. Labzovskii, G. J. van Zadelhoff, L. G. Tilstra, J. de Kloe, D. P. Donovan & A. Stoffelen | Journal: Nature scientific reports | Volume: 13 | Year: 2023 | First page: 17552 | doi: 10.1038/s41598-023-44525-5

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2. Aeolus Rayleigh-channel winds in cloudy conditions

   Aeolus carried the first Doppler wind lidar to measure wind profiles from space. Aeolus was a Eur...

   Gert-Jan Marseille, Jos de Kloe, Alain Dabas, Thomas Flament, Michael Rennie | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 149 | Year: 2023 | First page: 3270 | Last page: 3289 | doi: https://doi.org/10.1002/qj.4555

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3. Ten years of 1 Hz solar irradiance observations at Cabauw, the Netherlands, with cloud observations, variability classifications, and statistics

   Surface solar irradiance varies on scales down to seconds, and detailed long-term observational d...

   Wouter B. Mol, Wouter H. Knap, and Chiel C. van Heerwaarden | Journal: Earth System Science Data | Volume: 15 | Year: 2023 | First page: 2139 | Last page: 2151 | doi: https://doi.org/10.5194/essd-15-2139-2023

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4. 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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5. 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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