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    Contribution of Urban Surface Expansion to Regional Warming in Beijing, China

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 006::page 1551
    Author:
    ZHAO, DEMING
    ,
    WU, JIAN
    DOI: 10.1175/JAMC-D-17-0019.1
    Publisher: American Meteorological Society
    Abstract: he contribution of urban surface expansion to regional warming based on meteorological observational station data may vary with significant uncertainty because of its spatial heterogeneity, which promotes a requirement for numerical model-based investigations. Satellite-based images from 1980 to 2016 with fine-resolution over three city clusters and displaying the urban surface expansion in China due to rapid economic development and anthropogenic activity were used to perform 37-year nested dynamical downscaling using the Weather Research and Forecasting model (WRF). The urban surface areas in Beijing expressed marked expansion in the last 37 years. The contribution of urban surface expansion to regional warming was approximately 22% of the overall warming in Beijing and was stronger in the plains areas of Beijing (42%). The contributions to land-use grids that changed from non-urban (in 1980) to urban (in 2016) (N2U) were much stronger than those to grids that were classified as urban in both time periods (U2U), which were closer to the values of urban areas (including N2U and U2U) because of the intense increase in urban surface areas. Urban-related warming expressed marked annual variation and was greater in the warm seasons and smaller in the cold seasons. The greater increase in surface air temperature (SAT) minimum and the weaker SAT maximum accounted for the decreased diurnal temperature range.
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      Contribution of Urban Surface Expansion to Regional Warming in Beijing, China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217801
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    contributor authorZHAO, DEMING
    contributor authorWU, JIAN
    date accessioned2017-06-09T16:51:45Z
    date available2017-06-09T16:51:45Z
    date issued2017
    identifier issn1558-8424
    identifier otherams-75462.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217801
    description abstracthe contribution of urban surface expansion to regional warming based on meteorological observational station data may vary with significant uncertainty because of its spatial heterogeneity, which promotes a requirement for numerical model-based investigations. Satellite-based images from 1980 to 2016 with fine-resolution over three city clusters and displaying the urban surface expansion in China due to rapid economic development and anthropogenic activity were used to perform 37-year nested dynamical downscaling using the Weather Research and Forecasting model (WRF). The urban surface areas in Beijing expressed marked expansion in the last 37 years. The contribution of urban surface expansion to regional warming was approximately 22% of the overall warming in Beijing and was stronger in the plains areas of Beijing (42%). The contributions to land-use grids that changed from non-urban (in 1980) to urban (in 2016) (N2U) were much stronger than those to grids that were classified as urban in both time periods (U2U), which were closer to the values of urban areas (including N2U and U2U) because of the intense increase in urban surface areas. Urban-related warming expressed marked annual variation and was greater in the warm seasons and smaller in the cold seasons. The greater increase in surface air temperature (SAT) minimum and the weaker SAT maximum accounted for the decreased diurnal temperature range.
    publisherAmerican Meteorological Society
    titleContribution of Urban Surface Expansion to Regional Warming in Beijing, China
    typeJournal Paper
    journal volume056
    journal issue006
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-17-0019.1
    journal fristpage1551
    journal lastpage1559
    treeJournal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 006
    contenttypeFulltext
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