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First 4142 results for ” and Meirink”

1. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

   Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

   Benas, N., Meirink, J. F., Stengel, M., and Stammes, P | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2863-2019

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2. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

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3. The MSG-SEVIRI-based cloud property data record CLAAS-2

   Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for ...

   Benas, N., Finkensieper, S., Stengel, M., van Zadelhoff, G.-J., Hanschmann, T., Hollmann, R., and Meirink, J. F | Journal: Earth System Science Data | Year: 2017 | doi: https://doi.org/10.5194/essd-9-415-2017

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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. Evaluation of CLARA-A2 and ISCCP-H Cloud Cover Climate Data Records over Europe with ECA&D Ground-Based Measurements

   Clouds are of high importance for the climate system but they still remain one of its principal u...

   Tzallas, V., Hatzianastassiou, N., Benas, N., Meirink, J. F., Matsoukas, C., Stackhouse, P., and Vardavas, I | Journal: Remote Sensing | Volume: 11 | Year: 2019 | doi: https://doi.org/10.3390/rs11020212

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