Absorptive impurity data of snow and ice in Altay (2016-2017) v1.0

Absorptive impurity data of snow and ice in Altay (2016-2017) v1.0


Soluble organic carbon (DOC) in snow and ice can effectively absorb the solar radiation in the ultraviolet and near ultraviolet band, which is also one of the important factors leading to the enhancement of snow and ice ablation. Through the continuous snow samples from November 2016 to April 2017 in Altay area, the data of DOC, TN and BC of snow in kuwei station in Altay area were obtained through the experimental analysis and test with the instrument. The time resolution was weeks and the ablation period was daily. 1. Unit: Doc and TN unit μ g-1 (PPM), BC unit ng g-1 (ppb), MAC unit M2 g-1


File naming and required software

File name: the data is stored in Excel format, and the file name is "dataset Lais in snow and ice. XLS", indicating the snow and ice absorbing impurities in Altay area.
Data reading mode: open reading with office, WPS and other software.


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

Shangguan, D. (2019). Absorptive impurity data of snow and ice in Altay (2016-2017) v1.0. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.270959. CSTR: 18406.11.Snow.tpdc.270959. (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.


References literature

1.1. Yulan Zhang, Shichang Kang*, Tanguang Gao, Julia Schmale, Yajun Liu, Wei Zhang, Junming Guo, Wentao Du, Zhaofu, Hu, Xiaoqing Cui, Mika Sillanpaa, 2019. Dissolved organic carbon in snow cover of the Chinese Altai Mountains, Central Asia: Concentrations, sources and light-absorption properties. Science of the Total Environment, 647, 1385-1397, doi: 10.1016/j.scitotenv.2018.07.417 (View Details )


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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: 99.00 West: 84.00
South: 45.00 North: 52.00
Details
  • Temporal resolution: Yearly
  • File size: 0.038 MB
  • Views: 3,344
  • Downloads: 171
  • Access: Open Access
  • Temporal coverage: 2016-11-08 To 2017-07-11
  • Updated time: 2021-11-02
Contacts
: SHANGGUAN Donghui  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata