Articles | Volume 9, issue 1
https://doi.org/10.5194/esd-9-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-9-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Jan 2018
Research article |
| 11 Jan 2018
Contrasting terrestrial carbon cycle responses to the 1997/98 and 2015/16 extreme El Niño events
International Institute for Earth System Science, Nanjing University, Nanjing, China
State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Beijing, China
Ning Zeng
State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Beijing, China
Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Meirong Wang
Joint Center for Data Assimilation Research and Applications/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing, China
Fei Jiang
International Institute for Earth System Science, Nanjing University, Nanjing, China
Hengmao Wang
International Institute for Earth System Science, Nanjing University, Nanjing, China
Ziqiang Jiang
International Institute for Earth System Science, Nanjing University, Nanjing, China
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- The responses of ecological indicators to compound extreme climate indices in Southwestern China Q. Lu et al. 10.1016/j.ecolind.2023.111253
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25 citations as recorded by crossref.
- 季节补偿效应导致<bold>2015/2016</bold>厄尔尼诺期间北半球未发生明显的碳汇降低 芳. 石 et al. 10.1360/N072022-0023
- Modulation of Land Photosynthesis by the Indian Ocean Dipole: Satellite‐Based Observations and CMIP6 Future Projections J. Wang et al. 10.1029/2020EF001942
- El Niño‐Southern Oscillation‐Induced Variability of Terrestrial Gross Primary Production During the Satellite Era Y. Zhang et al. 10.1029/2019JG005117
- Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux J. Wang et al. 10.1029/2023GL103379
- Changes in biogenic volatile organic compound emissions in response to the El Niño–Southern Oscillation R. Vella et al. 10.5194/bg-20-4391-2023
- Quantifying immediate carbon emissions from El Niño-mediated wildfires in humid tropical forests K. Withey et al. 10.1098/rstb.2017.0312
- Short-term effects of drought on tropical forest do not fully predict impacts of repeated or long-term drought: gas exchange versus growth P. Meir et al. 10.1098/rstb.2017.0311
- Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
- Seasonal compensation implied no weakening of the land carbon sink in the Northern Hemisphere under the 2015/2016 El Niño F. Shi et al. 10.1007/s11430-022-1224-1
- Unusual characteristics of the carbon cycle during the 2015−2016 El Niño K. Wang et al. 10.1111/gcb.15669
- Negative effects of heat stress on maize yield were compensated by increasing thermal time and declining cold stress in northeast China Y. Zhang et al. 10.1007/s00484-022-02363-6
- Contrasting interannual atmospheric CO<sub>2</sub> variabilities and their terrestrial mechanisms for two types of El Niños J. Wang et al. 10.5194/acp-18-10333-2018
- The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing X. Luo et al. 10.1098/rstb.2017.0409
- CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
- Response of terrestrial net primary production to climate change associated with the quadrupling CO2 forcing in CMIP6 models J. Zhu et al. 10.1002/asl.1098
- Response of Tropical Terrestrial Gross Primary Production to the Super El Niño Event in 2015 J. Zhu et al. 10.1029/2018JG004571
- The responses of ecological indicators to compound extreme climate indices in Southwestern China Q. Lu et al. 10.1016/j.ecolind.2023.111253
- Linkage between tropical terrestrial carbon cycle and precipitation: The two anomalous years of 1979 and 1996 J. Zhu et al. 10.1002/asl.876
- Global Carbon Budget Study using Global Carbon Cycle Model O. Kwon & J. Jung 10.5322/JESI.2018.27.12.1169
- Response of Growing Season Gross Primary Production to El Niño in Different Phases of the Pacific Decadal Oscillation over Eastern China Based on Bayesian Model Averaging Y. Li et al. 10.1007/s00376-021-0265-1
- Enhanced India‐Africa Carbon Uptake and Asia‐Pacific Carbon Release Associated With the 2019 Extreme Positive Indian Ocean Dipole J. Wang et al. 10.1029/2022GL100950
- Role of Local Air‐Sea Interaction in Fire Activity Over Equatorial Asia J. Kim et al. 10.1029/2019GL085943
- Considerable Uncertainties in Simulating Land Carbon Sinks Induced by Different Precipitation Products M. Wang et al. 10.1029/2021JG006524
- Interactive effects of the El Niño-Southern Oscillation and Indian Ocean Dipole on the tropical net ecosystem productivity R. Yan et al. 10.1016/j.agrformet.2023.109472
- Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires J. Wang et al. 10.1088/1748-9326/abc846
Saved (preprint)
Latest update: 18 Apr 2024
Short summary
Behaviors of terrestrial ecosystems differ in different El Niños. We analyze terrestrial carbon cycle responses to two extreme El Niños (2015/16 and 1997/98), and find large differences. We find that global land–atmosphere carbon flux anomaly was about 2 times smaller in 2015/16 than in 1997/98 event, without the obvious lagged response. Then we illustrate the climatic and biological mechanisms of the different terrestrial carbon cycle responses in 2015/16 and 1997/98 El Niños regionally.
Behaviors of terrestrial ecosystems differ in different El Niños. We analyze terrestrial carbon...
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