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首页> 外文期刊>Hydrology and Earth System Sciences Discussions >The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products
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The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products

机译:藏高平原土壤水分和土壤温度(TIBET-OBS)对粗糙分辨率卫星和模型产品的不确定性

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摘要

A plateau scale soil moisture and soil temperature observatory is established on the Tibetan Plateau for quantifying uncertainties in coarse resolution satellite and model products of soil moisture and soil temperature. The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) consists of three regional scale in-situ reference networks, including the Naqu network in a cold semiarid climate, the Maqu network in a cold humid climate and the Ngari network in a cold arid climate. These networks provide a representative coverage of the different climate and land surface hydrometeorological conditions on the Tibetan plateau. In this paper the details of the Tibet-Obs are reported. To demonstrate the uniqueness of the Tibet-Obs in quantifying and explaining soil moisture uncertainties in existing coarse satellite products, an analysis is carried out to assess the reliability of several satellite products for the Naqu and the Maqu network areas. It is concluded that global coarse resolution soil moisture products are useful but exhibit till now unreported uncertainties in cold and semiarid regions – use of them would be critically enhanced if uncertainties can be quantified and reduced using in-situ measurements.
机译:一个高原比例尺土壤水分和土壤温度天文台于土壤湿度和土壤温度的粗分辨率卫星和型号的产品量​​化不确定性青藏高原建立。高原比例尺土壤水分和土壤温度(西藏-OBS)的青藏高原天文台由三个区域尺度的原位参考网络,包括在寒冷半干旱气候拿去网络,玛曲网络在寒冷潮湿的气候和阿里网络在寒冷干燥的气候。这些网络提供的青藏高原不同气候和陆地表面的水文气象条件有代表性的覆盖范围。本文报道西藏-OBS的细节。为了证明在定量和在现有的粗卫星产品说明土壤湿度不确定性的藏-OBS的唯一性,分析进行评估的几个卫星产品为那曲和玛曲网络区域的可靠性。结论:全球粗分辨率土壤水分的产品是有用的,但直到展览在寒冷和半干旱地区,现在未报告的不确定性 - 利用它们将被严格增强,如果不确定性,可量化和使用原位测量减少。

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