#7 - Dr Friederike Otto special - Real Time Attribution
This week I was super lucky to hear from Dr Friederike Otto
and this post is entirely inspired by our discussion. Lead scientist on the
international project World Weather Attribution (WWA) – Dr.Otto aims to speed up the analysis
and communication of the impact climate change has on extreme weather events
under a new science: Real Time
Attribution.
So isn’t this essentially EEA? – Indeed this science follows the
same principles we discussed in EEA, but it just tries to do so far more
rapidly.
Dr.Otto then directed me to the incredible overview of the real-time peer-reviewed studies they have already done, and I suggest you take 30 seconds to have a
quick scroll (all open-access and on the website). She said that not all the
listed studies were real-time, so to check out the European heat waves, floods
in Paris, storm Desmond and the Kenyan and Somalian drought (…remember this from
last week?)
One thing we learnt from the EEA post is that attribution for hurricanes and other cyclones is hardly a simple exercise, so the fact that the WWA has already completed a real-time study only 3 months after Hurricane Harvey hit Texas is a tribute to the potential of this science...now just waiting for peer-review.
The most exciting part of our exchange was actually when Dr.Otto
said they had only very recently published a paper proving
the robustness of real-time analysis; they re-performed the real-time study on Storm Desmond (2015) this year with more data and more information. So, lets
have a quick look.
Storm Desmond Fact File
- 4-6th
December, 2015
- North
England and South Scotland
- An
Atlantic Storm that provisionally set a new record for the greatest amount
of rainfall recorded in the UK in 24 hours (341.1mm - Cumbria).
- A
rare 'red action' was issued
- Caused
severe floods, affecting 5000 homes and businesses, causing power-cuts for
60,000 people and killing at least 3 people
It was the excessive nature of the rainfall event that led
to media and the public asking the question "was this event caused by
climate change?", a question Dr.Otto is very familiar with. Normally,
answers given are guesses with no relevant scientific basis, but with Desmond
the story was very different.
I googled "Storm Desmond climate change" and the
first hit was
this:
Science was able to give reliable answers within 5 days of
the extreme event!
So what did the team find?
Using the multi-method approach discussed in the EEA post (if different models answer the same question, scientists can better identify model uncertainty), the
analysis was focussed on the combined effect of thermodynamically (heat) driven
increase in precipitation and potential changes in the atmospheric circulation
producing this type of event. It was found a thermodynamic increase (so more
moisture in the air) was “purely” responsible, caused by a half a degree
warming of the upstream North Atlantic. So, was this caused by us?:
The real-time attribution study concluded anthropogenic
climate change increased the likelihood of the event by 40 percent, and
in the re-analysis study 2 years later, anthropogenic climate change was
found to have increased the likelihood of the event by 59 percent. They
believed the similarity in the results are certainly proof of the competence of
real-time, with differences accountable to the initial limitation of available
data.
Some challenges, however, were flagged, and are very similar
to those discussed in the EEA post:
- The paper is limited as it
only takes into account trends in precipitation, not other factors like
existing flood defences and the increasing exposure of flood prone-areas
as development continuously grows (So very similar to the issues discussed
in the EEA post).
- Model Resolution: the
study area is mountainous so there was heavy precipitation recorded at
some stations and none in those nearby.
- Capturing the nature of
precipitation in such 'hilly' regions requires high resolution models, but
the large ensembles of regional climate models only covered a 50km
resolution. The model has been shown to be bias to low precipitations, and
because of the terrain, a resolution of under 10km was needed.
- Framing of the question was also shown to be an issue, with the differences that did arise from results of each of the three methods owing in part to the different framing of the attribution questions. The team said this could not be avoided as the different methods were reconstructing different scenarios.
Taking this all into account, I think this is fantastic
work. Of course, this only shows attribution capability for extreme precipitation events in temperate
climate zones, but it wonderfully case-studies the amazing potential of the
new science ‘real-time’ attribution!



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