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Open AccessJournal ArticleDOI

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

CO 2 flux history 1982–2001 inferred from atmospheric data using a global inversion of atmospheric transport

TL;DR: In this paper, a time-dependent Bayesian inversion technique was used to estimate interannual variations and spatial patterns of surface CO2 fluxes in the period 01/1982-12/2000, by using a timedependent Bayes inversion method.
Journal ArticleDOI

Constraining global air-sea gas exchange for CO2 with recent bomb 14C measurements

TL;DR: This paper used the most complete database of dissolved inorganic radiocarbon, DI14C, available to date and a suite of ocean general circulation models in an inverse mode to recalculate the ocean inventory of bomb-produced DI 14C in the global ocean.
Journal ArticleDOI

Global relationships of total alkalinity with salinity and temperature in surface waters of the world's oceans

TL;DR: In this paper, a simple function of sea surface salinity and temperature (SST) in the form AT = a + b (SSS − 35) + c (SS −35)2 + d (sST − 20) + e (Sst − 20 )2 fits surface total alkalinity (AT) data for each of five oceanographic regimes within an area-weighted uncertainty of ±8.1 μmol kg−1 (1σ).
Journal ArticleDOI

Ocean Biogeochemical Dynamics

TL;DR: Sensitivity of global ocean biogeochemical dynamics to ecosystem structure in a future climate and model methods for Marine Science are described.
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