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First 1232 results for ” MH England”

1. 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 ...

   S Eliasson, KG Karlsson, E van Meijgaard, JF Meirink, M Stengel, U Willen | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 829 | Last page: 847 | doi: 10.5194/gmd-12-829-2019

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2. 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., Meirink J. F. | Status: published | Journal: Earth System Science Data | Volume: 9 | Year: 2017 | First page: 415 | Last page: 434 | doi: 10.5194/essd-9-415-2017

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3. A collection of sub-daily pressure and temperature observations for the early instrumental period with a focus on the

   The eruption of Mount Tambora (Indonesia) in April 1815 is the largest documented volcanic erupti...

   Y Brugnara, R Auchmann, S Bronnimann, AFV van Engelen, G van der Schrier, et al. | Status: published | Journal: Climate of the Past | Year: 2015 | doi: doi:10.5194/cp-11-1027-2015

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4. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

   Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

   Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

   Publication

5. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

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