Articles | Volume 13, issue 8
https://doi.org/10.5194/bg-13-2339-2016
https://doi.org/10.5194/bg-13-2339-2016
Research article
 | 
21 Apr 2016
Research article |  | 21 Apr 2016

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

Jun Wang, Ning Zeng, and Meirong Wang

Related authors

The role of OCO-3 XCO2 retrievals in estimating global terrestrial net ecosystem exchanges
Xingyu Wang, Fei Jiang, Hengmao Wang, Zhengqi Zhang, Mousong Wu, Jun Wang, Wei He, Weimin Ju, and Jingming Chen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1568,https://doi.org/10.5194/egusphere-2024-1568, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Distinct Impacts of El Niño-Southern Oscillation and Indian Ocean Dipole on China’s Gross Primary Production
Ran Yan, Jun Wang, Weimin Ju, Xiuli Xing, Miao Yu, Meirong Wang, Jingye Tan, Xunmei Wang, Hengmao Wang, and Fei Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1250,https://doi.org/10.5194/egusphere-2024-1250, 2024
Short summary
Assimilation of Carbonyl Sulfide (COS) fluxes within the adjoint-based data assimilation system–Nanjing University Carbon Assimilation System (NUCAS v1.0)
Huajie Zhu, Mousong Wu, Fei Jiang, Michael Vossbeck, Thomas Kaminski, Xiuli Xing, Jun Wang, Weimin Ju, and Jing M. Chen
EGUsphere, https://doi.org/10.5194/egusphere-2023-1955,https://doi.org/10.5194/egusphere-2023-1955, 2023
Short summary
A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021)
Fei Jiang, Weimin Ju, Wei He, Mousong Wu, Hengmao Wang, Jun Wang, Mengwei Jia, Shuzhuang Feng, Lingyu Zhang, and Jing M. Chen
Earth Syst. Sci. Data, 14, 3013–3037, https://doi.org/10.5194/essd-14-3013-2022,https://doi.org/10.5194/essd-14-3013-2022, 2022
Short summary
Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products
Ruqi Yang, Jun Wang, Ning Zeng, Stephen Sitch, Wenhan Tang, Matthew Joseph McGrath, Qixiang Cai, Di Liu, Danica Lombardozzi, Hanqin Tian, Atul K. Jain, and Pengfei Han
Earth Syst. Dynam., 13, 833–849, https://doi.org/10.5194/esd-13-833-2022,https://doi.org/10.5194/esd-13-833-2022, 2022
Short summary

Related subject area

Biogeochemistry: Modelling, Terrestrial
Integration of tree hydraulic processes and functional impairment to capture the drought resilience of a semiarid pine forest
Daniel Nadal-Sala, Rüdiger Grote, David Kraus, Uri Hochberg, Tamir Klein, Yael Wagner, Fedor Tatarinov, Dan Yakir, and Nadine K. Ruehr
Biogeosciences, 21, 2973–2994, https://doi.org/10.5194/bg-21-2973-2024,https://doi.org/10.5194/bg-21-2973-2024, 2024
Short summary
The effect of temperature on photosystem II efficiency across plant functional types and climate
Patrick Neri, Lianhong Gu, and Yang Song
Biogeosciences, 21, 2731–2758, https://doi.org/10.5194/bg-21-2731-2024,https://doi.org/10.5194/bg-21-2731-2024, 2024
Short summary
Modeling microbial carbon fluxes and stocks in global soils from 1901 to 2016
Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu
Biogeosciences, 21, 2313–2333, https://doi.org/10.5194/bg-21-2313-2024,https://doi.org/10.5194/bg-21-2313-2024, 2024
Short summary
Elevated atmospheric CO2 concentration and vegetation structural changes contributed to gross primary productivity increase more than climate and forest cover changes in subtropical forests of China
Tao Chen, Félicien Meunier, Marc Peaucelle, Guoping Tang, Ye Yuan, and Hans Verbeeck
Biogeosciences, 21, 2253–2272, https://doi.org/10.5194/bg-21-2253-2024,https://doi.org/10.5194/bg-21-2253-2024, 2024
Short summary
Non-steady-state stomatal conductance modeling and its implications: from leaf to ecosystem
Ke Liu, Yujie Wang, Troy S. Magney, and Christian Frankenberg
Biogeosciences, 21, 1501–1516, https://doi.org/10.5194/bg-21-1501-2024,https://doi.org/10.5194/bg-21-1501-2024, 2024
Short summary

Cited articles

Bacastow, R. B. : Modulation of atmospheric carbon dioxide by the Southern Oscillation, Nature, 261, 116–118, 1976.
Balzter, H., Gerard, F. F., George, C. T., Rowland, C. S., Jupp, T. E., McCallum, I., Shvidenko, A., Nilsson, S., Sukkinin, A., Onuchin, A., and Schmullius, C.: Impact of the Arctic Oscillation pattern on interannual forest fire variability in Central Siberia, Geophys. Res. Lett., 32, L14709, https://doi.org/10.1029/2005gl022526, 2005.
Bonan, G. B. and Levis S.: Quantifying carbon-nitrogen feedbacks in the Community Land Model (CLM4), Geophys. Res. Lett., 37, L07401, https://doi.org/10.1029/2010GL042430, 2010.
Bousquet, P., Peylin, P., Ciais, P., Le Quèrè, C., Friedlingstein, P., and Tans, P. P.: Regional changes in carbon dioxide fluxes of land and oceans since 1980, Science, 290, 1342–1346, 2000.
Download
Short summary
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.
Altmetrics
Final-revised paper
Preprint