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First 1735 results for ” JB Pernov”

1. Estimating trends and the current climate mean in a changing climate

   Describing the climate evolution using trend lines and estimating the current climate mean (CCM) ...

   Scherrer, S. C., de Valk, C., Begert, M., Gubler, S., Kotlarski, S., & Croci-Maspoli, M. | Journal: Climate Services | Volume: 33 | Year: 2024 | doi: https://doi.org/10.1016/j.cliser.2023.100428

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2. 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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3. 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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4. A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation

   This study gives a systematic comparison of the Tropospheric Monitoring Instrument (TROPOMI) vers...

   Takashi Sekiya, Kazuyuki Miyazaki, Henk Eskes, Kengo Sudo, Masayuki Takigawa, and Yugo Kanaya | Journal: Atmos | Year: 2022 | doi: https://doi.org/10.5194/amt-15-1703-2022

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5. Mesoscale weather systems and their interactions with windfarms: A study for the Kattegat.

   Before an off-shore wind farm is built a thorough resource assessment of all available locations ...

   Jérôme Neirynck, Ad Stoffelen, Johan Meyers, Nicole van Lipzig | Journal: EGU General Assembly | Year: 2022 | doi: https://doi.org/10.5194/egusphere-egu22-5030

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