Understanding precipitation recycling over the Tibetan Plateau using tracer analysis with WRF
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ISSN: 0930-7575
E-ISSN: 1432-0894
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Springer
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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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Gao, Y., Chen, F., Miguez-Macho, G. et al. Understanding precipitation recycling over the Tibetan Plateau using tracer analysis with WRF. Clim Dyn 55, 2921–2937 (2020). https://doi.org/10.1007/s00382-020-05426-9
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https://doi.org/10.1007/s00382-020-05426-9Sponsors
This work is jointly supported by the Strategic Priority Research Program of Chinese Academy of Sciences (XDA2006010202), by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (2019QZKK010314), by the National Natural Science Foundation of China (91537105 and 91537211), and by the NCAR Water System Program. Support of the Fudan University-Tibet University Joint Laboratory for Biodiversity and Global Change is appreciated. We thank the ECMWF for the free access of the ERA-Interim Reanalysis dataset. The work was carried out at the National Supercomputer Center in Tianjin
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© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
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