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An analysis of spatial representativeness of air temperature monitoring stations

机译:气温监测站的空间代表性分析

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摘要

Surface air temperature is an essential variable for monitoring the atmosphere, and it is generally acquired at meteorological stations that can provide information about only a small area within an r m radius (r-neighborhood) of the station, which is called the representable radius. In studies on a local scale, ground-based observations of surface air temperatures obtained from scattered stations are usually interpolated using a variety of methods without ascertaining their effectiveness. Thus, it is necessary to evaluate the spatial representativeness of ground-based observations of surface air temperature before conducting studies on a local scale. The present study used remote sensing data to estimate the spatial distribution of surface air temperature using the advection-energy balance for air temperature (ADEBAT) model. Two target stations in the study area were selected to conduct an analysis of spatial representativeness. The results showed that one station (AWS 7) had a representable radius of about 400 m with a possible error of less than 1 K, while the other station (AWS 16) had the radius of about 250 m. The representable radius was large when the heterogeneity of land cover around the station was small.
机译:地表空气温度是监测大气的基本变量,通常在气象站获取,它只能提供有关站的r m半径(r邻域)内的一小部分区域的信息,这称为可代表半径。在局部研究中,通常使用各种方法对从分散站获得的地面气温的地面观测值进行插值,而不能确定其有效性。因此,在进行局部研究之前,有必要评估地面对地面气温的观测的空间代表性。本研究使用遥感数据通过对流-能量平衡的空气温度(ADEBAT)模型估算地表空气温度的空间分布。在研究区域中选择了两个目标站点进行空间代表性分析。结果表明,一个站点(AWS 7)的可代表半径约为400 m,可能的误差小于1 K,而另一个站点(AWS 16)的半径约为250 m。当测站周围土地覆盖的异质性较小时,可表示半径较大。

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  • 来源
    《Theoretical and applied climatology》 |2018年第4期|857-865|共9页
  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;

    Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China;

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