DOI: 10.1029/2017JC013404
Scopus记录号: 2-s2.0-85051145915
论文题名: Estimating Oxygen in the Southern Ocean Using Argo Temperature and Salinity
作者: Giglio D. ; Lyubchich V. ; Mazloff M.R.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 6 起始页码: 4280
结束页码: 4297
语种: 英语
英文关键词: Argo and BGC-Argo
; machine learning
; mapping methods
; oxygen
; Southern Ocean
; Southern Ocean State Estimate (SOSE)
英文摘要: An Argo-based estimate of oxygen (O2) at 150 m is presented for the Southern Ocean (SO) from temperature (T), salinity (S), and O2 Argo profiles collected during 2008–2012. The method is based on a supervised machine learning algorithm known as random forest (RF) regression and provides an estimate for O2 given T, S, location, and time information. The method is validated by attempting to reproduce the Southern Ocean State Estimate (SOSE) O2 field using synthetic data sampled from SOSE. The RF mapping shows skill in the majority of the domain but is problematic in some of the boundary regions. Maps of O2 at 150 m derived from observed profiles suggest that SOSE and the World Ocean Atlas 2013 climatology may overestimate annual mean O2 in the SO, both on a global and basin scale. A large regional bias is found east of Argentina, where high O2 values in the Argo-based estimate are confined closer to the coast compared to other products. SOSE may also underestimate the annual cycle of O2. Evaluation of the RF-based method demonstrates its potential to improve understanding of O2 annual mean fields and variability from sparse O2 measurements. This implies the algorithm will also be effective for mapping other biogeochemical variables (e.g., nutrients and carbon). Furthermore, our RF evaluation results can be used to inform the design of future enhancements to the current array of O2 profiling floats. © 2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113773
Appears in Collections: 气候减缓与适应
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作者单位: Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States; Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD, United States
Recommended Citation:
Giglio D.,Lyubchich V.,Mazloff M.R.. Estimating Oxygen in the Southern Ocean Using Argo Temperature and Salinity[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(6)