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首页> 外文期刊>Theoretical and applied climatology >An analysis on the influence of spatial scales on sensible heat fluxes in the north Tibetan Plateau based on Eddy covariance and large aperture scintillometer data
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An analysis on the influence of spatial scales on sensible heat fluxes in the north Tibetan Plateau based on Eddy covariance and large aperture scintillometer data

机译:基于涡度协方差和大口径闪烁仪数据的青藏高原北部空间尺度对感热通量的影响分析

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摘要

The influence of spatial scales on surface fluxes is an interesting but not fully investigated question. This paper presents an analysis on the influence of spatial scales on surface fluxes in the north Tibetan Plateau based on eddy covariance (EC) and large aperture scintillometer (LAS) data at site Nagqu/BJ, combined with the land surface temperature (LST) and normalized difference vegetation index (NDVI) of moderate-resolution imaging spectroradiometer (MODIS). The analysis shows that sensible heat fluxes calculated with LAS data (H_LAS) agree reasonably well with sensible heat fluxes calculated with EC data (H_EC) in the rain and dry seasons. The difference in their footprints due to the wind direction is an important reason for the differences in H_EC and H_LAS. The H_LAS are statistically more consistent with H_EC when their footprints overlap than when their footprints do not. A detailed analysis on H_EC and H_LAS changes with net radiation and wind direction in rain and dry season indicates that the spatial heterogeneity in net radiation created by clouds contributes greatly to the differences in H_EC and H_LAS in short-term variations. A significant relationship between the difference in footprint-weighted averages of LST and difference in H_EC and H_LAS suggests that the spatial heterogeneity in LST at two spatial scales is a reason for the differences in H_EC and H_LAS and that LST has a positive correlation with the differences in H_EC and H_LAS. A significant relationship between the footprint-weighted averages of NDVI and the ratio of sensible heat fluxes at two spatial scales to net radiation (H/Rn) in the rain season supports the analysis that the spatial heterogeneity in canopy at two spatial scales is another reason for differences in H_EC and H_LAS and that canopy has a negative correlation with (H/Rn). An analysis on the influence of the difference in aerodynamic roughness lengths at two spatial scales on sensible heat fluxes shows that the influence is greater in the dry season and smaller in the rain season because the ratio of z(0m)_(LAS) to z(0m)_(EC) is big in the dry season and is close to 1.0 in the rain season. This study on spatial scales on surface fluxes in the Tibetan Plateau will be helpful in analyzing and understanding its influence on climate.
机译:空间尺度对表面通量的影响是一个有趣但尚未充分研究的问题。本文根据那曲/北京地区的涡度协方差(EC)和大口径闪烁仪(LAS)数据,结合地表温度(LST)和地表温度,对青藏高原北部空间尺度对表面通量的影响进行了分析。中分辨率成像光谱仪(MODIS)的归一化差异植被指数(NDVI)。分析表明,在雨季和旱季,通过LAS数据(H_LAS)计算的显热通量与通过EC数据(H_EC)计算的显热通量相当吻合。由于风向造成的足迹差异是造成H_EC和H_LAS差异的重要原因。从统计上讲,当其脚印重叠时,H_LAS与H_EC更加吻合。对雨季和旱季H_EC和H_LAS随净辐射和风向变化的详细分析表明,由云产生的净辐射的空间异质性在短期变化中极大地影响了H_EC和H_LAS的差异。 LST的足迹加权平均值差异与H_EC和H_LAS差异之间的显着关系表明,LST在两个空间尺度上的空间异质性是H_EC和H_LAS差异的原因,并且LST与差异呈正相关在H_EC和H_LAS中。 NDVI的足迹加权平均值与两个空间尺度上的显热通量与净辐射(H / Rn)的比率之间的显着关系支持了以下分析:两个空间尺度上的冠层空间异质性是另一个原因对于H_EC和H_LAS的差异,该冠层与(H / Rn)呈负相关。对两个空间尺度上的空气动力学粗糙度长度差异的影响对显热通量的影响分析表明,由于z(0m)_(LAS)与z的比值,该影响在旱季更大,雨季较小。 (0m)_(EC)在干旱季节很大,在雨季接近1.0。对青藏高原地表通量的空间尺度进行研究,有助于分析和了解其对气候的影响。

著录项

  • 来源
    《Theoretical and applied climatology》 |2017年第4期|965-976|共12页
  • 作者单位

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China|CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Proc & Climate Change Cold & Arid Re, Lanzhou 730000, Gansu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

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