Geodetic Glacier mass changes in Naimo'Nanyi area in 1974-2000 and 2000-2013 (V1.0)

Geodetic Glacier mass changes in Naimo'Nanyi area in 1974-2000 and 2000-2013 (V1.0)


The data involved two periods of geodetic glacier mass storage change of Naimona’Nyi glaciers in the western of Himalaya from 1974-2013 (unit: m w.e. a-1). It is stored in the ESRI vector polygon format. The data sets are composed of two periods of glacier surface elevation difference between 1974-2000 and 2000-2013, i.e. DHSRTM2000-DEM1974(DH2000-1974)、DHTanDEM2013-SRTM2000(DH2013-2000). DH2000-1974 was surface elevation change between SRTM2000 and DEM1974, i.e. the earlier historical DEM (DEM1974, spatial resolution 25m) was derived from 1:50,000 topographic maps in October 1974(DEM1974,spatial resolution 25m). The uncertainty in the ice free areas of DH2000-1974 was ±0.13 m a-1. The surface elevation difference between 2000-2013 (DH2000-2013, by DinSAR techniques from SRTM DEM2000 and TSX/TDX data on Oct.17th in 2013) The uncertainty in the ice free areas of DH2013-2000 was ±0.04 m a-1. Glacier-averaged annual mass balance change (m w.e.a-1) was averaged annually for each glacier, which was calculated by DH2000-1974/DH2013-2000, glacier coverage area and ice density of 850 ± 60 kg m−3. The attribute data includes Glacier area by Shape_Area (m2), EC74_00, EC00_13, i.e. Glacier-averaged surface elevation change in 1974-2000 and 2000-2013(m a-1), MB74_00, MB00_13 i.e. Glacier-averaged annual mass balance in 1974-2000 and 2000-2013 (m w.e.a-1), and MC74_00, MC00_13, Glacier-averaged annual mass change in 1974-2000 and 2000-2013 (m3 w.e.a-1), Uncerty_MB, is the uncertainty of glacier-averaged annual mass balance(m w.e. a-1), Uncerty_MC, is the Maximum uncertainty of glacier-averaged annual mass change(m3 w.e. a-1). The data sets could be used for glacier change, hydrological and climate change studies in the Himalayas and High Mountain Asia.


File naming and required software

In .shp format, can be opened and analysed in ArcGis software.


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

Ye, Q. (2020). Geodetic Glacier mass changes in Naimo'Nanyi area in 1974-2000 and 2000-2013 (V1.0). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Glacio.tpdc.270752. CSTR: 18406.11.Glacio.tpdc.270752. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Ye, Q., T. Bolch, R. Naruse, et al. (2015). Glacier mass changes in Rongbuk catchment on Mt. Qomolangma from 1974 to 2006 based on topographic maps and ALOS PRISM data. Journal of Hydrology, 530, 273-280.DOI:10.1016/j.jhydrol.2015.09.014( View Details | Download | 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

Follow
Keywords
Geographic coverage
East: 81.50 West: 81.20
South: 30.30 North: 30.50
Details
  • Temporal resolution: 10 year < x < 100 year
  • Spatial resolution: <= 1 m
  • File size: 0.25 MB
  • Views: 2,354
  • Downloads: 1
  • Access: Protection period
  • Temporal coverage: 1974-11-29 To 2013-10-23
  • Updated time: 2022-04-18

download later

Contacts
: YE Qinghua  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata