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First 441 results for ” G De Chiara”

  1. First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China

    Aeolus is the first satellite mission to directly observe wind profile information on a global sc...

    Guo, J., Liu, B., Gong, W., Shi, L., Zhang, Y., Ma, Y., Zhang, J., Chen, T., Bai, K., Stoffelen, A., de Leeuw, G., and Xu, X. | Journal: Atmos. Chem. Phys. | Year: 2021 | doi: 10.5194/acp-21-2945-2021

    Publication

  2. Extreme Precipitation events over North China in August 2010 and their link to eastward--propagating wave-trains across Eurasia: observations and monthly forecasting

    YJ Orsolini, L Zhang, DHW Peters, K Fraedrich, X Zhu, A Schneidereit, BJJM van den Hurk | Status: accepted | Journal: Quart. J. Royal Meteor. Soc. | Year: 2015

    Publication

  3. Extreme Precipitation events over North China in August 2010 and their link to eastward-propagating wave-trains across Eurasia: observations and monthly forecasting

    YJ Orsolini, L Zhang, DHW Peters, K Fraedrich, X Zhu, A Schneidereit, BJJM van den Hurk | Status: published | Journal: Quart. J. Royal Meteor. Soc. | Year: 2015 | doi: 10.1002/qj.2594

    Publication

  4. Characterization and source regions of 51 high CO events observed during CARIBIC flights between South China and the Philippines, 2005-2008

    SC Lai, AK Baker, TJ Schuck, F Slemr, CAM Brenninkmeijer, PFJ van Velthoven, DE Oram, A Zahn, H Ziereis | Status: published | Journal: J. Geophys. Res. | Year: 2011 | doi: 10.1029/2011JD016375

    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