Global Cryospheric Extent and Phenology Dataset (1979-2016)

Global Cryospheric Extent and Phenology Dataset (1979-2016)


Under the background of global warming, the cryosphere is one of the most sensitive spheres to climate change. The cryosphere is the world's largest reservoir of freshwater resources. The change of the cryosphere has an important impact on the energy exchange, water resources, ecology and disaster process of the earth atmosphere system. Therefore, it is particularly important to explore the response of cryosphere change to climate change. Using satellite remote sensing data, reanalysis data, and observation data, the cryosphere elements were integrated to build a global scale cryosphere range and phenology dataset for 1979-2016. The results can be used to further study the response mechanism of the cryosphere to climate change, as well as to provide basic support for the research of ecosystems, carbon cycle, etc.


File naming and required software

1. Data format: mat
2. Projection: WGS84
3. Data size: 380MB
4. Variable name: cryosphere range, phenology (first day, last day, freezing period)
5. Data unit: None


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

Peng, X. (2022). Global Cryospheric Extent and Phenology Dataset (1979-2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272837. CSTR: 18406.11.Cryos.tpdc.272837. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Peng, X., Zhang, T., Frauenfeld, O.W., Du, R., Jin, H., & Mu, C. (2021). A Holistic Assessment of 1979–2016 Global Cryospheric Extent. Earth's Future, 9(8), e2020EF001969.( 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

Research on the mechanism, influence and climate effect of rapid change in the Arctic (No:2019YFA0607003)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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: 180.00 West: -180.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Daily
  • Spatial resolution: 0.25º - 0.5º
  • File size: 48 MB
  • Views: 1243
  • Downloads: 151
  • Access: Open Access
  • Temporal coverage: 1979-01-01 To 2016-12-31
  • Updated time: 2022-09-27
Contacts
: PENG Xiaoqing  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata