This file contains the datasets used in a manuscript published in JGR Biogeosciences (Nieberding, F., Wille, C., Ma, Y., Wang, Y., Maurischat, P., Lehnert, L., and Sachs, T.: Winter daytime warming and shift in summer monsoon increase plant cover and net CO2 uptake in a central Tibetan alpine steppe ecosystem, Journal of Geophysical Research: Biogeosciences, 126, e2021JG006441, doi:10.1029/2021JG006441, 2021.). The manuscript contains all the details on how the data was generated and processed and the corresponding code was published in the supplementary material.

File naming and required software

The file "df_EP.csv" contains the processed half-hourly EddyPro full_output (https://www.licor.com/env/support/EddyPro/topics/output-files-full-output.html) and biomet data between 2005 and 2019.
The file "df_meteo_gf.csv" contains half hourly meteorological variables from NAMORS between 2005 and 2019, which have been gap filled using annual linear regression with the same variables from different measurement heigths.
The file "df_precipitation_NamCo_2005-2019.csv" contains daily precipitation measurements from NAMORS between 2005 and 2019.
The file" variable_description.csv" contains the variable descriptions and physical units for the above mentioned datasets.
The file "subset_plantcover.nc" contains an array of annual plant cover estimates applying the pre-trained support vector machine regression (SVM) models published in Lehnert et al. (2015) to to multispectral satellite data acquired by Landsat 5, 7, and 8 at 30 m spatial resolution between 2005 and 2020.

Data Citations Data citation guideline What's data citation?

Cite as:

Felix, N., Ma, Y., Cristian, W., Lehnert, L., Wang, Y., Maurischat, P., Ma, W., Torsten, S. (2021). Half-hourly Eddy Covariance fluxes, gap-filled meteorological variables, precipitation and remotely sensed plant cover estimations from NAMORS between 2005 and 2020. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271274. CSTR: 18406.11.Meteoro.tpdc.271274. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Nieberding, F., Wille, C., Ma, Y., Wang, Y., Maurischat, P., Lehnert, L., & Sachs, T. (2021). Winter daytime warming and shift in summer monsoon increase plant cover and net CO2 uptake in a central Tibetan alpine steppe ecosystem. Journal of Geophysical Research: Biogeosciences, 126, e2021JG006441, doi:10.1029/2021JG006441.( View Details | Bibtex)

2. 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)

3. Lehnert, L. W., Meyer, H., Wang, Y., Miehe, G., Thies, B., Reudenbach, C., and Bendix, J. (2015). Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach, Remote Sensing of Environment, 164, 197–207, doi:10.1016/j.rse.2015.04.020.( View Details | Bibtex)

4. 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)

5. 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)

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

Support Program

The Strategic Priority Research Program (A) of the Chinese Academy of Sciences (No:XDA20060101)

None (No:2019QZKK0103)

None (No:91837208)

Copyright & License

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