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Title: Interdecadal Climate Variations Controlling the Water Level of Lake Qinghai over the Tibetan Plateau

Abstract

Using observed and reanalysis research, the pronounced interdecadal variations of Lake Qinghai (LQH) water levels and associated climate factors were diagnosed. From the 1960s to the early 2000s, the water level of LQH in the Tibetan Plateau has experienced a continual decline of 3 m but has since increased considerably. A water budget assessment of the LQH watershed implied that the water vapor flux divergence ∇•Q is the dominant atmospheric process modulating precipitation and subsequently the lake volume change ΔV. The marked interdecadal variability in ΔV and ∇•Q and was found to be related to the North Pacific (NP) and Pacific decadal oscillation (PDO) modes during the cold season (November–March). Through empirical orthogonal function (EOF) and regression analyses, the water vapor sink over the LQH watershed also responds critically to the summer Eurasian wave train modulated by the low-frequency variability associated with the cold season NP and PDO modes. Removal of these variability modes (NP, PDO, and the Eurasian wave train) led to a residual uptrend in the hydrological variables of ΔV, ∇•Q and precipitation, corresponding to the net water level increase. Attribution analysis using the Coupled Model Intercomparison Project phase 5 (CMIP5) single-forcing experiments shows that the simulations drivenmore » by greenhouse gas forcing produced a significant increase in the LQH precipitation, while anthropogenic aerosols generated a minor wetting trend as well.« less

Authors:
 [1];  [2];  [2]
  1. Chinese Academy of Sciences (CAS), Lanzhou (China). Northwest Institute of Eco-Environment and Resources (NIEER); Utah State Univ., Logan, UT (United States)
  2. Utah State Univ., Logan, UT (United States)
Publication Date:
Research Org.:
Univ. of California, Davis, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Natural Science Foundation of China (NNSFC)
OSTI Identifier:
1541857
Grant/Contract Number:  
SC0016605
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Hydrometeorology
Additional Journal Information:
Journal Volume: 18; Journal Issue: 11; Journal ID: ISSN 1525-755X
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Atmosphere; Teleconnections; Hydrology; Interdecadal variability

Citation Formats

Zhao, Lin, Simon Wang, S. -Y., and Meyer, Jonathan. Interdecadal Climate Variations Controlling the Water Level of Lake Qinghai over the Tibetan Plateau. United States: N. p., 2017. Web. doi:10.1175/jhm-d-17-0071.1.
Zhao, Lin, Simon Wang, S. -Y., & Meyer, Jonathan. Interdecadal Climate Variations Controlling the Water Level of Lake Qinghai over the Tibetan Plateau. United States. doi:10.1175/jhm-d-17-0071.1.
Zhao, Lin, Simon Wang, S. -Y., and Meyer, Jonathan. Wed . "Interdecadal Climate Variations Controlling the Water Level of Lake Qinghai over the Tibetan Plateau". United States. doi:10.1175/jhm-d-17-0071.1. https://www.osti.gov/servlets/purl/1541857.
@article{osti_1541857,
title = {Interdecadal Climate Variations Controlling the Water Level of Lake Qinghai over the Tibetan Plateau},
author = {Zhao, Lin and Simon Wang, S. -Y. and Meyer, Jonathan},
abstractNote = {Using observed and reanalysis research, the pronounced interdecadal variations of Lake Qinghai (LQH) water levels and associated climate factors were diagnosed. From the 1960s to the early 2000s, the water level of LQH in the Tibetan Plateau has experienced a continual decline of 3 m but has since increased considerably. A water budget assessment of the LQH watershed implied that the water vapor flux divergence ∇•Q is the dominant atmospheric process modulating precipitation and subsequently the lake volume change ΔV. The marked interdecadal variability in ΔV and ∇•Q and was found to be related to the North Pacific (NP) and Pacific decadal oscillation (PDO) modes during the cold season (November–March). Through empirical orthogonal function (EOF) and regression analyses, the water vapor sink over the LQH watershed also responds critically to the summer Eurasian wave train modulated by the low-frequency variability associated with the cold season NP and PDO modes. Removal of these variability modes (NP, PDO, and the Eurasian wave train) led to a residual uptrend in the hydrological variables of ΔV, ∇•Q and precipitation, corresponding to the net water level increase. Attribution analysis using the Coupled Model Intercomparison Project phase 5 (CMIP5) single-forcing experiments shows that the simulations driven by greenhouse gas forcing produced a significant increase in the LQH precipitation, while anthropogenic aerosols generated a minor wetting trend as well.},
doi = {10.1175/jhm-d-17-0071.1},
journal = {Journal of Hydrometeorology},
issn = {1525-755X},
number = 11,
volume = 18,
place = {United States},
year = {2017},
month = {11}
}

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