Chinese FLUX Observation and Research Network (ChinaFLUX) Thematic Observation Datasets Zone II Versions ZH3 Vol 6 (1) 2021
An observation dataset of carbon and water fluxes over alpine meadow in Damxung (2004–2010)
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: 2020 - 04 - 29
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: 2021 - 03 - 31
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Abstract & Keywords
Abstract: The unique geographical environment of Tibetan Plateau provides a good experimental platform for studding the carbon and water cycle in high altitudes and alpine ecosystems. However, due to harsh biophysical conditions, there is a lack of studies on carbon and water fluxes in the hinterland of the Tibetan Plateau, and it is urgent to carry out long-term monitoring and data compilation. This dataset is the collection of ecosystem carbon and water fluxes from 2004 to 2010 in Damxung Alpine Meadow Research Station (i.e. Damxung Station), Chinese Academy of Sciences, located in the hinterland of Tibetan Plateau. We compiled a standardized dataset of ecosystem carbon water fluxes and key meteorological elements based on the data processing system of ChinaFLUX. This dataset is of great significance to accurately evaluate the roles of carbon and water fluxes of alpine meadow ecosystem in the Tibetan Plateau for regional and global carbon and water cycle.
Keywords: eddy covariance; Tibetan Plateau; alpine meadow; carbon water flux; meteorological observation
Dataset Profile
TitleAn observation dataset of carbon and water fluxes over alpine meadow in Damxung (2004–2010)
Data corresponding authorSHI Peili (
Data authorsSHI Peili, HE Yongtao
Time range2004–2010
Geographical scope91°05′E, 30°51′N, 4333 m a.s.l
Data volume35.9 MB
Data format*.xlsx
Data service system<>
Source of fundingNational Natural Science Foundation of China (31870406); National Key R&D Program of China (2016YFC0502001); China Postdoctoral Science Foundation (2019M660778).
Dataset compositionThe dataset consists of 8 subsets in total, including fluxes data and meteorological data on half-hour, daily, monthly and yearly scales. The fluxes data comprise net exchange change of CO2 (NEE), gross exchange change of CO2 (GEE), ecosystem respiration (RE), latent heat flux (LE), and sensible heat flux (Hs). The meteorological data are composed of air temperature, air relative humidity, water vapor pressure, wind speed, wind direction, atmospheric pressure, solar radiation, photosynthetically active radiation, net radiation, soil temperature, soil volume water content, precipitation and other meteorological elements.
Article and author information
Chai Xi
He Yongtao
Shi Peili
Zhang Xianzhou
Niu Ben
Zhang Leiming
Chen Zhi
Publication records
Released: July 1, 2020 ( VersionsZH2
Published: March 31, 2021 ( VersionsZH3