Browsing by Subject "Carbon cycle"
Now showing items 1-6 of 6
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An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks.
(2021)This work presents two new methods to estimate oceanic alkalinity (AT), dissolved inorganic carbon (CT), pH, and pCO2 from temperature, salinity, oxygen, and geolocation data. “CANYON-B” is a Bayesian neural network ... -
Autonomous Optofluidic Chemical Analyzers for Marine Applications: Insights from the Submersible Autonomous Moored Instruments (SAMI) for pH and pCO2.
(2018)The commercial availability of inexpensive fiber optics and small volume pumps in the early 1990’s provided the components necessary for the successful development of low power, low reagent consumption, autonomous ... -
A BGC-Argo Guide: Planning, Deployment, Data Handling and Usage.
(2019)The Biogeochemical-Argo program (BGC-Argo) is a new profiling-float-based, ocean wide, and distributed ocean monitoring program which is tightly linked to, and has benefited significantly from, the Argo program. The ... -
Comparison of the burial rate estimation methods of organic and inorganic carbon and quantification of carbon burial in two high Arctic fjords.
(2018)Quantifying the burial of organic carbon (OC) and inorganic carbon (IC) species in marine sediments contribute to a better understanding of carbon cycle. This is especially important in the Arctic, where carbon deposition ... -
Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water. Version 2.
(Oak Ridge National Lab. (ORNL), Oak Ridge, TN, 1994)The collection of extensive, reliable, oceanic carbon data is a key component of the Joint Global Ocean Flux Study (JGOFS). A portion of the US JGOFS oceanic carbon dioxide measurements will be made during the World Ocean ... -
Policy Document - Sensor Development for the Ocean of Tomorrow. [SenseOCEAN : Marine Sensors for the 21st Century , Deliverable 7.8]
(National Oceanography Centre for SenseOCEAN Project, Southampton, UK, 2017)The following sections highlight the major sensor developments and specific innovations from the NeXOS, SCHeMA and SenseOCEAN projects in order to give decision makers a realistic overview of what can be achieved in ...