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    Response of Extreme Precipitation to Urbanization over the Netherlands

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 004::page 645
    Author:
    Golroudbary, Vahid Rahimpour
    ,
    Zeng, Yijian
    ,
    Mannaerts, Chris M.
    ,
    Su, Zhongbo (Bob)
    DOI: 10.1175/JAMC-D-18-0180.1
    Publisher: American Meteorological Society
    Abstract: AbstractKnowledge of the response of extreme precipitation to urbanization is essential to ensure societal preparedness for the extreme events caused by climate change. To quantify this response, this study scales extreme precipitation according to temperature using the statistical quantile regression and binning methods for 231 rain gauges during the period of 1985?2014. The positive 3%?7% scaling rates were found at most stations. The nonstationary return levels of extreme precipitation are investigated using monthly blocks of the maximum daily precipitation, considering the dependency of precipitation on the dewpoint, atmospheric air temperatures, and the North Atlantic Oscillation (NAO) index. Consideration of Coordination of Information on the Environment (CORINE) land-cover types upwind of the stations in different directions classifies stations as urban and nonurban. The return levels for the maximum daily precipitation are greater over urban stations than those over nonurban stations especially after the spring months. This discrepancy was found by 5%?7% larger values in August for all of the classified station types. Analysis of the intensity?duration?frequency curves for urban and nonurban precipitation in August reveals that the assumption of stationarity leads to the underestimation of precipitation extremes due to the sensitivity of extreme precipitation to the nonstationary condition. The study concludes that nonstationary models should be used to estimate the return levels of extreme precipitation by considering the probable covariates such as the dewpoint and atmospheric air temperatures. In addition to the external forces, such as large-scale weather modes, circulation types, and temperature changes that drive extreme precipitation, urbanization could impact extreme precipitation in the Netherlands, particularly for short-duration events.
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      Response of Extreme Precipitation to Urbanization over the Netherlands

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263530
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    contributor authorGolroudbary, Vahid Rahimpour
    contributor authorZeng, Yijian
    contributor authorMannaerts, Chris M.
    contributor authorSu, Zhongbo (Bob)
    date accessioned2019-10-05T06:49:27Z
    date available2019-10-05T06:49:27Z
    date copyright1/14/2019 12:00:00 AM
    date issued2019
    identifier otherJAMC-D-18-0180.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263530
    description abstractAbstractKnowledge of the response of extreme precipitation to urbanization is essential to ensure societal preparedness for the extreme events caused by climate change. To quantify this response, this study scales extreme precipitation according to temperature using the statistical quantile regression and binning methods for 231 rain gauges during the period of 1985?2014. The positive 3%?7% scaling rates were found at most stations. The nonstationary return levels of extreme precipitation are investigated using monthly blocks of the maximum daily precipitation, considering the dependency of precipitation on the dewpoint, atmospheric air temperatures, and the North Atlantic Oscillation (NAO) index. Consideration of Coordination of Information on the Environment (CORINE) land-cover types upwind of the stations in different directions classifies stations as urban and nonurban. The return levels for the maximum daily precipitation are greater over urban stations than those over nonurban stations especially after the spring months. This discrepancy was found by 5%?7% larger values in August for all of the classified station types. Analysis of the intensity?duration?frequency curves for urban and nonurban precipitation in August reveals that the assumption of stationarity leads to the underestimation of precipitation extremes due to the sensitivity of extreme precipitation to the nonstationary condition. The study concludes that nonstationary models should be used to estimate the return levels of extreme precipitation by considering the probable covariates such as the dewpoint and atmospheric air temperatures. In addition to the external forces, such as large-scale weather modes, circulation types, and temperature changes that drive extreme precipitation, urbanization could impact extreme precipitation in the Netherlands, particularly for short-duration events.
    publisherAmerican Meteorological Society
    titleResponse of Extreme Precipitation to Urbanization over the Netherlands
    typeJournal Paper
    journal volume58
    journal issue4
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-18-0180.1
    journal fristpage645
    journal lastpage661
    treeJournal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 004
    contenttypeFulltext
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