Causes and implications of persistent atmospheric carbon dioxide biases in Earth System Models. Issue 2 (15th February 2014)

• Record Type: Journal Article
• Authors: Hoffman, F. M.; Randerson, J. T.; Arora, V. K.; Bao, Q.; Cadule, P.; Ji, D.; Jones, C. D.; Kawamiya, M.; Khatiwala, S.; Lindsay, K.; Obata, A.; Shevliakova, E.; Six, K. D.; Tjiputra, J. F.; Volodin, E. M.; Wu, T.
• Is Part Of: Journal of geophysical research. Volume 119:Issue 2(2014:Jun.)
• Page Start: 141
• Page End: 162
• Publication Date: 2014-02-15
• Subjects: Geobiology -- Periodicals; Biogeochemistry -- Periodicals; Biotic communities -- Periodicals; Geophysics -- Periodicals; 577.14
• DOI: 10.1002/2013JG002381
• Languages: English
• ISSNs: 2169-8953

Abstract

<abstract abstract-type="main" id="jgrg20158-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p id="jgrg20158-para-0002">The strength of feedbacks between a changing climate and future CO<sub>2</sub> concentrations is uncertain and difficult to predict using Earth System Models (ESMs). We analyzed emission‐driven simulations—in which atmospheric CO<sub>2</sub>levels were computed prognostically—for historical (1850–2005) and future periods (Representative Concentration Pathway (RCP) 8.5 for 2006–2100) produced by 15 ESMs for the Fifth Phase of the Coupled Model Intercomparison Project (CMIP5). Comparison of ESM prognostic atmospheric CO<sub>2</sub> over the historical period with observations indicated that ESMs, on average, had a small positive bias in predictions of contemporary atmospheric CO<sub>2</sub>. Weak ocean carbon uptake in many ESMs contributed to this bias, based on comparisons with observations of ocean and atmospheric anthropogenic carbon inventories. We found a significant linear relationship between contemporary atmospheric CO<sub>2</sub> biases and future CO<sub>2</sub>levels for the multimodel ensemble. We used this relationship to create a contemporary CO<sub>2</sub> tuned model (CCTM) estimate of the atmospheric CO<sub>2</sub> trajectory for the 21st century. The CCTM yielded CO<sub>2</sub>estimates of 600±14 ppm at 2060 and 947±35 ppm at 2100, which were 21 ppm and 32 ppm below the multimodel mean during these two time periods. Using this emergent constraint approach, the likely ranges of future atmospheric CO<sub>2</sub>, CO<sub>2</sub>‐induced radiative forcing, and CO<sub>2</sub>‐induced temperature increases for the RCP 8.5 scenario were considerably narrowed compared to estimates from the full ESM ensemble. Our analysis provided evidence that much of the model‐to‐model variation in projected CO<sub>2</sub> during the 21st century was tied to biases that existed during the observational era and that model differences in the representation of concentration‐carbon feedbacks and other slowly changing carbon cycle processes appear to be the primary driver of this variability. By improving models to more closely match the long‐term time series of CO<sub>2</sub>from Mauna Loa, our analysis suggests that uncertainties in future climate projections can be reduced.</p> </abstract>