Reconstructed streamflow data of the Gunt River River in the upper reaches of the Amu River (1495-2018)

Reconstructed streamflow data of the Gunt River River in the upper reaches of the Amu River (1495-2018)


This data is the annual average runoff data from 1495 to 2018 of Khorog Hydrometric Station of gunte River, a tributary of Amu Darya River, reconstructed based on tree ring data. The data obtained from the tree ring hydrology research carried out by the Urumqi desert Meteorology Institute of the China Meteorological Administration and the Institute of water issues, hydropower and ecology of the National Academy of Sciences of Tajikistan can be used for scientific research such as water resources assessment and water conservancy projects in mountainous areas of Central Asia.


File naming and required software

File name: data is stored in table XLS format, file name
“Reconstructed streamflow data of the Gunt River River in the upper reaches of the Amu River (1495-2018)”,
It can be opened and read by office, WPS and other office software.
Data in each column from left to right are:
year
Average runoff (m3/s)


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

Shang, H. (2022). Reconstructed streamflow data of the Gunt River River in the upper reaches of the Amu River (1495-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272598. CSTR: 18406.11.Terre.tpdc.272598. (Download the reference: RIS | 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

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


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Keywords
Geographic coverage
East: 73.00 West: 71.00
South: 37.00 North: 38.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 0.02 MB
  • Views: 2251
  • Downloads: 195
  • Access: Open Access
  • Temporal coverage: 1495-01-01 To 2018-12-31
  • Updated time: 2022-06-14
Contacts
: SHANG Huaming  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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