Metric of the 2–6 day sea-surface temperature response to wind stress in the Tropical Pacific and its sensitivity to the K-Profile Parameterization of vertical mixing

Handle URI:
http://hdl.handle.net/10754/552379
Title:
Metric of the 2–6 day sea-surface temperature response to wind stress in the Tropical Pacific and its sensitivity to the K-Profile Parameterization of vertical mixing
Authors:
Wagman, Benjamin M.; Jackson, Charles S.; Yao, Fengchao ( 0000-0002-8218-0150 ) ; Zedler, Sarah E.; Hoteit, Ibrahim ( 0000-0002-3751-4393 )
Abstract:
Uncertainty in wind forcing has long hampered direct tests of ocean model output against observations for the purpose of refining the boundary layer K-Profile Parameterization (KPP) of oceanic vertical mixing. Considered here is a short-term metric that could be sensitive to the ways in which the KPP directly affects the adjustment of sea surface temperatures for a given change in wind stress. In particular a metric is developed based on the lagged correlation between the 2–6 day filtered wind stress and sea surface temperature. The metric is normalized by estimated observational and model uncertainties such that the significance of differences may be assessed. For this purpose multiple wind reanalysis products and their blended combinations were used to represent the range of forcing uncertainty, while perturbed KPP parameter model runs explore the sensitivity of the metric to the parameterization of vertical mixing. The correlation metric is sensitive to perturbations to most KPP parameters, in ways that accord with expectations, although only a few parameters show a sensitivity on the same order as the sensitivity to switching between wind products. This suggests that uncertainties in wind forcing continue to be a significant limitation for applying direct observational tests of KPP physics. Moreover, model correlations are biased high, suggesting that the model lacks or does not resolve sources of variability on the 2–6 day time scale.
KAUST Department:
Red Sea Research Center (RSRC); Physical Sciences and Engineering (PSE) Division
Citation:
Metric of the 2–6day sea-surface temperature response to wind stress in the Tropical Pacific and its sensitivity to the K-Profile Parameterization of vertical mixing 2014, 79:54 Ocean Modelling
Journal:
Ocean Modelling
Issue Date:
4-May-2014
DOI:
10.1016/j.ocemod.2014.04.003
Type:
Article
ISSN:
14635003
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1463500314000511
Appears in Collections:
Articles; Red Sea Research Center (RSRC); Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorWagman, Benjamin M.en
dc.contributor.authorJackson, Charles S.en
dc.contributor.authorYao, Fengchaoen
dc.contributor.authorZedler, Sarah E.en
dc.contributor.authorHoteit, Ibrahimen
dc.date.accessioned2015-05-06T13:24:21Zen
dc.date.available2015-05-06T13:24:21Zen
dc.date.issued2014-05-04en
dc.identifier.citationMetric of the 2–6day sea-surface temperature response to wind stress in the Tropical Pacific and its sensitivity to the K-Profile Parameterization of vertical mixing 2014, 79:54 Ocean Modellingen
dc.identifier.issn14635003en
dc.identifier.doi10.1016/j.ocemod.2014.04.003en
dc.identifier.urihttp://hdl.handle.net/10754/552379en
dc.description.abstractUncertainty in wind forcing has long hampered direct tests of ocean model output against observations for the purpose of refining the boundary layer K-Profile Parameterization (KPP) of oceanic vertical mixing. Considered here is a short-term metric that could be sensitive to the ways in which the KPP directly affects the adjustment of sea surface temperatures for a given change in wind stress. In particular a metric is developed based on the lagged correlation between the 2–6 day filtered wind stress and sea surface temperature. The metric is normalized by estimated observational and model uncertainties such that the significance of differences may be assessed. For this purpose multiple wind reanalysis products and their blended combinations were used to represent the range of forcing uncertainty, while perturbed KPP parameter model runs explore the sensitivity of the metric to the parameterization of vertical mixing. The correlation metric is sensitive to perturbations to most KPP parameters, in ways that accord with expectations, although only a few parameters show a sensitivity on the same order as the sensitivity to switching between wind products. This suggests that uncertainties in wind forcing continue to be a significant limitation for applying direct observational tests of KPP physics. Moreover, model correlations are biased high, suggesting that the model lacks or does not resolve sources of variability on the 2–6 day time scale.en
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1463500314000511en
dc.rightsArchived with thanks to Ocean Modelling. http://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectTurbulenceen
dc.subjectMixingen
dc.subjectMetricsen
dc.titleMetric of the 2–6 day sea-surface temperature response to wind stress in the Tropical Pacific and its sensitivity to the K-Profile Parameterization of vertical mixingen
dc.typeArticleen
dc.contributor.departmentRed Sea Research Center (RSRC)en
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalOcean Modellingen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionInstitute for Geophysics, The University of Texas at Austin, USAen
kaust.authorYao, Fengchaoen
kaust.authorHoteit, Ibrahimen
kaust.authorWagman, Benjamin M.en
kaust.authorZedler, Sarah E.en
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