Spatial distribution of global mean annual temperature simulated by multi-model ensemble under different climate scenarios (2006-2100)

Spatial distribution of global mean annual temperature simulated by multi-model ensemble under different climate scenarios (2006-2100)


According to the data of three future scenarios of CMIP5 (RCP2.6、RCP4.5、RCP8.5), the spatial variation characteristics and temporal variation trend of the global mean annual air temperature from 2006 to 2100 are analyzed. Under rcp2.6 scenario, the mean annual air temperature shows an increasing trend, with the growth rate ranging from 0.0 ° c/decade to 0.2 ° c/decade (P<0.05), the growth in high latitude regions is faster, ranging from 0.1 ° c/decade to 0.2 ° C / decade. Based on the spatial and temporal characteristics of the mean annual air temperature in the northern hemisphere in the 21st century, under different scenarios, the mean annual air temperature shows a warming trend, and the high latitudes show a more sensitive and rapid growth.


File naming and required software

The mean annual air temperature is stored in NC format, and the name of the file is MAAT_ RCPXX_ 2006-2100.nc, where XX represents the mean annual air temperature of each year during 2006-2100 under different climate scenarios.


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

Niu, F. (2022). Spatial distribution of global mean annual temperature simulated by multi-model ensemble under different climate scenarios (2006-2100). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272742. CSTR: 18406.11.Atmos.tpdc.272742. (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

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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: 180.00 West: -180.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 0.5º - 1º
  • File size: 436 MB
  • Views: 663
  • Downloads: 16
  • Access: Requestable
  • Temporal coverage: 2006-01-01 To 2100-12-31
  • Updated time: 2022-10-23
Contacts
: NIU Fujun  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata