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First 1467 results for ” S Godin-Beekman”

  1. The southeastern tropical atlantic sst bias investigated with a coupled atmosphere-ocean single-column model at a pirata mooring site

    Warm sea surface temperature (SST) biases in the tropical Atlantic Ocean form a longstanding prob...

    AL Deppenmeier, RJ Haarsma, C van Heerwaarden, W Hazeleger | Status: published | Journal: J. Climate | Year: 2020 | doi: 10.1175/JCLI-D-19-0608.1

    Publication

  2. Air-Sea interaction over the Gulf Stream in an ensemble of HighResMIP present climate simulations

    A dominant paradigm for mid-latitude air-sea interaction identifies the synoptic-scale atmospheri...

    A Bellucci, PJ Athanasiadis, E Scoccimarro, P Ruggieri, S Gualdi, G Fedele, RJ Haarsma, J Garcia-Serrano, M Castrillo, D Putrasahan, E Sanchez-Gomez, MP Moine, CD Roberts, MJ Roberts, PL Vidale | Status: published | Journal: Clim. Dyn. | Year: 2021 | doi: 10.1007/s00382-020-05573-z

    Publication

  3. A low-cost mobile multidisciplinary measurement platform for monitoring geophysical parameters

    Geophysical studies and real-time monitoring of natural hazards, such as volcanic eruptions or se...

    OFC den Ouden, JD Assink, CD Oudshoorn, D Filippi, LG Evers | Status: submitted | Journal: Atmospheric Measurement Techniques | Year: 2020 | doi: 10.5194/amt-2020-371

    Publication

  4. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

    Global observations of tropospheric nitrogen dioxide (NO2) columns have been shown to be feasible...

    KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, JHGM van Geffen, M Zara, RJ van der A | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 6651 | Last page: 6678 | doi: https://doi.org/10.5194/amt-11-6651-2018

    Publication

  5. 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