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First 1439 results for ” Marion Gehlen”

1. Ground-based validation of EOS-Aura OMI NO2 vertical column data in the midlatitude mountain ranges of Tien Shan (Kyrgyzstan) and Alps (France)

   Ground-based UV-visible instruments for NO2 vertical column measurements have been operating at I...

   D Ionov, YM Timofeyev, VP Sinyakov, VK Semenov, F Goutail, JP Pommereau, EJ Bucsela, EA Celarier, M Kroon | Status: published | Journal: J. Geophys. Res. | Volume: 113 | Year: 2008 | doi: 10.1029/2007JD008659

   Publication

2. From proof-of-concept to proof-of-value: Approaching third-party data to operational workflows of national meteorological services

   National meteorological services (NMS) are limited by practical and financial boundaries in the n...

   Irene Garcia-Marti Aart Overeem Jan Willem Noteboom Lotte de Vos Marijn de Haij Kirien Whan | Journal: International Journal of Climatology | Year: 2022 | First page: 1 | Last page: 18 | doi: 10.1002/joc.7757

   Publication

3. A climate database with varying drought-heat signatures for climate impact modelling

   Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment...

   E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Geoscience Data Journal | Volume: 9 | Year: 2022 | First page: 154 | Last page: 166 | doi: 10.1002/gdj3.129

   Publication

4. The effects of varying drought-heat signatures on terrestrial carbon dynamics and vegetation composition

   The frequency and severity of droughts and heatwaves are projected to increase under global warmi...

   E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Biogeosciences | Volume: 19 | Year: 2022 | First page: 1979 | Last page: 1993 | doi: 10.5194/bg-19-1979-2022

   Publication

5. 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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