A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019)

A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019)

The data set contains nearly 15 years of eddy covariance data from an alpine steppe ecosystem on the central Tibetan Plateau.The data was processed following standardized quality control methods to allow for comparability between the different years of our record and with other data sets. To ensure meaningful estimates of ecosystem atmosphere exchange, careful application of the following correction procedures and analyses was necessary: (1) Due to the remote location, continuous maintenance of the eddy covariance (EC) system was not always possible, so that cleaning and calibration of the sensors was performed irregularly. Furthermore, the high proportion of bare soil and high wind speeds led to accumulation of dirt in the measurement path of the infrared gas analyzer (IRGA). The installation of the sensor in such a challenging environment resulted in a considerable drift in CO2 and H2O gas density measurements. If not accounted for, this concentration bias may distort the estimation of the carbon uptake. We applied a modified drift correction procedure following Fratini et al. (2014) which, instead of a linear interpolation between calibration dates, uses the CO2 concentration measurements from the Mt. Waliguan atmospheric observatory as reference time series. (2) We applied rigorous quality filtering of the calculated fluxes to retain only fluxes which represent actual physical processes. (3) During the long measurement period, there were several buildings constructed in the near vicinity of the EC system. We investigated the influence of these obstacles on the turbulent flow regime to identify fluxes with uncertain land cover contribution and exclude them from subsequent computations. (4) We calculated the de-facto standard correction for instrument surface heating during cold conditions (hereafter called sensor self heating correction) following Burba et al. (2008) and a revision of the original method following Frank and Massman (2020). (5)Subsequently, we applied the traditional and widely used gap filling procedure following Reichstein et al. (2005) to provide a more complete overview of the annual net ecosystem CO2 exchange.(6) We estimated the flux uncertainty by calculating the random flux error (RE) following Finkelstein and Sims (2001) and by using the standard deviation of the fluxes used for gap filling(NEE_fsd) as a measure for spatial and temporal variation.

File naming and required software

File name: NAMORS_EC_2005-2019.csv. The file contains the EddyPro full_output (https://www.licor.com/env/support/EddyPro/topics/output-files-full-output.html) and biomet data, quality flags for quality filtering and fetch filtering, the CO2 fluxes corrected for sensor self heating effects, random uncertainty measures as propagated via WPL correction and the REddyProc gap filling results (https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWebOutput).
File name: NAMORS_EC_2005-2019_varnames_units.csv. The file contains the variable descriptions and physical units for the above mentioned dataset.
Version 2 with enhanced calculations and data processing after peer-review(https://essd.copernicus.org/preprints/essd-2020-63/#discussion). The file "NAMORS_EC_2005-2019_v2.txt" contains the EddyProfull_output (https://www.licor.com/env/support/EddyPro/topics/output-files-full-output.html)and biomet data, quality flags for quality filtering, the CO2fluxes corrected for sensor self heating effects and the REddyProcgap filling results(https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWebOutput).The file "NAMORS_EC_2005-2019_varnames_units_v2.txt" contains thevariable descriptions and physical units for the above mentioneddataset. The uploaded files are tab-delimited .txt files with"-9999" representing missing data.

Data Citations Data citation guideline What's data citation?
Cite as:

Felix, N., Ma, Y., Cristian, W., Gerardo, F., Magnus Ole Asmussen., Yuyang, W., Ma, W., Torsten, S. (2020). A long term half-hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270333. CSTR: 18406.11.Meteoro.tpdc.270333. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Nieberding, F., Wille, C., Fratini, G., Asmussen, M. O., Wang, Y., Ma, Y., & Sachs, T. (2020). A long-term (2005–2019) eddy covariance data set of CO2 and H2O fluxes from the Tibetan alpine steppe. Earth System Science Data. 12. 2705-2724. 10.5194/essd-12-2705-2020.( View Details | Bibtex)

2. Ma, Y.M., Kang, S.C., Zhu, L.P., Xu, B.Q., Tian, L.D., & Yao, T.D. (2008). Tibetan Observation and Research Platform- Atmosphere–land interaction over a heterogeneous landscape, Bulletin of the American Meteorological Society. 89, 1487–1492. doi:10.1175/2008BAMS2545.1.( View Details | Bibtex)

3. Ma, Y.M., Ma, W.Q., Zhong, L., Hu, Z., Li, M., Zhu, Z., et al. (2017). Monitoring and Modeling the Tibetan Plateau’s climate system and its impact on East Asia, Scientific Reports, 7, 44574, doi:10.1038/srep44574.( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Burba, G. G., McDermitt, D. K., Grelle, A., Anderson, D., and XU, L. (2008). Addressing the influence of instrument surface heat exchange on the measurements of CO 2 flux from open-path gas analyzers, Global Change Biology, 14, 1854–1876, https://doi.org/10.1111/j.1365-2486.2008.01606.x. (View Details )

2.Fratini, G., McDermitt, D. K., and Papale, D. (2004). Eddy-covariance flux errors due to biases in gas concentration measurements: origins, quantification and correction, Biogeosciences, 11, 1037–1051, https://doi.org/10.5194/bg-11-1037-2014. (View Details )

3.Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grunwald, T., Havrankova, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-m., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and valentini, R. (20050. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Global Change Biology, 11, 1424–1439, https://doi.org/10.1111/j.1365-2486.2005.001002.x. (View Details )

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Second Tibetan Plateau Scientific Expedition Program

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 90.96 West: 90.96
South: 30.77 North: 30.77
  • Temporal resolution: Hourly
  • Spatial resolution: 10m - 100m
  • File size: 250 MB
  • Views: 5463
  • Downloads: 500
  • Access: Open Access
  • Temporal coverage: 2005-12-09 To 2019-09-12
  • Temporal coverage: 2019-09-07 11:00 CST
  • Updated time: 2022-04-15
: Felix Nieberding   MA Yaoming   Cristian Wille   Gerardo Fratini   Magnus Ole Asmussen   Yuyang Wang*   MA Weiqiang*   Torsten Sachs  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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