Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026011 |
Climate reconstruction using data assimilation of water isotope ratios from ice cores | |
Steiger, Nathan J.1; Steig, Eric J.2; Dee, Sylvia G.3; Roe, Gerard H.2; Hakim, Gregory J.4 | |
2017-02-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Water isotope data from ice cores, particularly delta O-18, have long been used in paleoclimatology. Although delta O-18 has been primarily interpreted as a proxy for local air temperature, isotope-enabled climate models have established that there are many nonlocal and nontemperature-related climatic influences on isotopic signals at coring locations. Moreover, recent observational studies have linked ice core isotopes to nonlocal patterns of climate variability, particularly to midlatitude atmospheric circulation patterns and to variations in tropical climate. Therefore, paleoclimate reconstructions may better utilize ice core isotope proxies by combining them with isotope-enabled climate models. Here we employ a data assimilation-based technique that fuses isotopic proxy information with the dynamical constraints of climate models. Through several idealized and real proxy experiments we assess the spatial and temporal extent to which isotope records can reconstruct surface temperature, 500 hPa geopotential height, and precipitation. We find local reconstruction skill to be most robust across the reconstructions, particularly for temperature and geopotential height, as well as limited nonlocal skill in the tropics. These results are in agreement with long-held views that isotopes in ice cores have clear value as local climate proxies, particularly for temperature and atmospheric circulation. These results also show that in principle nonlocal climate information may also be inferred from ice cores. However, the spatial range of this information is nonuniform and depends on skillful modeling of the proxy data within the reconstruction process. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000396119200010 |
WOS关键词 | ATMOSPHERIC CIRCULATION ; MODELS ; TEMPERATURES ; VARIABILITY ; FIRN |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33744 |
专题 | 气候变化 |
作者单位 | 1.Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA; 2.Univ Washington, Dept Earth & Space Sci, Seattle, WA 98195 USA; 3.Brown Univ, Dept Earth Environm & Planetary Sci, Providence, RI 02912 USA; 4.Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA |
推荐引用方式 GB/T 7714 | Steiger, Nathan J.,Steig, Eric J.,Dee, Sylvia G.,et al. Climate reconstruction using data assimilation of water isotope ratios from ice cores[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(3). |
APA | Steiger, Nathan J.,Steig, Eric J.,Dee, Sylvia G.,Roe, Gerard H.,&Hakim, Gregory J..(2017).Climate reconstruction using data assimilation of water isotope ratios from ice cores.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(3). |
MLA | Steiger, Nathan J.,et al."Climate reconstruction using data assimilation of water isotope ratios from ice cores".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.3(2017). |
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