This is addressed by evaluating change in global or large - scale patterns in the frequency or intensity of extremes (e.g., observed widespread intensification of precipitation extremes attributed to human influence, increase in frequency and intensity of hot extremes) and
by event attribution methods.
Not exact matches
«This new way of viewing the problem could be a game changer in the
attribution of extreme
events by providing a framework to quantify the portion of the damage that can be attributed to climate change — even for
events that themselves can not be directly attributed to climate change using traditional methods,» continues Hammerling.
Overall, the chances of seeing a rainfall
event as intense as Harvey have roughly tripled - somewhere between 1.5 and five times more likely - since the 1900s and the intensity of such an
event has increased between 8 percent and 19 percent, according to the new study
by researchers with World Weather
Attribution, an international coalition of scientists that objectively and quantitatively assesses the possible role of climate change in individual extreme weather
events.
A new report released Friday
by the National Academy of Sciences has found that such extreme
event attribution studies can be done reliably for certain types of weather extremes, including heavy precipitation.
Just days later, a real - time analysis
by scientists working with Climate Central's World Weather
Attribution program has found that global warming has boosted the odds of such an extreme rainfall
event in the region
by about 40 percent — a small, but clear, effect, the scientists say.
Because these moderate extremes are
by definition more common, and because the authors looked at global statistics rather than those for highly localized, rare
events, the conclusions are extremely robust, said Peter Stott, leader of the Climate Monitoring and
Attribution Team at the Met Office Hadley Centre, in the U.K. «I think this paper is very convincing,» said Stott, who was not involved in the research.
This included an
event - specific
attribution study on the 2013 New Zealand drought, as well as highlighting differences in the emergence of heat extremes for the global population when aggregated
by income grouping.
(The Edcamp logo was created
by Lorenzo Ibarra and is licensed under a Creative Commons
Attribution Share - Alike Noncommercial 3.0 License; you can use it as is or adapt it for your
event).
I don't see a similar «point of contact» between models and reality as far as
attribution studies of extreme
events are concerned, given that what we need to compare are modeled statistics (which we can always have
by making many model runs) and meaningful real statistics, (which are hard to get)?
What follows is that the likelihood of 3 sigma + temperature
events (defined using the 1951 - 1980 baseline mean and sigma) has increased
by such a striking amount that
attribution to the general warming trend is practically assured.
As long as we're talking about extreme weather
events and
attribution... although Kerry Emanuel is usually the go - to guy for the study of increasing tropical cyclone intensity, his 2005 and 2011 (linked to above
by Stefan) papers being the most cited, there is a limitation of scope in that only the North Atlantic basin is covered
by these papers, AFAIK.
«Chief among these,» wrote Mann, «is the notion that just because somebody hasn't done a formal
attribution study of a particular
event, that
event somehow must not have been influenced
by climate change.»
For example, after an extreme weather
event, scientists often carry out single
attribution studies to determine how the likelihood of such an
event could have been influenced
by climate change and short - term climate variability.
«Uncritical
Attribution Claims... Bolstered
By The Cultural And Media Propensity For Hyping Extreme
Events»
the
attribution of a specific heavy precipitation
event to human - caused GHG's is not an extra development in science that is needed to add to the burden of proof regarding the human influence on climate already provided
by the current scientific evidence.»
A recent analysis [1]
by Dr Luke Harrington and Dr Friederike Otto of climateprediction.net introduces a new framework, adapted from studies of probabilistic
event attribution, to disentangle the relative importance of regional climate emergence and changing population dynamics in the exposure to future heat extremes across multiple densely populated regions in Southern Asia and Eastern Africa (SAEA).
The latest in so - called
attribution studies is to study each individual
event by itself, looking for how climate change may have made it stronger or more likely.
A new report
by the Energy and Climate Intelligence Unit (ECIU) presents the findings of their analysis of all research papers published since the Paris summit two years ago on the
attribution of specific
events to climate change.
From «completely consistent with» to «ex cathedra
attribution» in one swell foop is «consistent with» every other ex cathedra proclamation of
attribution by «climate science» to ACO2 whenever an undesirable
event, climate or otherwise, happens anywhere in the world.
Up to now I've had tremendous respect for Dr. Trenberth, particularly his effort to clarify the disastrous distortability of «no single
event»
attribution by saying «all
events» include a contribution from climate change.
It consisted of two talks: «Communicating uncertainty in climate information: insights from the behavioural sciences»,
by Andrea Taylor, University of Leeds (UK) «
Event attribution: from research to climate service»,
by Geert Jan van Oldenborgh, Royal National Meteorological Institute - KNMI (The Netherlands)
Event attribution analysis suggests that human induced greenhouse gas increases may also have contributed
by causing evapotranspiration rates to be higher than they would have been under pre-industrial conditions.
«We know that the largest damages are through extreme weather
events... [
By] linking event attribution with the damages we see and say [ing] which ones of those are made more likely by climate change (and it is by no means all of them), we can get an inventory of the impacts of anthropogenic climate change, which can then inform the loss - and - damage debate.&raqu
By] linking
event attribution with the damages we see and say [ing] which ones of those are made more likely
by climate change (and it is by no means all of them), we can get an inventory of the impacts of anthropogenic climate change, which can then inform the loss - and - damage debate.&raqu
by climate change (and it is
by no means all of them), we can get an inventory of the impacts of anthropogenic climate change, which can then inform the loss - and - damage debate.&raqu
by no means all of them), we can get an inventory of the impacts of anthropogenic climate change, which can then inform the loss - and - damage debate.»
The research leading to these results has received funding under the EUCLEIA (EUropean Climate and weather
Events: Interpretation and
Attribution) project under the European Union's Seventh Framework Programme [FP7 / 2007 -2013] under grant agreement no 607085 (PAS, NC, J - V, HvS, GvO, RV, PW, PY) PAS was partially supported
by the UK - China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CCSP) China as part of the Newton fund.
This included an
event - specific
attribution study on the 2013 New Zealand drought, as well as highlighting differences in the emergence of heat extremes for the global population when aggregated
by income grouping.
Chief among these is the notion that just because somebody hasn't done a formal
attribution study of a particular
event, that
event somehow must not have been influenced
by climate change.
The models, note, only over estimate recent temperature trends
by 18 %, half the expansion of the uncertainty range - and that overestimation has been eliminated from the
attribution by scaling in any
event.
Saño is referring to an emerging body of science authored
by researchers from the University of Oxford's Environmental Change Institute known as Probabilistic
Event Attribution (PEA), which deals with examining to what extent extreme weather
events can be associated with past anthropogenic emissions.
David — We can probably agree that
attribution of extreme
events is difficult because (1) they are uncommon, almost
by definition, and therefore good data tends to be sparse, and (2) they are rarely due to a single factor, but rather are associated with a confluence of conditions.
I wondered what speeches
by the Nobel scientists might reveal, particularly related to their
attributions about positive
events.