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Ocean Science An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/os-2017-81
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
08 Nov 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Ocean Science (OS).
Estimation of extreme wave heights return period from short-term interpolation of multi-mission satellite data: application to the South Atlantic
Julio Salcedo-Castro1, Natália Pillar da Silva2, Ricardo de Camargo2, Eduardo Marone3, and Héctor H. Sepúlveda4 1Centro de Estudios Avanzados, Universidad de Playa Ancha, Traslaviña 450, Viña del Mar, Chile
2Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo. Rua do Matão, 1226, 05508-900, São Paulo, SP, Brasil
3Centro de Estudos do Mar, Universidade Federal do Paraná, Av. Beira Mar s/n, 83255-000, Pontal do Sul, PR, Brasil
4Departamento de Geofísica, Universidad de Concepción, Avenida Esteban Iturra s/n, Barrio Universitario, Concepción, Chile
Abstract. We analyzed the spatial pattern of wave extremes in the South Atlantic Ocean by using multiple altimeter platforms spanning the period 1993–2015. Unlike the traditional approach adopted by previous studies, consisting in computing the monthly mean, median or maximum values inside a bin of certain size, we tackled the problem with a different procedure in order to capture more information from short term events. All satellite tracks occurring during two-day temporal window were added in the whole area and then gridded data was generated onto a mesh size of 2° × 2° through optimal interpolation. The Peaks Over Threshold (POT) method was applied, along with the generalized Pareto distribution (GPD). The results showed a spatial distribution comparable to previous studies and, on the other hand, this method allowed capturing more information on shorter time scales without compromising spatial coverage. A comparison with buoy observations demonstrated that this approach improves the representativeness of short-term events in an extreme events analysis.

Citation: Salcedo-Castro, J., da Silva, N. P., de Camargo, R., Marone, E., and Sepúlveda, H. H.: Estimation of extreme wave heights return period from short-term interpolation of multi-mission satellite data: application to the South Atlantic, Ocean Sci. Discuss., https://doi.org/10.5194/os-2017-81, in review, 2017.
Julio Salcedo-Castro et al.
Julio Salcedo-Castro et al.
Julio Salcedo-Castro et al.

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Short summary
This paper is focused on a new treatment to along-track satellite data so as to improve the processing of information related to the occurrence of extreme values. The main objective is to preserve information concerning to the occurrence of short-term extreme events (2–5 days) like cyclones. In this way, the representativenes of these events is enhanced when applying extreme value return analyses. This method allows us to improve our estimation of return period for risk analyses.
This paper is focused on a new treatment to along-track satellite data so as to improve the...
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