1
|
Wang K, Wang Y, Wang X, He Y, Li X, Keeling RF, Ciais P, Heimann M, Peng S, Chevallier F, Friedlingstein P, Sitch S, Buermann W, Arora VK, Haverd V, Jain AK, Kato E, Lienert S, Lombardozzi D, Nabel JEMS, Poulter B, Vuichard N, Wiltshire A, Zeng N, Zhu D, Piao S. Causes of slowing-down seasonal CO 2 amplitude at Mauna Loa. Glob Chang Biol 2020; 26:4462-4477. [PMID: 32415896 DOI: 10.1111/gcb.15162] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 03/23/2020] [Accepted: 05/06/2020] [Indexed: 05/27/2023]
Abstract
Changing amplitude of the seasonal cycle of atmospheric CO2 (SCA) in the northern hemisphere is an emerging carbon cycle property. Mauna Loa (MLO) station (20°N, 156°W), which has the longest continuous northern hemisphere CO2 record, shows an increasing SCA before the 1980s (p < .01), followed by no significant change thereafter. We analyzed the potential driving factors of SCA slowing-down, with an ensemble of dynamic global vegetation models (DGVMs) coupled with an atmospheric transport model. We found that slowing-down of SCA at MLO is primarily explained by response of net biome productivity (NBP) to climate change, and by changes in atmospheric circulations. Through NBP, climate change increases SCA at MLO before the 1980s and decreases it afterwards. The effect of climate change on the slowing-down of SCA at MLO is mainly exerted by intensified drought stress acting to offset the acceleration driven by CO2 fertilization. This challenges the view that CO2 fertilization is the dominant cause of emergent SCA trends at northern sites south of 40°N. The contribution of agricultural intensification on the deceleration of SCA at MLO was elusive according to land-atmosphere CO2 flux estimated by DGVMs and atmospheric inversions. Our results also show the necessity to adequately account for changing circulation patterns in understanding carbon cycle dynamics observed from atmospheric observations and in using these observations to benchmark DGVMs.
Collapse
Affiliation(s)
- Kai Wang
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Yilong Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Xuhui Wang
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Yue He
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Xiangyi Li
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Ralph F Keeling
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA
| | - Philippe Ciais
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Martin Heimann
- Max Planck Institute for Biogeochemistry, Jena, Germany
- Institute for Atmospheric and Earth System Research (INAR), Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Shushi Peng
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Frédéric Chevallier
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Pierre Friedlingstein
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Wolfgang Buermann
- Institute of Geography, Augsburg University, Augsburg, Germany
- Institute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA, USA
| | - Vivek K Arora
- Canadian Centre for Climate Modelling and Analysis, Environment Canada, University of Victoria, Victoria, BC, Canada
| | | | - Atul K Jain
- Department of Atmospheric Sciences, University of Illinois, Urbana, IL, USA
| | | | - Sebastian Lienert
- Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Danica Lombardozzi
- National Center for Atmospheric Research, Climate and Global Dynamics, Terrestrial Sciences Section, Boulder, CO, USA
| | | | - Benjamin Poulter
- NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, USA
| | - Nicolas Vuichard
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | | | - Ning Zeng
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
| | - Dan Zhu
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Shilong Piao
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
2
|
Betts RA, Jones CD, Knight JR, Keeling RF, Kennedy JJ, Wiltshire AJ, Andrew RM, Aragão LEOC. A successful prediction of the record CO 2 rise associated with the 2015/2016 El Niño. Philos Trans R Soc Lond B Biol Sci 2018; 373:rstb.2017.0301. [PMID: 30297462 PMCID: PMC6178439 DOI: 10.1098/rstb.2017.0301] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2018] [Indexed: 11/12/2022] Open
Abstract
In early 2016, we predicted that the annual rise in carbon dioxide concentration at Mauna Loa would be the largest on record. Our forecast used a statistical relationship between observed and forecast sea surface temperatures in the Niño 3.4 region and the annual CO2 rise. Here, we provide a formal verification of that forecast. The observed rise of 3.4 ppm relative to 2015 was within the forecast range of 3.15 ± 0.53 ppm, so the prediction was successful. A global terrestrial biosphere model supports the expectation that the El Niño weakened the tropical land carbon sink. We estimate that the El Niño contributed approximately 25% to the record rise in CO2, with 75% due to anthropogenic emissions. The 2015/2016 CO2 rise was greater than that following the previous large El Niño in 1997/1998, because anthropogenic emissions had increased. We had also correctly predicted that 2016 would be the first year with monthly mean CO2 above 400 ppm all year round. We now estimate that atmospheric CO2 at Mauna Loa would have remained above 400 ppm all year round in 2016 even if the El Niño had not occurred, contrary to our previous expectations based on a simple extrapolation of previous trends.This article is part of a discussion meeting issue 'The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.
Collapse
Affiliation(s)
- Richard A Betts
- Met Office Hadley Centre, Exeter, UK .,Global Systems Institute, University of Exeter, Exeter EX4 4QE, UK
| | | | | | - Ralph F Keeling
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | | | | | - Robbie M Andrew
- CICERO Center for International Climate Research, Oslo, Norway
| | - Luiz E O C Aragão
- National Institute for Space Research, Remote Sensing Division, Av. Dos Astronautas 1758, Jardim da Granja, São José dos Campos 12.227-010, Brazil.,College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QF, UK
| |
Collapse
|