An inter-agency high resolution modeling consortium, one of four regional
consortia the U.S. Forest Service is supporting nationwide, is being set up
in coorporation with the University of Georgia. SHRMC will perform research
and technology transfer necessary to generate products needed by forest
managers, environmental scientists and regulatory agencies. Central to the
consortium will be the weather prediction model MM5 which will generate high
resolution weather data in forecasts out to 48 hrs for the thirteen southern
states comprising USFS Region 8. As a regional consortium, SHRMC will
connect agency and university scientists including their students with
clients who need real-time predictions of environmental conditions and
solutions to related problems. As part of the national consortia, SHRMC will
make available products developed in other parts of the country.
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Fire & smoke models based
on single values, indices, nomograms, and tables have proven inadequate for
identifying local hazards in areas of variable terrain, fuel types and
loadings, and under rapidly changing weather conditions.
Air
resources from local emissions to regional haze have become more highly
regulated.
The models used for strategic
planning have increased in sophistication and complexity.
Information, skills, and costs
needed to operate these models are greater than any land manager can
possibly afford.
Output
from these models routinely requires skilled technical specialists not
generally available to the fire community.
Air regulators and their
publics have developed regionally oriented consortia to help cope with
technical complexity and the interstate nature of regulatory issues such as
regional haze, ozone, and PM2.5.
Increasingly
the fire community will participate with and benefit from the modeling
consortia.
Early participation of the fire
community will help assure that final models are appropriate for dealing
with fire and smoke.
Shared
funding can reduce single party costs.
Joint-planning will help assure
usefulness of products.
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