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First 4775 results for ” and the Argo Steering Team”

  1. Tropospheric ozone determined from Aura OMI and MLS: Evaluation of measurements and comparison with the Global Modeling Initiative’s Chemical Transport Model

    Ozone measurements from the OMI and MLS instruments onboard the Aura satellite are used for deriv...

    JR Ziemke, S Chandra, BN Duncan, L Froidevaux, PK Bhartia, PF Levelt, JW Waters | Status: published | Journal: J. Geophys. Res. | Volume: 111 | Year: 2006 | First page: D19303 | doi: 10.1029/2006JD007089

    Publication

  2. A study on combining global and regional climate model results for generating climate scenarios of temperature and precipitation for the Netherlands

    G Lenderink, A van Ulden, B van den Hurk, F Keller | Status: published | Journal: Clim. Dyn. | Volume: 29 | Year: 2007 | First page: 157 | Last page: 176 | doi: 10.1007/s00382-007-0227-z

    Publication

  3. LS3MIP (v.1.0) contribution to CMIP6: The Land Surface, Snow and Soil moisture Model Intercomparison Program - aims, set-up and expected outcome

    BJJM van den Hurk et al. | Status: published | Journal: Geoscientific Model Development | Volume: 72 | Year: 2016

    Publication

  4. Assessment of post-fire changes in land surface temperature and surface albedo, and their relation with fire/burn severity using multi-temporal MODIS imagery

    This study evaluates the effects of the large 2007 Peloponnese (Greece) wildfires on changes in b...

    S Veraverbeke, WW Verstraeten, S Lhermitte, R Van De Kerchove, R Goossens | Status: published | Journal: International Journal of Wildland Fire | Volume: 21 | Year: 2012 | First page: 243 | Last page: 256 | doi: http://dx.doi.org/10.1071/WF10075

    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