Quarterly Newsletter November 2018

Climate science, economics and politics

Thomas Mortlock and Ryan Crompton

The science

Twenty-eight years on from the First Assessment Report in 1990, the IPCC’s most recent Special Report on Global Warming delivers an urgent warning to policymakers that we are reaching the point of no return for mitigating anthropogenic impacts on global warming and associated climate change. The report has divided opinion in Australia and further highlights the discord between climate science, economics and politics nationally.

The report finds that limiting global warming to 1.5°C would now require rapid and unprecedented change in all aspects of society. The report highlights that we are already seeing the consequences of 1°C of global warming through more extreme weather, rising sea levels and diminishing Arctic sea ice.

While 1.5°C may seem a small increase, it is how changes in mean temperatures are related to extreme weather events that is important.

A small increase in the mean temperature also shifts the tails of the distribution, meaning it may impact extreme weather events that are temperature-dependent. However, any relationship between increasing mean global air temperature and extreme weather will be complex, and both peril and location-dependent.

Prof Andy Pitman, from the University of New South Wales and Director of the ARC Centre of Excellence for Climate Extremes, described this in an anecdote to BBC News back in January:

“the probability works a bit like if you stand at sea level and throw a ball in the air, and then gradually make your way up a mountain and throw the ball in the air again. The chances of the ball going higher increases dramatically. That’s what we’re doing with temperature.”

As an industry partner of the ARC Centre of Excellence, Risk Frontiers are looking to couple their cat modelling infrastructure to downscaled climate change projections to model the impacts on a peril-by-peril basis for business.

The economics

A day after the IPCC report was published, the Royal Swedish Academy of Sciences awarded William Nordhaus and Paul Romer the Nobel Memorial prize for economics for their work on climate change and economic growth.

Since the 1970s, Prof. Nordhaus has been warning governments that their economic models were not properly taking into account the impact of global warming. Similarly, Prof. Romer developed the “endogenous growth theory”: the notion that countries can improve their underlying performance if they concentrate on supply-side measures such as research and development, innovation and skills. He argues that the creation and spread of ideas – whether that be around climate change or otherwise – is necessary for economic growth.

Understanding the economic costs of climate-related damages is essential to answering the question of how much society should be willing to pay to avert that damage (The Economist, 2018). Prof. Nordhaus’ work addresses this issue by modelling the economic harm of carbon emissions, thus allowing him to estimate the likely economic costs of the different IPCC Representative Concentration Pathways (RCPs).

Prof. Romer believes it is perfectly possible for global warming to be kept to a maximum of 1.5°C:

“Once we start to try to reduce carbon emissions, we’ll be surprised that it wasn’t as hard as we anticipated. The danger with very alarming forecasts is that it will make people feel apathetic and hopeless. One problem today is that people think protecting the environment will be so costly and so hard that they want to ignore the problem and pretend it doesn’t exist.”

The politics

The IPCC report is published at a time of international discord on climate mitigation, with most scientists acknowledging that the likelihood of achieving a plateau at the proposed 1.5 °C is very small. This is essentially a reflection on the myopic nature of global political institutions, and the opposing long-term nature of the problem at hand.

It also highlights the divisive nature of climate change in Australia. As elsewhere, it has become entangled with political agendas, class, energy and living standards. However, unlike elsewhere, adaptation to climate change has yet to occupy an ongoing, cross-party role in government policy as it has done, for example, in Europe. It has exposed an interesting divide between sectors that has come to the fore in recent years – with banking, insurance and industry at large leading the charge in understanding climate change risk and exposures. APRA, the Australian Prudential Regulation Authority, has ensured momentum here when in February 2017 Geoff Summerhayes declared climate change can no longer be considered a future financial risk:

“While climate risks have been broadly recognised, they have often been seen as a future problem or a non-financial problem. The key point I want to make today, and that APRA wants to be explicit about, is that this is no longer the case. Some climate risks are distinctly ‘financial’ in nature. Many of these risks are foreseeable, material and actionable now. Climate risks also have potential system-wide implications that APRA and other regulators here and abroad are paying much closer attention to.”

The bottom line

The global impasse on mitigation efforts only serves to highlight the importance of climate change adaptation planning and risk management in Australia. We’ll need to continue to adjust to the effects of climate change in the absence of addressing the underlying sources, but, ideally, we’d do both. If we believe the economics of the two most recent Nobel prize recipients, this may not be as costly as we think.

References

APRA (2017). Australia’s new horizon: climate change challenges and prudential risk. Geoff Summerhayes, Executive Member – Insurance Council of Australia Annual Forum, Sydney.

BBC News (2018). How Australia’s extreme heat might be here to stay. BBC News article by Adam Morton, Hobart, 13 January 2018.

IPCC (2018). The special report on global warming of 1.5°C: summary for policymakers.

The Economist (2018). The Nobel prize for economics is awarded for work on the climate and economic growth. Economist Business and Finance article, 8 October 2018.


Responses to the Lombok Earthquake, 2018 – Rapid Assessment Study

Jonathan van Leeuwen, Andrew Gissing and Ashley Avci

The recent earthquake that occurred in Lombok in August, 2018, presented an opportunity to study the responses of those affected in the immediate aftermath of the event. We find that tourists caught up in disasters are uniquely vulnerable. Few followed the encouraged actions of what to do in the event of an earthquake and most were reliant on local residents and tourist operators for advice. This article summarises the earthquake and how people responded and provides some reflections for policy makers.

Background

The island of Lombok is located in the Nusa Tenggara Barat Region of Indonesia. It lies on the boundary between the Australian Plate and the Sunda Plate, which has produced numerous powerful earthquakes in the past. The region is a popular tourist destination, with rapidly increasing numbers of visitors since developed countries lifted travel warnings following the 2002 and 2005 Bali bombings and the SARS (severe acute respiratory syndrome) outbreak between 2002 and 2004. Tourism is a major source of income for Lombok and the neighbouring Bali and Gili Islands, with millions of visitors from around the world each year.

The August 5, 2018, Mw6.9 earthquake occurred as the result of shallow thrust faulting on or near the Flores Back Arc Thrust. The earthquake occurred in a subduction plate boundary region where the Sunda and Australia plates converge (USGS, 2018). In the region surrounding the location of the earthquake, there have been six other events of Mw6.5 or larger over the previous century. Four of these are likely to have occurred on the Back Arc Thrust system: a Mw6.5 in the Bali region to the west of Lombok in July 1976 and three events of Mw6.5, Mw6.5 and Mw6.6 in the Sumbawa region to the east of Lombok in November 2007 and November 2009. The Sumbawa earthquakes were associated with several deaths, hundreds of injuries and the destruction of hundreds of houses. This history of recent earthquakes means that locals would have been familiar with the impacts of damaging earthquakes.

Figure 1: Earthquake location with regional context

The earthquake occurred at a depth of 31.0km, centred at the northern tip of Lombok. The local time was 7:46pm. It was preceded by a main foreshock on July 29, 2018 of Mw6.4, and numerous aftershocks including a Mw5.9 event on August 9, 2018 (USGS, 2018). The earthquake caused severe shaking in Lombok and surrounding islands, including Bali and the Gili Islands, and was felt as far as Sumbawa in the east (Cochrane, 2018) and Trenggalek Regency in the west (Solichah, 2018). Following the earthquake, tsunami warnings were issued: however, the maximum expected height was only half a metre and the warning was later cancelled.

Most of those affected by the earthquake were in North Lombok, East Lombok and Mataram City. Reports indicated that there were 392 fatalities, 1,353 injuries and damage to 67,875 houses, 606 schools, six bridges, three hospitals, ten health centres, 15 mosques, 50 prayer rooms and 20 office units (Badan Nasional Penanggulangan Bencana, 2018).

It is important for emergency managers to have an understanding of human behaviour during extreme events so that they can best develop their plans. In an effort to understand the behaviour of tourists and others following the earthquake, researchers from Risk Frontiers conducted a rapid assessment study utilising media analysis containing interviews with survivors. The method involved locating some 120 news articles sourced from a variety of online international, national and local media outlets. From these articles, interviews with 146 people who experienced the earthquake were extracted and analysed to identify damage that occurred and how people behaved during and after the earthquake.

Results

A significant majority of interviewees were tourists (n=102), who conducted interviews with media outlets from their home countries either remotely or after returning home. Other interviews included local residents (n=20) and expats (n=9), with a further ten not stating where they were from.

At the time of the earthquake, interviewees were located on the island of Bali, approximately 50km to the east of Lombok (n=54); on Lombok (n=40); on the Gili Islands (n=28) and at other locations in the area (n=3). Twenty of those interviewed did not state where they had been at the time of the earthquake.

The interviewees came from a variety of nations, including Australia (n=38), Indonesia (n=25), Britain (n=23), Ireland (n=9), New Zealand (n=8), America (n=7), Singapore (n=5), France (n=4), South Africa (n=3), Canada (n=2), and one interviewee each from Africa (country unstated), Belgium, Denmark, the Netherlands, Malta, Pakistan and Spain. The age of interviewees was captured either by statement in the article or by approximation if a photo was available. Of those interviewed, 99 were categorised between 18 and 60 years old. Three were recorded as above 60 years old, and one was less than 18.

Most interviewees said they were with other adult/s when the earthquake occurred (n=51), or with both children and adult/s (n=24). Ten interviewees said they were with someone but didn’t specify their age/s and nine said they were alone.

In relation to their location at the time of the earthquake, interviewees stated that they were at a restaurant (n=29), in a hotel (size not stated) (n=14), at home and awake (n=9), in a single storey hotel (n=8), in a multi storey hotel (n=7), at home and asleep (n=3), in a shop or shopping centre (n=3), at the beach (n=2), on a footpath (n=2), in a car (n=1) or on a boat (n=1).

Consequences the interviewees observed from the earthquake included collapsed buildings (n=45), debris/objects falling (n=25), injuries (n=23), power cuts (n=22), loss of water from swimming pools (n=15), cracked walls (n=13), food shortages (n=11), deaths (n=11), water shortages (n=6), broken glass (n=4), downed cables (n=4), loss of sanitation (n=2), ground subsidence or uplift (n=1), flooding (n=1) and fires (n=1). Those located in Lombok and the Gili islands observed the most significant damage.

During the earthquake, interviewees most commonly reported, of their own behaviour, that they ran outside (n=43). Others reported that they dropped to the ground as they could not remain standing (n=5), sheltered under a table or bed (n=5), ran outside onto the beach (n=4), moved away from buildings (n=4), sheltered in doorways (n=3), deliberately dropped to the ground (n=2) or moved away from trees (n=2).

During the earthquake, interviewees observed others most commonly either running from buildings (n=44) or screaming (n=37). Other observed behaviours were crying (n=10), moving away from buildings (n=7), caring for others (n=4), running specifically to the beach (n=4), seeking shelter under tables or beds (n=3), holding onto objects or other people (n=3), panicking (n=3), seeking shelter under doorways (n=2), calling or messaging others (n=2) and dropping to the ground (n=1), reporting they could not stand.

Immediately after the earthquake, those interviewed moved to higher ground (fearing a tsunami) (n=29), sought advice on what to do from locals (n=9) or from hotel reception/staff (n=6), gave first aid to the injured (n=4), called or messaged someone (n=4), informed others of tsunami threat levels (n=3), climbed trees (fearing a tsunami) (n=3), searched for family member/s or friend/s (n=3), put on life jackets (fearing a tsunami) (n=2), assisted rescuing trapped person/s (n=2), were themselves incapacitated/requiring treatment (n=2) or extinguished fires (n=1).

Interviewees observed that immediately after the earthquake, others moved to higher ground (n=24), were screaming (n=12), panicking (n=11), caring for others (n=10), running (n=5), assisting the injured (n=5), crying (n=5), remaining on the beach (n=4), calling others (n=4), climbing trees (n=3), searching for others (n=3) or moving debris (n=1).

People said their actions immediately after the earthquake were directed by local residents (n=9), hotel staff (n=9), local authorities (n=3), other tourists (n=2) or by a minister of religion (n=1).

For those interviewees who said they contacted someone, contacts included their parent/s (n=8), other relative/s (n=3), friend/s (n=2), spouse/partner (n=2), children (n=1), authorities (n=1), neighbour/s (n=1) and a stranger (n=1). Six people contacted someone but did not specify who.

Many of those interviewed were not from countries which are associated with high earthquake risk. People’s previous experiences of earthquakes or education provided in their country of origin may have influenced some responses. This possibility is evidenced by the following responses:

“Everyone I spoke to just wants to get out but there’s not one free seat out of here today. About 90 per cent of us were westerners and we’re not trained for how to react in this situation.” (Interviewee from a country not prone to quakes) (Darvall and O’Shea, 2018).

“It’s scary when the ground is buckling under your feet. My partner and I were out of bed and under the table in a flash and we then immediately evacuated the house. When I was a child at school we had earthquake drills. Best training ever.” (Interviewee from a quake-prone country) (NZ Herald, 2018).

Descriptions of interviewees’ emotions during and immediately after the quake included feeling fearful (n=37), panicked (n=14), calm (n=9), concerned (n=7), upset (n=5), terrified (n=5), in shock (n=4), apathetic (n=2), surreal (n=2), and other (n=6). Some 83 interviewees did not state their emotions during and immediately after the quake.

Interviewees said they obtained information about tsunami risk from local residents (n=9), the internet (n=6), warning sirens (or the lack thereof) (n=4), social media (n=3), hotel staff (n=2), calling family or friends at home (n=2), other tourists (n=2), local authorities (n=2), observing the ocean (n=2) or overhearing other people (n=2).

Over subsequent days, a significant number of people said they evacuated soon after (n=29). Some stayed to assist rescue, medical or relief efforts (n=11), although these were mainly locals and expats.

The evacuation of tourists from the Gili Islands was said to be chaotic due to the combination of the lack of capacity to evacuate tourists and the fearful state of tourists and locals. There were reports of long waits, pushing and shoving and passage being offered to the highest bidders. Those interviewees who experienced the evacuation described it as:

“People were just throwing their suitcases on board and I had to struggle to get my husband on, because he was bleeding.” (Embury-Dennis, 2018).

“We just witnessed one of the boats get completely overfilled with tourists climbing on, with the officials trying to keep them back off the boat, pushing them and shoving them. That boat still hasn’t left yet.” (ABC News, 2018).

“People are punching and hitting each other.” (Osborne, 2018).

Discussion and conclusion

Many tourist destinations both within Australia and abroad are susceptible to a range of natural hazard risks. For example, some 26 Australians lost their lives during the Asian tsunami in 2004.

Often, many of the elements that make locations aesthetically appealing to tourists are associated with natural hazard risk. For example, warm, shallow seas and sandy islands make idyllic tropical resort getaways, but these places are often at risk from severe weather, while scenic mountain vistas are often the product of tectonic activity which causes earthquakes and volcanism.

Tourists are uniquely vulnerable. Tourists may be unaware of risks present at their destination, lack local support networks and encounter cultural and communication barriers. Research has previously shown that tourists behave differently to locals. During evacuations they tend not to shelter with family and friends, but seek shelter at public evacuation centres, simply return home or find another hotel (Drabek, 1999). Observations from the Lombok disaster support such conclusions: in particular, that many tourists simply leave soon after a disaster and are reliant on locals for direction.

Many of those interviewed ran from buildings or observed others running from buildings. This behaviour is in conflict with actions encouraged by international and local authorities, which promote the actions of drop, cover and hold.

Counter to some research that suggests that people do not panic in the aftermath of disasters (Lorenz et al. 2018), observations from this event show that panic and chaos can occur. This suggests that in more extreme and less predictable events, panic and chaos is likely or that tourists are more likely to panic. Such questions require further exploration.

Promotion of disaster risk by travel agents and tourism operators conflicts with wider tourism promotion. The Australian Department of Foreign Affairs does provide some details about natural hazard risk on its Smartraveller website, although more needs to be done than passively informing travellers. There could be an opportunity to engage with the medical profession and travel health clinics to promote natural hazard risk and safety behaviours at the time travellers seek travel health advice.

Finally, tourists in Australia are not immune from the impacts of natural hazards, as illustrated by the impacts of Cyclone Debbie in the Whitsunday Region. It is important that tourism operators are engaged regarding disaster preparedness and connected with disaster management structures.

References

ABC News (2018). Witness describes chaos when earthquake hit the Gili Islands. ABC News. 7 August 2018. [Accessed 8 Oct. 2018].

Badan Nasional Penanggulangan Bencana (2018). Korban Gempa Lombok Terus Bertambah, 392 Orang Meninggal Dunia. [online] Available at: https://www.bnpb.go.id/korban-gempa-lombok-terus-bertambah-392-orang-meninggal-dunia [Accessed 31 Aug. 2018].

Cochrane, J. (2018) Powerful Indonesia earthquake kills at least 82. The New York Times. 5 August 2018. [Accessed 10 Oct. 2018].

Darvall, K and O’Shea, M. (2018). ”I just want to get off the island now”: Bondi restaurant owner shares terrifying evacuation footage after earthquake hit Lombok while he was holidaying with his girlfriend. Daily Mail Australia. 6 August 2018. [Accessed 8 Oct 2018].

Drabek, T.E. (1999). Disaster evacuation responses by tourists and other types of transients. International Journal of Public Administrations, 22(5), pp.665-677.

Embury-Dennis, T. (2018). Lombok earthquake: tourists “forced to pay to board rescue ships”. The Independent. 6 August 2018. [Accessed 8 Oct. 2018].

Lorenz, D.F., Schulze, K. and Voss, M., (2018) Emerging citizen responses to disasters in Germany. Disaster myths as an impediment for a collaboration of unaffiliated responders and professional rescue forces. Journal of Contingencies and Crisis Management, 26 (3), pp.358-367.

Osborne, S. (2018). Lombok earthquake latest: tourists flee Indonesian island after powerful magnitude-7 quake kills at least 98. The Independent. 6 August 2018. [Accessed 8 Oct. 2018].

Solichah, Z. (2018). Warga Jember dan Banuwangi rasakan gempa Lombok. Antara News. 5 August 2018. [Accessed 10 Oct. 2018].

USGS (2018). M 6.9 – 0km SW of Loloan, Indonesia. [online] Available at: https://earthquake.usgs.gov/earthquakes/eventpage/us1000g3ub#executive [Accessed 31 Aug. 2018].

NZ Herald (2018). New Zealanders in Indonesia describe the violence of Lombok earthquake. NZ Herald. 8 August 2018. [Accessed 8 Oct. 2018].

The 2018 Lake Muir Earthquakes

Paul Somerville, Risk Frontiers.

A second earthquake with magnitude larger than 5 occurred today (November 9, 2018) near Lake Muir in southwestern Western Australia, and Geoscience Australia assigned it a magnitude of 5.4.  This earthquake, shown by the large red dot in Figure 1, occurred about 10 km southeast of the magnitude 5.7 earthquake that occurred on 17 September 2018.   The aftershocks of today’s earthquake, shown by small red dots in Figure 1, are located at the southern end of the aftershock zone of the September 17 event, shown by the yellow dots. Today’s earthquake was preceded by a series of foreshocks that occurred overnight, and was felt between Albany and Perth. The shaking intensities of the two earthquakes are shown in Figures 2 and 3.

Figure 1. Locations of earthquakes near Lake Muir. Source: Geoscience Australia
Figure 2. Shakemap of the 9 November Lake Muir earthquake. Source: USGS
Figure 3. Shakemap of the 17 September Lake Muir earthquake. Source: USGS

The orientation of the fault plane on which the 17 September earthquake occurred is shown on a Wulf net projection in Figure 4. This shows that the earthquake had a thrust mechanism on a fault plane striking east-northeast. The InSAR (interferometric Synthetic Aperture Radar) map in Figure 5 shows that the west side moved up and the east side moved down on a plane dipping down to the west-northwest.  The change in elevation along this dip direction is shown at the upper left of Figure 5.

Figure 4. Focal mechanism of the 17 September 2018 earthquake. Source: USGS
Figure 5. Uplift on the west side and subsidence on the east side of the fault that caused the 17 Sept 2018 earthquake. The uplift and subsidence profile along the line A-B as shown in the inset at top left.

The two earthquakes are shown by the yellow stars on a map of historical earthquake epicentres in the Southwest Western Australia Seismic Zone (SWWASZ) in Figure 6.  The contours show annual probability of events of magnitude 5 and above from QuakeAUS6. The two earthquakes occurred on the southwestern edge of the SWWASZ.

Figure 6. Locations of the Lake Muir earthquakes (yellow stars) on the southwestern edge of the Southwest Western Australia Seismic Zone. Source: QuakeAUS6

As described in our Briefing Note 373,  we have recently released our new probabilistic earthquake loss model for Australia, QuakeAUS 6.0. The updated model, developed by Dr Valentina Koschatzky with input from Risk Frontiers’ Chief Geoscientist, Dr Paul Somerville, incorporates Geoscience Australia’s recent revision of the Australian Earthquake Catalogue (Allen et al., 2017), which has more than halved the rate of earthquakes exceeding 4.5 in magnitude.  The main features of the new model are:

  • New Distributed Earthquake Source Model (based on RF analysis of the new GA catalogue – 2018)
  • Inclusion of an Active Fault Model
  • Updated Soil Classification (McPherson 2017)
  • Updated Soil Amplification Model (Campbell & Bozorgnia 2014)
  • Updated Variable Resolution Grid (VRG), Exposure & Market Portfolio
    (Gnaf_201802 + Nexis 9)

Mystery of the cargo ships that sink when their cargo suddenly liquefies


After the Christchurch earthquake sequence we are very aware of liquefaction and the large scale damage it was responsible for. It may come as a surprise to learn that liquefaction is a big safety issue for the shipping industry where it is sometimes called dry cargo liquefaction or dynamic separation. The article below was written by Susan Gourvenec a professor of offshore geotechnical engineering at the University of Southampton. It was printed in Ars Technica, a website covering news and opinions in technology, science, politics, and society. It publishes news, reviews, and guides on issues such as computer hardware and software, science, technology policy, and video games.


A lot is known about the physics of the liquefaction, yet it’s still causing ships to sink.

Boats carrying grain on the Great Lakes in November 1918

Think of a dangerous cargo, and toxic waste or explosives might come to mind. But granular cargoes such as crushed ore and mineral sands are responsible for the loss of numerous ships every year. On average, 10 “solid bulk cargo” carriers have been lost at sea each year for the last decade.

Solid bulk cargoes – defined as granular materials loaded directly into a ship’s hold – can suddenly turn from a solid state into a liquid state, a process known as liquefaction. And this can be disastrous for any ship carrying them – and its crew.

In 2015, the 56,000-tonne bulk carrier Bulk Jupiter rapidly sank around 300km south-west of Vietnam, with only one of its 19 crew surviving. This prompted warnings from the International Maritime Organization about the possible liquefaction of the relatively new solid bulk cargo bauxite (an aluminum ore).

A lot is known about the physics of the liquefaction of granular materials from geotechnical and earthquake engineering. The vigorous shaking of the Earth causes pressure in the ground water to increase to such a level that the soil “liquefies.” Yet despite our understanding of this phenomenon (and the guidelines in place to prevent it occurring), it is still causing ships to sink and take their crew with them.

Solid bulk cargoes

Solid bulk cargoes are typically “two-phase” materials, as they contain water between the solid particles. When the particles can touch, the friction between them makes the material act like a solid (even though there is liquid present). But when the water pressure rises, these inter-particle forces reduce and the strength of the material decreases. When the friction is reduced to zero, the material acts like a liquid (even though the solid particles are still present).

A solid bulk cargo that is apparently stable on the quayside can liquefy because pressures in the water between the particles build up as it is loaded onto the ship. This is especially likely if, as is common practice, the cargo is loaded with a conveyor belt from the quayside into the hold, which can involve a fall of significant height. The vibration and motion of the ship from the engine and the sea during the voyage can also increase the water pressure and lead to liquefaction of the cargo.

When a solid bulk cargo liquefies, it can shift or slosh inside a ship’s hold, making the vessel less stable. A liquefied cargo can shift completely to one side of the hold. If it regains its strength and reverts to a solid state, the cargo will remain in the shifted position and cause the ship to permanently tilt (or “list”) in the water. The cargo can then liquefy again and shift further, increasing the angle of list.

At some point, the angle of list becomes so great that water enters the hull through the hatch covers, or the vessel is no longer stable enough to recover from the rolling motion caused by the waves. Water can also move from within the cargo to its surface as a result of liquefaction and subsequent sloshing of this free water can further impact the vessel’s stability. Unless the sloshing can be stopped, the ship is in danger of sinking.

The International Maritime Organization has codes governing how much moisture is allowed in solid bulk cargo in order to prevent liquefaction. So why does it still happen?

The technical answer is that the existing guidance on stowing and shipping solid bulk cargoes is too simplistic. Liquefaction potential depends not just on how much moisture is in a bulk cargo but also other material characteristics, such as the particle size distribution, the ratio of the volume of solid particles to water and the relative density of the cargo, as well as the method of loading and the motions of the vessel during the voyage.

The production and transport of new materials, such as bauxite, and increased processing of traditional ores before they are transported, means more cargo is being carried whose material behavior is not well understood. This increases the risk of cargo liquefaction.

Commercial agendas also play a role. For example, pressure to load vessels quickly leads to more hard loading even though it risks raising the water pressure in the cargoes. And pressure to deliver the same tonnage of cargo as was loaded may discourage the crew of the vessel draining cargoes during the voyage.

What’s the solution?

To tackle these problems, the shipping industry needs to better understand the material behavior of solid bulk cargoes now being transported and prescribe appropriate testing. New technology could help. Sensors in a ship’s hold could monitor the water pressure of the bulk cargo. Or the surface of the cargo could be monitored, for example using lasers, to identify any changes in its position.

The challenge is developing a technology that is cheap enough, quick to install and robust enough to survive loading and unloading of the cargo. If these challenges can be overcome, combining data on the water pressure and movement of the cargo with information on the weather and the ship’s movements could produce a real-time warning of whether the cargo is about to liquefy.

The crew could then act to prevent the water pressure in the cargo rising too much, for example, by draining water from the cargo holds (to reduce water pressure) or changing the vessel’s course to avoid particularly bad weather (to reduce ship motions). Or if those options are not possible, the crew could evacuate the vessel. In this way, this phenomenon of solid bulk cargo liquefaction could be overcome, and fewer ships and crew would be lost at sea.


Susan Gourvenec is a professor of offshore geotechnical engineering at the University of Southampton. This article was originally published on The Conversation and has been lightly edited to conform to Ars Technica style guidelines. Read the original article.

 

 

 

 

 

 

 

 

Catastrophe planning research highlighted

Macquarie University’s Lighthouse publication recently showcased research being undertaken by Risk Frontiers’ Andrew Gissing on planning and capability requirements for catastrophic events. This research, undertaken through the Bushfire and Natural Hazards Cooperative Research Centre, is investigating better practice approaches to planning and preparedness for extreme events that may overwhelm existing response frameworks. You can read the story highlighting the research in the context of the recent Sulawesi earthquake and tsunami here:
https://lighthouse.mq.edu.au/article/october/sulawesis-earthquake-and-tsunami-provide-key-insights-into-catastrophe-response

The IPCC Special Report on Global Warming: The Great Divider

Thomas Mortlock

Twenty-eight years on from the First Assessment Report in 1990, the IPCC’s most recent Special Report on Global Warming delivers an urgent warning to policymakers that we are reaching the point of no return for mitigating anthropogenic impacts on global warming and associated climate change. The report has divided opinion in Australia and further highlights the polarising power of climate change across government, academia and industry.

The report finds that limiting global warming to 1.5 °C, although “possible within the laws of chemistry and physics”, would now require rapid and unprecedented change in all aspects of society. Global net human-caused emissions of CO2 would need to fall by approximately 45 percent from 2010 levels by 2030, reaching ‘net zero’ around 2050. This means that any remaining emissions would need to be balanced by utilising as-yet under-developed technologies to remove CO2 from the air.

The report also highlights that we are already seeing the consequences of 1 °C of global warming through more extreme weather, rising sea levels and diminishing Arctic sea ice. One of the difficulties in communicating the impacts of seemingly small increases in mean temperatures is related to how this affects extreme weather events. The immediate reaction of many to “a 1 °C temperature increase” is to imagine oneself lying on a beach at 24 °C and then at 25 °C with global warming. Not that bad, right?

The key notion is that a small increase in the mean temperature also shifts the tails of the distribution, meaning the probability of extreme weather events increases just as much – and sometime more (depending on the shape of the distribution) – as the shift in the mean temperature (Figure 1). Prof Andy Pittman, the director of the ARC Centre of Excellence for Climate Extremes at the University of New South Wales, describes this nicely in an anecdote to BBC News back in January:

“the probability works a bit like if you stand at sea level and throw a ball in the air, and then gradually make your way up a mountain and throw the ball in the air again. The chances of the ball going higher increases dramatically. That’s what we’re doing with temperature.”

Figure 1 Small changes in the averages of many key climate variables can correspond to large changes in weather. Source: Solomon et al. (2007).

What the report says

Abridged findings from the report that have high confidence (80 % chance) are:

  1. Global warming is likely to reach 1.5 °C between 2030 and 2052 if temperatures continue to increase at the current rate (Figure 2);
  2. There are robust differences in climate model projections of regional climate characteristics between present-day and global warming of 1.5 °C and between 1.5 °C and 2 °C, most notably sea level rise and extreme heat;
  3. Most climate change adaptation needs will be lower for global warming of 1.5 °C compared to 2 °C;
  4. Estimates of the global emissions outcomes of current nationally stated mitigation ambitions as per the Paris Agreement would not limit warming to 1.5 °C, even if supplemented by challenging emissions reductions after 2030.

Figure 2 Observed monthly global mean surface temperature change and likely modelled responses to anthropogenic emission and forcing pathways relative to the 1.5 ° C threshold, extending to 2.0 ° C. Source: Figure SPM.1 in IPCC (2018).

The report advocates for anthropogenic climate change to be limited to 1.5 °C, and cites considerable additional impacts for land, energy, industry, buildings and transport in a “2° C world”. The marine world is singled out for particular impacts under a 2° C scenario, with modelling and observations suggesting the large-scale die-out of tropical coral reefs including, of course, the Great Barrier Reef (GBR).

Changes to the GBR not only have direct impacts for marine biodiversity, but also for cyclone risk along the adjacent mainland coast, which would potentially experience higher storm surge and wave exposure under a combination of rising sea levels and reduced energy dissipation by coral reefs.

The backdrop

The report is published at a time of international discord on climate mitigation, with most scientists acknowledging that the likelihood of achieving a plateau at the proposed 1.5 °C is very small. This is essentially a reflection on the myopic nature of global political institutions, and the opposing long-term nature of the problem at hand.

It also highlights the divisive nature of climate change in Australia. As elsewhere, it has become entangled with political agendas, class, energy and living standards. However, unlike elsewhere, adaptation to climate change has yet to occupy a central role in government policy as it has done, for example, in Europe. It has exposed an interesting divide between sectors that have come to the fore in recent years – with banking, insurance and industry at large leading the charge in understanding climate change risk and exposures, and the federal government lagging.

The righteous indignation of some in the public eye too often overshadows the high standards of objectivity, self-imposed on the science community, in delivering the most robust findings possible. This was highlighted last week by the coincidental media release of an ‘audit’ of climate data used by climate models, undertaken as part of a PhD at James Cook University, with the apparent intention of undermining the IPCC’s report.

The audit claims that the underlying data used by Global Climate Models (GCM) is unfit for purpose, citing concerns around temperature anomalies, coverage and sample size, and that GCM predictions cannot be relied on as a result.

While the audit was undertaken as part of a high-quality PhD thesis (McLean, 2017), it is as yet unpublished in the peer-reviewed scientific literature. The concerns over observational data coverage and sample size in years prior to the satellite era are well known and this is why climate reanalysis data should be handled with care – particularly in the Southern Hemisphere.

The assertion that a limited number of spurious temperature anomalies in observational records would distort the global suite of ensemble climate model output is difficult to prove, given the strict uncertainty estimates and sampling checks climate institutions such as the Bureau of Meteorology and the UK Met Office undertake. However, it is still important that end-users understand the multiple layers of uncertainty inherent in climate modelling.

By comparison, the IPCC’s report included the contributions of 91 climate experts from 40 different countries and draws on over 6,000 cited references. The simultaneous reporting of both the climate audit and the IPCC report in the media gives equal weighting to the two and undermines the climate science, at an important juncture for climate politics internationally.

The implications

The global impasse on mitigation efforts only serves to highlight the importance of climate change adaptation planning and risk management in Australia, as we transition to a period in which we look to accommodate climate change impacts rather than reduce them, or indeed to utilize a combination of the two.

It also suggests (fascinatingly, from a data science perspective) that, as anthropogenic warming proceeds, we may no longer be able to apply the near-past to predict near-future climate risk as relationships between climate variables in the short-term past become no longer valid.

References

BBC News (2018). How Australia’s extreme heat might be here to stay. BBC New article by Adam Morton, Hobart, 13 January 2018, available https://www.bbc.com/news/world-australia-42657234.

IPCC (2018) The Special Report on Global Warming of 1.5 °C: Summary for Policymakers, available http://www.ipcc.ch/report/sr15/.

McLean, J.D. (2017) An audit of uncertainties in the HadCRUT4 temperature anomaly dataset plus the investigation of three other contemporary climate issues. PhD thesis, James Cook University, available https://researchonline.jcu.edu.au/52041/.

Solomon, S., et al. (2007) Technical Summary. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.

Risk Frontiers Seminar Series 2018


Wednesday 31st October, 2018
at
The Museum of Sydney
cnr Bridge and Phillip Streets, Sydney
2pm until 4.30pm followed by light refreshments in the foyer.


The focus on natural hazards, climate change and cyber risk is rising. The world economic forum has identified extreme weather as the number one global risk. Australian company directors must consider risks associated with a changing climate and the Commonwealth Government are set to deliver a national framework for disaster mitigation. Major advances have been made in modelling earthquake risks and cyber remains a significant challenge for industry. Cutting edge scientific research and policy thinking has never been more important.

The 2018 Risk Frontiers’ seminar series continues a well- forged tradition of sharing scientific knowledge with the Australian insurance and disaster management industry. Come along to hear from our experts about the latest in science, policy and modelling advances, and join the team for light refreshments. This year we also welcome Barry Hanstrum, formally the Regional Director for the Bureau of Meteorology, to deliver an informative key note about the risks posed by East Coast Lows. We look forward to seeing you on the 31st of October.

John McAneney
Managing Director


Programme:

Keynote Speakers:

Shaking it up: QuakeAUS reborn (6.0) – Paul Somerville and Valentina Koschatsky
Stormy horizon: the East Coast Low effect – Barry Hanstrum

Speed Talks – Modelling

Phoenix rising: FireAUS 3.0 – Mingzhu Wang
Shaken not stirred: Quake NZ 4.0 – Niyas Madappatt
A family of floods: improving cross-catchment relationships in FloodAUS – Thomas Mortlock

Speed Talks – Research

Towards modelling cyber risk – Tahiry Rabehaja
The new normal: ICA List revisited – John McAneney
A tale of two catastrophes: what determines behavior during disasters? – Andrew Gissing


Registration:

Employees of Sponsor Companies
Attendance is free for employees of our Sponsor companies and their subsidiaries (Aon Benfield, Guy Carpenter, IAG, QBE, Suncorp and Swiss Re). Please email your name, employer and email address to info@riskfrontiers.com.

Alternatively you can complete the Invitation/Registration form and email it to info@riskfrontiers.com.

Employees of Non-Sponsor Companies
The cost for employees of non-sponsor companies is $250.00 ($227.27 plus GST $22.73). To register please visit Eventbrite.

Businesses can play an important role in disaster management

Risk Frontiers through the Bushfire and Natural Hazards Cooperative Research Centre is undertaking research into catastrophic disasters. As part of this research we are exploring how businesses can become more involved in the response to and recovery after major disasters. Risk Frontiers’ Andrew Gissing has recently published a piece in the Asia Pacific Fire Magazine summarising some thoughts on the topic. See link below.

Increasing emergency management capacity through the business sector

 

The 28 September Mw 7.5 Sulawesi Earthquake

Paul Somerville, Chief Geoscientist, Risk Frontiers

The 28 September Mw 7.5 Sulawesi Earthquake occurred on the Palu-Koro fault, which ruptured southward from the epicenter to a location south of Palu. The Palu-Koro fault is a strike-slip fault on which the two sides slide horizontally past each other (east side north and west side south on a fault aligned north-south in this case), and usually do not cause much vertical movement of the ground. In contrast, thrust faults (including subduction earthquake faults) are caused when one side is thrust under the other. Consequently they are much more likely to trigger a tsunami because the vertical movement of the ground raises a column of seawater, setting a tsunami in motion. Although most media attention has been focused on the tsunami, it is clear that strong near-fault ground motions from the earthquake caused massive structural damage and large scale soil liquefaction (which also caused major structural damage) before the arrival of the tsunami in Palu.

Map of the region surrounding the 28 September Mw 7.5 Sulawesi earthquake showing forecast tsunami inundation and arrival time contours. The north-south alignment of aftershocks (red dots) approximately outlines the location of the Palu-Koru fault rupture zone. Sources: USGS/Indonesia Tsunami Early Warning System/Reuters.

Fifteen earthquakes with magnitudes larger than 6.5 have occurred near Palu in the past 100 years. The largest was a magnitude 7.9 event on January 1996, about 100km north of the September 2018 earthquake. Several of these large earthquakes have also generated tsunamis. In 1927, an earthquake and tsunami caused about 50 deaths and damaged buildings in Palu, and in 1968 a magnitude 7.8 earthquake near Donggala generated a tsunami that killed more than 200 people.

Despite this local history and the 2004 Boxing Day Sumatra earthquake and tsunami, many people in Palu were apparently unaware of the risk of a tsunami following the earthquake. The tsunami occurred in an area where there are no tide gauges that could give information about the height of the wave. The Indonesian Tsunami Warning System issued a warning only minutes after the earthquake, but officials were unable to contact officers in the Palu area. The warning was cancelled 34 minutes later, just after the third tsunami wave arrived in Palu. It is likely that the bay’s narrow V-shape intensified the effect of the wave as it funneled through the narrow opening of the bay, inundating Palu at the end of the bay.

While it is possible that a more advanced tsunami warning system could have saved lives if it had been fully implemented, a system currently in the prototype stage may not have helped the people of Palu, as the tsunami arrived at the shore within 20 minutes of the earthquake. Such early warning systems are most useful for areas several hundred kilometres from the tsunami source. In regions like Palu where the earthquake and tsunami source are very close, education is the most effective warning system. If people feel more than 20 seconds of ground shaking, that should form the warning to immediately move to higher ground.

It is not yet clear whether the tsunami was caused by fault movement or by submarine landslides within Palu Bay triggered by shaking from the earthquake.  It is possible that the fault cut through a submarine slope, with the horizontal displacement of the sloping sea floor pushing the water aside horizontally, causing it to pile up in a wave. Alternatively, as seems more likely, the tsunami may have been generated by a submarine landslide within the bay. The sides of the bay are steep and unstable, and maps of the sea floor suggest that submarine landslides have occurred there in the past. In that case, even if there had been tsunami sensors or tide gauges at the mouth of the bay, they would not have sensed the tsunami before it struck the shore in Palu.

It is clear from images of building damage that there was strong ground shaking in Palu and surrounding regions, as would be expected in the near-fault region of an earthquake of this magnitude.  This shaking damage would have made structures even more vulnerable to the ensuing tsunami in low lying areas.

Another major cause of damage was the soil liquefaction in large areas within Palu and surrounding regions. Palu is situated on a plain composed of water saturated soft sandy soils. Images from the disaster area show large scale lateral spreading, in which buildings on chunks of thin brittle crust slide across the underlying liquefied sands as if they are flowing in the water. This has resulted in the total destruction of buildings in large areas, leaving a churned landscape composed of debris and buildings that have sunk into the liquefied soil.

Australian Tsunami Risk and Warning

Australia is sufficiently remote from major subduction earthquake source zones that there is enough time (a few hours) for tsunami warning for such events, and in any case the hazard from such tsunamis is quite low.  The main source of tsunami hazard may come from the occurrence of local earthquakes offshore that trigger submarine landslides on the continental slope.  Such earthquakes are thought to be infrequent, and so the hazard from them is thought to be low.  Marine surveys have been undertaken to identify potential locations of past underwater landslides and estimate their recency and frequency of occurrence. Such landslides would generate local tsunamis that would give little time for effective tsunami warning.

The Australian east coast has experienced at-least 47 tsunami events in historical time. The largest occurred in 1960 as a result of the 22 May 1960 Mw 9.6 earthquake in Chile, the largest earthquake in recorded history. The recorded wave height at Fort Denison in Sydney Harbour was 1 metre, strong flow velocities caused damage to boats in Sydney Harbour and the Hunter River, and there was some minor inundation at Batemans Bay.

The Australian Government operates the Australian Tsunami Warning System, and states and territories maintain disaster plans and education programs. In the rare event of a large tsunami generated by a local source, emergency services would likely be overwhelmed and faced with significant challenges in achieving access to impacted areas due to damage to infrastructure.

Recovering local sociality: learnings from post-disaster community-scale recoveries

Local sociality, which is local people’s everyday lives in and with their community, influences recovery in disaster-affected communities. This paper examines recovery in four disaster-impacted communities. In the two Australian examples rural communities were impacted by the 2011 Queensland floods. The two Japanese communities discussed suffered in the 2011 Tohoku earthquake and tsunami and, in one case, from radiation contamination arising from the damaged Fukushima Daiichi nuclear power plant. We argue that local sociality is often poorly understood by external parties such as disaster recovery experts and agencies. The Japanese planning concept of machizukuri – literally “creating communities” – incorporates physical, structural and social aspects in urban planning practices and was successfully applied to recovery processes in one of the Japanese cases. Drawing on that case, the paper concludes that machizukurioffers a valuable tool to foster better consideration of local sociality – both pre- and post-disaster – as an intrinsic component of communities’ vulnerability and resilience.

Read more: https://www.sciencedirect.com/science/article/pii/S2212420917303916

Is the forward motion of tropical cyclones in the Australian region slowing due to anthropogenic climate change?

Thomas Mortlock and Ryan Crompton.

As the Earth’s atmosphere warms, the atmospheric circulation changes. Understanding how tropical cyclone activity may change in response to this warming is no easy task, with recent studies showing considerable dispersion in projected changes in activity for the Australian region. For example, Knutson et al. (2015) projected a decrease in tropical cyclone activity, including Cat 4-5 storms, around northeast Australia. Earlier, in 2014, the IPCC Fifth Assessment Report (Reisinger et al. 2014) summarised the projected changes as “Tropical cyclones are projected to increase in intensity and stay similar or decrease in numbers and occur further south (low confidence)”.

Identifying anthropogenic climate change influences on observational records of tropical cyclone activity is also challenging. Reliable records are relatively short and contain high year-to-year variability. Most research effort has focused on identifying changes in frequency and intensity: Callaghan and Power (2010), for example, documented a long-term decline in numbers of Cat 3-5 events making landfall over eastern Australia. Other recent studies have begun to consider changes in the distribution of events and other characteristics, including their forward motion (referred to as the translation speed). Sharmila and Walsh (2018) showed that events in the Australian region may reach further south while Kossin (2018), reported on by Risk Frontiers in Briefing Note 370 in July this year, found a global slowing of translation speeds. Here we further discuss the findings of Kossin (2018) for the Australian region.

Anthropogenic warming may also cause a general weakening of summertime tropical circulation (Vecchi et al., 2006; Mann et al., 2017) and, because tropical cyclones are carried along within their ambient environmental wind, the translation speed of tropical cyclones may slow, thereby increasing the potential for flooding and longer duration sustained high wind speeds (Kossin 2018). Tropical Cyclone Debbie (Queensland, March 2017) and Hurricane Harvey (Texas, August 2017) are two recent examples of slow-moving events.

In addition to the reported global slowdown in tropical cyclone translation speeds, Kossin (2018) also analysed trends across various regions. While those for the Northern Hemisphere were strong, those for the Australian region, both over land and over water, were only marginally significant and exhibited high multi-annual variability.

Here we present an exploratory investigation of the extent to which changes in tropical cyclone translation speeds around Australia (Kossin, 2018) are driven by internal climate variability, in addition to any possible anthropogenic warming signal. The proxy for translation speeds is the ambient winds that control the movement of tropical cyclones. We begin with the tropical Indian Ocean, < 100 ° E (Fig. 1), where Kossin (2018) reported a -0.01 km/hr/yr trend between 1949 and 2016.

Chan and Gray (1981) suggested that winds between 500 and 700 mB are the most relevant measure of ambient winds that transport tropical cyclones. We extracted the 500 mB scalar wind speed monthly means (November to April – coinciding with our tropical cyclone season) from 1980/81 to 2017/18, using the NCEP-NCAR Reanalysis, for the region between 5 and 20 °S and 50 and 100 °E. (Prior to 1980, the homogeneity of the reanalysis record is questionable.)

We then compared the year-on-year scalar wind speeds (averaged within the analysis region) to the Pacific Decadal Oscillation (PDO) Index. The PDO is the leading principal component of North Pacific monthly sea surface temperature variability and can be seen as a long-lived (multi-decadal) ENSO-like pattern of Pacific climate variability. While the PDO is a Pacific-origin index, the tropical cyclone climatologies in Queensland, Northern Territory and Western Australia are principally influenced by Pacific ENSO variability, in addition to other regional climate indices such as the Indian Ocean Dipole and the Madden-Julian Oscillation.

Figure 1. Map of the Indian Ocean showing; composite mean scalar wind speeds (m/s) at 500 mB for Nov-Apr 2017/18, analysis area (5 – 20 °S, 50 – 100 °E); 100 ° meridian used in Kossin (2018); and, location of northwest WA.
Figure 2. Comparison between year-on-year (Nov-Apr) mean scalar wind speeds at 500 mB within analysis box (Fig. 1), and the PDO, between 1981 and 2018 (A), and correlation between the same two variables during period 1981 – 2000 (B) and 2001 – 2018 (C).

Our results show a strong correlation between the ambient environmental winds in the tropical Indian Ocean (TIO) and the PDO (average of Nov-Apr PDO values for each year)during the period 1981 – 2000 (R = 0.54, p < 0.05, Fig. 2b), but this is much diminished during the period 2001 – 2018 (R = 0.23, p < 0.05, Fig. 2c). The two time-series in Fig. 2a show a change in the relationship between the variables occurred around the year 2000. They also show that wind speeds are consistently higher post-2000.

The PDO was in a sustained ‘warm’ phase (i.e. PDO positive, or El Niño–like) from approximately 1977 to 1999, after which it has experienced less coherent polarity (Fig. 3). Our analysis suggests that during this period, ambient winds (and by inference, tropical cyclone translation speeds) in the Indian Ocean were closely related to variability in the PDO. Post-2000, a weakening of the PDO signal coincides with a much-reduced level of correlation, and a jump to higher wind speeds.

It is well known that the PDO influences interdecadal variability of tropical cyclogenesis in northern Australia (Grant and Walsh, 2001). However, the importance of the PDO on cyclone translation speeds for this region remains unclear. Our brief analysis suggests PDO positive conditions suppress wind speeds in the upper atmosphere in the TIO and, by inference, reduce tropical cyclone translation speeds in this region. This is because during PDO positive (El Niño–like) conditions, sea surface temperature anomalies occur further east in the Pacific Ocean – causing the area of cyclogenesis to move eastwards away from Australia.

When the PDO signal becomes more La Niña to ENSO neutral-like (i.e. post-2000, Fig. 3), wind speeds in the TIO increase but become less correlated to the PDO Index. This suggests a more complex relationship between upper atmosphere winds in this region and other regional climate indices (like the Indian Ocean Dipole or Madden-Julien Oscillation), during multi-decadal periods where the PDO signal is not strong.

Further work is needed to fully explore these relationships, and to extend the analysis into the Pacific. What can be concluded at this juncture is that the role of internal climate variability needs also be considered when analysing tropical cyclone records.

Figure 3. Observed monthly values of the PDO Index (1900 – 2014). Note the predominantly warm phase (PDO positive or El Niño-like) between approx. 1977 and 2000, and the break-down in sustained polarity thereafter. The PDO warm phase coincides with the period of strong correlation in Fig. 2 (prior to 2000). Source: Wikipedia (2018).

References

Callaghan, J. & Power, S. (2010). Variability and decline in the number of severe tropical cyclones making land-fall over eastern Australia since the late nineteenth century. Clim. Dyn., 37, 647-662.

Chan, J.C. and Gray, W.M. (1981). Tropical Cyclone Movement and Surrounding Flow Relationships. Mon. Weather Rev., 110, 1354-1374.

Grant, A.P. and Walsh, K.J.E. (2001). Interdecadal variability in north-east Australian tropical cyclone formation. Atmos. Sci. Let., 1530-261X.

Kossin, J.P. (2018). A global slowdown of tropical-cyclone translation speed. Nature, 558, 104-107.

Knutson, T.R. et al. (2015). Global projections of intense tropical cyclone activity for the late twenty-first century from dynamical downscaling of CMIP5/RCP4.5 scenarios. J. Clim., 28, 7203–7224.Mann, M. E. et al. (2017). Influence of anthropogenic climate change on planetary wave resonance and extreme weather events. Sci. Rep. 7, 19831.

Reisinger, A., R.L. Kitching, F. Chiew, L. Hughes, P.C.D. Newton, S.S. Schuster, A. Tait, and P. Whetton, 2014: Australasia. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Barros, V.R., C.B. Field, D.J. Dokken, M.D. Mastrandrea, K.J. Mach, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1371-1438.

Sharmila, S & Walsh, K.J.E. (2018). Recent poleward shift of tropical cyclone formation linked to Hadley cell expansion. Nature, 8, 730-736.

Vecchi, G. A. et al. (2006). Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing. Nature 441, 73–76.



QuakeAUS 6.0

Risk Frontiers’ new Australian earthquake loss model is now available.

We are excited to announce the release of our new probabilistic earthquake loss model for Australia.

The updated model incorporates Geoscience Australia’s recent revision of the Australian Earthquake Catalogue and, for the first time, the inclusion of an active fault model.

The model also includes a number of updates incorporating the latest data and methodologies.

Estimated losses have generally decreased across the country due to the update of the historical earthquake catalogue. This effect is partly mitigated at longer return periods in regions where active faults have now been modelled.