Karsten Haustein is a postdoctoral researcher working on the World Weather Attribution project, developing the capability to perform quasi-real
time attribution analysis of extreme weather events around the world on an operational basis.
Not exact matches
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.
An
analysis from our World Weather
Attribution team indicated the rain from Hurricane Harvey over Texas was about three
times more likely and 15 percent more intense from climate change.
A new
analysis published in the journal Environmental Research Letters establishes that seasonal forecast sea surface temperature (SSTs) can be used to perform probabilistic extreme - event
attribution, thereby accelerating the
time it takes climate scientists to understand and quantify the role of global warming in certain classes of extreme weather events.
If she accepts that
attribution is amenable to quantitative
analysis using some kind of model (doesn't have to be a GCM), I don't get why she doesn't accept that the numbers are going to be different for different
time periods and have varying degrees of uncertainty depending on how good the forcing data is and what other factors can be brought in.
«This
analysis proves that the modelling approach behind one of the main pillars of real -
time event
attribution undertaken is sound and applicable to a range of extreme events in regions where we have confidence in the model performance», said Karsten Haustein, lead author of the new paper.
Most of the
time when corporations experience a catastrophe such as a chemical plant explosion resulting in fatalities, they look to outside entities to conduct the
attribution analysis.