Defining spatiotemporal characteristics of climate change trends from downscaled GCMs ensembles: how climate change reacts in Xinjiang, China

Author:

Luo Min12345ORCID,Liu Tie1,Frankl Amaury26,Duan Yongchao13,Meng Fanhao13,Bao Anming1,Kurban Alishir145,De Maeyer Philippe245

Affiliation:

1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography; Chinese Academy of Sciences; Urumqi China

2. Department of Geography; Ghent University; Belgium

3. University of Chinese Academy of Science; Beijing China

4. Sino-Belgian Joint Laboratory of Geo-information; Urumqi China

5. Sino-Belgian Joint Laboratory of Geo-information; Gent Belgium

6. Research Fund Flanders (FWO); Brussels Belgium

Funder

State's Key Project of Research and Development Plan

Tianshan Innovation Team Project of Xinjiang Department of Science and Technology

Project of the Chinese Academy of Sciences

National Natural Science Foundation of China

Thousand Youth Talents Plan of China, Xinjiang Project

Publisher

Wiley

Subject

Atmospheric Science

Reference62 articles.

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2. Statistical downscaling and bias correction of climate model outputs for climate change impact assessment in the US northeast;Ahmed;Global Planet. Change,2013

3. Allen RG Pereira LS Raes D Smith M 1998 300

4. Association between climate indices, aridity index, and rainfed crop yield in northeast of Iran;Bannayan;Field. Crop. Res.,2010

5. A numerical simulation of anthropogenic climate change;Bengtsson;Ambio,1997

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