Search results

Verberg filters
Sort by
Types
Publication types
Publication year
t/m
Toon filters

First 3521 results for ” JP Vanderlinden”

  1. Comparison between CARIBIC Aerosol Samples Analysed by Accelerator-Based Methods and Optical Particle Counter Measurements

    BG Martinsson, J Friberg, SM Andersson, A Weigelt, A Hermann, D Assmann, J Voigtlander, CAM Brenninkmeijer, PFJ van Velthoven, A Zahn | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2014 | First page: 2581 | Last page: 2596 | doi: 10.5194/amt-7-2581-2014

    Publication

  2. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production

    V Marecal, VH Peuch, C Andersson, S Andersson, J Arteta, M Beekman, A Benedictow, R Bergstrom, B Bessagnet, A Cansado, HJ Eskes, U Kumar, PFJ van Velthoven, R Versendaal, et al | Status: published | Journal: Geoscientific Model Development | Year: 2015 | First page: 2777 | Last page: 2813 | doi: 10.5194/gmd-8-2777-2015

    Publication

  3. Using large ensemble modelling to derive future changes in mountain specific climate indicators in a 2 °C and 3 °C warmer world in High Mountain Asia

    Natural disasters in High Mountain Asia (HMA) are largely induced by precipitation and temperatur...

    PNJ Bonekamp, N Wanders, K van der Wiel, AF Lutz, WW Immerzeel | Journal: International Journal of Climatology | Volume: 41 | Year: 2021 | First page: E964 | Last page: E979 | doi: 10.1002/joc.6742

    Publication

  4. 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

    Publication

  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

    Publication