@article{21900e518cba43be892da3e80b69beb6,
title = "RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections",
abstract = "Projections of future carbon sinks and stocks are important because they show how the world's ecosystems will respond to elevated CO2 and changes in climate. Moreover, they are crucial to inform policy decisions around emissions reductions to stay within the global warming levels identified by the Paris Agreement. However, Earth System Models from the 6th Coupled Model Intercomparison Project (CMIP6) show substantial spread in future projections—especially of the terrestrial carbon cycle, leading to a large uncertainty in our knowledge of any remaining carbon budget (RCB). Here we evaluate the global terrestrial carbon cycle projections on a region-by-region basis and compare the global models with regional assessments made by the REgional Carbon Cycle Assessment and Processes, Phase 2 activity. Results show that for each region, the CMIP6 multi-model mean is generally consistent with the regional assessment, but substantial cross-model spread exists. Nonetheless, all models perform well in some regions and no region is without some well performing models. This gives confidence that the CMIP6 models can be used to look at future changes in carbon stocks on a regional basis with appropriate model assessment and benchmarking. We find that most regions of the world remain cumulative net sources of CO2 between now and 2100 when considering the balance of fossil-fuels and natural sinks, even under aggressive mitigation scenarios. This paper identifies strengths and weaknesses for each model in terms of its performance over a particular region including how process representation might impact those results and sets the agenda for applying stricter constraints at regional scales to reduce the uncertainty in global projections.",
keywords = "Earth system, carbon cycle",
author = "Jones, {Chris D.} and Tilo Ziehn and Jatin Anand and Ana Bastos and Eleanor Burke and Canadell, {Josep G.} and Manoel Cardoso and Yolandi Ernst and Jain, {Atul K.} and Sujong Jeong and Keller, {Elizabeth D.} and Masayuki Kondo and Ronny Lauerwald and Lin, {Tzu Shun} and Guillermo Murray-Tortarolo and Nabuurs, {Gert Jan} and Mike O{\textquoteright}Sullivan and Ben Poulter and Xiaoyu Qin and {von Randow}, Celso and Marcos Sanches and Dmitry Schepaschenko and Anatoly Shvidenko and Smallman, {T. Luke} and Hanqin Tian and Yohanna Villalobos and Xuhui Wang and Jeongmin Yun",
note = "We acknowledge the World Climate Research Programme, which coordinated and promoted CMIP6 through its Working Group on Coupled Modeling. We thank the various climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF; URL, https://esgf-node.llnl.gov/search/cmip6/). CDJ and EB were supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101) and also the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101003536 (ESM2025\u2014ESMs for the Future). EDK was supported by funding from the Government of New Zealand under the CarbonWatch-NZ Endeavour Research Programme (#C01X1817). GMT would like to thank the Universidad Nacional Aut\u00F3noma de M\u00E9xico for their support through project: DGAPA PAPIIT IA-200722. TZ receives funding from the Australian Government under the National Environmental Science Program. MC acknowledges the support from the Sa\u0303o Paulo Research Foundation (FAPESP, Brazil, Grants 2015/50122-0 and 2017/22269-2). HT acknowledges the support from US National Science Foundation (Grant 1903722) and Andrew Carnegie Fellow Program (award no. G-F-19-56910). CvR acknowledges support from Sa\u0303o Paulo Research Foundation (FAPESP, Brazil, Grant 2020/15230-5) and CNPq (# 314780/2020-3). GJN was supported by the European Union's H2020 Verify: Grant agreement 776810, and H2020 Resonate: Grant agreement 101000574. SJ was supported by Korea Environment Industry & Technology Institute (KEITI) through Project for developing an observation-based GHG emissions geospatial information map, funded by Korea Ministry of Environment (RS-2023-00232066). TLS is supported by the UK National Centre for Earth Observation funded by the Natural Environment Research Council (NE/R016518/1 and NE/N018079/1). The CARDAMOM analyses made use of resources provided by the Edinburgh Compute and Data Facility (EDCF) (http://www.ecdf.ed.ac.uk). JY contribution to this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract to NASA (80NM0018D0004). We thank Seetharaman Seshadri for his involvement in the analysis of the models and data products used here for the South Asia region. We acknowledge the World Climate Research Programme, which coordinated and promoted CMIP6 through its Working Group on Coupled Modeling. We thank the various climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF; URL, https://esgf-node.llnl.gov/search/cmip6/ ). CDJ and EB were supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101) and also the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101003536 (ESM2025\u2014ESMs for the Future). EDK was supported by funding from the Government of New Zealand under the CarbonWatch\u2010NZ Endeavour Research Programme (#C01X1817). GMT would like to thank the Universidad Nacional Aut\u00F3noma de M\u00E9xico for their support through project: DGAPA PAPIIT IA\u2010200722. TZ receives funding from the Australian Government under the National Environmental Science Program. MC acknowledges the support from the Sa\u0303o Paulo Research Foundation (FAPESP, Brazil, Grants 2015/50122\u20100 and 2017/22269\u20102). HT acknowledges the support from US National Science Foundation (Grant 1903722) and Andrew Carnegie Fellow Program (award no. G\u2010F\u201019\u201056910). CvR acknowledges support from Sa\u0303o Paulo Research Foundation (FAPESP, Brazil, Grant 2020/15230\u20105) and CNPq (# 314780/2020\u20103). GJN was supported by the European Union's H2020 Verify: Grant agreement 776810, and H2020 Resonate: Grant agreement 101000574. SJ was supported by Korea Environment Industry & Technology Institute (KEITI) through Project for developing an observation\u2010based GHG emissions geospatial information map, funded by Korea Ministry of Environment (RS\u20102023\u201000232066). TLS is supported by the UK National Centre for Earth Observation funded by the Natural Environment Research Council (NE/R016518/1 and NE/N018079/1). The CARDAMOM analyses made use of resources provided by the Edinburgh Compute and Data Facility (EDCF) ( http://www.ecdf.ed.ac.uk ). JY contribution to this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract to NASA (80NM0018D0004). We thank Seetharaman Seshadri for his involvement in the analysis of the models and data products used here for the South Asia region.",
year = "2023",
month = dec,
doi = "10.1029/2023AV001024",
language = "English (US)",
volume = "4",
journal = "AGU Advances",
issn = "2576-604X",
publisher = "John Wiley & Sons, Ltd.",
number = "6",
}