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First 49 results for ”M Zappa”

  1. Detecting Spatiotemporal Dynamics of Western European Heatwaves Using Deep Learning

    Heatwaves over western Europe are increasing faster than elsewhere, which recent studies have att...

    T. Happé, J. S. Wijnands, M. Á. Fernández-Torres, P. Scussolini, L. Muntjewerf, and D. Coumou | Journal: Artificial Intelligence for the Earth Systems | Volume: 3(4) | Year: 2024 | doi: https://doi.org/10.1175/AIES-D-23-0107.1

    Publication

  2. A single-column model intercomparison of a heavily drizzling stratocumulus topped boundary layer

    This study presents an intercomparison of single-column model simulations of a nocturnal heavily ...

    MC Wyant, CS Bretherton, A Chlond, BM Griffin, H Kitagawa, CL Lappen, VE Larson, A Lock, S Park, SR de Roode, M Zhao, AS Ackerman | Status: published | Journal: J. Geophys. Res. | Volume: 112 | Year: 2007 | doi: 10.1029/2007JD008536

    Publication

  3. Global predictability of temperature extremes

    Coughlan de Perez, Aalst, Bischiniotis, Mason, Nissan, Pappenberger, Stephens, Zsoter, Hurk | Status: accepted | Journal: Environmental Research Letters | Year: 2018 | doi: 10.1088/1748-9326/aab94a

    Publication

  4. On Dropsonde Surface-Adjusted Winds and Their Use for the Stepped Frequency Microwave Radiometer Wind Speed Calibration

    The airborne stepped frequency microwave radiometer (SFMR) provides the measurements of 10-m ocea...

    Federica Polverari, Joseph W Sapp, Marcos Portabella, Ad Stoffelen, Zorana Jelenak, Paul S Chang | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2022 | doi: https://doi.org/10.1109/TGRS.2022.3189310

    Publication

  5. Should seasonal forecasts be used for flood preparedness?

    Should seasonal forecasts be used for flood preparedness? Erin Coughlan de Perez, Elisabeth Step...

    E Coughlan de Perez, E Stephens, K Bischiniotis, M van Aalst, BJJM van den Hurk, S Mason, H Nissan, F Pappenberger | Status: accepted | Journal: Hydrology and Earth System Sciences | Volume: 21 | Year: 2017 | doi: https://doi.org/10.5194/hess-21-4517-2017

    Publication