Zhonglei, Qiyuting, Mayaoming. 2024: Research progress on satellite remote sensing applications of the key characteristic parameters in the land-atmosphere interaction process over the Tibetan Plateau. Acta Meteorologica Sinica. DOI: 10.11676/qxxb2025.20240114
Citation: Zhonglei, Qiyuting, Mayaoming. 2024: Research progress on satellite remote sensing applications of the key characteristic parameters in the land-atmosphere interaction process over the Tibetan Plateau. Acta Meteorologica Sinica. DOI: 10.11676/qxxb2025.20240114

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

  • 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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