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Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 1
Wildfire Emission Modelling in GEMS
Johannes Kaiser
Tony Hollingsworth, Martin Schultz
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 2
Overview of Presentation
• Motivation• Wildfire emissions are a major boundary condition
for atmospheric composition modelling, thus GEMS.• GEMS is just starting.• Scientific development, collaborations, and
additional funds will be needed to do a good job.
• Contents• GEMS Overview• GEMS Requirements on Wildfire Emissions• Existing Components• GEMS Wildfire Strategy Proposal• Summary
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 3
GEMS Overview
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 4
GEMS: Global Earth-system Monitoring using Space and in-situ data
Coordinator A.Hollingsworth (ECMWF)
Projects Leadership
Greenhouse Gases P.Rayner (F)
Reactive Gases G.Brasseur (D)
Aerosol O.Boucher (UK)
Regional Air Quality V-H.Peuch (F)
Validation H.Eskes (NL)
Global Production System A.Simmons (ECMWF),
GMES Integrated Project, 12.5MEuro, 30 Institutes, 14 Countrieswww.ecmwf.int/research/EU_projects/GEMS
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 5
Objectives of GEMS
• Global operational system for monitoring & forecasting composition ready by 2009
• Combine remotely sensed and in-situ data • GREENHOUSE GASES (initially including CO2, and progressively
adding CH4, N2O, plus SF6 and Radon to check advection accuracy),
• REACTIVE GASES (initially including O3, NO2, SO2, CO, HCHO, and gradually widening the suite of species),
• AEROSOLS (initially a 15-parameter representation, later ~ 30)
• Support operational Regional Air-Quality Forecasts
• Global Retrospective Analyses 2000-2007
• Variational Inversion Techniques to estimate sources & sinks of CO2 and other trace constituents
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 6
ReactiveGases
Greenhouse
Gases
AerosolRegional
Air Quality
GEMS organisation in 6 sub-projects
Validation
greenhousegases
reactivegases
regional air qualityaerosols
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 7
Schedule of GEMS Work at Central Site
Year 1May 2005+12 mo
• Build and validate 3 separate assimilation systems for Greenhouse gases, Reactive gases, Aerosol. • Acquire data; build web-site
Year 2May 2006+12 mo
• Produce 3 different reanalyses for GHG, GRG, Aerosol• Make reanalyses available for validation by all partners• Provide feedback to data providers
Year 2-2.5May 2007 + 6 mo
• Merge the 3 assimilation systems into a unified system; • Upgrade the models and algorithms based on experience
Year 2.5-3.5Nov 2007+ 12 mo
• Produce unified reanalyses for GHG, GRG, Aerosol• Build operational system, & interfaces to partners
Year 3.5 - 4 Nov 2008+ 6 mo
• Final pre-operational trials • Documentation & Scientific papers
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 8
Requirements on Wildfires
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 9
Wildfire Emission Description
• Wildfires constitute a major boundary condition for atmospheric composition modelling.
• GEMS requirements• Amount emitted: aerosol, trace gases
FRE / AFL / emission factors / burnt area / hot spot
• Location, Time burnt area / hot spot• Injection height meteo / FRE
• Cross-cutting• Global aerosol and trace gases, regional air quality:
consistency, work reuse! • Forestry, vegetation monitoring:
collaboration with geoland and others!
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 10
Schedule of GEMS Wildfire Requirements
Year 2May 2006+12 mo
• Produce 3 different reanalyses for GHG, GRG, Aerosol• global emissions for 2003 of correct order of magnitude
Year 2.5-3.5Nov 2007+ 12 mo
• Produce unified reanalyses for trace gases and aerosol• high-resolution (temporal & spatial) global fire products for 2000–2007
Year 3.5 - 4 Nov 2008+ 6 mo
• Final pre-operational trials • high-resolution (t&s) global fire products in NRT
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 11
Existing Components
Models, observations
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 12
Existing Emission Models
• Missoula Fire Sciences Lab, USDA Forest Service?
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 13
Use of Related Observations in GEMS
• FRE amount, time, loc. Yes Yes no, to be drived
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 14
Strategy Proposal
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 15
GEMS Baseline Approach (AER)
• GWEM for amount [Hoelzemann et al. 2004]
• BUOYANT for injection height [Nikmo et al. 1999]
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 16
Extended Treatment of Wildfire in GEMS
Year 2May 2006+12 mo
• Produce 3 different reanalyses for GHG, GRG, Aerosol• global emissions for 2003 of correct order of magnitude• climatology: RETRO, AEROCOMM-B
Year 2.5-3.5Nov 2007+ 12 mo
• Produce unified reanalyses for GHG, GRG, Aerosol• high-resolution (t&s) global fire products for 2000–2007• burnt area from MODIS, GLOBCARBON…
Year 3.5 - 4 Nov 2008+ 6 mo
• Final pre-operational trials • high-resolution (t&s) global fire products in NRT• hot spots and/or FRE from MODIS, …
Year 5 - 2009 -
• operational phase • high-resolution global (t&s) fire products in NRT• hot spots and/or FRE from MODIS, …• global WF_ABBA from GEO satellites
Part
ial
fun
di
ng
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 17
geoland, …
tGEMS
Single Evolving Fire Assimilation System (FAS)
• Single, consistent processing for all GEMS subprojects• Evolution from climatology to existing products to fire
assimilation hidden behind constant interface
satellitefire product
satelliteradiance
land coverclimatology
fireclimatology
land coverproduct
fireproduct
FireAssimilation
System
global fireemissions
greenhousegases
reactivegases
aerosols
regionalair quality
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 18
Summary
• GEMS combines satellite and in-situ observations in a operational global data assimilation / forecast system.
• GEMS will provide re-analyses and forecasts of the atmospheric composition, i.e. aerosols and trace gases.
• The emission by wildfires of is one of several important cross-cutting issues in GEMS.
• The emission by wildfires is ultimately needed globally in near-real time as well as with a time lag.
• No suitable wildfire emission product is available.
• A phased development strategy for a global fire assimilation system and wildfire emission modelling has been proposed.
• Feedback through inverse modelling is ultimately expected.• The strategy is currently being discussed and we are grateful
for comments, suggestions, collaborations, and contributions.
Wildfire Emission Modelling in GEMS J. Kaiser IGBP-QUEST Fire Workshop, Exeter, October 2005 Slide 19
More Info
• www.ecmwf.int/research/EU_projects/GEMS• www.ecmwf.int/research/EU_projects/HALO• [email protected]