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First 694 results for ” Marocco G.”

  1. The added value of prospective spaceborne Doppler wind lidar for extreme weather events

    Lacking an established methodology to test the potential impact of prospective extensions to the ...

    GJ Marseille | Conference: 29th EWGLAM and 14th SRNWP Meetings | Place: Dubrovnik | Year: 2007 | First page: 0 | Last page: 0

    Publication

  2. Limited role of climate change in extreme low rainfall associated with southern Madagascar food insecurity, 2019-21

    Southern Madagascar recently experienced a severe food security crisis, made significantly worse ...

    Harrington, Luke James and Wolski, Piotr and Pinto, Izidine and Ramarosandratana, AnzelàMamiarisoa and Barimalala, Rondrotiana and Vautard, Robert and Philip, Sjoukje and Kew, Sarah and Singh, Roop and Heinrich, Dorothy and Arrighi, Julie and Raju, Emmanuel and Thalheimer, Lisa and Razanakoto, Thierry and van Aalst, Maarten and Li, Sihan and Bonnet, Rémy and Yang, Wenchang and Otto, Friederike E L and van Oldenborgh, Geert Jan | Journal: Environ. Res.: Climate | Year: 2022 | doi: https://doi.org/10.1088/2752-5295/aca695

    Publication

  3. Attribution of the record high Central England temperature of 2014 to anthropogenic influences

    In 2014, Central England experienced its warmest year in a record extending back to 1659. Using b...

    AD King, GJ van Oldenborgh, DJ Karoly, SC Lewis, H Cullen | Status: published | Journal: Environmental Research Letters | Volume: 10 | Year: 2015 | First page: 054002 | doi: 10.1088/1748-9326/10/5/054002

    Publication

  4. Evaluation of SEVIRI retrieval of high ice water content environments with other satellite measurements (HAIC Deliverable 32.5)

    A detailed evaluation of the SEVIRI CPP High IWC mask using one full year of DARDAR data is prese...

    ATJ de Laat, JF Meirink, F Parol, R Nohra | Year: 2017

    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