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Volume 13, issue 8
Biogeosciences, 13, 2339–2352, 2016
https://doi.org/10.5194/bg-13-2339-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 2339–2352, 2016
https://doi.org/10.5194/bg-13-2339-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 Apr 2016

Research article | 21 Apr 2016

Interannual variability of the atmospheric CO2 growth rate: roles of precipitation and temperature

Jun Wang1,2, Ning Zeng2,3, and Meirong Wang4 Jun Wang et al.
  • 1International Institute for Earth System Science, Nanjing University, Nanjing, China
  • 2Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 3Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
  • 4Nanjing University of Information Science & Technology, Nanjing, China

Abstract. The interannual variability (IAV) in atmospheric CO2 growth rate (CGR) is closely connected with the El Niño–Southern Oscillation. However, sensitivities of CGR to temperature and precipitation remain largely uncertain. This paper analyzed the relationship between Mauna Loa CGR and tropical land climatic elements. We find that Mauna Loa CGR lags precipitation by 4 months with a correlation coefficient of −0.63, leads temperature by 1 month (0.77), and correlates with soil moisture (−0.65) with zero lag. Additionally, precipitation and temperature are highly correlated (−0.66), with precipitation leading by 4–5 months. Regression analysis shows that sensitivities of Mauna Loa CGR to temperature and precipitation are 2.92 ± 0.20 PgC yr−1 K−1 and −0.46 ± 0.07 PgC yr−1 100 mm−1, respectively. Unlike some recent suggestions, these empirical relationships favor neither temperature nor precipitation as the dominant factor of CGR IAV. We further analyzed seven terrestrial carbon cycle models, from the TRENDY project, to study the processes underlying CGR IAV. All models capture well the IAV of tropical land–atmosphere carbon flux (CFTA). Sensitivities of the ensemble mean CFTA to temperature and precipitation are 3.18 ± 0.11 PgC yr−1 K−1 and −0.67 ± 0.04 PgC yr−1 100 mm−1, close to Mauna Loa CGR. Importantly, the models consistently show the variability in net primary productivity (NPP) dominates CGR, rather than heterotrophic respiration. Because previous studies have proved that NPP is largely driven by precipitation in tropics, it suggests a key role of precipitation in CGR IAV despite the higher CGR correlation with temperature. Understanding the relative contribution of CO2 sensitivity to precipitation and temperature has important implications for future carbon-climate feedback using such ''emergent constraint''.

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Relative contribution from precipitation and temperature to interannual variability (IAV) of atmospheric CO2 growth rate (CGR) remains uncertain. We found that CGR IAV has a slightly higher correlation coefficient with temperature than precipitation. However, Trendy models can well simulate the IAV and consistently show net primary production dominates it. These mechanistic analyses suggest a key role of precipitation in CGR IAV despite the higher CGR correlation with temperature.
Relative contribution from precipitation and temperature to interannual variability (IAV) of...
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