Abstract

Abstract. We construct a carbon cycle box model to process observed or inferred geochemical evidence from modern and paleo settings. The [simple carbon project] model v1.0 (SCP-M) combines a modern understanding of the ocean circulation regime with the Earth's carbon cycle. SCP-M estimates the concentrations of a range of elements within the carbon cycle by simulating ocean circulation, biological, chemical, atmospheric and terrestrial carbon cycle processes. The model is capable of reproducing both paleo and modern observations and aligns with CMIP5 model projections. SCP-M's fast run time, simplified layout and matrix structure render it a flexible and easy-to-use tool for paleo and modern carbon cycle simulations. The ease of data integration also enables model–data optimisations. Limitations of the model include the prescription of many fluxes and an ocean-basin-averaged topology, which may not be applicable to more detailed simulations. In this paper we demonstrate SCP-M's application primarily with an analysis of the carbon cycle transition from the Last Glacial Maximum (LGM) to the Holocene and also with the modern carbon cycle under the influence of anthropogenic CO2 emissions. We conduct an atmospheric and ocean multi-proxy model–data parameter optimisation for the LGM and late Holocene periods using the growing pool of published paleo atmosphere and ocean data for CO2, δ13C, Δ14C and the carbonate ion proxy. The results provide strong evidence for an ocean-wide physical mechanism to deliver the LGM-to-Holocene carbon cycle transition. Alongside ancillary changes in ocean temperature, volume, salinity, sea-ice cover and atmospheric radiocarbon production rate, changes in global overturning circulation and, to a lesser extent, Atlantic meridional overturning circulation can drive the observed LGM and late Holocene signals in atmospheric CO2, δ13C, Δ14C, and the oceanic distribution of δ13C, Δ14C and the carbonate ion proxy. Further work is needed on the analysis and processing of ocean proxy data to improve confidence in these modelling results.

Highlights

  • A box model divides regions of the ocean into boxes or grids based on some property of the composite water masses, such as temperature, density or chemical composition

  • The simple carbon project] model v1.0 (SCP-M) carbon cycle box model was constructed for the purposes of scenario or hypothesis testing, model–data integration and inversion, paleo reconstructions, and analysing the distribution of anthropogenic emissions in the carbon cycle

  • Despite being relatively simple in concept and construct, SCP-M can account for a range of paleo and modern carbon cycle observations

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Summary

Introduction

A box model divides regions of the ocean into boxes or grids based on some property of the composite water masses, such as temperature, density or chemical composition. De Boer and Hogg (2014) described a simple model of deep ocean mixing of water masses under the influence of sea-floor topography These high-level concepts are easy to apply to box models. There are a number of features of the carbon cycle outside ocean circulation and biology which influence proxy indicators, the carbon isotopes Omitting these features could lead to erroneous modelling outcomes, in the case of the terrestrial biosphere, which strongly influences atmospheric CO2 and δ13C In this paper we describe SCP-M and illustrate its application alongside LGM and late Holocene ocean and atmosphere data, with several insights for the transition between the two periods, plus modelling of the modern and future carbon cycle under the influence of anthropogenic emissions.

SCP-M description
Model topology
Basic features
The ocean circulation and mixing
Biological flux parameterisation
The carbonate pump
Air–sea gas exchange
Sea surface temperature and salinity
Atmosphere and terrestrial carbon cycle
The complete carbon cycle equations
Treatment of carbon isotopes
13 C total carbon
Biological fractionation of carbon isotopes
Fractionation of carbon isotopes during air–sea gas exchange
Source and decay of radiocarbon
Modelling results
Pre-industrial calibration
Sensitivity tests
Modern carbon cycle simulation
Background
Model–data experiments
Model advantages and limitations
Modern carbon cycle simulations
Findings
LGM–late Holocene modelling
Conclusions
Full Text
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