Increased Atmospheric CO₂ Growth Rate during El Niño Driven by Reduced Terrestrial Productivity in the CMIP5 ESMs

Better understanding of factors that control the global carbon cycle could increase confidence in climate projections. Previous studies found good correlation between the growth rate of atmospheric CO₂ concentration and El Niño–Southern Oscillation (ENSO). The growth rate of atmospheric CO₂ increase...

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Veröffentlicht in:Journal of climate 2016-12, Vol.29 (24), p.8783-8805
Hauptverfasser: Kim, Jin-Soo, Kug, Jong-Seong, Yoon, Jin-Ho, Jeong, Su-Jong
Format: Artikel
Sprache:eng
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Zusammenfassung:Better understanding of factors that control the global carbon cycle could increase confidence in climate projections. Previous studies found good correlation between the growth rate of atmospheric CO₂ concentration and El Niño–Southern Oscillation (ENSO). The growth rate of atmospheric CO₂ increases during El Niño but decreases during La Niña. In this study, long-term simulations of the Earth system models (ESMs) in phase 5 of the Coupled Model Intercomparison Project archive were used to examine the interannual carbon flux variability associated with ENSO. The ESMs simulate the relationship reasonably well with a delay of several months between ENSO and the changes in atmospheric CO₂. The increase in atmospheric CO₂ associated with El Niño is mostly caused by decreasing net primary production (NPP) in the ESMs. It is suggested that NPP anomalies over South Asia are at their maxima during boreal spring; therefore, the increase in CO₂ concentration lags 4–5 months behind the peak phase of El Niño. The decrease in NPP during El Niño may be caused by decreased precipitation and increased temperature over tropical regions. Furthermore, systematic errors may exist in the ESM-simulated temperature responses to ENSO phases over tropical land areas, and these errors may lead to an overestimation of ENSO-related NPP anomalies. In contrast, carbon fluxes from heterotrophic respiration and natural fires are likely underestimated in the ESMs compared with offline model results and observational estimates, respectively. These uncertainties should be considered in long-term projections that include climate–carbon feedbacks.
ISSN:0894-8755
1520-0442
DOI:10.1175/jcli-d-14-00672.1