Downscaling simulations of future temperature based on CMIP5 outputs in Heihe river basin (2011-2100)
Downscaling simulations of future temperature based on CMIP5 outputs in Heihe river basin (2011-2100)

Based on the downscaling temperature result data in the historical period of CMIP5 (Coupled Model Intercomparison Project Phase 5), the future multi-year average temperature in the three periods of 2011-2040, 2041-2070, and 2071-2100 was predicted. Under the scenarios of rcp2.6, rcp4.5, and rcp8.5, the method of combining ordinary least squares regression with HASM (High Accuracy Surface Modeling Method) was used to downscaling simulate and predict, and the 1km downscaling results of the multi-year average temperature in the three scenarios of 2011-2040, 2041-2070 and 2071-2100 were obtained.

Data Citations
Related Literatures:

1. TianXiang Yue. 2011. Surface Modelling: High Accuracy and High Speed Methods. New York: CRC Press (Taylor & Francis group)(View Details)

2. Zhao, N. , Yue, T. X. , Zhou, X. , Zhao, M. W. , Liu, Y. , Du, Z. P., & Zhang, L. L. (2017). Statistical downscaling of precipitation using local regression and high accuracy surface modeling method. Theoretical and Applied Climatology, 1: 1-12.(View Details)

Cite as:

Yue, T., Zhao, N. (2016). < b>Downscaling simulations of future temperature based on CMIP5 outputs in Heihe river basin (2011-2100)</b>2016. doi: 10.3972/heihe.0234.2016.db. (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.


Terms of Use

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.

Related Resources
Comments

Sign In to add comments

Keywords
Geographic coverage
Spatial coverage

East:101.0

South:38.0

West:98.0

North:42.0

Details
  • Format: img
  • File size: 12.0 MB
  • Browse count:10697
  • Temporal coverage:2011-01-13 To 2100-01-13
  • Access: Offline
  • Updated time:2021-04-20
下载数据
Authors

Resource Provider: YUE Tianxiang   ZHAO Na  

导出元数据
Word