Local Wind

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Downscaling for Fire Weather –

Forecasting in Complex Topography

Heath Hockenberry

National Weather Service Fire Weather Program Manager

Fire Weather – How are forecasts made?

Like everything else, start with the broad model output.

Unlike everything else, apply basic conceptual knowledge of terrain and fuels.

So how do we get from this….

To this ?

Fire Weather – “Old School” Meteorology

Operational Fire weather is far from a complex, fine scale model with fire feedbacks and parameterizations.

Conceptual models are still the basis of forecasting in complex terrain.

Essential reading Essential Training

S-190 Introduction to

Wildland Fire Behavior

Basic Concepts and Terminology of

Wildland Fire

Introduction to Fire Behavior Terms

This example…Spotting

Fire producing sparks or embers that are carried by the wind or convection that start new fires beyond the main fire

S-290 Introduction to

Wildland Fire Behavior

The “heart” of fire weather is taught in this course…

Stability Winds

S-290 Techniques

Adjustment to Temperature using Average Lapse Rate

Known: Elevations and the temperature at the lowest elevation

Elevation Change: 2000 feet

Average Lapse Rate -3.5F/1000 feet

Simple calculations like this are done all the time in fire weather, for temperature adjustments.

S-290 Techniques

The thermal belt Inversion Depth

S-390 and S-490

Advanced Wildland Fire Behavior

Wind Downscaling…

• General

Winds

• Local

Winds

Examples of Local Wind circulations: slope winds and sea breezes

20 FT WINDS RELATIONSHIP

20 ft winds = General Winds + Local Winds

Which dominates?

General? Local? Both?

Terrain Forced Flows

The effects of terrain on General Winds:

Dissipation of wind by terrain features

Acceleration of wind by terrain features

Diversion of wind around terrain features

Due to the complexity of terrain and atmospheric interaction these are…

DIFFICULT TO PREDICT!

Terrain Correction Factors

Suggested General Wind correction factors:

Assuming:

Gently sloped terrain.

Neutral or unstable (or above inversion).

Windward slope exposed to general winds.

Upper 1/3 of slope: 0.4 to 0.6 of General Wind

Middle 1/3 of slope: 0.3 to 0.4 of General Wind

Lower 1/3 of slope: 0.2 to 0.3 of General Wind

Sheltered Areas: near zero

Terrain Correction Factors

Example

0-1 mph

6 mph

6 mph

6 mph

Local slope winds

Terrain Correction Factors Example

20 mph

0-1 mph

5 mph

7 mph

10 mph

General Winds

Terrain Correction Factors Example

20 mph

2 mph

16 mph

11 mph

13 mph

20 ft Winds=

General Winds + Local Winds

Terrain Correction Factors

Example

20 mph

0 mph

2 mph

2 mph

16 mph

20 ft Winds=

General Winds + Local Winds

High Elevation Gaps

Strong pass winds can also result from upper winds combined with a low level pressure gradient.

Advanced Incident

Meteorology Forecasting

Forecasting on an Incident Management Team…

Satellite Dish allows ingest and dissemination of forecast products

IMET Forecasting

Why Pibals?

Diurnal Wind Patterns.

Complex Terrain.

Smoke/Public Health Concerns

Model problems!!!!

Incident Management Team

Worried about the forecasted Gap wind Event

↑ East

East Flank of Fire

Left Alone →

↓ West

South →

July 7 th 2003 Brent Wachter

Protect Taos Pueblo and Taos to the West

← Air Tanker Drop

IMET Forecasting

Sanford Fire

Data: Rick Stratton, SEM, Missoula Fire Lab

Sanford Fire

Fuel

WTR Weather Stream File for FARSITE

ENGLISH

8 12 0 600 1700 54 87 50 20 7500

8 13 0 600 1700 52 88 50 20 7500

8 14 0 600 1700 52 88 50 25 7500

8 15 0 600 1700 57 87 50 27 7500

8 16 0 600 1700 56 81 50 23 7500

8 17 0 600 1700 57 81 50 20 7500

8 18 0 600 1700 53 81 50 21 7500

IMET Forecasting

Regression Equations Techniques

National Fire Danger Rating

Forecasts from local NWS

Offices.

Multiple Regression for Grassy Mtn RAWS -

Summer Min Eq y=(.34A)+(0.037B)+(-0.0021C)+(0.62D)+2.3

R2=0.86

80

60

40

20

0

0 20 40

Boise Min Temp

60 80

Grassy fcst

Fire-business driven fuel dryness prediction, tailoring broad scale models to predict fuels’ receptiveness to fire.

DGEX vs. GFS (Model Downscaling) http://wwwt.emc.ncep.noaa.gov/mmb/mmbpll/dgexhome.ops/

500 mb ht/Vort

850 mb wind

Acknowledgements

NWS Mets and IMETs Chuck Redman, Coleen

Decker, Chris Gibson, Brent Wachter, Jim

Prange, Bob Servick, Julia Rutherford, Bernard

Meier, Larry VanBussum, and Chuck Baker.

Predictive Services GACC Mets Terry Marsha,

John Saltenberger and Tim Mathewson.

NCEP’s Geoff DiMego.

The National Interagency Fire Center Training

Branch.

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