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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
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Description and evaluation of the tropospheric aerosol scheme in the Integrated Forecasting System (IFS-AER, cycle 47R1) of ECMWF
This article describes the Integrated Forecasting System aerosol scheme (IFS-AER) used operationa...
Remy S., Kipling Z., Huijnen V., Flemming J., Nabat P., Michou M., Ades M., Engelen R., Peuch V.-H. | Journal: Geoscientific Model Development | Volume: 15 (12) | Year: 2022 | First page: 4881 | Last page: 4912 | doi: 10.5194/gmd-15-4881-2022
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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
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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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Extreme Winds from Ku-Band and C-Band Wind Scatterometers
C-band scatterometer winds have been adjusted for extreme conditions and in this research extensi...
Xingou Xu, Ad Stoffelen, Weicheng Ni, Marcos Portabella, Alberto Rabaneda | Journal: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium | Year: 2023 | doi: 10.1109/IGARSS52108.2023.10281803
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