The Southern HighResolution Modeling Consortium Air Quality Research

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The Southern High-Resolution Modeling Consortium
Air Quality Research

• Gary L. Achtemeier, Scott Goodrick
• Yongqiang Liu
• USDA Forest Service
• Athens, GA
• Thomas Mote
• University of Georgia

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Products
Class 1. Basic meteorological variables fall into
Class 1. These include wind speed and direction,
temperature, relative humidity, and geopotential
height at various levels within the MM5 model
domain. Derived variables such as stability,
divergence, vorticity, cloud water, and
precipitation also fall into the basic variable
class.
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Products
Class 2. Class 2 products include simple indices
derived as smoke or fire weather products.
Examples include Ventilation Index, Lavdas
Dispersion Index, Mixing Height, Transport Wind,
Haines Index, and the Fosberg Fire Weather Index.
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Products
Class 3. The power of SHRMC lies in the ability
to provide critical high-resolution weather data
to complex fire, smoke, and air chemistry models.
Class 3 products include those developed from
coupled fire-atmosphere models, air chemistry
models such as CMAQ, regional scale modeling
systems such as BlueskyRAINS, and local smoke
models such as PB-Piedmont or PB-Coastal Plain.
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Products
Class 4. Class 4 products link short-term and
long-term climate with wildfire, prescribed fire,
and smoke management. Climatic effects of
wildland fires include climatic influences on
fire and the impacts of burning on climate.
Spatial and temporal variability of fire
activities, long-lead seasonal wildlfire
prediction, measurements of fuel properties
(type, loading, moisture) from the field and
remote sensing, and emission calculation and
analysis are among the outcomes planned for
SHRMC.
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SHRMC AQ Research Designed to Answer 3 Questions

• Where does the smoke go?
• How much gets there?
• What kind is it?

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PB-Piedmont 21 October 1986 0600 LST
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PB-CP has been tested with land-use data provided
by EPA scientist Don Norris
PB-Coastal Plain
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Daysmoke

• Model - Fine-scale smoke particle model for smoke
  transport during day. Adapted from sugar cane ash
  fallout models developed in 1993.
• Need To know at what altitude smoke from
  prescribed burns is deposited for input to
  air/chemical interaction models like CMAQ
• Objective to model individual prescribed burns
  to correctly place smoke in the right amount at
  the right location.

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Assumed Smoke Distribution
Mixing Height
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The three flight legs for the 06 March 2002 smoke
plume recon flight. White (first leg), red
(second leg) and blue (third leg). Yellow square
identifies burn site plume by dashed yellow
lines. Photos located and numbered.
To Athens
100 km
Milledgeville
80 km
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Actual Smoke Distribution
Mixing Height
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Daysmoke Rxfire Simulation at 18-min
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Coupled Fire-Atmosphere Models Smoke Plumes
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Impacts of smoke on climate
Precipitation for July 1988 from NCAR regional
climate model
Locations of fires
Precipitation difference July 1988 with smoke
minus without smoke
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Southern Smoke Simulation System (Project 4S)
Spatial distribution of particulate matter
concentration for Florida for 1000, 6 March 2002,
generated by S.M.O.K.E. for input into CMAQ.
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Partners/Cooperators

• USFS Region 8 Fire Aviation
• USFS Southern Region Air Resource Program
• NWS Forecast Office
• NWS SE River Forecast Center
• Fish Wildlife Service
• GA Forestry Commission
• NASA-GAPP (GEWEX Americas Prediction Project) -
  Mote
• NASA-Space Grant Mote
• University of Georgia

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www.shrmc.org
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