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| Titel |
An empirical model for the statistics of sea surface diurnal warming |
| VerfasserIn |
M. J. Filipiak, C. J. Merchant, H. Kettle, P. Borgne |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 8, no. 2 ; Nr. 8, no. 2 (2012-03-29), S.197-209 |
| Datensatznummer |
250005508
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| Publikation (Nr.) |
 copernicus.org/os-8-197-2012.pdf |
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| Zusammenfassung |
| A statistical model is derived relating the diurnal variation of sea surface
temperature (SST) to the net surface heat flux and surface wind speed from a
numerical weather prediction (NWP) model. The model is derived using fluxes
and winds from the European Centre for Medium-Range Weather Forecasting
(ECMWF) NWP model and SSTs from the Spinning Enhanced Visible and Infrared
Imager (SEVIRI). In the model, diurnal warming has a linear dependence on
the net surface heat flux integrated since (approximately) dawn and an
inverse quadratic dependence on the maximum of the surface wind speed in the
same period. The model coefficients are found by matching, for a given
integrated heat flux, the frequency distributions of the maximum wind speed
and the observed warming. Diurnal cooling, where it occurs, is modelled as
proportional to the integrated heat flux divided by the heat capacity of the
seasonal mixed layer. The model reproduces the statistics (mean, standard
deviation, and 95-percentile) of the diurnal variation of SST seen by SEVIRI
and reproduces the geographical pattern of mean warming seen by the Advanced
Microwave Scanning Radiometer (AMSR-E). We use the functional dependencies
in the statistical model to test the behaviour of two physical model of
diurnal warming that display contrasting systematic errors. |
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