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While the actuarial community works on developing new ways to
measure the economic impact of the risk posed by global warming, it
is exceedingly important for actuaries to gain an understanding of
how to work with climate data, how to bridge the gap between
climate models and actuarial projection models and how to produce
relevant KPI.
To begin with, we take a deep dive into climate data. Taking our
recent work on mortality and health risks as an example, we discuss
processing of past climate data identifying relevant climate
variables and statistical analysis tools. We consider different
approaches available to calibrate mortality risk on historical data
and discuss how climate model results can be used to estimate the
impact of climate change on mortality. We also explore how machine
learning techniques can be used to enhance historical data and to
remove bias from the modelled climate results.
Having looked into climate data from the perspective of actuaries
and data scientists, we take a look at extreme weather events
through the eyes of climate scientists. More precisely, the aim is
to explore how atmospheric circulation - mainly in terms of weather
patterns, jet stream states, and teleconnections - is linked with
surface weather and climate extremes, focusing on the mid-latitudes
and Europe. We discuss changes in atmospheric circulation both due
to natural variability and forced responses, such as anthropogenic
climate change, and the current state of research in the field,
using examples from recent high-impact extremes, such as the 2018
summer European heatwave and the 2021 July floods in central
Europe.
We move on by ...read more
Join us on 13 June 2022 from 9:00 to 17:00 CEST and take part in
that special focus event. Please register here and secure
your place at the early bird rate until 2 May
2022.
We would be happy to welcome you online.
Are you interested in other topics? Please visit our website and find your suitable
events...
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