Dr. Francis Zwiers, PCIC's Director, delivered a talk on recent advances in the detection and
attribution of precipitation extremes.
Not exact matches
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.
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.
In the second real - time
extreme weather
attribution study in the context of the World Weather Attribution project the team found a 5 - 80 % increase in the likelihood of heavy precipitation like those associated with storm Desmond to occur due to anthropogenic clim
attribution study in the context
of the World Weather
Attribution project the team found a 5 - 80 % increase in the likelihood of heavy precipitation like those associated with storm Desmond to occur due to anthropogenic clim
Attribution project the team found a 5 - 80 % increase in the likelihood
of heavy
precipitation like those associated with storm Desmond to occur due to anthropogenic climate change.
My experience with
extremes and detection and
attribution of an anthropogenic signal in those is that only by averaging the behavior
of extremes (both temperature
extremes and
precipitation extremes) over large geographical areas (continental or barely sub-continental) we have been able to see something outside
of natural variability.
There have also been some reports on trends
of more
extreme precipitation, although The International Ad Hoc Detection and
Attribution Group (IDAG, 2005) did not manage to attribute trends in
precipitation to anthropogenic greenhouse gases (G)-- a quote from their review article is: «For diurnal temperature range (DTR) and
precipitation, detection is not achieved», here «detection» implying the signal
of G.
In fact, Min et al. used leading empirical orthogonal functions (EOFs; a type
of principal component analysis) in their
attribution analysis for
extreme precipitation, implying large spatial scales.
«Since the AR4, there is some new limited direct evidence for an anthropogenic influence on
extreme precipitation, including a formal detection and
attribution study and indirect evidence that
extreme precipitation would be expected to have increased given the evidence
of anthropogenic influence on various aspects
of the global hydrological cycle and high confidence that the intensity
of extreme precipitation events will increase with warming, at a rate well exceeding that
of the mean
precipitation..
In the second real - time
extreme weather
attribution study in the context of the World Weather Attribution project the team found a 5 - 80 % increase in the likelihood of heavy precipitation like those associated with storm Desmond to occur due to anthropogenic clim
attribution study in the context
of the World Weather
Attribution project the team found a 5 - 80 % increase in the likelihood of heavy precipitation like those associated with storm Desmond to occur due to anthropogenic clim
Attribution project the team found a 5 - 80 % increase in the likelihood
of heavy
precipitation like those associated with storm Desmond to occur due to anthropogenic climate change.
Topics include observations
of precipitation extremes, detection and
attribution work on
precipitation extremes and projected changes to
precipitation extremes.
2012 Controversial «
attribution» studies find recent disastrous heat waves, droughts,
extremes of precipitation, and floods were made worse by global warming.