Chinese FLUX Observation and Research Network (ChinaFLUX) Thematic Observation Datasets Zone I Versions ZH2
An observation dataset of carbon and water fluxes over alpine meadow in Damxung (2004 – 2010)
: 2020 - 04 - 29
: 2020 - 07 - 01
: 2020 - 07 - 01
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Abstract & Keywords
Abstract: The unique geographical environment of Tibetan Plateau provides a good experimental platform to study carbon and water cycle in high altitudes and alpine ecosystems. However, due to the limitations of biophysical conditions, the study of carbon and water fluxes in the hinterland of the Tibetan Plateau is still relatively lacking, 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. A standardized dataset of ecosystem carbon water fluxes and key meteorological elements were processed based on the data processing system of ChinaFLUX. This dataset has important significance for accurately evaluating 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
TitleA observation dataset of carbon and water fluxes from 2004 to 2010 in Damxung alpine meadow research station, Chinese Academy of Sciences
Data corresponding authorShi Peili (
Data authorsShi Peili, He Yongtao
Time range2004-2010
Geographical scope91°05′E, 30°51′N, 4333m a.s.l
Data volume35.9 MB
Data service system (not open yet)
Source of fundingChina Postdoctoral Science Foundation (2019M660778)
Dataset compositionThe dataset consists of 8 subsets in total. It comprises 30min, daily, monthly and annual carbon fluxes data and meteorological data, totaling 56 data documents. The fluxes data include 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 include 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
Xi Chai
He Yongtao
Shi Peili
Zhang Xianzhou
Ben Niu
Zhang Leiming
Publication records
Released: July 1, 2020 ( VersionsZH2