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First 1835 results for ” Alexander Geiss”

  1. Developing a model for the prediction of ground motions due to earthquakes in the Groningen gas field

    JJ Bommer, B Dost, B Edwards, PP Kruiver, M Ntinalexis, A Rodriguez-Marek, PJ Stafford, J Van Elk | Status: published | Journal: Netherlands Journal of Geosciences | Volume: 96 | Year: 2017 | First page: s203 | Last page: s213 | doi: 10.1017/njg.2017.28

    Publication

  2. The 1997 El Niño impact on clouds, water vapour, aerosols and reactive trace gases in the troposphere, as measured by the Global Ozone Monitoring Experiment.

    The El Niño event of 1997/1998 caused dry conditions over the Indonesian area that were followed ...

    D Loyola, P Valks, T Ruppert, A Richter, T Wagner, W Thomas, RJ van der A, R Meisner | Journal: Advances in Geosciences | Volume: 6 | Year: 2006 | First page: 267 | Last page: 272 | doi: 1680-7359/adgeo/2006-6-267

    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

    Publication