The Connection Between the Precipitation and Water Vapor Transport over Qinghai-Tibetan Plateau in Summer Based on the Multiple Datasets

  • XIE Xinru ,
  • YOU Qinglong ,
  • BAO Yuntao ,
  • MENG Xianhong
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  • Key Laboratory of Meteorological Disaster, Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD); Nanjing University of Information Science and Technology(NUIST), Nanjing 210044, Jiangsu, China;Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China

Received date: 2017-03-24

  Online published: 2018-02-28

Abstract

In this study, the monthly precipitation data set at 113 stations during 1979-2014 over the Qinghai-Tibetan Plateau (QTP) provided by the National Meteorological Information Center, had been compared with 4 gridded precipitation data sets (APHRO, CMAP, GPCP, GPCC) and 8 reanalysis data sets (NCEP1, NCEP2, MERRA, ERA_Interim, ERA20c, 20CRv2, JRA55, CFSR).Compared with the observation, it was found that the AHPRO and GPCP can capture the spatial and temporal patterns of the summer precipitation over the QTP during 1979-2007 and 1979-2014, respectively.For the climatology of water vapor, the southern boundary is the main moisture source over the QTP in summer with the dominant channel in the lower layer.Meanwhile, both the western and northern boundaries are also the moisture input over the QTP, with the main channels in the middle layer and the lower layer, respectively.Furthermore, the water vapor output over the QTP is through the eastern boundary by means of its middle layer.Generally, QTP is a moisture sink in summer, and the moisture is convergent over it, to which moisture advection term makes the greatest contribution, while wind divergence term has a diverse effect.In addition, ERA_Interim and NCEP1 showed better ability to delineate these characteristic, however, MERRA was the worst.By comparing multiple datasets, it was shown that MERRA and ERA_Interim can better depict the water vapor transport condition over the local QTP and peripheral area, respectively.Exploring relationship between the precipitation variability over the southeastern QTP and the atmospheric circulation, we picked out the high and low value years according to precipitation index.By conducting the synthesis analysis on them, it was shown that the moisture from the western boundary was the most sensitive to climate change and the decrease of net income in dry years was greater than the increase of net income in wet years, and ERA_Interim and MERRA can represent the water vapor transport condition at different boundary and levels in dry years and wet years better, respectively.Conducting the synthesis analysis on the integrated water vapor transport, it was revealed that there is a zonally orientated anticyclone anomaly across the Indian subcontinent and the Bay of Bengal, and the strong westwards water vapor transport at its northern edge attributes to the excessive precipitation over the southeastern QTP.

Cite this article

XIE Xinru , YOU Qinglong , BAO Yuntao , MENG Xianhong . The Connection Between the Precipitation and Water Vapor Transport over Qinghai-Tibetan Plateau in Summer Based on the Multiple Datasets[J]. Plateau Meteorology, 2018 , 37(1) : 78 -92 . DOI: 10.7522/j.issn.1000-0534.2017.00030

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