DOI: 10.1002/2016GL070152
论文题名: North American paleoclimate reconstructions for the Last Glacial Maximum using an inverse modeling through iterative forward modeling approach applied to pollen data
作者: Izumi K. ; Bartlein P.J.
刊名: Geophysical Research Letters
ISSN: 0094-8512
EISSN: 1944-8243
出版年: 2016
卷: 43, 期: 20 起始页码: 10965
结束页码: 10972
语种: 英语
英文关键词: inverse-vegetation modeling
; pollen-based climate reconstruction
; the Last Glacial Maximum
Scopus关键词: Carbon
; Carbon dioxide
; Climate models
; Efficiency
; Glacial geology
; Moisture
; Repair
; Vegetation
; Carbon use efficiencies
; Climate reconstruction
; Last Glacial Maximum
; Paleoclimate reconstruction
; Statistical approach
; Temperature reconstruction
; Vegetation model
; Water use efficiency
; Inverse problems
英文摘要: The inverse modeling through iterative forward modeling (IMIFM) approach was used to reconstruct Last Glacial Maximum (LGM) climates from North American fossil pollen data. The approach was validated using modern pollen data and observed climate data. While the large-scale LGM temperature IMIFM reconstructions are similar to those calculated using conventional statistical approaches, the reconstructions of moisture variables differ between the two approaches. We used two vegetation models, BIOME4 and BIOME5-beta, with the IMIFM approach to evaluate the effects on the LGM climate reconstruction of differences in water use efficiency, carbon use efficiency, and atmospheric CO2 concentrations. Although lower atmospheric CO2 concentrations influence pollen-based LGM moisture reconstructions, they do not significantly affect temperature reconstructions over most of North America. This study implies that the LGM climate was very cold but not very much drier than present over North America, which is inconsistent with previous studies. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989954469&doi=10.1002%2f2016GL070152&partnerID=40&md5=0477d946f255f12c296d37e00b3eceb4
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9475
Appears in Collections: 科学计划与规划 气候变化与战略
There are no files associated with this item.
作者单位: Laboratoire de Météorologie Dynamique, IPSL, CNRS, Université Pierre et Marie Curie, Paris, France
Recommended Citation:
Izumi K.,Bartlein P.J.. North American paleoclimate reconstructions for the Last Glacial Maximum using an inverse modeling through iterative forward modeling approach applied to pollen data[J]. Geophysical Research Letters,2016-01-01,43(20).