Advances in Earth Science ›› 2020, Vol. 35 ›› Issue (3): 297-307. doi: 10.11867/j.issn.1001-8166.2020.027

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Simulation Study on Precipitation Recycling Ratio in the Tibetan Plateau from 1982 to 2005

Hongwen Zhang 1, 3( ),Yu Xu 1, 3,Yanhong Gao 2( )   

  1. 1.Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Ecology and Environmental Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    2.Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
    3.University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-01-03 Revised:2020-02-26 Online:2020-03-10 Published:2020-04-10
  • Contact: Yanhong Gao;
  • About author:Zhang Hongwen (1990-), male, Harbin City, Heilongjiang Province, Ph.D student. Research areas include numerical simulation of regional climate change. E-mail:
  • Supported by:
    the Second Tibetan Plateau Scientific Expedition and Research Program “Evolution and synergy of the westerly-monsoon”(2019QZKK010314);The Special Fund for Strategic Pilot Technology of Chinese Academy of Sciences “Interaction of westerly and monsoon and its impacts on water resources”(XDA2006010202)

Hongwen Zhang,Yu Xu,Yanhong Gao. Simulation Study on Precipitation Recycling Ratio in the Tibetan Plateau from 1982 to 2005[J]. Advances in Earth Science, 2020, 35(3): 297-307.

A dynamical downscaling approach using a regional climate model WRF (Weather Research and Forecasting Model Vision 3.5) driven by a global climate model CCSM4 (The Community Climate System Model Version 4) was adopted, and the downscaling results for the historical period (1982-2005) were evaluated for annual mean precipitation rate and evaporation rate over the Tibetan Plateau (TP). Furthermore, the spatial distribution and seasonal variation characteristics of Precipitation Recycling Ratio (PRR) simulated by CCSM4 and WRF were analyzed with the QIBT (Quasi-isentropic Back-trajectory method). The results show that the historical spatial distributions of annual mean precipitation rate and evaporation rate over the TP were found to better reproduce in the dynamical downscaling modeling compared to its coarse-resolution forcing. The PRR of the TP is 32% simulated by WRF, with a higher PRR in the wet season and a lower PRR in the dry season for the river basins in the northern TP, but the opposite seasonal variation was found for the river basins in the southern TP. In addition, the different land covers over the TP are more precisely represented in the WRF model, the PRR of grassland, shrubland and sparsely vegetation is higher than that of other land cover types.

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