globalchange  > 科学计划与规划
DOI: 10.1002/2017GL073053
论文题名:
Ensemble-based Reconstructed Forcing (ERF) for regional climate modeling: Attaining the performance at a fraction of cost
作者: Erfanian A.; Wang G.; Fomenko L.; Yu M.
刊名: Geophysical Research Letters
ISSN: 0094-9662
EISSN: 1944-9393
出版年: 2017
卷: 44, 期:7
起始页码: 3290
结束页码: 3298
语种: 英语
英文关键词: bias reduction ; climate change ; climate projection ; ERF ; multimodel ensemble ; RCM
Scopus关键词: Climate change ; Bias reduction ; Climate projection ; Global climate model ; Initial and boundary conditions ; Multi-model ensemble ; Multiple solutions ; Regional climate modeling ; Regional climate models ; Climate models
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017426970&doi=10.1002%2f2017GL073053&partnerID=40&md5=4d260022cca15e73d676034650f5d56a
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10751
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Department of Civil and Environmental Engineering and Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT, United States

Recommended Citation:
Erfanian A.,Wang G.,Fomenko L.,et al. Ensemble-based Reconstructed Forcing (ERF) for regional climate modeling: Attaining the performance at a fraction of cost[J]. Geophysical Research Letters,2017-01-01,44(7).
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