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Improved latitudinal carbon budgets from global airborne surveys

  • Britton B. Stephens
  • , Yuming Jin
  • , Colm Sweeney
  • , Kathryn McKain
  • , Benjamin Gaubert
  • , David F. Baker
  • , Sourish Basu
  • , Michael Bertolacci
  • , Frédéric Chevallier
  • , Róisín Commane
  • , Sean Crowell
  • , Feng Deng
  • , Matthew S. Johnson
  • , Ralph F. Keeling
  • , Junjie Liu
  • , Zhiqiang Liu
  • , Suman Maity
  • , Eric J. Morgan
  • , Prabir Patra
  • , Sajeev Philip
  • Steven C. Wofsy, Andrew Zammit-Mangion
  • National Center for Atmospheric Research
  • National Oceanic and Atmospheric Administration
  • Colorado State University
  • NASA Goddard Space Flight Center
  • University of Maryland, College Park
  • University of Western Australia
  • University of Wollongong
  • Université Paris-Saclay
  • Columbia University
  • University of Rochester
  • University of Toronto
  • NASA Ames Research Center
  • University of California at San Diego
  • California Institute of Technology
  • China Meteorological Administration
  • Japan Agency for Marine-Earth Science and Technology
  • National Institute for Environmental Studies of Japan
  • Indian Institute of Technology Delhi
  • Harvard University
  • University of New South Wales

Research output: Contribution to journalArticlepeer-review

Abstract

Robust information on the spatial distribution of global carbon fluxes is required to project the future trajectory of carbon-climate feedback effects and atmospheric CO2 concentrations. Estimates of the latitudinal partitioning of carbon fluxes from top-down atmospheric CO2 inverse models currently diverge widely, because of methodological limitations or systematic biases in models or observations. We use airborne CO2 observations from the NASA Atmospheric Tomography Mission to evaluate and refine inverse model estimates from the Orbiting Carbon Observatory version 10 Model Intercomparison Project of total CO2 exchange for the two-year period of June 2016–May 2018. Applying emergent concentration-flux relationships as constraints reduces zonal total flux uncertainties by 46 to 56% relative to the full v10 MIP ensemble and by 17 to 28% relative to the subset excluding satellite observations over ocean. Subtracting independent estimates of fossil-fuel emissions and air-sea gas exchange results in residual land fluxes with a large northern extratropical sink, a small southern extratropical sink, and a small tropical source. The airborne-derived tropical land source disagrees with a large tropical land sink from process-based terrestrial models combined with estimates of land use emissions and river fluxes, representing an important challenge for our understanding of the global carbon cycle. The large implied northern extratropical sink can be explained either by underestimated land uptake by process models or a combination of process model bias and overestimated fossil fuel emissions.

Original languageEnglish
Article numbere2523984123
JournalProceedings of the National Academy of Sciences of the United States of America
Volume123
Issue number25
DOIs
StatePublished - Jun 23 2026
Externally publishedYes

Keywords

  • airborne observations
  • atmospheric inverse modeling
  • global carbon cycle
  • satellite CO measurements

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