Arid
DOI10.1007/s00382-015-2611-4
Using multi-model ensembles to improve the simulated effects of land use/cover change on temperature: a case study over northeast China
Zhang, Xianliang1,2; Xiong, Zhe3; Zhang, Xuezhen4; Shi, Ying5; Liu, Jiyuan4; Shao, Quanqin4; Yan, Xiaodong2
通讯作者Yan, Xiaodong
来源期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2016
卷号46期号:3-4页码:765-778
英文摘要

Rather than simulating the effects of land use and land cover change (LUCC) on the climate using one climate model, as in many previous studies, three regional climate models (Regional Climate Model, version 3; the Weather Research and Forecasting model; and the Regional Integrated Environmental Model System) were used in the present study to simulate changes in temperature due to LUCC. Two experiments (CTL and NE) were designed and run using the three regional climate models. The CTL experiment was used to compare the simulations of the different models and served to illustrate the improvement that could be achieved as a result of employing a multi-model ensemble. The NE experiment was used to evaluate the changes in temperature caused by LUCC in northeast China between 1981 and 2000. The results of the CTL simulations showed that changes in temperature were simulated well by the three regional climate models; however, the simulated temperatures were different, dependent on the model used. The multi-model ensembles [the arithmetic ensemble mean (AEM) and Bayesian model averaging (BMA)] attained better results than any individual model. Of the two ensemble methods, BMA performed better than the AEM. The effects of LUCC on the climate in northeast China were assessed by the differences between the CTL and NE simulations for every RCM and the ensemble simulations. The BMA simulations produced more reasonable results than the other simulations. Based on the results, we can state with some confidence that LUCC in northeast China over the 20-year period studied caused a decrease in temperature, because of an expansion of arable land.


英文关键词Land use/cover change Regional climate model Multi-model ensemble Bayesian model averaging
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000370030900006
WOS关键词MODEL INTERCOMPARISON PROJECT ; REGIONAL CLIMATE ; COVER CHANGE ; TROPICAL DEFORESTATION ; IMPACT ; DYNAMICS ; DESERTIFICATION ; PREDICTION ; SCENARIOS ; SYSTEM
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
来源机构中国科学院地理科学与资源研究所 ; 北京师范大学 ; 中国科学院大气物理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/192077
作者单位1.Shenyang Agr Univ, CFERN, Res Stn Liaohe River Plain Forest Ecosyst, Coll Forestry, Shenyang 110866, Peoples R China;
2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 10087, Peoples R China;
3.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm East Asia, Beijing, Peoples R China;
4.Chinese Acad Sci, Inst Geog & Nat Resources Res, Beijing, Peoples R China;
5.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xianliang,Xiong, Zhe,Zhang, Xuezhen,et al. Using multi-model ensembles to improve the simulated effects of land use/cover change on temperature: a case study over northeast China[J]. 中国科学院地理科学与资源研究所, 北京师范大学, 中国科学院大气物理研究所,2016,46(3-4):765-778.
APA Zhang, Xianliang.,Xiong, Zhe.,Zhang, Xuezhen.,Shi, Ying.,Liu, Jiyuan.,...&Yan, Xiaodong.(2016).Using multi-model ensembles to improve the simulated effects of land use/cover change on temperature: a case study over northeast China.CLIMATE DYNAMICS,46(3-4),765-778.
MLA Zhang, Xianliang,et al."Using multi-model ensembles to improve the simulated effects of land use/cover change on temperature: a case study over northeast China".CLIMATE DYNAMICS 46.3-4(2016):765-778.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Xianliang]的文章
[Xiong, Zhe]的文章
[Zhang, Xuezhen]的文章
百度学术
百度学术中相似的文章
[Zhang, Xianliang]的文章
[Xiong, Zhe]的文章
[Zhang, Xuezhen]的文章
必应学术
必应学术中相似的文章
[Zhang, Xianliang]的文章
[Xiong, Zhe]的文章
[Zhang, Xuezhen]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。