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First 793 results for ” P Houtekamer”

  1. 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

  2. Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil

    Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in mete...

    Droste, Pape, Overeem, Leijnse, Steeneveld, Delden, Uijlenhoet | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 34 | Year: 2017 | First page: 1853 | Last page: 1866 | doi: 10.1175/JTECH-D-16-0150.1

    Publication

  3. Improving potential wind for extreme wind statistics

    To correct measured wind for local roughness at the station location, exposure correction factors...

    N Wever, G Groen | Year: 2009 | Pages: 114

    Publication

  4. Short-Term Forecasting of High-Impact Weather with Physics-Guided Machine Learning : Technical Report

    Extreme weather events such as heavy storms and heavy precipitation have a large impact on our so...

    C. A. Severijns & G. A. Pagani | Year: 2023 | Pages: 12

    Publication

  5. Enhancement of solar and ultraviolet surface irradiance under partial cloudy conditions

    Clouds are important for the transfer of solar radiation to the Earth's surface. In this study, t...

    Serdal Tunc | Year: 1999 | Pages: 45

    Publication