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First 3231 results for ” G van Schrier”

1. Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product

   The EarthCARE satellite mission's objective is to retrieve profiles of aerosol and cloud physical...

   Gerd-Jan van Zadelhoff; David P. Donovan; Ping Wang | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 3631 | Last page: 3651 | doi: 10.5194/amt-16-3631-2023

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2. 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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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...

   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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4. Weather-induced crop failure events under climate change: a storyline approach

   Unfavourable weather is a common cause for crop failures all over the world. Whilst extreme weath...

   H Goulart, K van der Wiel, C Folberth, J Balkovic, B van den Hurk | Journal: Earth System Dynamics | Volume: 12 | Year: 2021 | First page: 1503 | Last page: 1527 | doi: 10.5194/esd-12-1503-2021

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5. Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products

   The Earth Cloud, Aerosol and Radiation Explorer (EarthCARE) is a combination of multiple active a...

   Haarig, M., Hünerbein, A., Wandinger, U., Docter, N., Bley, S., Donovan, D., and van Zadelhoff, G.-J | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | doi: https://doi.org/10.5194/amt-16-5953-2023

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