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Proceedings Paper

Comparison of different dynamical models to predict the upper ocean concentration of a photochemical tracer as a function of depth and time
Author(s): A. J. Kettle; W. Martin; O. Zafiriou
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Paper Abstract

Three different one dimensional upper ocean boundary dynamics models are used to predict the concentration of a short-lived natural photochemical tracer as a function of time and depth. The dynamics models are coupled with parameterizations of the production and destruction rates of the tracer using chemical rate constants from published experimental studies. The model predictions of the upper ocean concentration the tracer do not agree closely with the measured concentrations obtained during one expedition, probably mostly because of errors in the rate constants used in the chemical model (published values of the in situ rate constants show much variability). An optimization scheme is described to find the values of the production and destruction rate constants which minimize the difference between the modelled and measured upper ocean concentrations of the photochemical tracer and the uncertainty is assessed using a Monte Carlo simulation. Using the optimized estimates of the chemical production and destruction rate constants, the simulated upper ocean concentrations from the three dynamics models show close agreement with each other. However, it is still difficult to determine which of the models is the best description for actual observed tracer concentrations because of weaknesses in the existing in situ data sets and models.

Paper Details

Date Published: 17 December 1999
PDF: 12 pages
Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); doi: 10.1117/12.373144
Show Author Affiliations
A. J. Kettle, Woods Hole Oceanographic Institution (Germany)
W. Martin, Woods Hole Oceanographic Institution (United States)
O. Zafiriou, Woods Hole Oceanographic Institution (United States)


Published in SPIE Proceedings Vol. 3868:
Remote Sensing for Earth Science, Ocean, and Sea Ice Applications
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

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