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First 3120 results for ” Caitlin Pot en Nomikos Skyllas. 6: Geert Lenderink”

  1. Toward an Optimal Description of Atmospheric Flow

    A potentially optimal description of the evolution of a simple model atmosphere is investigated. ...

    FM Selten | Status: published | Journal: J. Atmos. Sci. | Volume: 50 | Year: 1993 | First page: 861 | Last page: 877

    Publication

  2. The effect of vertical ocean mixing on the tropical Atlantic in a coupled global climate model

    Sea surface temperature (SST) biases in the tropical Atlantic are a long-standing problem among c...

    AL Deppenmeier, R Haarsma, P le Sager, W Hazeleger | Status: published | Journal: Clim. Dyn. | Year: 2020 | doi: 10.1007%2Fs00382-020-05270-x

    Publication

  3. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

    The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

    X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

    Publication

  4. Bridging forecast verification and humanitarian decisions: a valuation approach for setting up action-oriented early warning systems

    Empirical evidence shows that acting on early warnings can help humanitarian organizations reduce...

    A Lopez, E Coughlan de Perez, J Bazo, P Suarez, BJJM van den Hurk, M van Aalst | Status: accepted | Journal: Weather and Climate Extremes | Year: 2018 | doi: https://doi.org/10.1016/j.wace.2018.03.006

    Publication

  5. Evaluationofthreemainstreamnumericalweatherprediction modelswithobservationsfrommeteorological mastIJmuidenattheNorthSea

    Numerical weather prediction models play an important role in the field of wind energy, for examp...

    PC Kalverla, GJ Steeneveld, RJ Ronda, AAM Holtslag | Status: published | Journal: Wind Energy | Year: 2018 | doi: https://doi.org/10.1002/we.2267

    Publication