The first study tying a weather event to climate change didn't come out until 2004, making the field
of weather event attribution less than 15 years old.
What I'm looking for most is any suggestions about straightforward ways to describe the
single weather event attribution problem without getting into the thickets of explanation which will always favor those who do not wish to embrace the complexity of the problem.
With a robust evidence base and the right protocols in place it is now possible to run near real - time extreme
weather event attribution within days of an event striking.
If there are different numbers of models run on each operating system within two ensembles that we want to compare — for example, «natural» and «anthropogenic» ensembles
for weather event attribution studies — this might introduce a subtle bias to our results.
Today's Water Cooler: China trade negotiations, Joe Biden, Democrat messaging, retail sales, inventories, manufacturing, Apple, Uber, Tesla, defense industry, «
weather event attribution,» optimization, robots, Hawking's funeral