Deriving sea-state parameters using RISAT-1 SAR data

Ganguly, Debojyoti; Mishra, Manoj K.; Chauhan, Prakash

doi:10.1016/j.asr.2014.09.033

Cited by 4 publications

(1 citation statement)

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“…All these sources are affected by errors in various ways and to different extents: the limitations of models and of satellite altimeters as a source of historical data are obvious and are discussed elsewhere (Ganguly et al 2015;Passaro et al 2015;Sartini et al 2015a;Kudryavtseva and Soomere 2016). In situ wave-meters, when available, are normally the best choice but -as it will be shown in the following -in certain circumstances they are also affected by a strong bias when used to determine extreme values.…”

Section: Introductionmentioning

confidence: 99%

Sampling Bias in the Estimation of Significant Wave Height Extreme Values

Dentale

Reale

D’Alessandro

et al. 2017

Int. Conf. Coastal. Eng.

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It has been shown before, and it is intuitively evident, that in a Significant Wave Height (SWH) time series, the longer the sampling interval, the lower is the number of events which are above a given threshold value. As a consequence, the use of data with a low time resolution (such as a 3 h sampling, for instance) causes a considerable undervaluation of the extreme SWH values for a given return time RT. In this paper an example of such a bias is provided, and a method is suggested to estimate it on a regional basis. Results may help to improve the use of historical wave meters data which were often collected with a low time resolution, and may also provide a tool to improve the application of Numerical Meteo-Wave models to the evaluation of extremes.

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Section: Introductionmentioning

confidence: 99%