globalchange  > 气候变化事实与影响
DOI: 10.1002/2015GB005289
Scopus ID: 2-s2.0-84956875158
How well do global ocean biogeochemistry models simulate dissolved iron distributions?
Author: Tagliabue A; , Aumont O; , Death R; , Dunne J; P; , Dutkiewicz S; , Galbraith E; , Misumi K; , Moore J; K; , Ridgwell A; , Sherman E; , Stock C; , Vichi M; , Völker C; , Yool A
Source Publication: Global Biogeochemical Cycles
ISSN: 8866236
Publishing Year: 2016
Volume: 30, Issue:2
pages begin: 149
pages end: 174
Language: 英语
Keyword: biogeochemistry ; climate ; iron ; model ; ocean
Scopus Keyword: biogeochemistry ; carbon cycle ; chemical oceanography ; climate cycle ; dissolved matter ; ecosystem modeling ; iron ; marine ecosystem ; numerical model ; research program ; simulation
English Abstract: Numerical models of ocean biogeochemistry are relied upon to make projections about the impact of climate change on marine resources and test hypotheses regarding the drivers of past changes in climate and ecosystems. In large areas of the ocean, iron availability regulates the functioning of marine ecosystems and hence the ocean carbon cycle. Accordingly, our ability to quantify the drivers and impacts of fluctuations in ocean ecosystems and carbon cycling in space and time relies on first achieving an appropriate representation of the modern marine iron cycle in models. When the iron distributions from 13 global ocean biogeochemistry models are compared against the latest oceanic sections from the GEOTRACES program, we find that all models struggle to reproduce many aspects of the observed spatial patterns. Models that reflect the emerging evidence for multiple iron sources or subtleties of its internal cycling perform much better in capturing observed features than their simpler contemporaries, particularly in the ocean interior. We show that the substantial uncertainty in the input fluxes of iron results in a very wide range of residence times across models, which has implications for the response of ecosystems and global carbon cycling to perturbations. Given this large uncertainty, iron fertilization experiments based on any single current generation model should be interpreted with caution. Improvements to how such models represent iron scavenging and also biological cycling are needed to raise confidence in their projections of global biogeochemical change in the ocean. ©2015. American Geophysical Union. All Rights Reserved.
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Appears in Collections:气候变化事实与影响

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Affiliation: School of Environmental Sciences, University of Liverpool, Liverpool, United Kingdom; IRD, LOCEAN, Institut Pierre Simon LaPlace, Paris, France; School of Geographical Sciences, University of Bristol, Bristol, United Kingdom; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, MA, United States; Instituciõ Catalana de Recerca i Estudis Avançats, Barcelona, Spain; Institut de Ciència i Tecnologia Ambientals, Department of Mathematics, Universitat Autonoma de Barcelona, Barcelona, Spain; Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry, Abiko, Japan; Department of Earth System Science, University of California, Irvine, CA, United States; Department of Earth Sciences, University of California, Riverside, CA, United States; Department of Oceanography, University of Cape Town, Cape Town, South Africa; Nansen-Tutu Centre for Marine Environmental Research, Cape Town, South Africa; Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany; National Oceanography Centre, University of Southampton, Southampton, United Kingdom

Recommended Citation:
Tagliabue A,, Aumont O,, Death R,et al. How well do global ocean biogeochemistry models simulate dissolved iron distributions?[J]. Global Biogeochemical Cycles,2016-01-01,30(2)
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