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Activity Number: 277 - SPEED: Biometrics and Environmental Statistics Part 1
Type: Contributed
Date/Time: Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract #323354
Title: Improved Estimation of Inorganic Carbon in the North Atlantic Ocean with State Space Models
Author(s): Claire Boteler* and Michael Dowd and Eric C. J. Oliver and Elias T. Krainski and Douglas W. R. Wallace
Companies: Dalhousie University and Dalhousie University and Dalhousie University and King Abdullah University of Science and Technology and Dalhousie University
Keywords: State Space Model; Kalman Smoother; Regression; Inorganic Carbon; Atlantic Ocean

The North Atlantic Ocean is an important global sink for atmospheric carbon produced by anthropogenic activities. However sparse and irregular sampling makes it difficult to capture a full picture of the spatio-temporal variations of inorganic carbon system variables: dissolved inorganic carbon, total alkalinity, pH and partial pressure of carbon dioxide. The carbon variables have strong regression relationships with more frequently sampled oceanographic variables of temperature and salinity. We used a state space model and Kalman Smoother to sequentially estimate monthly time series of the inorganic carbon variables, and make use of relationships between variables to improve estimates. We also examine the dependence structure of these variables through depth to borrow information from surface observations to the improve inorganic carbon system estimates in the deep ocean.

Authors who are presenting talks have a * after their name.

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