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Preprints
https://doi.org/10.5194/essd-2020-63
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-63
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 17 Jun 2020

Submitted as: data description paper | 17 Jun 2020

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This preprint is currently under review for the journal ESSD.

A Long Term (2005–2019) Eddy Covariance Data Set of CO2 and H2O Fluxes from the Tibetan Alpine Steppe

Felix Nieberding1,2, Cristian Wille2, Gerardo Fratini3, Magnus O. Asmussen1, Yuyang Wang4,5,6, Yaoming Ma4,5,6, and Torsten Sachs2,1 Felix Nieberding et al.
  • 1Technische Universität Braunschweig, Germany
  • 2GFZ German Research Centre for Geosciences, Potsdam, Germany
  • 3LI-COR Biosciences Inc., Lincoln, Nebraska, USA
  • 4Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research,Chinese Academy of Sciences, Beijing, China
  • 5CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China
  • 6University of Chinese Academy of Sciences, Beijing, China

Abstract. The Tibetan alpine steppe ecosystem covers an area of roughly 800,000 km2, containing up to 3.3 % soil organic carbon in the uppermost 30 cm, summing up to 1.93 PgvC for the Tibet Autonomous Region only (472,037 km2). With temperatures rising two to three times faster than the global average, these carbon stocks are at risk of loss due to enhanced soil respiration. The remote location and the harsh environmental conditions on the Tibetan Plateau (TP) make it challenging to derive accurate data on ecosystem-atmosphere exchange of carbon dioxide (CO2) and water vapor (H2O). Here, we provide the first multi-year data set of CO2 and H2O fluxes from the central Tibetan alpine steppe ecosystem, measured in situ using the eddy covariance technique. The calculated fluxes were rigorously quality checked and carefully corrected for a drift in concentration measurements and gas analyzer self heating during cold conditions. A wind field analysis was conducted to identify influences of adjacent buildings on the turbulence regime and to exclude the disturbed fluxes from subsequent computations. The presented CO2 fluxes were additionally gap filled using a standardized approach. The very low net carbon uptake across the 15-year data set highlights the special vulnerability of the Tibetan alpine steppe ecosystem to become a source of CO2 due to global warming. The data is freely available (https://www.doi.org/10.5281/zenodo.3733203, Nieberding et al., 2020b) and may help to better understand the role of the Tibetan alpine steppe in the global carbon-climate feedback.

Felix Nieberding et al.

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A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019) F. Nieberding, Y. Ma, C. Wille, G. Fratini, M. O. Asmussen, Y. Wang, W. Ma, and T. Sachs https://doi.org/10.5281/zenodo.3733203

Felix Nieberding et al.

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Short summary
Here, we present the first long term eddy covariance CO2 and H2O flux measurements from the large but underrepresented alpine steppe ecosystem on the central Tibetan Plateau. We applied careful corrections, rigorous quality filtering and analyzed the turbulent flow regime to provide meaningful fluxes. This comprehensive data set allows potential users to put the gas flux dynamics into context with ecosystem properties, potential flux drivers and allows for comparison with other data sets.
Here, we present the first long term eddy covariance CO2 and H2O flux measurements from the...
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