해수면이산화탄소의 비자연적 변화와 변동 : 지구적 자동시계열시스템 네트워크

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.