globalchange  > 科学计划与规划
DOI: 10.1002/2016GL068539
论文题名:
Empirical algorithms to estimate water column pH in the Southern Ocean
作者: Williams N.L.; Juranek L.W.; Johnson K.S.; Feely R.A.; Riser S.C.; Talley L.D.; Russell J.L.; Sarmiento J.L.; Wanninkhof R.
刊名: Geophysical Research Letters
ISSN: 0094-9126
EISSN: 1944-8857
出版年: 2016
卷: 43, 期:7
起始页码: 3415
结束页码: 3422
语种: 英语
英文关键词: autonomous profiler ; carbon ; ocean acidification ; pH ; Southern Ocean
Scopus关键词: Algorithms ; Carbon ; Hydrographic surveys ; Nitrates ; Oceanography ; Oxygen ; pH ; autonomous profiler ; Climate observations ; Empirical algorithms ; Hydrographic measurements ; Measured parameters ; Ocean acidifications ; Profiling float ; Southern ocean ; pH sensors
英文摘要: Empirical algorithms are developed using high-quality GO-SHIP hydrographic measurements of commonly measured parameters (temperature, salinity, pressure, nitrate, and oxygen) that estimate pH in the Pacific sector of the Southern Ocean. The coefficients of determination, R2, are 0.98 for pH from nitrate (pHN) and 0.97 for pH from oxygen (pHOx) with RMS errors of 0.010 and 0.008, respectively. These algorithms are applied to Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) biogeochemical profiling floats, which include novel sensors (pH, nitrate, oxygen, fluorescence, and backscatter). These algorithms are used to estimate pH on floats with no pH sensors and to validate and adjust pH sensor data from floats with pH sensors. The adjusted float data provide, for the first time, seasonal cycles in surface pH on weekly resolution that range from 0.05 to 0.08 on weekly resolution for the Pacific sector of the Southern Ocean. © 2016. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964577540&doi=10.1002%2f2016GL068539&partnerID=40&md5=d0d7bf0e4a055e2e4d86af5c8d1561f1
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10089
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, United States

Recommended Citation:
Williams N.L.,Juranek L.W.,Johnson K.S.,et al. Empirical algorithms to estimate water column pH in the Southern Ocean[J]. Geophysical Research Letters,2016-01-01,43(7).
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