Resilience and the Threat of Natural Disasters in Europe Denis Binder
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The Future of Midlatitude Cyclones
Current Climate Change Reports https://doi.org/10.1007/s40641-019-00149-4 MID-LATITUDE PROCESSES AND CLIMATE CHANGE (I SIMPSON, SECTION EDITOR) The Future of Midlatitude Cyclones Jennifer L. Catto1 & Duncan Ackerley2 & James F. Booth3 & Adrian J. Champion1 & Brian A. Colle4 & Stephan Pfahl5 & Joaquim G. Pinto6 & Julian F. Quinting6 & Christian Seiler7 # The Author(s) 2019 Abstract Purpose of Review This review brings together recent research on the structure, characteristics, dynamics, and impacts of extratropical cyclones in the future. It draws on research using idealized models and complex climate simulations, to evaluate what is known and unknown about these future changes. Recent Findings There are interacting processes that contribute to the uncertainties in future extratropical cyclone changes, e.g., changes in the horizontal and vertical structure of the atmosphere and increasing moisture content due to rising temperatures. Summary While precipitation intensity will most likely increase, along with associated increased latent heating, it is unclear to what extent and for which particular climate conditions this will feedback to increase the intensity of the cyclones. Future research could focus on bridging the gap between idealized models and complex climate models, as well as better understanding of the regional impacts of future changes in extratropical cyclones. Keywords Extratropical cyclones . Climate change . Windstorms . Idealized model . CMIP models Introduction These features are a vital part of the global circulation and bring a large proportion of precipitation to the midlatitudes, The way in which most people will experience climate change including very heavy precipitation events [1–5], which can is via changes to the weather where they live. -
Historical Weather Data for Climate Risk Assessment
Historical Weather Data for Climate Risk Assessment Stefan Brönnimann1,2,*, Olivia Martius1,2,3, Christian Rohr1,4, David N. Bresch5,6 Kuan-Hui Elaine Lin7 1 Oeschger Centre for Climate Change Research, University of Bern, Switzerland 2 Institute of Geography, University of Bern, Switzerland 3 Mobiliar Lab for Natural Risks, University of Bern, Switzerland 4 Institute of History, University of Bern, Switzerland 5 Institute for Environmental Decisions, ETH Zurich, Universitätstrasse 22, 8092 Zurich, Switzerland 6 Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, P.O. Box 257, 8058 Zurich-Airport, Switzerland 7 Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan Revised submission to Annals of the New York Academy of Sciences * corresponding author: Stefan Brönnimann Institute of Geography, University of Bern Hallerstr. 12 CH-3012 Bern Switzerland [email protected] Short title: Historical Weather Data for Climate Risk Assessment Keywords: extreme events, climate risk, climate data, historical data | downloaded: 26.9.2021 Abstract. Weather and climate-related hazards are responsible for large monetary losses, material damages and societal consequences. Quantifying related risks is therefore an important societal task, particularly in view of future climate change. The past record of events plays a key role in this context. Historically, it was the only source of information and was maintained and passed on within cultures of memory. Today, new numerical techniques can again make use of historical weather data to simulate impacts quantitatively. In this paper we outline how historical environmental data can be used today in climate risk assessment by (i) developing and validating numerical model chains, (ii) providing a large statistical sample which can be directly exploited to estimate hazards and to model present risks, and (iii) establishing „worst-case“ events which are relevant references in the present or future. -
Return Periods of Losses Associated with European Windstorm Series in a Changing Climate
Return periods of losses associated with European windstorm series in a changing climate J.G. Pinto (a,b) M.K. Karremann (b) M. Reyers (b) M. Klawa (c) (a) Univ. Reading, UK (b) Univ. Cologne, Germany (c) Deutsche Rück, Germany Contact: [email protected] 1 Joaquim G. Pinto Bern 01 Sept. 2015 Motivation - European Storm Climatology, Top 15 Events Storm Storm Economic Damage Storm Name Fatalities rank Year Actual (USD) 1 1999 Lothar 137 11,350,000,000 2 2007 Kyrill 47 10,000,000,000 1990 season 3 1990 Daria 97 7,000,000,000 1999 season 4 2010 Xynthia 64 6,100,000,000 5 1999 Martin 90 6,000,000,000 6 2009 Klaus 28 6,000,000,000 7 2005 Erwin 18 5,505,000,000 8 1976 Capella 0 5,000,000,000 9 1987 Great Storm of 1987 23 4,000,000,000 10 1990 Vivian 50 3,500,000,000 11 1999 Anatol 27 3,000,000,000 12 2002 Jeanett 38 2,531,000,000 13 1995 Thalia 28 2,310,000,000 Multiple occurrences per year may be critical 14 1990 Wiebke 67 2,260,000,000 for contractual reasons 15 1990 Herta 30 1,960,000,000 Source: Perils 2 Joaquim G. Pinto Bern 01 Sept. 2015 Serial clustering of cyclones over North Atlantic / Europe Physical processes: a) Steering by large-scale patterns b) Secondary cyclogenesis (cyclone families) Jet stream, NAO++ Dispersion Dispersion statistics Ψ <0: serial regularity All P95 Ψ =0: serial randomness Ψ >0: serial clustering Sources: Pinto et al., 2009, Clim. -
Ex-Hurricane Ophelia 16 October 2017
Ex-Hurricane Ophelia 16 October 2017 On 16 October 2017 ex-hurricane Ophelia brought very strong winds to western parts of the UK and Ireland. This date fell on the exact 30th anniversary of the Great Storm of 16 October 1987. Ex-hurricane Ophelia (named by the US National Hurricane Center) was the second storm of the 2017-2018 winter season, following Storm Aileen on 12 to 13 September. The strongest winds were around Irish Sea coasts, particularly west Wales, with gusts of 60 to 70 Kt or higher in exposed coastal locations. Impacts The most severe impacts were across the Republic of Ireland, where three people died from falling trees (still mostly in full leaf at this time of year). There was also significant disruption across western parts of the UK, with power cuts affecting thousands of homes and businesses in Wales and Northern Ireland, and damage reported to a stadium roof in Barrow, Cumbria. Flights from Manchester and Edinburgh to the Republic of Ireland and Northern Ireland were cancelled, and in Wales some roads and railway lines were closed. Ferry services between Wales and Ireland were also disrupted. Storm Ophelia brought heavy rain and very mild temperatures caused by a southerly airflow drawing air from the Iberian Peninsula. Weather data Ex-hurricane Ophelia moved on a northerly track to the west of Spain and then north along the west coast of Ireland, before sweeping north-eastwards across Scotland. The sequence of analysis charts from 12 UTC 15 to 12 UTC 17 October shows Ophelia approaching and tracking across Ireland and Scotland. -
I Don't Think I Need to Remind Anyone Here What a Catastrophic Event The
I don’t think I need to remind anyone here what a catastrophic event The Great Storm of 1987 was. In the build-up to its 30th anniversary last month we were treated to almost round the clock coverage in the media – on its meteorological back story - its violent trajectory across the southern half of the country - and everything from well-publicised and embarrassing forecasting failures - to the exponential loss of trees. I have a very personal reason for writing this book and this evening, I’d like to tell you how I came to write it, and where it all began; what I learned about storms and what this one, in particular, taught us and also how the themes of the title, Landscape, Legacy and Loss - came to define my own unique perspective - in the reframing and retelling of this powerful, collective national memory - 30 years on. 1 But let’s start with the weather… As our lifestyles change - as fewer of us work outdoors or have our livelihoods influenced by the weather – we’re much less affected by it than we used to be. This gradual disconnection from the outside world, means that weather events need to be truly exceptional before they stick in our minds - and that we quickly forget all but the most extreme, the most outrageous. If you were to ask a cross section of the population to give you their most vivid weather memories - each generation would be able to tell you about their own exceptionally hot or wet summer or their coldest, most severe winter. -
Pension News Dec 14.Pdf
Pearl Group Staff Pension Scheme December 2014 PENSION news INSIDE: • Club updates pages 4-6 • Lunch at High Holborn page 7 2 Pension news It is our sad duty to tell you that Lynne Coniff, who edited Pension News for the last 13 years, passed Hello… and welcome to away on 22 November 2014. As Lynne had already prepared this the December 2014 issue of Pension News. latest edition we thought it was It seems like no time at all since I The Editor, Pearl Pension News, fitting that it should be published as introduced you to the Summer issue! First Actuarial LLP, First House, Lynne had intended. Lynne will be I’m glad to report that you’re still Minerva Business Park, Lynch Wood, missed by everyone who had the enjoying stirring up old memories Peterborough PE2 6FT. privilege of working with her and of your time with the Pearl – we’ve our thoughts are with Mike, Lynne’s Wishing you a wonderful Christmas had a couple of replies to the ‘mighty husband, and the rest of her family and a happy New Year. oaks’ article in the last issue, which at this difficult time. Lynne Coniff celebrated the 150th birthday of Pearl, Editor and the 65th birthday of the Pearl 2015 pension pay dates Pension Scheme. We also have two more ‘add the name’ challenges – one The pension pay dates for 2015 in the form of a sketch, which should are as follows: prove interesting! 23 Jan 22 May 25 Sept 25 Feb 25 June 23 Oct As always, please keep your 25 March 24 July 25 Nov contributions coming: 24 April 25 Aug 22 Dec Pension news 3 Stirring up memories Mr Alan F Lankshear Allan G Cook from Halstead, Essex wrote: “I recognised several Following the article ‘From little acorns, mighty names but one in particular prompted memories of my early oaks grow’ in the last issue, we received two days at Pearl and that is of Mr Alan F Lankshear. -
A User-Friendly Database of Coastal Flooding in The
www.nature.com/scientificdata OPEN A user-friendly database of coastal SUBJECT CATEGORIES » Environmental sciences flooding in the United Kingdom » Environmental social sciences from 1915–2014 » Physical oceanography Ivan D. Haigh1,2, Matthew P. Wadey1, Shari L. Gallop1, Heiko Loehr1, Robert J. Nicholls3, » Atmospheric dynamics Kevin Horsburgh4, Jennifer M. Brown4 & Elizabeth Bradshaw5 Coastal flooding caused by extreme sea levels can be devastating, with long-lasting and diverse consequences. Historically, the UK has suffered major flooding events, and at present 2.5 million properties and £150 billion of assets are potentially exposed to coastal flooding. However, no formal system is in place to catalogue which storms and high sea level events progress to coastal flooding. Furthermore, information Received: 19 January 2015 on the extent of flooding and associated damages is not systematically documented nationwide. Here we Accepted: 16 April 2015 present a database and online tool called ‘SurgeWatch’, which provides a systematic UK-wide record of Published: 12 May 2015 high sea level and coastal flood events over the last 100 years (1915-2014). Using records from the National Tide Gauge Network, with a dataset of exceedance probabilities and meteorological fields, SurgeWatch captures information of 96 storms during this period, the highest sea levels they produced, and the occurrence and severity of coastal flooding. The data are presented to be easily assessable and understandable to a range of users including, scientists, coastal engineers, managers and planners and concerned citizens. Design Type(s) observation design • data integration objective • time series design Measurement Type(s) oceanography Technology Type(s) data collection method Factor Type(s) Sample Characteristic(s) coast • England • Wales • British Isles • Scotland 1Ocean and Earth Science, National Oceanography Centre, University of Southampton, European Way, Southampton SO14 3ZH, UK. -
The Great Storm of 1987: 20-Year Retrospective
THE GREAT STORM OF 1987: 20-YEAR RETROSPECTIVE RMS Special Report EXECUTIVE SUMMARY The Great Storm of October 15–16, 1987 hit northern France and southern England with unexpected ferocity. Poorly forecast, unusually strong, and occurring early in the winter windstorm season, this storm — known in the insurance industry as “87J” — has been ascribed negative consequences beyond its direct effects, including severe loss amplification, and according to one theory, the precipitation of a major global stock market downturn. Together with other catastrophic events of the late 1980s and early 1990s, the storm brought some companies to financial ruin, while at the same time creating new business opportunities for others. The global reinsurance industry in particular was forced to adapt to survive. In this climate, the way was clear for new capital to enter the market, and for the development of innovative ways to assess and transfer the financial risk from natural hazards and other perils. Twenty years following the 1987 event, this report chronicles the unique features of the storm and the potential impact of the event should it occur in 2007, in the context of RMS’ current understanding of the windstorm risk throughout Europe. The possible consequences of a storm with similar properties taking a subtly different path are also considered. In 1987, losses from the storm totalled £1.4 billion (US$2.3 billion) in the U.K. alone. RMS estimates that if the Great Storm of 1987 were to recur in 2007, it would cause between £4 billion and £7 billion (between US$8 billion and US$14.5 billion) in insured loss Europe-wide. -
The Human Element in Forecasting - a Personal Viewpoint Martin V Young (Guidance Unit, UK Met Office, Exeter)
The Human Element in Forecasting - a Personal Viewpoint Martin V Young (Guidance Unit, UK Met Office, Exeter) Introduction experienced Lead Forecasters recognise these all- important psychological aspects without necessarily “It should have been obvious all along that the fog realising it. Examples are addressed in turn in this wouldn’t clear…” paper. “Why didn’t the previous shift issue the thunderstorm warnings sooner?” Whilst a thorough underpinning meteorological “Why have we been lumbered with those snow warn- knowledge should be a pre-requisite, this paper aims ings that were clearly overdone?” to provide an insight and awareness into the all- important human factors that can influence the deci- How often have we asked such questions of sion-making process. Whilst other authors (e.g. colleagues, or even ourselves, on a forecasting shift? Doswell 2004) have addressed decision-making in And what lessons can we, as forecasters, learn, not so weather forecasting with the help of cognitive much about the meteorological science, but how we psychology, this paper uses examples (largely derived approach decision-making? from the author’s personal experience) to identify some potential pitfalls and barriers to effective deci- Even though meteorology has developed into a rigor- sion-making along with how to overcome them, there- ous science, the inherent uncertainty in many situa- by optimising the role of humans in weather tions means that a variety of different outcomes can forecasting. usually be envisaged especially in a finely-balanced situation. Therefore a judgement call is usually required. In an ideal world that judgement should Stand Back and Take Stock always be balanced and analytical, based on hard evidence as well as intuition. -
Smartworld.Asia Specworld.In
Smartworld.asia Specworld.in UNIT-2 A natural disaster is a major adverse event resulting from natural processes of the Earth; examples include floods, volcanic eruptions, earthquakes, tsunamis, and other geologic processes. A natural disaster can cause loss of life or property damage, and typically leaves some economic damage in its wake, the severity of which depends on the affected population's resilience, or ability to recover. An adverse event will not rise to the level of a disaster if it occurs in an area without vulnerable population. In a vulnerable area, however, such as San Francisco, an earthquake can have disastrous consequences and leave lasting damage, requiring years to repair. In 2012, there were 905 natural catastrophes worldwide, 93% of which were weather-related disasters. Overall costs were US$170 billion and insured losses $70 billion. 2012 was a moderate year. 45% were meteorological (storms), 36% were hydrological (floods), 12% were climatologically (heat waves, cold waves, droughts, wildfires) and 7% were geophysical events (earthquakes and volcanic eruptions). Between 1980 and 2011 geophysical events accounted for 14% of all natural Avalanches smartworlD.asia During World War I, an estimated 40,000 to 80,000 soldiers died as a result of avalanches during the mountain campaign in the Alps at the Austrian-Italian front, many of which were caused by artillery fire.[6] Earthquakes An earthquake is the result of a sudden release of energy in the Earth's crust that creates seismic waves. At the Earth's surface, earthquakes manifest themselves by vibration, shaking and sometimes displacement of the ground. -
HRPP367-Hydrodynamic and Loss... the 1953 Canvey Island Flood
Hydrodynamic and loss of life modelling for the 1953 Canvey Island fl ood HRPP 368 Manuela Di Mauro & Darren Lumbroso Reproduced from: Flood Risk Management - Research and Practice Proceedings of FLOODrisk 2008 Keble College, Oxford, UK 30 September to 2 October 2008 Flood Risk Management: Research and Practice – Samuels et al. (eds) © 2009 Taylor & Francis Group, London, ISBN 978-0-415-48507-4 Hydrodynamic and loss of life modelling for the 1953 Canvey Island flood Manuela Di Mauro & Darren Lumbroso HR Wallingford Ltd, Wallingford, Oxfordshire, UK ABSTRACT: Canvey Island is located in the Thames Estuary. The island is a low-lying alluvial fan covering an area of 18.5 km2, with an average height of approximately 1 m below the mean high water level. Canvey Island is protected against inundation by a network of flood defences. In 1953, the island was inundated by the “Great North Sea Flood” that breached the island’s flood defences and resulted in the deaths of 58 people and the destruction of several hundred houses. As part of the EC funded research project FLOODsite, work was undertaken to set up both a hydrodynamic and an agent-based loss-of-life model of Canvey Island for the 1953 flood. The objective of the work was to obtain a better understanding of the 1953 flood event and to analyse the consequences of breaches in the island’s flood defences in terms of loss of life and injuries. The work under- taken indicates that the agent-based life safety model can provide a scientifically robust method to assess loss of life, injuries and evacuation times for areas that are at risk from flooding in the UK. -
MAS8306 Topics in Statistics: Environmental Extremes
MAS8306 Topics in Statistics: Environmental Extremes Dr. Lee Fawcett Semester 2 2017/18 1 Background and motivation 1.1 Introduction Finally, there is almost1 a global consensus amongst scientists that our planet’s climate is changing. Evidence for climatic change has been collected from a variety of sources, some of which can be used to reconstruct the earth’s changing climates over tens of thousands of years. Reasonably complete global records of the earth’s surface tempera- ture since the early 1800’s indicate a positive trend in the average annual temperature, and maximum annual temperature, most noticeable at the earth’s poles. Glaciers are considered amongst the most sensitive indicators of climate change. As the earth warms, glaciers retreat and ice sheets melt, which – over the last 30 years or so – has resulted in a gradual increase in sea and ocean levels. Apart from the consequences on ocean ecosystems, rising sea levels pose a direct threat to low–lying inhabited areas of land. Less direct, but certainly noticeable in the last fiteen years or so, is the effect of rising sea levels on the earth’s weather systems. A larger amount of warmer water in the Atlantic Ocean, for example, has certainly resulted in stronger, and more frequent, 1Almost... — 3 — 1 Background and motivation tropical storms and hurricanes; unless you’ve been living under a rock over the last few years, you would have noticed this in the media (e.g. Hurricane Katrina in 2005, Superstorm Sandy in 2012). Most recently, and as reported in the New York Times in January 2018, the 2017 hurricane season was “..