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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

Climatological mean and decadal change in surface ocean pCO2, and net sea–air CO2 flux over the global oceans

TL;DR: In this article, a global mean distribution for surface water pCO2 over the global oceans in non-El Nino conditions has been constructed with spatial resolution of 4° (latitude) × 5° (longitude) for a reference year 2000 based upon about 3 million measurements of surface water PCO2 obtained from 1970 to 2007.
Journal ArticleDOI

A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP)

TL;DR: The Global Ocean Data Analysis Project (GLODAP) as mentioned in this paper uses ocean sampling data from the World Ocean Circulation Experiment (WOCE), the Joint Global Ocean Flux Study (JGOFS), and the Ocean Atmosphere Carbon Exchange Study (OACES) to produce objectively gridded property maps at a 1° resolution on 33 depth surfaces chosen to match existing climatologies for temperature, salinity, oxygen, and nutrients.
Journal ArticleDOI

Nitrous oxide solubility in water and seawater

TL;DR: In this paper, the solubility of nitrous oxide in pure water and seawater has been measured microgasometrically over the range 0 −40°C and the data have been corrected for nonideality and are fitted to equations in temperature and salinity of the form used previously to fit solubilities of other gases.
Journal ArticleDOI

Glacial/interglacial variations in atmospheric carbon dioxide

TL;DR: A version of the hypothesis that the whole-ocean reservoir of algal nutrients was larger during glacial times, strengthening the biological pump at low latitudes, where these nutrients are currently limiting is presented.

Climatological mean and decadal change in surface ocean pCO2, and net seaair CO2 flux over the global oceans

TL;DR: In this article, a global mean distribution for surface water pCO2 over the global oceans in non-El Nino conditions has been constructed with spatial resolution of 4° (latitude) × 5° (longitude) for a reference year 2000 based upon about 3 million measurements of surface water PCO2 obtained from 1970 to 2007.
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