Title: Munich Reinsurance Group in Australasia
1Munich Reinsurance Group in Australasia
- Managing extreme weather risks How do we know
what to expect in Asia Pacific? - Heinrich Eder
2Global mean air temperature - observations
Temperature anomaly (?C) relative to the
1961-1990 average (14?C)
2007 is 8th warmest year on record. The last 13y
(1995-2006) represent the warmest on record,
exception 1996. 2007 anomaly 0.40C, above the
1961-1990 annual mean.
Source CRU, UK (2007)
3Urgency!
4Australian climate change, observations
- Warming of 0.9oC since 1910, mostly since 1950
due to increases in greenhouse gases - 2005 was Australias warmest year on record
- 2007 was the warmest year on record for SA, NSW
and Vic - More heatwaves and fewer frosts
- More rain in the west since 1950, but less in
south and east - Victoria - drying in autumn
Source BoM/CSIRO
5Number of significant natural catastrophes, global
6Economic losses vs Insured losses since 1950s,
global
7Night on earth
8South East Queensland (SEQ) scenarios
Gold Coast
- SEQ Brisbane, Gold and Sunshine Coast
- gt 2.7m residents, 66 of states population
- Strongest population growth in Qld (71 within
the last 5 years!) - Australias highest exposed values concerning
TCs, hence highest accumulated losses.
1966, population 40,000 today gt 508,000
Source Climate Change and Coastal Erosion, Prof.
R. Tomlinson, ABS, Qld population update.
9Population trends in metropolitan areas
2021 2021 2051 2051
min max min max
Sydney 14 18 25 49
Brisbane 26 46 56 136
Darwin 17 50 40 171
Australia 14 24 24 66
- Projections compared to June 2004 population
- Fertility rate, mortality, internal and net
overseas migration
Source ABS
10Climate change projections
- Mid range emission scenario for 2030 (relative to
1990)
Sydney mean warming of approx 0.9?C Increase in
the frequency of hot days (above 35?C)
Reduction in rainfall over Australia
Source CSIRO/BoM
11Strategic approach to climate change
Three areas
12Munich Reinsurance Group in Australasia
13Increasing cost of weather related disasters
Main Drivers
- Rising population
- Better standard of living
- Concentration of people and values in large urban
areas - Settlement and industrialisation of extremely
exposed regions - Susceptibility of modern societies and
technologies to natural hazards - Increasing insurance density
- Climate Change, particularly future loss
development
1950 30 of worlds population in urban
areas2005 50 of worlds population in urban
areas2030 60 of worlds population in urban
areas
14Munich Res Kyoto Multi Risk Policy
Insured Institutions engaged in
projects for generation of emissions credits
Compensated Shortfall of emissions reduction
compared to plan Advantage Bundle of
traditionally separated insurance lines (physical
damage, counterparty
risk, country risk, )
15Increasing business opportunities - ENERGY
Covers for renewable energies / energy efficient
technology
- wind power on-shore /
off-shore - Solar thermal / photovoltaic power
- coal gasification
- biomass
- geothermal power
- wave power
- low energy buildings, e.g. Green Building
Councils Green Star program
16Increasing business opportunities - ENERGY
Australian energy consumption
2.1 year growth in energy consumption until 2020
gt new sources required
More hot spells gt air conditioners gt higher
peak energy demand in urban areas
- Huge renewable energies potentials in Australia
- Huge energy efficiency potential
- General growth in businesses / economies
operating in those areas, resulting in increased
economic treaties
Covers for low-carbon technologies/energies
e.g. carbon capture and storage technologies
Insurers promote these technologies by
insurance cover in the construction and
performance phase
17South East Queensland (SEQ) Tropical Cyclone
- Demographics Population growth, Increased
standard of living,
Increased value at risk, Perception of risk - Buildings / Infrastructure Coastal
development, Building construction, design
maintenance, Building Code of Australia, Critical
Infrastructure planning - Climatology Intensity and / or frequency,
natural climate oscillations - Insurance Non-insurance and Under-insurance,
Historical losses, Risk Accumulations and
Catastrophe models, Minimises business
interruption
Estimation of return periods extremely
difficult High uncertainties (i.e. large range of
losses) from models, exclude storm surge