Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2705-2020
https://doi.org/10.5194/essd-12-2705-2020
Data description paper
 | 
11 Nov 2020
Data description paper |  | 11 Nov 2020

A long-term (2005–2019) eddy covariance data set of CO2 and H2O fluxes from the Tibetan alpine steppe

Felix Nieberding, Christian Wille, Gerardo Fratini, Magnus O. Asmussen, Yuyang Wang, Yaoming Ma, and Torsten Sachs

Data sets

A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019) Felix Nieberding, Yaoming Ma, Christian Wille, Gerardo Fratini, Magnus Ole Asmussen, Yuyang Wang, Weiqiang Ma, and Torsten Sachs https://doi.org/10.5281/zenodo.3733202

A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019) Felix Nieberding, Yaoming Ma, Christian Wille, Gerardo Fratini, Magnus Ole Asmussen, Yuyang Wang, Weiqiang Ma, and Torsten Sachs https://doi.org/10.11888/Meteoro.tpdc.270333

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Short summary
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 and 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 and potential flux drivers and allows for comparisons with other data sets.
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