Chinese FLUX Observation and Research Network (ChinaFLUX) Thematic Observation Datasets Zone II Versions ZH3 Vol 6 (1) 2021
A dataset of carbon and water fluxes over Xilinhot temperate steppe in Inner Mongolia (2003 – 2010)
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Abstract & Keywords
Abstract: Eddy covariance technology makes it possible to accurately measure water and CO2 fluxes on the ecosystem scale. The data measured by eddy covariance technology are important to the development and verification of carbon-water cycle models and to accurate estimation of carbon sources/sinks and water balance of ecosystem. This dataset is the fluxes data from Inner Mongolia Station (located in a 37-year ungrazed grassland of Inner Mongolia grassland ecosystem Positioning Research Station, Chinese Academy of Sciences). This dataset is analyzed in strict compliance with the ChinaFLUX standardized ecosystem carbon water flux and key meteorological data quality control and specification system. It can provide important data for analyzing the mechanism of typical steppe in China and its response to global change.
Keywords: typical grassland; eddy covariance technology; water and heat flux; carbon flux; meteorological factor
Dataset profile
TitleA dataset of carbon and water fluxes over Xilinhot temperate steppe in Inner Mongolia (2003 – 2010)
Data corresponding authorWang Yanfen (
Data producerStationObserverCurrent DirectorAffiliation
Inner MongoliaHao Yanbin,Wang YanfenWANG YanfenUniversity of Chinese Academy of Sciences
Time range2003–2010
LocationXilinhot temperate steppe in Inner Mongolia (long-term ungrazed grassland)
Data amount51.5 MB
Data format*.xlsx
Data service system<>
Sources of fundingNational key research and development program (2016YFC0501801); the CAS Strategic Priority Research Programmer (A) (XDA20050103, XDA19030202).
Dataset compositionThe dataset is divided into four carbon/water flux and meteorological data product tables: half-hour, daily, monthly and annual scales, in which the half-hour carbon/water flux dataset contains two types of missing data before and after interpolation. The indicators of the dataset include ecosystem CO2 flux, latent heat flux, sensible heat flux, air temperature, soil temperature, soil moisture, precipitation, total radiation and photosynthetically active radiation.
Article and author information
Hao Yanbin
Zhang Leiming
Sun Xiaomin
Yu Guirui
Chen Zhi
Wang Yanfen
Publication records
Released: Nov. 26, 2020 ( VersionsZH2
Published: March 31, 2021 ( VersionsZH3