30km Gridded dataset of Snowline altitude in High Mountain Asia (2001-2019)
Named HMA_ Snowline Altitude_ 30 km_Grid, expressed as the 30 km grid snowline altitude dataset in the High Mountain Asia.
The data format is. shp, which can be opened by ArcGIS software;the fields in the data property table (2001, 2002,...2019) respectively correspond to the snowline altitude of each year from 2001 to 2019;A value of 0 represents none snowline altitude.
Tang, Z., Deng, G., Wang, X. (2020). 30km Gridded dataset of Snowline altitude in High Mountain Asia (2001-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.270996. CSTR: 18406.11.Snow.tpdc.270996. (Download the reference: RIS | Bibtex )
Related Literatures:1. Tang, Z., Wang, X., Deng, G., Wang, X., Jiang, Z., & Sang, G. (2020). Spatiotemporal variation of snowline altitude at the end of melting season across High Mountain Asia, using MODIS snow cover product. Advances in Space Research, 66(11), 2629-2645.( View Details | Bibtex)
2. Wang, X.R., Tang, Z.G., Wang J., Deng G., Wang X., & Wei J.F. (2019). Analysis of influencing factors of spatial difference of snowline altitude at the end of ablation season in the High Mountain Asia. Journal of Glaciology and Geocryology, 41(5): 1173-1182.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
National Nature Science Foundation of China (No:41871058)
National Nature Science Foundation of China (No:41501070)
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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)
1.Crevasse dataset over typical ice shelves in Antarctica(2015、2016、2020)
2.Permafrost Distribution of the circum-Arctic (2000-2015)
4.Daily cloudless MODIS snow albedo dataset of Babaohe River basin (2008-2014)
5.Antarctic sea ice density CMIP6 estimation dataset (2020-2100)
8.Antarctic sea ice extent reconstruction over the past 200 years
9.An elevation change dataset in typical drainages of Antarctica ice sheet (2010-2020)
10.Observation of the 2017 Calving Event at the Petermann Glacier in Greenland (2017)
No record
No record
Current page automatically show English comments Show comments in all languages
East: 102.00 | West: 68.10 |
---|---|
South: 27.35 | North: 50.45 |
Distributor: A Big Earth Data Platform for Three Poles
Email: poles@itpcas.ac.cn
Contact Support
Northwest Institute of Eco-Environment and Resources, CAS 0931-4967287 poles@itpcas.ac.cnLinks
National Tibetan Plateau Data CenterFollow Us
A Big Earth Data Platform for Three Poles © 2018-2020 No.05000491 | All Rights Reserved | No.11010502040845
Tech Support: westdc.cn