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First 2165 results for ” JA Lopez Comino”

  1. Rainfall Estimation Accuracy of a Nationwide Instantaneously Sampling Commercial Microwave Link Network: Error Dependency on Known Characteristics

    Commercial microwave links are installed and maintained for the purpose of telecommunication. Hyd...

    LW de Vos, A Overeem, H Leijnse, R Uijlenhoet | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 36 | Year: 2019 | First page: 1267 | Last page: 1283 | doi: 10.1175/JTECH-D-18-0197.1

    Publication

  2. The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin

    Spatio-temporal variation of hydrological processes that have a strong lagged autocorrelation (me...

    S Khanal, A Lutz, W Immerzeel, H de Vries, N Wanders, BJJ van den Hurk | Status: published | Journal: Atmosphere | Volume: 10 | Year: 2019 | First page: 171 | doi: 10.3390/atmos10040171

    Publication

  3. Storm surge and extreme river discharge: a compound event analysis using ensemble impact modelling

    Many winter deep low-pressure systems passing over Western Europe have the potential to induce si...

    S Khanal, N Ridder, H de Vries, W Terink, B vd Hurk | Status: published | Journal: Frontiers in Marine Science | Volume: 7 | Year: 2019 | First page: 1 | Last page: 10 | doi: 10.3389/feart.2019.00224

    Publication

  4. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1)

    We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric che...

    V Huijnen, A Pozzer, J Arteta, G Brasseur, I Bouarar, S Chabrillat, Y Christophe, T Doumbia, J Flemming, J Guth, B Josse, V Karydis, V Marecal, S Pelletier | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 1725 | Last page: 1752 | doi: https://doi.org/10.5194/gmd-12-1725-2019

    Publication

  5. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

    Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

    KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1

    Publication