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        <title>Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau</title>
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        <namePart type="given">Binbin</namePart>
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    <abstract>Our reference lake evaporation dataset for high-elevation Tibetan lakes reduces evaporation-induced bias in water budget analysis.</abstract>
    <identifier type="citekey">Wang-2020-Quantifying</identifier>
    <identifier type="doi">10.1126/sciadv.aay8558</identifier>
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%0 Journal Article
%T Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau
%A Wang, Binbin
%A Ma, Yaoming
%A Su, Zhongbo
%A Wang, Yan
%A Ma, Weiqiang
%J Science Advances, Volume 6, Issue 26
%D 2020
%V 6
%N 26
%I American Association for the Advancement of Science (AAAS)
%F Wang-2020-Quantifying
%X Our reference lake evaporation dataset for high-elevation Tibetan lakes reduces evaporation-induced bias in water budget analysis.
%R 10.1126/sciadv.aay8558
%U https://gwf-uwaterloo.github.io/gwf-publications/G20-66001
%U https://doi.org/10.1126/sciadv.aay8558

Markdown (Informal)

[Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau](https://gwf-uwaterloo.github.io/gwf-publications/G20-66001) (Wang et al., GWF 2020)

• Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau (Wang et al., GWF 2020)

ACL

• Binbin Wang, Yaoming Ma, Zhongbo Su, Yan Wang, and Weiqiang Ma. 2020. Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau. Science Advances, Volume 6, Issue 26, 6(26).