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Burlington Northern Santa Fe
Challenge
Nothing stops 1,000 tons of moving steel faster than bad weather. Burlington
Northern Santa Fe (BNSF) Railroad depended on repackaged National Weather Service
warnings to steer its precious freight clear of unfriendly storms. Because these
general predictions didn't map specific rail routes or differentiate between
hailstorms, wind storms and other types of weather, the trains were subject to
costly accidents and false alarms.
Solution
WeatherData's warnings precisely map weather forecasts to the railroad
right-of-way. They also take into account special geographical vulnerabilities,
like flood plains and steep slopes, plus the effect of train speeds fluctuating
from 40 to 79 miles per hour. Using experience and scientific data, WeatherData
formulates meteorological criteria and thresholds to manage BNSF's risks. These
solutions are then integrated into the railroad's operating procedures and
information distribution systems.
Why WeatherData
WeatherData's specialized forecasts help BNSF's trains avoid tornadoes, steer
clear of high winds and miss flash floods. Central management can efficiently
reroute trains around storms and keep tracks clear of snow. WeatherData's
predictions of extreme temperatures pinpoint potential rail breaks and buckles.
And mapping lightning strikes alerts engineers of potential crossing signal
irregularities. All this helps prevent costly, dangerous accidents and keeps
cargo moving at top speed.
WeatherData's expert consulting works in tandem with our customized weather
monitoring and management systems, which displays warnings, temperatures,
winds, lightning strikes and much more.
Results
WeatherData's railroad clients report benefit-to-cost ratios of 35 to 1. "With
WeatherData, we can proactively manage our risk at a very reasonable cost," said John Grundmann, Assistant Vice President, Safety and Operations Support
of Burlington Northern Santa Fe Railroad.
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