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Title: Non-stationary bias correction of monthly CMIP5 temperature projections over China using a residual-based bagging tree model

 [1]; ORCiD logo [1];  [1];  [2];  [3];  [4]
  1. Department of Civil and Environmental Engineering, University of California, Irvine CA USA
  2. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, China
  3. China's Agenda21, The Administrative Center, Beijing China
  4. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Institute of Water Resources and Hydropower Research, Beijing China
Publication Date:
Sponsoring Org.:
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Resource Type:
Publisher's Accepted Manuscript
Journal Name:
International Journal of Climatology
Additional Journal Information:
Journal Name: International Journal of Climatology; Journal ID: ISSN 0899-8418
Country of Publication:
United Kingdom

Citation Formats

Tao, Yumeng, Yang, Tiantian, Faridzad, Mohammad, Jiang, Lin, He, Xiaojia, and Zhang, Xiaoming. Non-stationary bias correction of monthly CMIP5 temperature projections over China using a residual-based bagging tree model. United Kingdom: N. p., 2017. Web. doi:10.1002/joc.5188.
Tao, Yumeng, Yang, Tiantian, Faridzad, Mohammad, Jiang, Lin, He, Xiaojia, & Zhang, Xiaoming. Non-stationary bias correction of monthly CMIP5 temperature projections over China using a residual-based bagging tree model. United Kingdom. doi:10.1002/joc.5188.
Tao, Yumeng, Yang, Tiantian, Faridzad, Mohammad, Jiang, Lin, He, Xiaojia, and Zhang, Xiaoming. Fri . "Non-stationary bias correction of monthly CMIP5 temperature projections over China using a residual-based bagging tree model". United Kingdom. doi:10.1002/joc.5188.
title = {Non-stationary bias correction of monthly CMIP5 temperature projections over China using a residual-based bagging tree model},
author = {Tao, Yumeng and Yang, Tiantian and Faridzad, Mohammad and Jiang, Lin and He, Xiaojia and Zhang, Xiaoming},
abstractNote = {},
doi = {10.1002/joc.5188},
journal = {International Journal of Climatology},
number = ,
volume = ,
place = {United Kingdom},
year = {2017},
month = {8}

Journal Article:
Free Publicly Available Full Text
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DOI: 10.1002/joc.5188

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