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First 1029 results for ” R Beer”

  1. Discharge simulations performed with a hydrological model using bias corrected regional climate model input

    Studies have demonstrated that precipitation on Northern Hemisphere mid-latitudes has increased i...

    S van Pelt, P Kabat, H ter Maat, BJJM van den Hurk, A Weerts | Status: published | Journal: Hydrology and Earth System Sciences | Volume: 13 | Year: 2009 | First page: 2387 | Last page: 2397

    Publication

  2. Towards regional projections of twenty-first century sea-level change using IPCC SRES scenarios

    ABA Slangen, CA Katsman, RSW van der Wal, LLA Vermeersen, REM Riva | Status: published | Journal: Clim. Dyn. | Volume: 38 | Year: 2012 | First page: 1191 | Last page: 1209 | doi: 10.1007/s00382-011-1057-6

    Publication

  3. The role of spatial and temporal model resolution in a flood event storyline approach in western Norway

    We apply a physical climate storyline approach to an autumn flood event in the West Coast of Norw...

    N Schaller, J Sillmann, M Muller, R Haarsma, W Hazeleger, TJ Hegdahl, T Kelder, G vd Oord, A Weerts, KRP Whan | Status: published | Journal: Weather and Climate Extremes | Volume: 29 | Year: 2020 | doi: 10.1016/j.wace.2020.100259

    Publication

  4. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign

    JL Tirpitz, U Friess, F Hendrick, C Alberti, M Allaart, A Apituley, ......, M den Hoed, ......, A Piters, ......, D Stein Zweers, ......, T Vlemmix, Et al | Status: accepted | Journal: Atmospheric Measurement Techniques | Year: 2020 | doi: 10.5194/amt-2019-456

    Publication

  5. Integration of Surface Reflectance and Aerosol Retrieval Algorithms for Multi‐Resolution Aerosol Optical Depth Retrievals over Urban Areas.

    The SEMARA approach, an integration of the Simplified and Robust Surface Reflectance Estimation ...

    Bilal, M.; Mhawish, A.; Ali, A.; Nichol, J.E.; de Leeuw, G.; Mazhar, U.; Qiu, Z.; Bleiweiss, M.P.; Nazeer, M. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 373 | doi: https://doi.org/10.3390/rs14020373

    Publication