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...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.展开更多
基金supported in part by the ESA MOST Dragon 5 Program[project:Monitoring and Modelling Climate Change in Water,Energy and Carbon Cycles in the Pan-Third Pole Environment[CLIMATE-Pan-TPE]]the National Natural Science Foundation of China[grant no.U2242208]the Second Tibetan Plateau Scientific Expedition and Research(STEP)program[grant no.2019QZKK0103].
文摘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.
