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Climate change projections from Coupled Model Intercomparison Project phase 5 multi-model weighted ensembles for Mexico, the North American monsoon, and the mid-summer drought region 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (15) : 5699-5716
作者:  Colorado-Ruiz, Gabriela;  Cavazos, Tereza;  Antonio Salinas, Jose;  De Grau, Pamela;  Ayala, Rosario
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
climate change  CMIP5  Mexico  monsoon  MSD  projections  REA  weighted ensembles  
Divergent responses of thermal growing degree-days and season to projected warming over China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (15) : 5605-5618
作者:  Deng, Haoyu;  Yin, Yunhe;  Wu, Shaohong
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
China  climate change  growing season  temperature sensitivity  thermal growing degree-days  
Effect of coupled global climate models sea surface temperature biases on simulated climate of the western United States 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (14) : 5386-5404
作者:  Mejia, John F.;  Koracin, Darko;  Wilcox, Eric M.
收藏  |  浏览/下载：1/0  |  提交时间：2019/04/09
CMIP3  CMIP5  dynamical downscaling  error transfer  precipitation bias  RCM  SST biases  
Inter-annual variability of global monsoon precipitation in present-day and future warming scenarios based on 33 Coupled Model Intercomparison Project Phase 5 models 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4875-4890
作者:  Ni, Yan;  Hsu, Pang-Chi
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
CMIP5  global monsoon precipitation  inter-annual variability  
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4891-4902
作者:  Wang, Bin;  Zheng, Lihong;  Liu, De Li;  Ji, Fei;  Clark, Anthony;  Yu, Qiang
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine  
Pacific sea surface temperature related influences on North American monsoon precipitation within North American Regional Climate Change Assessment Program models 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (11) : 4189-4210
作者:  Carrillo, Carlos M.;  Castro, Christopher L.;  Garfin, Gregg;  Chang, Hsin-I;  Bukovsky, Melissa S.;  Mearns, Linda O.
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
ENSO-PDV  MTM-SVD  NAM  NARCCAP  
High-resolution projections of evapotranspiration and water availability for Europe under climate change 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (10) : 3832-3841
作者:  Dezsi, Stefan;  Mindrescu, Marcel;  Petrea, Danut;  Rai, Praveen Kumar;  Hamann, Andreas;  Nistor, Margarit-Mircea
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
actual evapotranspiration  climate change  Europe  high spatial resolution models  potential evapotranspiration  water availability  
Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (7) : 3140-3156
作者:  Fan, Tianyi;  Zhao, Chuanfeng;  Dong, Xiquan;  Liu, Xiaohong;  Yang, Xin;  Zhang, Fang;  Shi, Chunming;  Wang, Yuying;  Wu, Fang
收藏  |  浏览/下载：17/0  |  提交时间：2019/04/09
aerosol simulation error  AMIP project  cloud fraction bias  MODIS  prognostic CF scheme  
Projected signals in climate extremes over China associated with a 2 degrees C global warming under two RCP scenarios 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38: E678-E697
作者:  Sui, Yue;  Lang, Xianmei;  Jiang, Dabang
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
2 degrees C global warming  temperature extremes  precipitation extremes  signals  signal-to-noise ratio  China  
Climate change projections over China using regional climate models forced by two CMIP5 global models. Part I: evaluation of historical simulations 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38: E57-E77
作者:  Hui, Pinhong;  Tang, Jianping;  Wang, Shuyu;  Niu, Xiaorui;  Zong, Peishu;  Dong, Xinning
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/09
dynamical downscaling  climate in China  different RCMs  multi-driving fields