Half-hourly Eddy Covariance fluxes, gap-filled meteorological variables, precipitation and remotely sensed plant cover estimations from NAMORS between 2005 and 2020


This file contains the datasets used in an upcoming submission to JGR Biogeosciences by: 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 central Tibetan alpine steppe ecosystem. The manuscript contains all the details on how the data was generated and processed and the corresponding code will be published in the supplementary material. The data should not be used until the manuscript has been peer-reviewed and is finally published by the journal.


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. National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271274. CSTR: 18406.11.Meteoro.tpdc.271274. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Nieberding, F., Wille, C., Fratini, G., Asmussen, M. O., Wang, Y., Ma, Y., and Sachs, T. (2020). A Long Term (2005–2019) Eddy Covariance Data Set of CO2 and H2O Fluxes from the Tibetan Alpine Steppe, Earth Syst. Sci. Data, doi:10.5194/essd-2020-63.( View Details | Bibtex)

2. 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)

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 | Bibtex)

4. 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

National Natural Science Foundation of China (No:91837208)

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

The Second Tibetan Plateau Scientific Expedition and Research (STEP) program (No:2019QZKK0103)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 91.03 West: 90.89
South: 30.68 North: 30.80
Details
  • Temporal resolution: Hourly
  • Spatial resolution: <= 1 m
  • File size: 173 MB
  • Views: 174
  • Downloads: 43
  • Access: Open Access
  • Temporal coverage: 2019-09-07 11:30
  • Updated time: 2021-05-06
Contacts
: Felix Nieberding   MA Yaoming   Cristian Wille   LEHNERT Lukas   WANG Yuyang   MAURISCHAT Philipp   MA Weiqiang   Torsten Sachs  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

Export metadata