Influence of a Beaufort Sea Storm Surge on Channel Levels in the Mackenzie Delta

ARCTIC ◽  
1993 ◽  
Vol 46 (1) ◽  
Author(s):  
Philip Marsh ◽  
Tania Schmidt
Keyword(s):  
Storm Surge ◽  
Beaufort Sea ◽  
Mackenzie Delta ◽  
Sea Storm

The worst North Sea storm surge for 50 years

2008 ◽  
pp. 1349-1355
Author(s):  
K Horsburgh ◽  
J Williams ◽  
J Flowerdew ◽  
K Mylne ◽  
S Wortley
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
Sea Storm

Changing North Sea storm surge climate: An increasing hazard?

2012 ◽  
Vol 68 ◽  
pp. 58-68 ◽  
Author(s):  
Ralf Weisse ◽  
Hans von Storch ◽  
Hanz Dieter Niemeyer ◽  
Heiko Knaack
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
Sea Storm

Arctic coastal freshwater ecosystem responses to a major saltwater intrusion: A landscape-scale palaeolimnological analysis

The Holocene ◽  
2012 ◽  
Vol 22 (12) ◽  
pp. 1451-1460 ◽  
Author(s):  
Joshua R Thienpont ◽  
Daniel Johnson ◽  
Holly Nesbitt ◽  
Steven V Kokelj ◽  
Michael FJ Pisaric ◽  
...  
Keyword(s):  
Storm Surge ◽  
Regional Scale ◽  
Terrestrial Ecosystems ◽  
Freshwater Ecosystems ◽  
Storm Event ◽  
Freshwater Ecosystem ◽  
Mackenzie Delta ◽  
Large Area ◽  
Sea Ice Extent ◽  
The Impact

Because of decreasing sea-ice extent and increasingly frequent Arctic storms, low-lying coastal ecosystems are at heightened risk from marine storm surges. A major Arctic storm event originating in the Beaufort Sea in September 1999 resulted in the flooding of a large area of the outer alluvial plain of the Mackenzie Delta (Northwest Territories, Canada), and has been previously shown to have caused unprecedented impacts on the terrestrial ecosystems on a regional scale. We use diatoms preserved in lake sediment cores to gain a landscape perspective on the impact of the storm on freshwater systems, and to determine if other such events have occurred in the recent past. Our results indicate that five lakes located at the coastal edge of the low-lying Mackenzie Delta show strong, synchronous, and previously unobserved increases in the relative abundance of brackish-water diatom taxa coincident with the timing of the 1999 storm surge. These changes were not observed at a control site located farther inland. The degree to which the storm surge impacted the chemical and biological limnology of the lakes varied, and was not explained by measured physical variables, suggesting the degree of impact is likely related to a combination of factors including distance from the coast, the size:volume ratio of the lake and its catchment, and water residence time. We show that the 1999 storm surge resulted in unmatched broadscale impacts on the freshwater ecosystems of the outer Mackenzie Delta, and that while minimal recovery may be occurring in some of the systems, the lakes studied remain chemically and biologically impacted more than a decade after the inundation event.

The Big Flood: North Sea Storm Surge

Disasters ◽  
2006 ◽  
Vol 30 (1) ◽  
pp. 148-150 ◽  
Author(s):  
David Alexander
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
Sea Storm

A study of sub-seabottom permafrost in the Beaufort Sea-Mackenzie Delta by hydraulic drilling methods

10.4095/8322 ◽  
1977 ◽  
Author(s):  
H A MacAulay ◽  
A S Judge ◽  
J A Hunter ◽  
V S Allen ◽  
R M Gagne ◽  
...  
Keyword(s):  
Beaufort Sea ◽  
Mackenzie Delta

A (semi-)probabilistic storm surge EWS implementation for the Emilia-Romagna region (Italy)

2021 ◽  
Author(s):  
Luis Germano Biolchi ◽  
Silvia Unguendoli ◽  
Lidia Bressan ◽  
Beatrice Maria Sole Giambastiani ◽  
Andrea Valentini
Keyword(s):  
Sea Level ◽  
Storm Surge ◽  
Numerical Models ◽  
Mitigation Measures ◽  
Deterministic System ◽  
Emilia Romagna Region ◽  
The Mean ◽  
Coastal Risk ◽  
Sea Storm ◽  
The Eu

<p>The low lying and sandy coastal areas of the Emilia-Romagna region are heavily threatened by sea storms, often leading to flooding and coastal erosion events with severe impacts on citizens’ quality of life, damages to the cultural heritage and effects on economic activities (e.g. aquaculture, fisheries, tourism, beach facilities). Climate change projections reinforce the need of strategies and tools to prevent damages and promptly react to extreme events. In this context and in the framework of non-structural mitigation measures, the Hydro-Meteo-Climate Service of Arpae Emilia-Romagna (Arpae-SIMC) developed and operationally manages a Coastal Early Warning System (EWS) for the Emilia-Romagna Region (Northeast Italy).</p><p>The EWS was developed during the EU Project FP7-MICORE and it is a state-of-the-art coastal forecasting system that follows a chain of operational numerical models: the meteorological model COSMO, the wave model SWAN-MEDITARE, the ocean model AdriaROMS, and the morphodynamic model XBeach. The latter is currently implemented on a series of cross-shore beach profiles covering eight locations distributed along the Emilia-Romagna shore. Deterministic daily forecasts (72-hours) are generated and Storm Impact Indicators (SIIs) used to assess sea-storm induced coastal risk along the region’s littoral (geo.regione.emilia-romagna.it/schede/ews). </p><p>It is widely known that among the limitations of deterministic approaches, the lack of uncertainty estimation is often problematic as decision-makers might be misled if the only forecast available underestimates (or overestimates) incoming conditions. Hence, following the success of probabilistic forecasting in meteorological applications, storm surge EWSs following ensemble frameworks have been recently developed, allowing for more information available to sustain the decision-making process. Towards the new paradigm change, one of the foreseen outputs of the European Interreg Italy-Croatia CBC Programme project Strategic development of flood management (STREAM) involves the development of a “probabilistic EWS for coastal risk implemented and tested on at least one location along the Emilia-Romagna Coast”. </p><p>The initial implementation of the (semi-)probabilistic framework benefits from the EU ADRION I-STORMS (Integrated Sea Storm Management Strategies) project outcomes, in which wave and sea level multi-model ensembles were developed for the Adriatic Sea giving origin to the Transnational Multi-Model Ensemble (TMES). The TMES was made available as one of the six Integrated Web System (IWS) components, combining five wave and six sea level forecasting systems as means to provide 48-hour forecasts in terms of sea level and wave characteristics (Hs, Tm and Dm). Ensemble mean and standard deviation (SD) are calculated based on different forecasting systems’ results. In the initial approach, four TMES combinations have been tested as XBeach forcing: the TMES mean; the mean minus one SD; the mean plus one SD; the mean plus two SDs. Two months were analyzed together with the already implemented deterministic system for two profiles along the region’s coast.</p><p>The methodology followed for the test period will be shown as well as the results. Furthermore, the methodology under development will be also shown as means to enhance the discussion involving storm surge ensemble applications.</p>

scholarly journals Southern North Sea storm surge event of 5 December 2013: Water levels, waves and coastal impacts

2015 ◽  
Vol 146 ◽  
pp. 120-145 ◽  
Author(s):  
Thomas Spencer ◽  
Susan M. Brooks ◽  
Ben R. Evans ◽  
James A. Tempest ◽  
Iris Möller
Keyword(s):  
Storm Surge ◽  
North Sea ◽  
Water Levels ◽  
Southern North Sea ◽  
Coastal Impacts ◽  
Storm Surge Event ◽  
Sea Storm
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