globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016JD026222
论文题名:
Detecting shifts in tropical moisture imbalances with satellite-derived isotope ratios in water vapor
作者: Bailey A.; Blossey P.N.; Noone D.; Nusbaumer J.; Wood R.
刊名: Journal of Geophysical Research: Atmospheres
出版年: 2017
卷: 122, 期:11
起始页码: 5763
结束页码: 5779
语种: 英语
英文关键词: amount effect ; ENSO ; intensification ; TES ; water cycle ; water isotope
英文摘要: As global temperatures rise, regional differences in evaporation (E) and precipitation (P) are likely to become more disparate, causing the drier E-dominated regions of the tropics to become drier and the wetter P-dominated regions to become wetter. Models suggest that such intensification of the water cycle should already be taking place; however, quantitatively verifying these changes is complicated by inherent difficulties in measuring E and P with sufficient spatial coverage and resolution. This paper presents a new metric for tracking changes in regional moisture imbalances (e.g., E-P) by defining δDq—the isotope ratio normalized to a reference water vapor concentration of 4 mmol mol−1—and evaluates its efficacy using both remote sensing retrievals and climate model simulations in the tropics. By normalizing the isotope ratio with respect to water vapor concentration, δDq isolates the portion of isotopic variability most closely associated with shifts between E- and P-dominated regimes. Composite differences in δDq between cold and warm phases of El Niño–Southern Oscillation (ENSO) verify that δDq effectively tracks changes in the hydrological cycle when large-scale convective reorganization takes place. Simulated δDq also demonstrates sensitivity to shorter-term variability in E-P at most tropical locations. Since the isotopic signal of E-P in free tropospheric water vapor transfers to the isotope ratios of precipitation, multidecadal observations of both water vapor and precipitation isotope ratios should provide key evidence of changes in regional moisture imbalances now and in the future. ©2017. American Geophysical Union. All Rights Reserved.
资助项目: "A. Bailey thanks the Joint Institute for the Study of the Atmosphere and Ocean for a postdoctoral research fellowship that supported this research, H. Singh at the University of Washington for numerous thought-provoking discussions on hydroclimate variability, and the manuscript's reviewers for their in-depth and thoughtful critiques. P. Blossey and D. Noone were supported by the NASA Modeling, Analysis and Prediction Program through grant NNX13AN47G. J. Nusbaumer and the development of the isotopic version of CAM were supported by the NSF Paleoclimate program (AGS-1049104) and Climate and Large Scale Dynamics program as part of a Faculty Early Career Development award (AGS-0955841) and made use of computing resources provided by the Climate Simulation Laboratory at the National Center for Atmospheric Research's Computational and Information Systems Laboratory, sponsored by the National Science Foundation. Data used in this analysis may be located via the references and websites cited in the main text.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62673
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA, United States; Now at Department of Earth Sciences, Dartmouth College, Hanover, NH, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, United States; Cooperative Institute for Research in Environmental Sciences and Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, United States; Now at NASA Goddard Institute for Space Studies, New York, NY, United States

Recommended Citation:
Bailey A.,Blossey P.N.,Noone D.,et al. Detecting shifts in tropical moisture imbalances with satellite-derived isotope ratios in water vapor[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(11)
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