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First 937 results for ” PJ Ward”

  1. Subseasonal Statistical Forecasts of Eastern U.S. Hot Temperature Events

    Extreme summer temperatures can cause severe societal impacts. Early warnings can aid societal pr...

    S Vijverberg, M Schmeits, K van der Wiel, D Coumou | Status: published | Journal: Mon. Wea. Rev. | Volume: 148 | Year: 2020 | First page: 4799 | Last page: 4822 | doi: 10.1175/MWR-D-19-0409.1

    Publication

  2. Challenges to understanding extreme weather changes in lower income countries

    The science of event attribution has emerged to routinely answer the question whether and to what...

    FEL Otto, L Harrington, K Schmitt, S Philip, S Kew, GJ van Oldenborgh, R Singh, J Kimutai, P Wolski | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2020 | First page: E1851 | Last page: E1860 | doi: https://doi.org/10.1175/BAMS-D-19-0317.1

    Publication

  3. Urban Finescale Forecasting Reveals Weather Conditions with Unprecedented Detail

    Urban landscapes impact the lives of urban dwellers by influencing local weather conditions. Howe...

    RJ Ronda, GJ Steeneveld, BG Heusinkveld, JJ Attema, AAM Holtslag | Status: published | Journal: BAMS | Volume: 98 | Year: 2017 | First page: 2675 | Last page: 2688 | doi: https://doi.org/10.1175/BAMS-D-16-0297.1

    Publication

  4. Coastal Iberia Summertime Low‐Level Flow Assessed From Scatterometers

    In summer, the prevailing northerly flow off west Iberia occasionally intensifies and weakens wit...

    IT Monteiro, J Vogelzang | Status: published | Journal: J. Geophys. Res. | Year: 2019 | doi: https://doi.org/10.1029/2018JD028648

    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