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First 4867 results for ” S van Andel”

1. Added value of large ensemble simulations for assessing extreme river discharge in a 2 °C warmer world

   The assessment of return periods of extreme hydrological events often relies on statistical analy...

   K van der Wiel, N Wanders, FM Selten, MFP Bierkens | Status: published | Journal: Geophysical Research Letters | Volume: 46 | Year: 2019 | First page: 2093 | Last page: 2102 | doi: 10.1029/2019GL081967

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2. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

   The development and application of chemistry transport models has a long tradition. Within the Ne...

   Astrid M. M. Manders, John Douros, Henk Eskes, Peter van Velthoven | Status: published | Journal: Geoscientific Model Development | Volume: Volume 10, issue 11 | Year: 2017 | doi: https://doi.org/10.5194/gmd-10-4145-2017

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3. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

   Large-ensemble climate model simulations can provide deeper understanding of the characteristics ...

   T Kelder, N Wanders, K van der Wiel, TI Marjoribanks, LJ Slater, RI Wilby, C Prudhomme | Journal: Environmental Research Letters | Volume: 17 | Year: 2022 | First page: 044052 | doi: 10.1088/1748-9326/ac5cf4

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4. Comparison of dust-layer heights from active and passive satellite sensors

   Aerosol-layer height is essential for understanding the impact of aerosols on the climate system....

   Kylling, A.; Vandenbussche, S.; Capelle, V.; Cuesta, J.; Klüser, L.; Lelli, L.; Popp, T.; Stebel, K.; Veefkind, P. | Journal: Atmospheric Measurement Techniques | Year: 2018 | doi: https://doi.org/10.5194/amt-11-2911-2018

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5. 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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