-
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
-
CRAAS: A European Cloud Regime dAtAset Based on the CLAAS-2.1 Climate Data Record
Given the important role of clouds in our planet’s climate system, it is crucial to further impro...
Tzallas, V.; Hünerbein, A.; Stengel, M.; Meirink, J.F.; Benas, N.; Trentmann, J.; Macke, A. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: 10.3390/rs14215548
Publication
-
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
Publication
-
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
Publication
-
On High and Extreme Wind Calibration Using ASCAT
Accurate high and extreme sea surface wind observations are essential for the meteorological, oce...
Federica Polverari, Marcos Portabella, Wenming Lin, Joseph W Sapp, Ad Stoffelen, Zorana Jelenak, Paul S Chang
| Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2021 | doi: https://doi.org/10.1109/TGRS.2021.3079898
Publication
