Eddy Covariance Data for an Alpine Marshland in Shenzha

Eddy Covariance Data for an Alpine Marshland in Shenzha


(1) This data set is the carbon flux data set of Shenzha alpine wetland from 2016 to 2019, including air temperature, soil temperature, precipitation, ecosystem productivity and other parameters. (2) The data set is based on the field measured data of vorticity, and adopts the internationally recognized standard processing method of vorticity related data. The basic process includes: outlier elimination coordinate rotation WPL correction storage item calculation precipitation synchronization data elimination threshold elimination outlier elimination U * correction missing data interpolation flux decomposition and statistics. This data set also contains the model simulation data calibrated based on the vorticity correlation data set. (3) the data set has been under data quality control, and the data missing rate is 37.3%, and the missing data has been supplemented by interpolation. (4) The data set has scientific value for understanding carbon sink function of alpine wetland, and can also be used for correction and verification of mechanism model.


File naming and required software

The file is an excel form with full names of all parameters.


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

Da, W. (2020). Eddy Covariance Data for an Alpine Marshland in Shenzha. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270808. CSTR: 18406.11.Meteoro.tpdc.270808. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Yahui Qi, Da Wei *, Hui Zhao, Xiaodan Wang *. Carbon sink of a very high marshland on the Tibetan Plateau. Under Review.( 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

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

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.


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: 88.41 West: 88.41
South: 30.57 North: 30.57
Details
  • Temporal resolution: Daily
  • Spatial resolution: -
  • File size: 0.1 MB
  • Views: 6079
  • Downloads: 189
  • Access: Requestable
  • Temporal coverage: 2016-08-18 To 2019-09-17
  • Updated time: 2021-04-20
Contacts
: Da Wei  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata