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DOI | 10.5194/cp-15-1099-2019 |
Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations | |
Cuesta-Valero F.J.; García-García A.; Beltrami H.; Zorita E.; Jaume-Santero F. | |
发表日期 | 2019 |
ISSN | 18149324 |
起始页码 | 1099 |
结束页码 | 1111 |
卷号 | 15期号:3 |
英文摘要 | Estimates of climate sensitivity from general circulation model (GCM) simulations still present a large spread despite the continued improvements in climate modeling since the 1970s. This variability is partially caused by the dependence of several long-term feedback mechanisms on the reference climate state. Indeed, state-of-the-art GCMs present a large spread of control climate states probably due to the lack of a suitable reference for constraining the climatology of preindustrial simulations. We assemble a new gridded database of long-term ground surface temperatures (LoST database) obtained from geothermal data over North America, and we explore its use as a potential reference for the evaluation of GCM preindustrial simulations. We compare the LoST database with observations from the Climate Research Unit (CRU) database, as well as with five past millennium transient climate simulations and five preindustrial control simulations from the third phase of the Paleoclimate Modelling Intercomparison Project (PMIP3) and the fifth phase of the Coupled Model Intercomparison Project (CMIP5). The database is consistent with meteorological observations as well as with both types of preindustrial simulations, which suggests that LoST temperatures can be employed as a reference to narrow down the spread of surface temperature climatologies on GCM preindustrial control and past millennium simulations. © 2019 The Author(s). |
语种 | 英语 |
scopus关键词 | climate modeling; CMIP; feedback mechanism; general circulation model; simulation; surface temperature; North America |
来源期刊 | Climate of the Past
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146808 |
作者单位 | Environmental Sciences Program, Memorial University of Newfoundland, St. John's, NL, Canada; Climate and Atmospheric Sciences Institute, St. Francis Xavier University, Antigonish, NS, Canada; Institute of Coastal Research, Hemlholtz-Zentrum Geesthacht, Geesthacht, Germany; Departamento de Física de la Tierra y Astrofísica, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, Madrid, 28040, Spain |
推荐引用方式 GB/T 7714 | Cuesta-Valero F.J.,García-García A.,Beltrami H.,et al. Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations[J],2019,15(3). |
APA | Cuesta-Valero F.J.,García-García A.,Beltrami H.,Zorita E.,&Jaume-Santero F..(2019).Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations.Climate of the Past,15(3). |
MLA | Cuesta-Valero F.J.,et al."Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations".Climate of the Past 15.3(2019). |
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