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Global surface-ocean pCO2 and sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme

TLDR
A temporally and spatially resolved estimate of the global surface-ocean CO2 partial pressure field and the sea-air CO2 flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-of-the-atmosphere (CO2) partial pressure data from the SOCAT v15 database.
Abstract
A temporally and spatially resolved estimate of the global surface-ocean CO2 partial pressure field and the sea–air CO2 flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-ocean CO2 partial pressure data from the SOCAT v15 database Results include seasonal, interannual, and short-term (daily) variations In most regions, estimated seasonality is well constrained from the data, and compares well to the widely used monthly climatology by Takahashi et al (2009) Comparison to independent data tentatively supports the slightly higher seasonal variations in our estimates in some areas We also fitted the diagnostic model to atmospheric CO2 data The results of this are less robust, but in those areas where atmospheric signals are not strongly influenced by land flux variability, their seasonality is nevertheless consistent with the results based on surface-ocean data From a comparison with an independent seasonal climatology of surface-ocean nutrient concentration, the diagnostic model is shown to capture relevant surface-ocean biogeochemical processes reasonably well Estimated interannual variations will be presented and discussed in a companion paper

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Global Carbon Budget 2020

Pierre Friedlingstein, +95 more
TL;DR: In this paper, the authors describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land-use change data and bookkeeping models.
Journal ArticleDOI

Global Carbon Budget 2018

Corinne Le Quéré, +84 more
TL;DR: In this article, the authors describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land-use change data and bookkeeping models.
Journal ArticleDOI

Global Carbon Budget 2016

Corinne Le Quéré, +71 more
TL;DR: In this article, the authors quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community.
Journal ArticleDOI

Global Carbon Budget 2019

Pierre Friedlingstein, +88 more
TL;DR: In this article, the authors describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land use change, and show that the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere is a measure of imperfect data and understanding of the contemporary carbon cycle.
Journal ArticleDOI

Global Carbon Budget 2017

Corinne Le Quéré, +86 more
TL;DR: In this paper, the authors quantify the five major components of the global carbon budget and their uncertainties, and the resulting carbon budget imbalance (BIM) is a measure of imperfect data and understanding of the contemporary carbon cycle.
References
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Journal ArticleDOI

Contribution of hurricanes to local and global estimates of air-sea exchange of CO2

TL;DR: The effect of hurricanes on the thermal and physical structure of the upper ocean has been described, but their influence on the ocean carbon cycle and the exchange of carbon between ocean and atmosphere is not well understood as discussed by the authors.
Journal ArticleDOI

Simulation and assimilation of global ocean pCO2 and air–sea CO2 fluxes using ship observations of surface ocean pCO2 in a simplified biogeochemical offline model

TL;DR: This paper used an offline tracer transport model, driven by reanalysis ocean currents and coupled to a simple biogeochemical model, to synthesize the surface ocean p CO 2 and air-sea CO 2 flux of the global ocean from 1996 to 2004, using a variational assimilation method.
Journal ArticleDOI

Correction to “A joint atmosphere‐ocean inversion for surface fluxes of carbon dioxide: 1. Methods and global‐scale fluxes”

TL;DR: For example, Jacobson et al. as discussed by the authors used the MOM3 suite to estimate air-sea fluxes for the 1990-1996 period by assuming the anthropogenic component is proportional to the atmospheric concentration perturbation, but airland fluxes are not scaled.
Journal ArticleDOI

Carbon isotope evidence for the latitudinal distribution and wind speed dependence of the air–sea gas transfer velocity

TL;DR: In this article, the authors used oceanic and atmospheric observations of 14 C and 13 C to constrain the global mean gas transfer velocity as well as the exponent of its wind speed dependence, utilizing the distinct signatures left by the air-sea exchange of 14 CO2 and 13 CO2.
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