dominick spracklen, jennifer logan, loretta mickley, rokjin park shiliang wu, rose yevich
DESCRIPTION
Future climate change drives increases in forest fires and summertime Organic Carbon Aerosol concentrations in the Western U.S. Dominick Spracklen, Jennifer Logan, Loretta Mickley, Rokjin Park Shiliang Wu, Rose Yevich. Mike Flannigan, Tony Westerling, Dan Jaffe. Boreal wildfire and climate. - PowerPoint PPT PresentationTRANSCRIPT
Future climate change drives increases in forest fires and summertime Organic Carbon Aerosol
concentrations in the Western U.S.
Dominick Spracklen, Jennifer Logan, Loretta Mickley, Rokjin ParkShiliang Wu, Rose Yevich
Mike Flannigan, Tony Westerling, Dan Jaffe
Boreal wildfire and climate
OC / BC aerosols
GHGsCO
Increasing Temperature
Increasing Rainfall
Air Quality
Visibility
Climate Change
Longer fire seasons, more fires….
Less fires…..
Climate change and Forest Fires
[Gillet et al., 2004]
Climate impact on fire may be complex and vary regionally due to changes in temperature and precipitation
[Flannigan et al., 2005]
Area burned and temperature in Canada
Predicted ratio of area burned in 3 X CO2 compared to pre-industrial CO2
Historical Wildfire Records in Western US
Westerling et al. 2006
Fre
quen
cyof
larg
e fir
es Large increase in wildfires after the mid 1980s.
Biogenic OCWildfire OC
Emissions of OC
Large interannual variability in wildfire emissions. How does this impact atmospheric OC?
Large Fire Years
Observations (IMPROVE)
GEOS-chemGlobal CTM
OC
con
cent
ratio
n /
μg
m-3
1.5
2.0
1980-1984
OCbiob emission / TgO
C c
once
ntra
tion
/ μ
g m
-3
IMPROVEGEOS-chem
1.0
0.1 0.2 0.3
Jun-Aug mean at IMPROVE sites W of 100oW
Impact of variability of fires on atmospheric OC
Interannual variability in summertime OC concentrations driven by wildfires.
GEOS-chemClimatological fires
Predicting climate change impacts on forest fires and Air Quality
Calculate emissions
archive met fields
GEOS-CHEM
Global chemistry model
CMAQ
Regional chemistry model
1950 2000 2025 2050 2075 2100
GISS general circulation model
Spin-up
MM5 Mesoscale
model
archive chemistry
archive met fields
changing greenhouse gases (A1 scenario)
Predict Area Burned
Area Burned Regressions
Daily forest moisture parameters
Area burned database (1o x 1o)
Aggregate area burned to
ecosystem
Canadian Fire Weather Index
System
Predictors of Area Burned
Linear stepwise regression
Observed daily Temperature, Wind speed, Rainfall, RH
Predicting forest fire area burned
Stepwise linear regression between meteorological/forest moisture variables & area burned[Flannigan et al. 2005]
Aggregated ecosystems (similar vegetation / climate)
6.7105.8
17.525.4
3.611.6
12.8151.6
4.851.8
4.59.8
1980 – 2004 Totals [Westerling et al., 2002]Area Burned / 106 acresBiomass consumed/ Tg
Pacific North West and Rocky Mountain Forests are most important for biomass consumption and regional air quality
Bailey (1994) classification
Pacific Northwest/Cascade Forests. Annual Area Burned
Observed Area Burned
Predicted Area Burned
Regression against linear area burned
May-Oct mean TemperatureMay-Oct mean Drought Code
Regressions ‘explains’ 50-57% of variability in annual area burned in forest ecosystems. Best predictors are often Temperature or Fuel Moisture Index.
R2=52%
Are
a b
urn
ed /
106
Ha 0.5
0.25
1980 20001990
1980 1990 2000 200019901980
Trends in GISS western US mean July Met variables
1995 CO2
A1 Scenario CO2
GISS GCM predicts ~1.8 K increase in western US July mean temperature by 2055. How does this impact wildfires?
Te
mp
era
ture
/ oC
Ra
infa
ll / m
m d
ay-1
Observed
PredictedAnnual area burned 1980-2055
All ecosystems show an increase in Area Burned of between 7 and 87% driven by increasing temperature.
+49%
+87%
2045-2054 AB compared to 1995-2004
Annual total W. US Forest Fire Biomass Consumption 1996-2055
ObservedPredicted
Predicted mean biomass consumption for 2045-2054 is 50% greater than during 1996-2004
1996-2004 mean / Tg yr-1
Observed 19.15Predicted 20.67
Use stochastic placement of wildfires within ecosystem and ecosystem specific fuel loads.
+50%
Predicted Organic Carbon concentrations in W. US for 2046-2050
1996 1997 1998 1999 2000
2046 2047 2048 2049 2050
2046-2050 A1 scenario CO2
1996-2000
Jun-Aug mean at IMPROVE sites
+20%
Summertime OC in 2046-2050 predicted to increase by 20-25%.
Implications for visibility.Mean summertime visibility degrades from ~13.2dv (1996-2004) to ~13.8dv (2046-2050).
OC
con
cent
ratio
n /
μg
m-3
But need longer model runs….
Conclusions•In western US interannual variability in summertime OC is driven by variabilty in fires.
•Increased fires in western US since the mid 1980s has likely caused increase in summertime OC concentrations. •Regressions of annual area burned in western US capture 50-57% of interannual variablity. Temperature and fuel moisture are best predictors.
•Using GISS GCM output, forest fire emissions of OC predicted to increase by 50% by 2045-2055 (over 1995-2004) resulting in mean summertime OC to increase by 20-25%.