해수면이산화탄소의 비자연적 변화와 변동 : 지구적 자동시계열시스템 네트워크
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Title
- 해수면이산화탄소의 비자연적 변화와 변동 : 지구적 자동시계열시스템 네트워크
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Alternative Title
- Constraining change and variability in surface ocean CO2 : a global network of autonomous time series
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Author(s)
- Sutton, A; Andersson, A; Bates, N; Cai, W.-J; Casari, M; Chu, S; Cronin, M; Cross, J; De Carlo, E; Evans, W; Fassbender, A; Hales, B; Howden, S; Kozyr, A; Lawrence-Slavas, N; 이미진; Manzello, D; McPhaden, M; Meinig, C; Mel; Mickett, J; Morell, J; Newton, J; Nielsen, K; Noakes, S; 노재훈; Olafsdottir, S; Plueddemann, A; Sabine, C.; Salisbury, J.; Send, U.; Skjelvan, I.; Tilbrook, B.; Trull, T.; Vandemark, D.; Weller, R.
- KIOST Author(s)
- Lee, Charity Mijin(이미진)
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Alternative Author(s)
- 이미진; 노재훈
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Publication Year
- 2019-09-23
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Abstract
- Time-series observations are one of the most valuable approaches for characterizing ocean carbon cycle changes over time. High-frequency, surface buoy measurements of carbon dioxide (CO2) in seawater and the atmosphere exist in every ocean, nearly all biogeochemical provinces, and in coastal and coral reef ecosystems. Like ship-based time series, these autonomous observations are of climate quality and standardized across a distributed network of investigators. These time series characterize daily to interannual variability in surface ocean partial pressure of CO2(pCO2), and some sites with a decade or more of observations are also able to constrain long-term change. Current development efforts include expanding these moored pCO2systems to autonomous surface vehicles and designing a sensor with the measurement quality sufficient to detect anthropogenically-driven changes in ocean acidification.
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/22397
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Bibliographic Citation
- OceanOBS19, pp.1, 2019
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Publisher
- OceanOBS
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Type
- Conference
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Language
- English
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