Storm Surges from Extra-Tropical Cyclones

Danard, Maurice B.; Dube, S. K.; Gönnert, Gabriele; Munroe, Adam; Murty, T. S.; Chittibabu, P.; Rao, A. D.; Sinha, P. C.

doi:10.1023/b:nhaz.0000031312.98231.81

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…This implies: (i) the redistribution of extreme short-lasting surges from the autumn towards the winter, as seen in the storminess values; and (ii) an increase in the short-lasting surge heights. The latter has been already documented on a centurial timescale over the southern North Sea (Danard et al, 2004), being assigned to the influence of mesoscale weather systems embedded in the synoptic scale cyclones.…”

Section: Trends In Extremesmentioning

confidence: 87%

Long-term variability and trends of sea level storminess and extremes in European Seas

Vilibić

Šepić

2010

Global and Planetary Change

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Section: Trends In Extremesmentioning

confidence: 87%

Long-term variability and trends of sea level storminess and extremes in European Seas

Vilibić

Šepić

2010

Global and Planetary Change

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“…Two types of shifts have been identified by various authors (Danard, et al, 2004), Lewis (1987), Wood et al (1995), Sellinger and Quinn (1999). N.O.A.A.…”

Section: Shift In the Cyclone Tracksmentioning

confidence: 90%

A review of cyclone track shifts over the Great Lakes of North America: implications for storm surges

Mahdi

Jain

Patel³

et al. 2018

Nat Hazards

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Cyclone tracks over the Great Lakes of North America shift, both East-West as well as North-South. The reasons for the shifts are various small-scale as well as large scale processes associated with the general circulation of the atmosphere. The East-West shift has an approximate periodicity of 10 years, while the North-South shift occurs roughly with a periodicity of 20 years. The East-West shift is more important than the North-South shift. The amount of shift could be as much as a few hundred kilometers. The implication of these shifts for storm surges in the Great Lakes is considered.

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“…Strong dependence has been found between extreme rainfall and storm surge in coastal regions (Zheng et al, 2013;Mohanty et al, 2020). Overall, the compound storm surge and heavy rainfall events are associated with tropical cyclones, atmospheric rivers (Lin et al, 2010a), medicanes (Amores et al, 2020;Davolio et al, 2020;, and extreme extratropical cyclones (Danard et al, 2004;Colle et al, 2015;Mäll et al, 2017;Lin et al, 2019).…”

Section: Storm Surge and Heavy Rainfallmentioning

confidence: 97%

Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods

et al. 2021

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Compound extremes pose immense challenges and hazards to communities, and this is particularly true for compound hydrometeorological extremes associated with deadly floods, surges, droughts, and heat waves. To mitigate and better adapt to compound hydrometeorological extremes, we need to better understand the state of knowledge of such extremes. Here we review the current advances in understanding compound hydrometeorological extremes: compound heat wave and drought (hot-dry), compound heat stress and extreme precipitation (hot-wet), cold-wet, cold-dry and compound flooding. We focus on the drivers of these extremes and methods used to investigate and quantify their associated risk. Overall, hot-dry compound extremes are tied to subtropical highs, blocking highs, atmospheric stagnation events, and planetary wave patterns, which are modulated by atmosphere-land feedbacks. Compared with hot-dry compound extremes, hot-wet events are less examined in the literature with most works focusing on case studies. The cold-wet compound events are commonly associated with snowfall and cold frontal systems. Although cold-dry events have been found to decrease, their underlying mechanisms require further investigation. Compound flooding encompasses storm surge and high rainfall, storm surge and sea level rise, storm surge and riverine flooding, and coastal and riverine flooding. Overall, there is a growing risk of compound flooding in the future due to changes in sea level rise, storm intensity, storm precipitation, and land-use-land-cover change. To understand processes and interactions underlying compound extremes, numerical models have been used to complement statistical modeling of the dependence between the components of compound extremes. While global climate models can simulate certain types of compound extremes, high-resolution regional models coupled with land and hydrological models are required to simulate the variability of compound extremes and to project changes in the risk of such extremes. In terms of statistical modeling of compound extremes, previous studies have used empirical approach, event coincidence analysis, multivariate distribution, the indicator approach, quantile regression and the Markov Chain method to understand the dependence, greatly advancing the state of science of compound extremes. Overall, the selection of methods depends on the type of compound extremes of interests and relevant variables.

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Storm Surges from Extra-Tropical Cyclones

Cited by 9 publications

References 5 publications

Long-term variability and trends of sea level storminess and extremes in European Seas

Long-term variability and trends of sea level storminess and extremes in European Seas

A review of cyclone track shifts over the Great Lakes of North America: implications for storm surges

Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods

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