On estimating extreme wave heights using combined Geosat, Topex/Poseidon and ERS-1 altimeter data

Alves, Jose-Henrique; Young, Ian R.

doi:10.1016/j.apor.2004.01.002

Cited by 87 publications

(75 citation statements)

References 16 publications

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“…The observed zonal variation of the extreme wave height agrees with that observed by Alves and Young (2003). In this sense, Alves and Young (2003) described three zonal bands: a higher latitude region, characterized by higher SWH, an equatorial band, with lower SWH, and a transitional zone, between 20…”

supporting

confidence: 77%

“…On the other hand, the spatial variability of the return values is similar to description given by Caires and Sterl (2005), who relate this variability to under-sampling within the bins. However, the long data set and the chosen fixed threshold would assure an adequate representation of major spatial features (Caires and Sterl, 2005) The chosen grid size produced results comparable to those obtained by other authors (Cotton and Carter, 1994;Young, 1999;5 Panchang et al, 1999;Woolf et al, 2002;Alves and Young, 2003;Vinoth and Young, 2011), confirming that a mesh element size of 2 • × 2…”

supporting

confidence: 75%

“…2). Consequently, following Caires and Sterl (2005) and Challenor et al (2004), we used the 97th percentile as threshold value, which was set as spatially variable, in agreement with Alves and Young (2003). A reasonable agreement (R>=0.64) is observed between the interpolated LOS data and the buoy series (Fig.…”

mentioning

confidence: 71%

“…In summary, the approach adopted so far in previous studies (Carter, 1993;Alves and Young, 2003;Challenor et al, 2004;Chen et al, 2004;Caires and Sterl, 2005;Wimmer et al, 2006) has consisted in using the monthly mean, median or maxima from different satellite along track data within a bin of a certain size and processing this information in order to estimate the 15 extreme wave for a certain return period. In this study, we carried out an extreme wave analysis based on satellite altimeter data generated by a multi-satellite database that was standardized, quality-controlled and corrected, from 1993 to 2015 (Queffeulou, 2004;Queffeulou and Croizé-fillon, 2017).…”

Section: Validated Swh Modeled Results Inmentioning

confidence: 99%

“…Therefore, provided there is a good coverage and knowledge of the data, this method yields quite accurate interpolated results (Bretherton et al, 1976). The mesh size of 2 • × 2 • box was chosen based on other authors (Cotton and Carter, 10 1994;Young, 1999;Woolf et al, 2002;Alves and Young, 2003;Hemer, 2010) and the results of Vinoth and Young (2011) about the acceptable tolerance of the peaks-over-threshold (POT) method to this grid resolution.…”

mentioning

confidence: 99%

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Estimation of extreme wave heights return period from short-term interpolation of multi-mission satellite data: application to the South Atlantic

Salcedo-Castro¹,

Silva²,

Camargo³

et al. 2017

Preprint

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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 1Ocean Sci. Discuss., https://doi

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supporting

confidence: 77%

supporting

confidence: 75%

mentioning

confidence: 71%

Section: Validated Swh Modeled Results Inmentioning

confidence: 99%

mentioning

confidence: 99%

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Estimation of extreme wave heights return period from short-term interpolation of multi-mission satellite data: application to the South Atlantic

Salcedo-Castro¹,

Silva²,

Camargo³

et al. 2017

Preprint

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Changes in the mesoscale variability and in extreme sea levels over two decades as observed by satellite altimetry

Woodworth

Ménendez

2015

JGR Oceans

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A data set of precise radar altimeter sea surface heights obtained from the same 10 day repeat ground track has been analyzed to determine the magnitude of change in the ocean ''mesoscale'' variability over two decades. Trends in the standard deviation of sea surface height variability each year are found to be small (typically 0.5 percent/yr) throughout the global ocean. Trends in positive and negative extreme sea level in each region are in general found to be similar to those of mean sea level, with some small regional exceptions. Generalized Extreme Value Distribution (GEVD) analysis also demonstrates that spatial variations in the statistics of extreme positive sea levels are determined largely by the corresponding spatial variations in mean sea level changes, and are related to regional modes of the climate system such as the El Niño-Southern Oscillation. Trends in the standard deviation of along-track sea level gradient variability are found to be close to zero on a global basis, with regional exceptions. Altogether our findings suggest an ocean mesoscale variability that displays little change when considered over an extended period of two decades, but that is superimposed on a spatially and temporally varying signal of mean sea level change.

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An assessment of the ocean wave climate of New Zealand as represented in Kidson's synoptic types

Coggins

Parsons

Schiel

2015

Intl Journal of Climatology

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Recent studies have shown large increases in global significant ocean wave height since the genesis of satellite-borne altimeter wave observations in the mid-1980s. The island nation of New Zealand (NZ) has many coastal communities and ecosystems which are sensitive to changes in ocean wave climate. In this article we document regional ocean wave height in the seas around NZ, employing significant wave height output from the ECMWF (European Centre for Medium-Range Weather Forecasts) Re-analysis (ERA)-Interim reanalysis. Initially, we perform a comparison against independent satellite altimeter observations in deep waters around NZ. Results indicate that the ERA-Interim well represents wave heights in this region, although there is some underestimation of extremes. We apply the Kidson types, a synoptic climatology of NZ lower atmospheric circulation to the wave fields, finding that mean swell and wind-sea heights greatly depend on local weather conditions. High waves in the south of the country coincide with local strong south-westerly winds, while those in the north are dominated by distantly generated swells, punctuated by strong local events.Linear trend analysis of ocean wave height shows increases that are statistically significant in many areas. Trends vary by location and season, are larger in winter than summer, and appear to change according to different seasonal forcings. We find that summer wave trends are congruent with mean sea-level pressure gradient trends in large sectors of the Southern Ocean, suggesting that distant forcing is important. In summer, the height of swells has increased over the period examined, while those of locally generated wind-sea have decreased. This is consistent with the movement south and intensification of the near-surface westerly jet.In winter, trends are forced via intensification and shifts in the dominant NZ wind patterns. Pressure gradient congruent trends are large only in the vicinity of NZ, and both the heights of swell and wind-sea have increased over the period.

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On estimating extreme wave heights using combined Geosat, Topex/Poseidon and ERS-1 altimeter data

Cited by 87 publications

References 16 publications

Estimation of extreme wave heights return period from short-term interpolation of multi-mission satellite data: application to the South Atlantic

Estimation of extreme wave heights return period from short-term interpolation of multi-mission satellite data: application to the South Atlantic

Changes in the mesoscale variability and in extreme sea levels over two decades as observed by satellite altimetry

An assessment of the ocean wave climate of New Zealand as represented in Kidson's synoptic types

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