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First 443 results for ” M Kortekaas”

  1. Attribution of the Australian bushfire risk to anthropogenic climate change

    Disastrous bushfires during the last months of 2019 and January 2020 affected Australia, raising ...

    Geert Jan van Oldenborgh, Folmer Krikken, Sophie Lewis, Nicholas J. Leach, Flavio Lehner, Kate R. Saunders, Michiel van Weele, Karsten Haustein, Sihan Li, David Wallom, Sarah Sparrow, Julie Arrighi, Roop K. Singh, Maarten K. van Aalst3, Sjoukje Y. Philip, Robert Vautard, and Friederike E. L. Otto | Journal: Natural Hazards and Earth System Sciences | Volume: 21 | Year: 2021 | First page: 941 | Last page: 960 | doi: 10.5194/nhess-21-941-2021

    Publication

  2. Overcoming the disconnect between energy system and climate modelling

    Energy system models underpin decisions by energy system planners and operators. Energy system mo...

    MT Craig, J Wohland, LP Stoop, A Kies, B Pickering, HC Bloomfield, J Browell, M de Felice, CJ Dent, A Deroubaix, F Frischmuth, PLM Gonzalez, A Grochowicz, K Gruber, P Hartel, M Kittel, L Kotzur, I Labuhn, JK Lundquist, N Pflugradt, K van der Wiel, M Zeyringer, DJ Brayshaw | Journal: Joule | Volume: 6 | Year: 2022 | First page: 1405 | Last page: 1417 | doi: 10.1016/j.joule.2022.05.010

    Publication

  3. RAIN EFFECTS ON ASCAT RETRIEVED WINDS

    In this study, the rain impact on the ASCAT operational Level 2 retrieved wind quality and the ef...

    w lin, M Portabella, A Stoffelen, A Turiel, A Verhoef, J Verspeek, J Ballabrera, J Vogelzang | Conference: IGARSS 2012 | Organisation: IEEE | Place: Munchen | Year: 2012 | First page: 0 | Last page: 0

    Publication

  4. Toward and improved ambiguity removal for ASCAT-derived winds

    The current ASCAT Wind Data Processor (AWDP) uses the 2D variational ambiguity removal (2DVAR) sc...

    W Lin, M Portabella, A Stoffelen, J Vogelzang, A Verhoef, A Turiel, V Gonzales | Conference: IGARSS 2014 | Organisation: IEEE | Place: Quebec city | Year: 2014 | First page: 0 | Last page: 0

    Publication

  5. Crowdsourcing for climate and atmospheric sciences: current status and future potential

    Crowdsourcing is traditionally defined as obtaining data or information by enlisting the services...

    CL Muller, L Chapman, S Johnston, C Kidd, S Illingworth, G Foody, A Overeem, RR Leigh | Status: published | Journal: Int. J. Climatology | Volume: 35 | Year: 2015 | First page: 3185 | Last page: 3203 | doi: 10.1002/joc.4210

    Publication