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Optimization and sensitivity analysi...
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Kwon, Eun Young.
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Optimization and sensitivity analysis of a global ocean biogeochemistry model.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Optimization and sensitivity analysis of a global ocean biogeochemistry model./
作者:
Kwon, Eun Young.
面頁冊數:
151 p.
附註:
Adviser: Francois W. Primeau.
Contained By:
Dissertation Abstracts International69-02B.
標題:
Biogeochemistry. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3302270
ISBN:
9780549486473
Optimization and sensitivity analysis of a global ocean biogeochemistry model.
Kwon, Eun Young.
Optimization and sensitivity analysis of a global ocean biogeochemistry model.
- 151 p.
Adviser: Francois W. Primeau.
Thesis (Ph.D.)--University of California, Irvine, 2008.
A computationally efficient global ocean biogeochemistry model is developed to perform a systematic parameter optimization and sensitivity analysis. We implement an implicit solver to a three-dimensional global ocean biogeochemistry model. This implicit solver uses Newton's method to solve for the steady-state distributions of dissolved inorganic carbon (DIC), total alkalinity (TA), phosphate (PO4) and semilabile dissolved organic carbon (DOC) and is several orders of magnitude faster than a traditional time stepping approach.
ISBN: 9780549486473Subjects--Topical Terms:
545717
Biogeochemistry.
Optimization and sensitivity analysis of a global ocean biogeochemistry model.
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A computationally efficient global ocean biogeochemistry model is developed to perform a systematic parameter optimization and sensitivity analysis. We implement an implicit solver to a three-dimensional global ocean biogeochemistry model. This implicit solver uses Newton's method to solve for the steady-state distributions of dissolved inorganic carbon (DIC), total alkalinity (TA), phosphate (PO4) and semilabile dissolved organic carbon (DOC) and is several orders of magnitude faster than a traditional time stepping approach.
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The global data sets of DIC, TA and PO4 are used to constrain the parameters which include: the stoichiometric ratios rC:P and rN:P, the fraction sigma of new production allocated to DOC, the lifetime 1/kappa of DOC, the exponent alpha in the powerlaw for the depth-profile of the remineralization of particulate organic carbon (POC), the rain ratio R of CaCO3 and the e-folding length scale d for the depth-profile of CaCO3 dissolution. The optimal parameter values are rC:P=137+/-11, rN:P=24+/-12, sigma=0.74+/-0.04, l/kappa=1.7+/-0.5 yr, alpha=-0.97+/-0.07, R=0.081+/-0.008 and d=2100+/-300m, where uncertainty estimates are made by allowing an average 1% decrease in the fraction of the spatial variance in the combined data captured by the model. Rased on the optimal parameter ranges, the globally integrated carbon export from POC is 15+/-1 Gt/yr and from CaCO3 is 1.2+/-0.1 Gt/yr of which 67+/-4% dissolves above a depth of 2000m.
520
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The sensitivity of the model to its parameters is presented in terms of sensitivity patterns defined as the partial derivative of the model's equilibrium tracer distribution with respect to parameters (S-patterns). By introducing a novel carbon pump decomposition method that allows us to interpret the S-patterns through changes in the soft-tissue, carbonate and gas-exchange pumps, we illustrate how changes in productivity and remineralization affect air-sea carbon balance through strengthening or weakening of the soft-tissue and carbonate pumps. The S-pattern analysis also illustrates quantitatively how changes in organic and inorganic carbon fluxes couple with the large-scale ocean circulation and how changes in surface chemistry couple with the global ventilation patterns to partition carbon between the ocean and atmosphere.
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