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First 3053 results for ” T Brandsma (KNMI-contributer)”

  1. NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities

    NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...

    JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321

    Publication

  2. Improving Neutral Density Predictions Using Exospheric Temperatures Calculated on a Geodesic, Polyhedral Grid

    A new model of exospheric temperatures has been developed, with the objective of predicting globa...

    DR Weimer, PM Mehta, WK Tobiska, E Doornbos, MG Mlynczak, DP Drob, JT Emmert | Status: published | Journal: Space Weather | Volume: 18 | Year: 2020 | doi: 10.1029/2019SW002355

    Publication

  3. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2)

    An improved tropospheric nitrogen dioxide (NO2) retrieval algorithm from the Global Ozone Monitor...

    S Liu, P Valks, G Pinardi, J Xu, A Argyrouli, R Lutz, LG Tilstra, V Huijnen, F Hendrick, M Van Roozendael | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 775 | Last page: 787 | doi: 10.5194/amt-13-755-2020

    Publication

  4. A generalized simulation capability for rotating-beam scatterometers

    Rotating-beam wind scatterometers exist in twotypes: rotating fan-beam and rotating pen...

    Z Li, AH Verhoef, ACM Stoffelen | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 3573 | Last page: 3594 | doi: https://doi.org/10.5194/amt-12-3573-2019

    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