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.
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 )
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9.HiWATER: Dataset of flux observation matrix (eddy covariance system of Zhangye wetland Station) of the MUlti-Scale Observation EXperiment on Evapotranspiration over heterogeneous land surfaces 2012 (MUSOEXE-12)
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