Understanding precipitation recycling over the Tibetan Plateau using tracer analysis with WRF |
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Authors: | Gao Yanhong Chen Fei Miguez-Macho Gonzalo Li Xia |
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Affiliation: | 1.Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai, 200438, China ;2.National Center for Atmospheric Research, Boulder, CO, 80301, USA ;3.Non-Linear Physics Group, Universidade de Santiago de Compostela, Santiago de Compostela, 15705, Galicia, Spain ;4.Key Laboratory of Land-surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco- environment and Resources, Chinese Academy of Sciences, Lanzhou, China ; |
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Abstract: | The precipitation recycling (PR) ratio is an important indicator that quantifies the land-atmosphere interaction strength in the Earth system’s water cycle. To better understand how the heterogeneous land surface in the Tibetan Plateau (TP) contributes to precipitation, we used the water-vapor tracer (WVT) method coupled with the Weather Research and Forecasting (WRF) regional climate model. The goals were to quantify the PR ratio, in terms of annual mean, seasonal variability and diurnal cycle, and to address the relationships of the PR ratio with lake treatments and precipitation amount. Simulations showed that the PR ratio increases from 0.1 in winter to 0.4 in summer when averaged over the TP with the maxima centered at the headwaters of three major rivers (Yangtze, Yellow and Mekong). For the central TP, the highest PR ratio rose to over 0.8 in August, indicating that most of the precipitation was recycled via local evapotranspiration in summer. The larger daily mean and standard deviation of the PR ratio in summer suggested a stronger effect of land-atmosphere interactions on precipitation in summer than in winter. Despite the relatively small spatial extent of inland lakes, the treatment of lakes in WRF significantly impacted the calculation of the PR ratio over the TP, and correcting lake temperature substantially improved both precipitation and PR ratio simulations. There was no clear relationship between PR ratio and precipitation amount; however, a significant positive correlation between PR and convective precipitation was revealed. This study is beneficial for the understanding of land-atmosphere interaction over high mountain regions. |
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