Roger Ottmar Research Forester Fire and Environmental Research Applications Team Pacific Wildland Fire Sciences Laboratory USDA Forest Service Research—PNW.

Slides:



Advertisements
Similar presentations
Has EO found its customers? Global Vegetation Monitoring Unit GLC2000 GLOBAL LEGEND GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002.
Advertisements

1st of 3 Part Training Series Christopher Woodall INTRODUCTION TO THE P2+ DOWN WOODY MATERIALS INDICATOR.
Introduction to Wildland Fire Behavior
The Alaska Forest Disturbance Carbon Tracking System T. Loboda, E. Kasischke, C. Huang (Univ. MD), N. French (MTRI) J. Masek, J. Collatz (GSFC), D. McGuire,
The Downscaled Climate Projection Has Arrived – NOW WHAT?
Northeastern and Upper Midwestern Terrestrial Habitat Classification System Getting started in the Midwest…
Fuel Management Objectives within Dry Forest Landscapes on the Okanogan-Wenatchee NF Dr. Richy J. Harrod Okanogan-Wenatchee National Forest.
Status and Changes to the US National Emissions Inventory (NEI) Thompson G. Pace, PE U.S. EPA Research Triangle Park, NC.
Smoke Modeling BlueSkyRains and SHRMC-4S Rick Gillam U.S. EPA Region 4 Air Modeler’s Workshop March 8-10, 2005.
Fire Modeling issues: fire effects on regional air quality under a changing climate Douglas G. Fox
U. Shankar 1, D. McKenzie 2, J. Bowden 1 and L. Ran 1 Assessing the Impacts on Smoke, Fire and Air Quality Due to Changes in Climate, Fuel Loads, and Wildfire.
BlueSky-EM, SMOKE and Data Linkages Andy Holland Carolina Environmental Program Symposium on Climate, Forest Growth, Fire and Air Quality Interactions.
Climate, Fire and Air Quality Climate Impacts Group June 1, 2006.
Climatic and biophysical controls on conifer species distributions in mountains of Washington State, USA D. McKenzie, D. W. Peterson, D.L. Peterson USDA.
Forest Growth Model and Data Linkage Issues Limei Ran Carolina Environmental Program UNC Steve McNulty Jennifer Moore Myers Southern Global Change Program,
F.O.F.E.M. 5 First Order Fire Effects Module Adapted from: Missoula Fire Sciences Laboratory Systems for Environmental Management.
EXPECTATIONS -FS Training course for FARSITE is 60hrs long. -It's own software separate from ArcGIS with it's own quirks and limitations. -Two week lab.
The Coeur d'Alene Tribe is learning the remote sensing methodology developed by LANDFIRE, and will be attempting to apply the methods to higher resolution.
The Rural Technology Initiative –“Better technology in rural areas for managing forests for increased product and environmental values in support of local.
BlueSky Implementation in CANSAC Julide Kahyaoglu-Koracin Desert Research Institute - CEFA CANSAC Workshop Riverside, CA May 2006 Julide Kahyaoglu-Koracin.
Controls on Fire in the Pacific Northwest: Climate, Fuels, and Land Management Dave Peterson & Don McKenzie Forest Service – PNW Research Station Pacific.
Nancy HF French, Don McKenzie, Tyler Erickson Poster # 301 with on-line demo – Wednesday Development and use of the Wildland Fire Emissions.
Introduction to Fire Ecology 5/25/07. What is Fire? Rapid oxidation reaction in which heat and light are produced. Exothermic Three ingredients – Fuel.
Talat Odman, Aditya Pophale, Rushabh Sakhpara, Yongtao Hu, Michael Chang and Ted Russell Georgia Institute of Technology AQAST 9 at Saint Louis University.
System and Data Requirements for Fire and Air Planning Janice Peterson.
National Fire & Air Workshop January 28-30, 2003 Westward Look Resort Tucson, AZ Emission Inventory for Prescribed and Wildland Fire: –What we mean by.
Photo Seattle Times, 9/2012 Use of Advanced Dispersion Modeling Examples for the Northwest Susan O’Neill, Research Scientist USDA Forest Service, AirFire.
Oct-03FOFEM 5 Overview An Overview of FOFEM 5 Missoula Fire Sciences Laboratory Systems for Environmental Management.
Wildfire Suppression In Fire Dependent Forests By Jessica Tancordo.
FireBGCv2: A research simulation platform for exploring fire, vegetation, and climate dynamics Robert Keane Missoula Fire Sciences Laboratory Rocky Mountain.
FVS Carbon Reporting Using the Forest Vegetation Simulator USDA Forest Service Forest Management Service Center Forest Vegetation Simulator staff.
Oct-03Learning to Use FOFEM 5: Advanced Lesson Missoula Fire Sciences Laboratory Systems for Environmental Management Learning to Use FOFEM 5 Volume II:
UPPER MONUMENT CREEK LANDSCAPE RESTORATION Allan Hahn – District Ranger Mike Picard – ID Team Leader.
Fire Emissions from 30,000’ – Regional Haze Planning Needs and Level(s) of Effort Tom Moore & Lee Alter Fire Emissions Joint Forum Meeting Tucson, AZ –
Tree distribution patterns in the southwest Jemez Mountains Kamal Humagain 1, Robert Cox 1, and James Cain 2 1 Texas Tech University 2 New Mexico State.
BLANK SLIDES. OPTIONAL INSERTS NWCG Messaging Project Wildland Fire Education Working Team.
Estimates of Biomass Burning Particulate Matter (PM2.5) Emissions from the GOES Imager Xiaoyang Zhang 1,2, Shobha Kondragunta 1, Chris Schmidt 3 1 NOAA/NESDIS/Center.
4 Forest Restoration Initiative Overview of Vegetation Data, Modeling and Strategies Used to Develop the Proposed Action Neil McCusker Silviculturist 4FRI.
Fire Ecology and Fire Regimes in Boreal Ecosystems Oct 19, 2010.
A 2012 NASA-CMS Phase 2 study Lead Investigators: Nancy HF French, MTRI Don McKenzie, US Forest Service, PNW, FERA Eric Kasischke, University.
Pacific Northwest Information Node Status Report Robert Norheim USGS FRESC Cascadia Field Station University of Washington College of Forest Resources.
Introduction to the FIA Down Woody Materials Indicator 1st of 3 Part Training Series Christopher Woodall DWM National Indicator Advisor.
Fuel Characteristic Classification System – Demonstration - Cynthia L. Riccardi Pacific Wildland Fire Sciences Lab Seattle, WA.
FireCAMMS Fire Consortia for Advanced Modeling of Meteorology and Smoke
Gradient Modeling Spatial layers of environmental gradients (predictor variables) known to govern rust propagation were compared to percent rust infection.
WRAP/FEJF Phase III/IV Emissions Inventory Project WRAP - Fire Emissions Joint Forum Meeting San Diego, CA 22 February a – Presentation (a)
PHASE II PROJECT Day 1 – 1:15p PHASE II PROJECT -- Technical Refinements Large Fires Complex Identification Duplicates -- WF and Rx Fire QC Packets States,
SPATIALLY EXPLICIT MODELING OF COLORADO PLATEAU LANDSCAPES FROM CONCEPTUAL MODELS TO A COMPUTER SYSTEM Chew, Jimmie D., Kirk Moeller, and Chris Stalling.
Map Units for LANDFIRE: Integrating Vegetation Classification and Map Legends.
NORTHEAST REGION HABITAT VULNERABILITY ASSESSMENT Hector Galbraith National Wildlife Federation.
Treatments and methods to manipulate stand structure suitable for fuel reduction.
The Wildfire Risk Reduction Grant Program Effectiveness Assessment and Program Overview Brett Wolk, Chad Hoffman, Claire Griebenow, and Tony Cheng January.
Development of Wildland Fire Emission Inventories with the BlueSky Smoke Modeling Framework Sean Raffuse, Erin Gilliland, Dana Sullivan, Neil Wheeler,
Fire Effects Tradeoff Model (FETM) Mark D. Schaaf, Air Sciences Inc. Portland, Oregon.
A Project Linking In-situ and Satellite Measurements to Validate MODIS Terrestrial Ecology Products Warren B. Cohen, US Forest Service; Stith T. Gower,
Pollutant Emissions from Large Wildfires in the Western United States Shawn P. Urbanski, Matt C. Reeves, W. M. Hao US Forest Service Rocky Mountain Research.
George Peacock, Team Leader Grazing Lands Technology Development Team Central National Technology Support Center 2010 Southern Regional Cooperative Soil.
Denver 2004 TGP1 PM2.5 Emissions Inventory Workshop Denver, CO March 2004 Thompson G. Pace USEPA Emissions Estimation for Wildland Fires.
Uncertainties in Wildfire Emission Estimates Workshop on Regional Emissions & Air Quality Modeling July 30, 2008 Shawn Urbanski, Wei Min Hao, Bryce Nordgren.
Forest Succession.
Application of Fuel Characteristic Classification System to Ph II EI (add-on task to Inter RPO project) Fire Emissions Joint Forum Meeting Spokane, WA.
Pinelands Student Research Day 2. The Pines, the Pines, the Pines are on Fire!
Forest Management Service Center Providing Biometric Services to the National Forest System Program Emphasis: We provide products and technical support.
June 2016What problems/opportunities/needs are there with forest management? Development of the purpose of and need for action. July 2016What tools are.
Leigh Patterson 06/15/09 M.S. Defense
FIA Implementation 2005: Status and Prospects
Fernando Garcia-Menendez
Calculate the Total Fuel Loading: Digital Photo Series
North American Forest Regions
Inter-RPO 2002 Fire Emissions Inventory
Presentation transcript:

Roger Ottmar Research Forester Fire and Environmental Research Applications Team Pacific Wildland Fire Sciences Laboratory USDA Forest Service Research—PNW Research Station Seattle, Washington Phone: Web: RPO Meeting Austin, Texas February 9, 2005

Fuel Loading Fuel Consumption Emission Factor Emission Production Dispersion/Concentration Black Area Consume 3.0 FEPS Photo series FCCS BlueSky Air Chemistry project (Missoula Fire Lab) Land Managers

Natural Fuels Photo Series Fire and Environmental Research Applications Team Pacific Northwest Research Station Seattle, Washington Website:

Northeast Missouri Breaks Borderlands

Natural Fuels Photo Series Completed Southeast VIa: sand hill, sand pine scrub, and hardwood with white pine types in the Southeast United States with supplemental sites for Volume VI. (PMS 838) Alaska IIA: hardwood with spruce (NFES 2668) Midwest Va: jack pine (NFES 2669) PNW I: mixed conifer; juniper; sage; grass (NFES 2580) Alaska II: black/white spruce (NFES 2581) Rockies III: lodgepole; aspen; gambel oak (NFES 2583) Southwest IV: pinyon/juniper; sage; chaparral (NFES 2584) Midwest V: red/white pine; tall grass; oak/hickory (NFES 2582) Southeast VI: long leaf pine; pocosin; marsh grass (NFES 2585) Hawaii: grass, shrub, woodland, and forest types (PNW-GTR-156) Training package: How to Use Photo Series (Rx 410-Smoke Management) Average 2 volumes per year

Photo Series in Preparation West: Deciduous-evergreen oak/savanna; mixed conifer/brush (January, 2005) Northeast: Mixed hardwoods; pitch pine scrub; red spruce/balsam fir (Late 2005) Southwest borderlands: juniper/mixed oak (2006) Missouri breaks: sage, grass, juniper (2006) Missouri BreaksBorderlandsCaliforniaNortheast

Fuel Loading Fuel Consumption Emission Factor Emission Production Dispersion/Concentration Black Area Consume 3.0 FEPS Photo series FCCS BlueSky Air Chemistry project (Missoula Fire Lab) Land Managers

What is FCCS? Simple to use software tool Comprehensive set of fuelbeds with: – assigned and calculated characteristics – fire potentials Allows customization of fuelbeds Assignment at multi-scales across the United States

Crown Fire Surface Fire Smoldering, Residual Effects Snag Tree Ladder Fuels Canopy Stratum Shrubs Needle Drape Shrub Stratum GraminoidsHerbs Nonwoody Vegetation Stratum Stumps Piles and Jackpots Sound WoodRotten Wood Woody Fuel Stratum Moss Lichen Litter Moss, Lichen, Litter Stratum Duff Ground Fuel Stratum The use of fuelbed strata facilitates the creation of spatial data layers and allows the user to include, combine or exclude as much detail as needed to suit an application. Basal Accumulation Fuelbed Strata and Categories

Select National Fuelbed Review assigned variables of selected fuelbed in FCCS editor Customize fuelbed Calculate fuelbed properties Generate output reports Characteristics by fuelbed strata and category FCCS Fire potentials Information Flow in FCCS Ecoregion Veg. form Structure Cover type Change agent Fire regime Condition class Fuel model crosswalk

Application Use FCCS to develop a set of fuelbeds to represent an area –Select default National Fuelbeds –Customize with inventory data/expert knowledge Assign fuelbeds to landscape Assign fuelbed characteristics and fire potentials at multiple scales

Application-- National Fire Plan Regional Haze Project, EPA Emissions Inventory Fuels Map, and test Forests for Region 6 (McKenzie, Sandberg, and Ottmar)

FCCS Timeline FCCS Release Candidate version—November 16, 2004 FCCS Release Candidate version—November 16, 2004 – 175 National Fuelbeds – Draft user manual and help – Fine tuning fire potentials – Building fuelbeds – Demonstrations in 2005 FCCS final release—May, 2005 FCCS final release—May, 2005 Linkage to Consume 3.0, FOFEM, FETM, FEPS, FASTRACS, FVS, Behave plus, etc Linkage to Consume 3.0, FOFEM, FETM, FEPS, FASTRACS, FVS, Behave plus, etc

Fuel Loading Fuel Consumption Emission Factor Emission Production Dispersion/Concentration Black Area Consume 3.0 FEPS Photo series FCCS BlueSky Air Chemistry project (Missoula Fire Lab) Land Managers

Modification and Validation of Fuel Consumption Modeling Roger Ottmar, David Sandberg, Clint Wright, and Robert Vihnanek Fire and Environmental Research Applications Team Pacific Northwest Research Station Seattle, Washington Website:

Fuel Consumption Project Develop new; modify and improve existing fuel consumption models for fuel types where there is: Limited knowledge Increased wildland fire expected Emphasis on shrubs and boreal forest Emphasis on combustion by fuel stratum/categories Emphasis on smoldering phase Consume 3.0/user manual/training package Objective

Alaska Rapid Response: Forest Floor and Emissions Characterization

Ponderosa Pine/Mixed Conifer Over 40 sites inventoried and burned New forest floor and woody fuel consumption models developed Implementing equations into Consume 3.0

Southern Pine/Hardwoods Over 40 sites inventoried and burned New forest floor and woody fuel consumption models developed Implementing equations into Consume 3.0

Shrublands and Grasslands Over 42 sites inventoried and burned New shrub consumption model being developed. Implementing equations into Consume 3.0

Fuel Consumption Project Sites

What is Consume 3.0? Consume is a software package that models the amount of fuel consumption and emissions of a fire, either wildland or prescribed Builds on an earlier software package, Consume 2.1 but is more user-friendly, more flexible, more accurate, linked to FCCS Not specific to PNW; can be used in all fuel/forest types

Consume 3.0 Release Candidate June 2005

Fuel Loading Fuel Consumption Emission Factor Emission Production Dispersion/Concentration Black Area Consume 3.0 FEPS Photo series FCCS BlueSky Air Chemistry project (Missoula Fire Lab) Land Managers

Sam Sandberg Roger Ottmar Robert Norheim

What is FEPS? FEPS is a software package that models the amount and rate of consumption and emissions of a fire, either wildland or prescribed Builds on an earlier software package, EPM (Emissions Production Model) but is more user- friendly, more flexible, more accurate Not specific to PNW; can be used in all fuel/forest types