Using observations of bottom temperature to calibrate the output of an ocean model
Date
2012
Authors
Middleton, J.
McGarvey, R.
Linnane, A.
Middleton, S.
Teixeira, C.
Hawthorne, P.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Journal of Marine Systems, 2012; 91(1):34-40
Statement of Responsibility
J.F. Middleton, R. McGarvey, A. Linnane, S.M. Middleton, C.E.P. Teixeira and P. Hawthorne
Conference Name
Abstract
In order to understand the effects of environmental variables, such as temperature, on commercial fish species, long time series (> 10. years) of data are required. We show that bottom temperature output (1992-2008) from the semi-global ocean circulation model Bluelink, can be corrected for a coastal region off southern Australia using relatively short, non-continuous time series of observed temperature. The correction involves a simple linear regression, but with coefficients that are determined on a monthly basis so as to allow for consistent seasonal errors in the model temperature fields. For one site (Southend), the application of the correction increased the explained variance from 26% to 73%. The bottom temperature data is found to be serially correlated and two methodologies for computing the effective degrees of freedom and confidence limits for the regression model are adopted. Both result in almost identical confidence limits. These results are thought to be robust since around 95% of scatter pairs (temperature data and model output) are found to lie within the 95% confidence limits computed. © 2011.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Crown Copyright © 2011 Published by Elsevier B.V. All rights reserved.