青藏高原地气相互作用过程关键特征参数的卫星遥感应用研究进展

Research progress on satellite remote sensing applications of the key characteristic parameters in the land-atmosphere interaction process over the Tibetan Plateau

  • 摘要: 青藏高原是世界上平均海拔最高、面积最大的高原,被称为“亚洲水塔”和“世界第三极”,青藏高原地气相互作用过程对高原及周边地区的天气气候具有重要影响。然而青藏高原观测站点分布相对稀疏且不均匀,其地气相互作用过程特征的定量获取面临极大挑战。而卫星遥感能够大面积获取时空连续的地气相互作用过程关键变量,但受限于青藏高原复杂地形地貌和云层的影响,利用定量遥感研究陆地-大气能量和水交换的时空变化特征仍存在着较大不确定性。随着卫星遥感定量反演与参数化方案的发展,青藏高原地气相互作用的卫星遥感应用研究取得了可喜进展,本文系统地总结了过去50年来地气相互作用过程关键特征参数的卫星遥感研究进展,分别从建立地气相互作用过程特征的遥感反演参数化方案和估算算法体系、实现地表特征参数和水热通量数据的精细化、发展全天空计算方案和探究其长期变化趋势等方面进行了归纳梳理。同时还从物理模型优化、多源数据融合以及卫星遥感和数值模式结合等几个方面对未来研究方向进行了展望。

     

    Abstract: The Tibetan Plateau (TP), known as the ‘Third Pole of the World’ and ‘Asian Water Tower’, is the highest and largest plateau in the world. The land-atmosphere interaction process on the TP has a significant impact on the weather and climate of the plateau and surrounding areas. However, the distribution of observation stations on the TP is relatively sparse and uneven. The quantitative acquisition of the characteristics of the land-atmosphere interaction process?suffers from huge challenges. Satellite remote sensing can obtain spatiotemporal continuous characteristics of the land-atmosphere interaction process on a large scale. Nevertheless, due to the complex terrain and frequent?cloud cover of the TP, there are still significant uncertainties in using remote sensing to study the spatiotemporal changes in land-atmosphere energy and water exchange. With the development of quantitative retrieval and parameterization schemes in satellite remote sensing, the application research of satellite remote sensing on the land-atmosphere interaction process in the TP has made gratifying progress.?The research progress of the key characteristic parameters in the land-atmosphere interaction process based on the satellite remote sensing?on the TP over the past 50 years?was systematically summarized?in this article, including the establishment of remote sensing retrieval algorithm systems, the acquisition of refined energy and water exchange?flux data, the development of all-weather?characteristic calculation schemes, and the exploration of?the long-term trends. At the same time, future research directions were also discussed from several aspects, including physical model optimization, multi-source data fusion, and the combination of satellite remote sensing and numerical models.

     

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