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First 290 results for ” V Matthias”

  1. Comparison of model predicted low-level cloud parameters with satellite remote sensing observations during the BALTEX Bridge Campaigns

    A pressing task in numerical weather prediction and climate modelling is the evaluation of modell...

    M Schröder, NMN van Lipzig, F Ament, J-P Chaboureau, S Crewell, J Fischer, V Matthias, E van Meijgaard, A Walther, U Willén | Status: published | Journal: Atmospheric Research | Volume: 82 | Year: 2006 | First page: 83 | Last page: 101 | doi: doi:10.1016/j.atmosres.2005.12.005

    Publication

  2. Comparison of model predicted low-level cloud parameters with observations from the BALTEX Bridge Campaigns

    The BALTEX Bridge Campaigns (BBC), which were held in the Netherlands in 2001 and 2003 around the...

    NMN van Lipzig, M Schröder, S Crewell, F Ament, J-P Chaboureau, U Löhnert, V Matthias, E van Meijgaard, M Quante, U Willén, W Yen | Status: published | Journal: Atmospheric Research | Volume: 82 | Year: 2006 | First page: 55 | Last page: 82 | doi: doi:10.1016/j.atmosres.2006.01.010

    Publication

  3. Verkenning actualiteit Deltascenario's

    W Bruggeman, J Kwadijk, B van den Hurk, J Beersma, R van Dorland, GJ van den Born, J Matthijsen | Year: 2016

    Publication

  4. Differences in particulate matter concentrations between urban and rural regions under current and changing climate conditions

    A Mues, A Manders, M Schaap, LH van Ulft, E van Meijgaard, P Builtjes | Status: published | Journal: Atmos. Environm. | Volume: 80 | Year: 2013 | First page: 232 | Last page: 247 | doi: 10.1016/j.atmosenv.2013.07.049

    Publication

  5. New tropical peatland gas and particulate emissions factors indicate 2015 Indonesian fires released far more particulate matter (but Less Methane) than current inventories imply

    Deforestation and draining of the peatlands in equatorial SE Asia has greatly increased their fla...

    MJ Wooster, DLA Gaveau, MA Salim, T Zhang, W Xu, D Green, V Huijnen, D Murdyarso, D Gunawan | Status: published | Journal: Remote Sensing | Volume: 4 | Year: 2018 | doi: 10.3390/rs10040495

    Publication