Analysis of land-atmosphere interactions and their influence on the energy and water cycle over the Tibetan Plateau

The Tibetan Plateau (TP) has been the focus of numerous studies examining the energy and water cycle variations, but there is still a lack of long-term, quantitative precise assessments of evapotranspiration. This research first provided two sets of long-term comprehensive observational datasets, and an advanced monitoring technique to measure soil moisture, which can improve the estimation accuracy of evapotranspiration. Subsequently, using microwave data, the Surface Energy Balance System model and Machine Learning methods, it calculated a complete set of long-term evapotranspiration data. At the same time, based on reasonable assumptions, it also estimated the total evaporation from plateau lakes. These findings contribute significantly to the understanding of the relationship between the Asian monsoon, the TP’s physical characteristics, and its atmosphere, thereby improving predictions of water resource variability in the TP. The study’s innovative methodologies and synthesis of diverse data sources provide critical information for informed and sustainable water management strategies in the region.

青藏高原（Tibetan Plateau, TP）长期以来都是诸多探讨能量与水循环变化的研究热点，但目前仍缺乏针对蒸散发的长期、定量精准评估。本研究首先构建了两套长期综合观测数据集，并开发了一套用于土壤湿度测量的先进监测技术，可有效提升蒸散发的估算精度。随后，本研究结合微波数据、地表能量平衡系统（Surface Energy Balance System）模型与机器学习方法，计算得到一套完整的长期蒸散发数据集。与此同时，基于合理假设，本研究还估算了高原湖泊的总蒸发量。上述研究成果显著增进了学界对亚洲季风、青藏高原物理特性及其大气间相互关系的认知，进而提升了该区域水资源变化的预测水平。本研究的创新性方法与多源数据融合手段，为该区域制定科学合理且可持续的水资源管理策略提供了关键支撑信息。