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Using altimetry to help explain patchy changes in hydrographic carbon measurements

  • Keith B. Rodgers
  • , Robert M. Key
  • , Anand Gnanadesikan
  • , Jorge L. Sarmiento
  • , Olivier Aumont
  • , Laurent Bopp
  • , Scott C. Doney
  • , John R. Dunne
  • , David M. Glover
  • , Akio Ishida
  • , Masao Ishii
  • , Andrew R. Jacobson
  • , Claire Lo Monaco
  • , Ernst Maier-Reimer
  • , Herlé Mercier
  • , Nicolas Metzl
  • , Fiz F. Pérez
  • , Aida F. Rios
  • , Rik Wanninkhof
  • , Patrick Wetzel
  • Christopher D. Winn, Yasuhiro Yamanaka
  • AOS Program
  • Princeton University
  • National Oceanic and Atmospheric Administration
  • UPMC
  • CNRS
  • UVSQ
  • Woods Hole Oceanographic Institution
  • JAMSTEC
  • MRI
  • University of Colorado Boulder
  • MPI for Meteorology
  • University of Sheffield
  • College of Natural and Computational Sciences
  • Hawaii Pacific University
  • Graduate School of Environmental Earth Science
  • Hokkaido University

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

Here we use observations and ocean models to identify mechanisms driving large seasonal to interannual variations in dissolved inorganic carbon (DIC) and dissolved oxygen (O2) in the upper ocean. We begin with observations linking variations in upper ocean DIC and O2 inventories with changes in the physical state of the ocean. Models are subsequently used to address the extent to which the relationships derived from short-timescale (6 months to 2 years) repeat measurements are representative of variations over larger spatial and temporal scales. The main new result is that convergence and divergence (column stretching) attributed to baroclinic Rossby waves can make a first-order contribution to DIC and O2 variability in the upper ocean. This results in a close correspondence between natural variations in DIC and O2 column inventory variations and sea surface height (SSH) variations over much of the ocean. Oceanic Rossby wave activity is an intrinsic part of the natural variability in the climate system and is elevated even in the absence of significant interannual variability in climate mode indices. The close correspondence between SSH and both DIC and O2 column inventories for many regions suggests that SSH changes (inferred from satellite altimetry) may prove useful in reducing uncertainty in separating natural and anthropogenic DIC signals (using measurements from Climate Variability and Predictability's CO2/Repeat Hydrography program.

Original languageEnglish
Article numberC09013
JournalJournal of Geophysical Research: Oceans
Volume114
Issue number9
DOIs
Publication statusPublished - 1 Jan 2009
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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