<b>135.</b> IMPACT OF GLOBAL CLIMATE CHANGE ON WAVE CLIMATE

Mori, Nobuhito; Iwashima, Ryota; Yasuda, Tomohiro; Mase, Hajime; Tom, Tracey H.; Oku, Y.

doi:10.1142/9789814282475_0134

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By using the data computed from the GCM, disaster and environmental changes that may lead to natural disasters have been evaluated (i.e. Mori et al, 2009;Yasuda et al, 2009). In this study, we mainly focus on the differences between the present and future climate for both the averaged and extreme wave conditions.…”

Section: Methods Of Wave Climate Projectionmentioning

confidence: 99%

Projection of Extreme Wave Climate Change under Global Warming

Mori

Yasuda

Mase

et al. 2010

Hydrological Research Letters

Self Cite

220

132

View full text Add to dashboard Cite

Abstract:The influence of global climate change due to greenhouse effects on the earth's environment will require impact assessment, mitigation and adaptation strategies for the future of our society. This study predicts future ocean wave climate in comparison with present wave climate based on the atmospheric general circulation model and global wave model. The annual averaged and extreme sea surface winds and waves are analyzed in detail. There are clear regional dependences of both annual average and also extreme wave height changes from present to future climates. The wave heights of future climate will increase at both middle latitudes and also in the Antarctic Ocean, with a decrease at the equator.

show abstract

Section: Methods Of Wave Climate Projectionmentioning

confidence: 99%

Projection of Extreme Wave Climate Change under Global Warming

Mori

Yasuda

Mase

et al. 2010

Hydrological Research Letters

Self Cite

220

132

View full text Add to dashboard Cite

show abstract

“…A further improvement of this method should focus on seasonal and monthly periods, as well as the response of local wave climate to the passage of tropical and extratropical cyclones. In this sense, a local and regional focus is justified, as the change in the wave climate would not be globally uniform but the mean and maximum wave heights would increase in middle latitudes and in Antarctica, along with an increase in the maximum wave heights associated with tropical cyclones (Mori et al, 2009(Mori et al, , 2010.…”

Section: Discussionmentioning

confidence: 99%

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

Salcedo-Castro

Silva²,

Camargo³

et al. 2018

Ocean Sci.

View full text Add to dashboard Cite

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 of 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 a 2-day temporal window were gathered in the whole area and then gridded data were 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, additionally, this method allowed for capturing more information on shorter timescales 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.

show abstract

135. IMPACT OF GLOBAL CLIMATE CHANGE ON WAVE CLIMATE

Cited by 2 publications

References 0 publications

Projection of Extreme Wave Climate Change under Global Warming

Projection of Extreme Wave Climate Change under Global Warming

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

Contact Info

Product

Resources

About