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Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models
Climate change has a large influence on the occurrence of extreme hydrological events. However, r...
SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108
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Satellite cloud and precipitation property retrievals for climate monitoring and hydrological applications
This thesis presents the retrieval, evaluation, and application of cloud physical property datase...
ELA Wolters | University: Universiteit Utrecht | Year: 2012
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A potential Feature Mask algorithm for the EarthCARE lidar
The Earth Clouds, Aerosol and Radiation Explorer (EarthCARE) is a combined ESA/JAXA mission to be...
GJ van Zadelhoff, DP Donovan | Conference: EarthCARE workshop 2009 | Organisation: NICT, JAXA and ESA | Place: Kyoto | Year: 2009 | First page: 1 | Last page: 322
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POST-EPS WIND SCATTEROMETER CONCEPT TRADE-OFFS AND WIND RETRIEVAL PERFORMANCE ASSESSMENT
The Post-EPS (or EPS-Second Generation) mission will be deployed in the 2019 – 2021 time frame in...
CC Lin, M Betto, M Belmonte Rivas, A Stoffelen, J de Kloe | Conference: 2010 EUMETSAT Meteorological Satellite Conference | Organisation: EUMETSAT | Place: Cordoba, Spain | Year: 2010 | First page: 0 | Last page: 0
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TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece
This study aims to cross-validate ground-based and satellite-based models of three photobiologica...
Zempila, Geffen, Taylor, Fountoulakis, Koukouli, Weele, A, Bais, Meleti, Balis | Status: published | Journal: Atm. Chem. Phys. | Volume: 17 | Year: 2017 | First page: 7157 | Last page: 7174 | doi: 10.5194/acp-17-7157-2017
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