globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015MS000463
Scopus记录号: 2-s2.0-84959463420
论文题名:
Complex functionality with minimal computation: Promise and pitfalls of reduced-tracer ocean biogeochemistry models
作者: Galbraith E; D; , Dunne J; P; , Gnanadesikan A; , Slater R; D; , Sarmiento J; L; , Dufour C; O; , De Souza G; F; , Bianchi D; , Claret M; , Rodgers K; B; , Marvasti S; S
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期:4
起始页码: 2012
结束页码: 2028
语种: 英语
英文关键词: Biogeochemistry ; Carbon dioxide ; Climate change ; Dissolved oxygen ; Earth (planet) ; Ecology ; Economic and social effects ; Ecosystems ; Forestry ; Models ; Nutrients ; Oceanography ; Oxygen ; Silicate minerals ; Topaz ; Anthropogenic changes ; Biogeochemical models ; Biological productivity ; Climate ; Computational resources ; Coupled climate model ; Development and applications ; Ocean biogeochemistry models ; Climate models ; anthropogenic effect ; biogeochemistry ; biological production ; biomass ; carbon dioxide ; carbon sequestration ; climate change ; climate modeling ; ecosystem dynamics ; marine ecosystem ; nutrient ; organic matter ; oxygen ; parameterization ; tracer
英文摘要: Earth System Models increasingly include ocean biogeochemistry models in order to predict changes in ocean carbon storage, hypoxia, and biological productivity under climate change. However, state-of-the-art ocean biogeochemical models include many advected tracers, that significantly increase the computational resources required, forcing a trade-off with spatial resolution. Here, we compare a state-of-the art model with 30 prognostic tracers (TOPAZ) with two reduced-tracer models, one with 6 tracers (BLING), and the other with 3 tracers (miniBLING). The reduced-tracer models employ parameterized, implicit biological functions, which nonetheless capture many of the most important processes resolved by TOPAZ. All three are embedded in the same coupled climate model. Despite the large difference in tracer number, the absence of tracers for living organic matter is shown to have a minimal impact on the transport of nutrient elements, and the three models produce similar mean annual preindustrial distributions of macronutrients, oxygen, and carbon. Significant differences do exist among the models, in particular the seasonal cycle of biomass and export production, but it does not appear that these are necessary consequences of the reduced tracer number. With increasing CO2, changes in dissolved oxygen and anthropogenic carbon uptake are very similar across the different models. Thus, while the reduced-tracer models do not explicitly resolve the diversity and internal dynamics of marine ecosystems, we demonstrate that such models are applicable to a broad suite of major biogeochemical concerns, including anthropogenic change. These results are very promising for the further development and application of reduced-tracer biogeochemical models that incorporate "sub-ecosystem-scale" parameterizations. © 2015. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75962
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Institucio Catalana de Recerca i Estudis Avancats-Institut de Ciencia i Tecnologia Ambientals, Universitat Autonoma de Barcelona, Bellaterra, Barcelona, Spain; Department of Earth and Planetary Science, McGill University, Montreal, QC, Canada; NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, United States; Atmospheric and Oceanic Science Program, Princeton University, Princeton, NJ, United States; Department of Marine Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, United States

Recommended Citation:
Galbraith E,D,, Dunne J,et al. Complex functionality with minimal computation: Promise and pitfalls of reduced-tracer ocean biogeochemistry models[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(4)
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