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Decadal trends in the ocean carbon sink ArchiMer
Devries, Tim; Le Quere, Corinne; Andrews, Oliver; Berthet, Sarah; Hauck, Judith; Ilyina, Tatiana; Landschuetzer, Peter; Lenton, Andrew; Lima, Ivan D.; Nowicki, Michael; Schwinger, Jorg; Seferian, Roland.
Measurements show large decadal variability in the rate of CO2 accumulation in the atmosphere that is not driven by CO2 emissions. The decade of the 1990s experienced enhanced carbon accumulation in the atmosphere relative to emissions, while in the 2000s, the atmospheric growth rate slowed, even though emissions grew rapidly. These variations are driven by natural sources and sinks of CO2 due to the ocean and the terrestrial biosphere. In this study, we compare three independent methods for estimating oceanic CO2 uptake and find that the ocean carbon sink could be responsible for up to 40% of the observed decadal variability in atmospheric CO2 accumulation. Data-based estimates of the ocean carbon sink from pCO(2) mapping methods and decadal ocean inverse...
Tipo: Text Palavras-chave: Carbon dioxide; Ocean carbon sink; Terrestrial carbon sink; Climate variability; Carbon budget.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00675/78728/80983.pdf
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ESMValTool (v1.0) - a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP ArchiMer
Eyring, Veronika; Righi, Mattia; Lauer, Axel; Evaldsson, Martin; Wenzel, Sabrina; Jones, Colin; Anav, Alessandro; Andrews, Oliver; Cionni, Irene; Davin, Edouard L.; Deser, Clara; Ehbrecht, Carsten; Friedlingstein, Pierre; Gleckler, Peter; Gottschaldt, Klaus-dirk; Hagemann, Stefan; Juckes, Martin; Kindermann, Stephan; Krasting, John; Kunert, Dominik; Levine, Richard; Loew, Alexander; Maekelae, Jarmo; Martin, Gill; Mason, Erik; Phillips, Adam S.; Read, Simon; Rio, Catherine; Roehrig, Romain; Senftleben, Daniel; Sterl, Andreas; Van Ulft, Lambertus H.; Walton, Jeremy; Wang, Shiyu; Williams, Keith D..
A community diagnostics and performance metrics tool for the evaluation of Earth system models (ESMs) has been developed that allows for routine comparison of single or multiple models, either against predecessor versions or against observations. The priority of the effort so far has been to target specific scientific themes focusing on selected essential climate variables (ECVs), a range of known systematic biases common to ESMs, such as coupled tropical climate variability, monsoons, Southern Ocean processes, continental dry biases, and soil hydrology-climate interactions, as well as atmospheric CO2 budgets, tropospheric and stratospheric ozone, and tropospheric aerosols. The tool is being developed in such a way that additional analyses can easily be...
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Ano: 2016 URL: https://archimer.ifremer.fr/doc/00383/49428/49862.pdf
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