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First 2018 results for ”Dirk Wolters”

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

   Publication

2. Shallow crustal imaging using distant, high-magnitude earthquakes

   Global phases, viz. seismic phases that travel through the Earth’s core, can be used to locally i...

   Johno van IJsseldijk, Elmer Ruigrok, Arie Verdel, Cornelis Weemstra | Journal: Geophysical Journal International | Volume: 219 | Year: 2019 | First page: 1082 | Last page: 1091 | doi: https://doi.org/10.1093/gji/ggz343

   Publication

3. 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

   Publication

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

   Publication

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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