Articles | Volume 17, issue 24
https://doi.org/10.5194/bg-17-6393-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-6393-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Dec 2020
Research article |
| 17 Dec 2020
| 17 Dec 2020
Lagged effects regulate the inter-annual variability of the tropical carbon balance
A. Anthony Bloom
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Kevin W. Bowman
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Junjie Liu
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Alexandra G. Konings
Department of Earth System Science, Stanford University, Stanford, CA
94305, USA
John R. Worden
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Nicholas C. Parazoo
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Victoria Meyer
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
John T. Reager
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Helen M. Worden
National Center for Atmospheric Research, Boulder, CO 80301, USA
Zhe Jiang
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Gregory R. Quetin
Department of Earth System Science, Stanford University, Stanford, CA
94305, USA
T. Luke Smallman
School of Geosciences, University of Edinburgh, Edinburgh, EH9 3FF,
United Kingdom
National Centre for Earth Observation, Edinburgh EH9 3FF, United
Kingdom
Jean-François Exbrayat
School of Geosciences, University of Edinburgh, Edinburgh, EH9 3FF,
United Kingdom
National Centre for Earth Observation, Edinburgh EH9 3FF, United
Kingdom
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Sassan S. Saatchi
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
Mathew Williams
School of Geosciences, University of Edinburgh, Edinburgh, EH9 3FF,
United Kingdom
National Centre for Earth Observation, Edinburgh EH9 3FF, United
Kingdom
David S. Schimel
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91101, USA
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- Seasonal and Inter-Annual Variations of Carbon Dioxide Fluxes and Their Determinants in an Alpine Meadow S. Wang et al. 10.3389/fpls.2022.894398
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
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- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
26 citations as recorded by crossref.
- From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al. 10.3389/ffgc.2021.818661
- Climate Drives Modeled Forest Carbon Cycling Resistance and Resilience in the Upper Great Lakes Region, USA K. Dorheim et al. 10.1029/2021JG006587
- Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework S. Stettz et al. 10.5194/bg-19-541-2022
- Attributing Past Carbon Fluxes to CO2 and Climate Change: Respiration Response to CO2 Fertilization Shifts Regional Distribution of the Carbon Sink G. Quetin et al. 10.1029/2022GB007478
- Covariation of Airborne Biogenic Tracers (CO2, COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US N. Parazoo et al. 10.1029/2021GB006956
- Amazonian terrestrial water balance inferred from satellite-observed water vapor isotopes M. Shi et al. 10.1038/s41467-022-30317-4
- Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7 H. Peiro et al. 10.5194/acp-22-1097-2022
- Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
- Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
- Attribution of Space‐Time Variability in Global‐Ocean Dissolved Inorganic Carbon D. Carroll et al. 10.1029/2021GB007162
- Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
- A joint framework for studying compound ecoclimatic events A. Bastos et al. 10.1038/s43017-023-00410-3
- Accurate Simulation of Both Sensitivity and Variability for Amazonian Photosynthesis: Is It Too Much to Ask? S. Gallup et al. 10.1029/2021MS002555
- Emergent constraints on tropical atmospheric aridity—carbon feedbacks and the future of carbon sequestration A. Barkhordarian et al. 10.1088/1748-9326/ac2ce8
- Importance of the memory effect for assessing interannual variation in net ecosystem exchange W. Liu et al. 10.1016/j.agrformet.2023.109691
- Changes in global terrestrial live biomass over the 21st century L. Xu et al. 10.1126/sciadv.abe9829
- Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints C. DiMaria et al. 10.1029/2022JD037822
- Interannual and Seasonal Drivers of Carbon Cycle Variability Represented by the Community Earth System Model (CESM2) W. Wieder et al. 10.1029/2021GB007034
- Climate-growth relations of congeneric tree species vary across a tropical vegetation gradient in Brazil J. Aragão et al. 10.1016/j.dendro.2021.125913
- Seasonal and Inter-Annual Variations of Carbon Dioxide Fluxes and Their Determinants in an Alpine Meadow S. Wang et al. 10.3389/fpls.2022.894398
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
- CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al. 10.5194/gmd-15-1789-2022
- Resolving the Carbon‐Climate Feedback Potential of Wetland CO2 and CH4 Fluxes in Alaska S. Ma et al. 10.1029/2022GB007524
- Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al. 10.1029/2023GB007702
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
Latest update: 25 Apr 2024
Short summary
We use a model of the 2001–2015 tropical land carbon cycle, with satellite measurements of land and atmospheric carbon, to disentangle lagged and concurrent effects (due to past and concurrent meteorological events, respectively) on annual land–atmosphere carbon exchanges. The variability of lagged effects explains most 2001–2015 inter-annual carbon flux variations. We conclude that concurrent and lagged effects need to be accurately resolved to better predict the world's land carbon sink.
We use a model of the 2001–2015 tropical land carbon cycle, with satellite measurements of land...
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