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Air Resources Laboratory 1
Inclusion of forest fires in North and Central America as extra-CONUS-domain intermittent
sources for NAQFC: an operational viability study
Pius Lee1*, Hyuncheol Kim2, Daniel Tong2, Yunhee Kim2, Tianfeng Chai2, Yunsoo Choi2, Li Pan2, Rick Saylor1, Ariel Stein2,
Youhua Tang3, Jianping Huang3, Jeff McQueen4, Marina Tsidulko3, Hochun Huang3, Sarah Lu3,
and Ivanka Stajner5
*Corresponding Author Address: Pius Lee, 1 NOAA/OAR/ARL, 1315 East West Hwy, Room 3461, Silver Spring, MD 20910.
2Earth Resources & Technology ,Inc, Annapolis Junction, MD3 I.M. Systems Group, Inc. Rockville, MD 20852.
4NOAA/NWS/National Centers for Environmental Prediction, Camp Springs, MD.5 Office of Science and Technology, National Weather Service, Silver Spring, MD.
Air Resources Laboratory 2
Deep Water Horizon offshore oil platform accident:
April 20, 2010 for 87 days
~1 mile below sea level, ~ 40 miles off Louisiana coast
(near the coast of Chandeleur Sounds)
burning of skimmed oil, flaring of the fuels directly from well pipe,
and evaporative emissions from oil slick
Share air quality modeling effort
Entire oil spill event to study impact on regional air quality over SE US
Study distribution and fate of oil spill related air pollutants
subject to uncertainties in emission inputs
Air Resources Laboratory 3
NOAA NOS OR&R (National Ocean Service / Office of Response and Restoration) oil slick trajectory model results, initialized with satellite data
Near Shore map Off Shore map
SHAPE files availableCourtesy Nesdis/NOAA
May 17, 20C10
Estimating evaporative emissions from oil slick
Near shore Off shore
Sheen in imagery may corresponds to tar balls
Air Resources Laboratory4
Equivalent area of half circle radius (April 22- June 30, 2010)
slic
k ar
eas
Approach:Estimated fresh oil amount in the
slicks for different slick typesApproximate evaporation ratios: 90:
9: 1Distributed 25% of 4.9M bbl over
daily
heavy, medium, light
Daily Change of DWH oil slick size estimated from the oil slick map
Hea
vyL
ight
Med
ium
Burn volume (barrels)Burn Counts at each 12x12 km cell
Numbers are gridded into the NAQFC 12km CONUS domain
Oil burn locations used for air quality modeling
Minimal impact on surface concentration and surface fluxes between June 1 – July 8, 2010.
June 21, 2011
Experimental NAQFCinclines toward high bias for [O3]in warm/humid SE, DWH impact minimal.
Experimental NAQFCinclines toward low bias for [pm2.5]in summer
June 2 2011
June 12 2011
June 21 2011
June 30 2011
June 2 2011
June 12 2011
June 21 2011
June 30 2011
Intra- and Exo-domainwild fire intermittentsource is rather frequent
*Wednesday Talk: Fernando Garcia-Menendez
Air Resources Laboratory 9
HMS wildfire detections during Apr. 2010
Emission should include Exo- and intra-domain wild fires
~21x
~12x
5xAgricultural burningprevails in the monthsof March and Aprilin Mexico
&&Poster: Youhua TangPoster: Youhua Tang$$ Tuesday talk: Fernando Garcia-Menedez Tuesday talk: Fernando Garcia-Menedez*Poster: Hyuncheol Kim et el. “Evaluation of fire modeling systems: fire smoke extension and chemical composition”*Poster: Hyuncheol Kim et el. “Evaluation of fire modeling systems: fire smoke extension and chemical composition”
Several operationally feasible approaches to include Exo-domain Wild Fires
Configuration Emission meteorology Species treatment
LBC size mapping
Challenges
LBC include GOCART smoke plume
QFED or GBBEP emission
GFS- GOCART&
Inline/offline
BC, OCParticle aging.
Mainly sub- micro particulates
Plume-rise (FRP) & zero-out emission within 5x
LBC include Hysplit-smoke
Hms-Bluesky*
NAM-Hysplit CO & pm25
Plume-rise$ (Briggs Eq)
Transition through a CMAQ parent domain
Can come from either method above
All relevant CMAQ species
Again satisfying all modal size distributions
More step, more complex as there is one more “intermediate” model-run
GBBEP
QFED
QFED and GBBEP produced similar spatial patterns and monthly variation in total carbon (black + organic carbons) emissions. During the simulated period, both the South America and the Africa had frequent fire activities.
In general, QFED has smaller area of detected fires but with stronger carbon emissions while GBBEP has larger area of detected fires with weaker carbon emissions.
There is a limited spatial coverage for geostationary satellites at high latitudes. Thus, QFED detected more fires in the Russia, the Siberia, and the Canadian Boreal forest.
Hou
rly f
lux
at 1
o x1o
http://ready.arl.noaa.govhttp://airquality.weather.gov/
~21x
5x
NC and GA firesimpacted Discover-AQ area.
Analysis day 20110720
NCEP operation slot
Poster: Chris Misenis; $$Tuesday Talk: Karsten BaumannTuesday Talk: Karsten Baumann
Air Resources Laboratory 13
W E EWS SNN
Southern Eastern Northern Western
10 m Windspeed
~12x
5x
Lowest mid-layer Temperature
~12x
Wrf-nmm
Wrf-Post & AqmPrdgen
PREMAQ
CMAQ
GRiB products & graphics
Verification
ICON
BCON
SMOKE
MOBILE6
Dynamic LBC fed byGOCART or HYSPLIT
Sample of hourly outputfrom premaq w.r.t parentdomain – can be much coarser in temporal and spatial resolution
Time series of monthly mean event-count HMS/smoke fraction inside CONUS domain. Blue lines indicates bottom half of domain, and red color indicates upper half of the CONUS domain
2006 2007 2008 2009 2010 2011
Hms/Bluesky/Smoke monthly mean fraction owing to Wild fires in Southern Half or Northern half
0.0
0.
1
0.2
0.
3 0
.4
0.5
Intra-domain wild fire emissions
Flight track: July 20, 2011
Spirals over Wilmington and Edgewood
A long hotAnd muggyWorking day
Air Resources Laboratory 17
NASA P-3B Flight Pathes July 1-29, 2011http://www-air.larc.nasa.gov/missions/discover-aq/images/DISCOVER-AQ_2011_ALL_P3B_July1-July29.png
RTMANAM predicted 10m wind
Rain gauge analysisNAM precip
Max Temp
RTMANAM predicted 10m wind
RTMANAM predicted 2m temp
15Z
18Z
18Z
Less spurious
Sharp convergence zone
19
Comparison of Wind along flight track of P3B on July 20 2011
Spirals over Wilmington and Edgewood
Model under-predicted wind shear
More frequent lowBias in higher altitudes
Less turbulence may not matter as PBL well-mixed, shallow-convection may matter.
Air Resources Laboratory
Air Resources Laboratory 20
Comparison of Wind along flight track of P3B on July 20 2011
CMAQ471 vs obs. [NO2] on July 20, 2011
CMAQ471 vs obs. [NOy] on July 20, 2011 Models high-bias, lack of venting due tofair weather cumulus may exacerbate high-bias
Air Resources Laboratory 21
Comparison of Wind along flight track of P3B on July 20 2011 NO2 and TOL both are indicators of vehicular exhaust tracks well; ground-hugging
Air Resources Laboratory 22
Comparison of Wind along flight track of P3B on July 20 2011
CMAQ471 vs obs. [NO2] on July 20, 2011
CMAQ471 vs obs. [NOy] on July 20, 2011
For
mal
dehy
de a
s pr
oxy
of V
OC
em
issi
on
CMAQ471 no_hms_fire AOD
MODIS AOD
Spatial distribution of hourly avg. column-integrated AOD
Air Resources Laboratory 23
Satellite data was also attempted
Air Resources Laboratory 24
Summary
Last year’s study on DWH affirms that intra- and extra-domainwild fire emissions are dominant intermittent sources essential forAir Quality (AQ) studies – regional as well as continental
Several model configurations to include extra-domain wild fire emissionthrough ingesting smoke-plume from these fires in the forecast model’stime-varying chemical Lateral Boundary Conditions (LBC); i.e.chemical field fed by: (1) GFS-GOCARD-smoke; (2) HYSPLIT-smoke;and (3) Either use (1) or (2) but through the in-nesting of a large parentCMAQ domain more than 2 times the geographical area as continental U.S.
These model configurations are at various degree of development.They all have pros and cons in terms of operational feasibility for real time AQ forecasting.
Rich data set obtained from the Discover-AQ campaigns and satellite-basedAOD retrievals are extremely variable in evaluating the approaches considered.
Backup slides