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posted by Fnord666 on Tuesday May 29 2018, @06:07AM   Printer-friendly
from the flood-insurance-FTW dept.

Common Dreams reports

A Maryland city was devastated [May 27] after 6-inches of heavy rain caused a downtown flash flood. Major damage is reported and many cars have been swept away.

Ellicott City was still recovering from a flash flood two years ago that killed two and forced the historic city to rebuild much of its Main Street. Residents said Sunday's flood seemed even worse than the storm in July 2016--which was called an extremely rare "one-in-1,000 year event", and cost the city tens of millions of dollars in damages.

Additional information at:
The Baltimore Sun
The Washington Post
USAToday


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  • (Score: 0) by Anonymous Coward on Tuesday May 29 2018, @04:54PM

    by Anonymous Coward on Tuesday May 29 2018, @04:54PM (#685712)

    Same AC. Another general takeway here is these estimates are coming from models that are totally statistical. There is no physics going on here at all, which I didn't expect. I really expected them to take into account elements of the local water cycle, etc.

    It looks more like if you plugged in data to an ML algo and had it optimize for homogeneity (ie physically closer stations should have more similar patterns than far away stations), then let this feed back to tuning the data prep until the results looked "realistic" to an ensemble of humans.