Regional Air Quality Modeling Progress at NOAA/NWS/NCEP
Jeff McQueen, Pius Lee, Jianping Huang, Ho-Chun Huang, Perry Shafran,
Eric Rogers, Geoff DiMego, Ivanka StajnerJune 10, 2015
CMAQ V4.6.4 CB05/AERO-4• V4.6.2 : April 28, 2014
• Inclusion of latest EPA Carbon Bond 5 (CB05) chemical mechanism.• Inclusion of AERO-4 aerosol chemistry.• Updated anthropogenic emissions with 2014 Dept. Energy projections.
• V4.6.3: June 13, 2014• Modulate fugitive dust emission: suppress over ice/snow.• Incorporate NESIDS HMS wild fire smoke. CONUS • Incorporate real-time surface dust emissions (wind dependent). CONUS • NTR, organic nitrate photolyzed and removed quicker.• Layer specific time step was added to speed up code.
• V4.6.3v2: June 27, 2014• Correction to overestimates of dust emissions
• repartition percent going to PM2.5, mix beyond first level
• V4.6.4: July 16, 2014 With NAM Parallel• Turned off gas emissions from fires.• Ozone predictions will not be impacted by inclusion of smoke emissions.
• OPERATIONAL: January 29, 20153
CMAQ V4.6.5 CB05/AERO-4
• V4.6.5 : May 1, 2015• All emissions based on EPA 2011 Inventories (NOAA/ARL)• Updated anthropogenic emissions with 2015 Dept. Energy projections• Increased vertical levels from 22 to 35 (NOAA/ARL)• Using operational NEMS Global Aerosol Capability (NGAC) for dust lateral boundary
conditions (J. Wang)• Testing PM2.5 ESRL bias correction (J. Huang)• Update BlueSky smoke emission system (H-C Huang)
• Evaluations• Ozone: case studies and FVS statistics
• July 7, 2014: Southern California• June 12, 2015: North East U.S.
• PM: • NGAC boundary impact cases
• May 10, 2015: Dust• June 10, 2015: Smoke
• Bias Correction: FVS statistics• Potential Impact of higher resolution meteorology 4
1 hour average Ozone PredictionsJuly 08 , 2014 Case
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EXP
Operational
Experimental : V4.6.3 Ozone Daily max vs obs
Met BIAS NAM, NAM Nest, RAPSouth West Coast (July 2014)
6Warm, Dry bias with lower PBL than observedConus Nest improved DPT and Winds
2 m Temperature 2 m Dew point T
10 m windDaily PBL Height (WEST U.S.)
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NAM Parent, Nest, DNG vs URMA Temperatures
July 8, 2014 21 UTC (33 H forecast)
Temperatures cooler than observed near San Bernadino Dewpoints drier than observed near coast
Dew Point Temperature2 m Temperature
URMA 2.5 km
NAM 12 km
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NAM Parent, Nest vs URMA Wind Vectors July 8, 2014 21 UTC (33 h forecast)
- Complex flow fields delineated by URMA- Turning and slowing of winds around high terrain near San Bernadino not captured by NAM 12
URMA 2.5 km
NAM 12 km
Nest 4 km
Ozone AQI
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NAM Parent, NestJune 8, 2015 LA Basin
Dew Point Temperature
10 m wind/topo
URMA 2.5 km
NAM 12 km
Connecticut Department of Energy and Environmental Protection
CMAQ continues its 10 ppb early-season ozone under-prediction
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NAM Parent, Nest vs Obs TemperaturesJune 12, 2015 18 UTC (12 H forecast)
NAM-12: Temps ~ 2-4 ° cooler & 4-8 ° moister in Upstate NY/CT Can contribute to lack of ozone productionNest: Better inland predictions, Strong drying near the coast : downward mixing ?
Dew Point Temperature2 m Temperature
NAM Nest
NAM 12 km
Improvements with High Res Met ?May 15 –June 14, 2015 9h forecast : CONUS
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Wind Speed 2m Temperature
Improvements with High Res Met ?May 15 –June 14, 2015: NE/SW Bias
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Dew point T
2m Temperature BIAS
NE U.S. SW U.S.
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Saharan Dust in GulfMay 10, 2015
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Saharan Dust in GulfMay 10, 2015
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Canadian Smoke over E. U.S.June 10, 2015
HYSPLIT BlueSky V3.5.1
HYSPLIT Oper BlueSky
Total Column smoke Concentration (ug/m3) CMAQ Oper Sfc PM2.5 Prediction
Connecticut Department of Energy and Environmental Protection
Aqua/Terra Images from June 9- June 11
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Canadian Fire smoke over DMV June 10, 2015
1 hour Avg PM2.5 PerformanceSkill Score: Prod, para, bias corrected
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East US
West U.S.
CONUS
Bias correction improvement but :Not capturing day to day variability & larger events
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Summary• Smoke, dust, ozone, anthropogenic PM : unified system using CMAQ V4.6.4
• Ozone predictions improved with latest changes to V4.6.4– Although strong under-prediction in California still evident
• PM predictions:– Main positive impact from updated emissions and NGAC LBCs (V4.6.5)– Bias Correction: More evaluation needed (J. Huang)– Better emissions from wild fire smoke (H-C Huang)
• NWS Un-Restricted Mesoscale Analysis (2.5 km) proved useful for evaluating NAM 12 and 4 km predictions
• High Res Met useful for identifying processes not resolved with 12 km NAM - 4 km nest captured blocking flow in San Bernadino Valley, California
- 4 km nest performance of AQ sensitive weather fields best so far (what about fire wx nest ?)
• What is the impact of smoke/dust on Meteorology ?- possible impact for June 9-11
• Met performance should be carefully evaluated while proceeding to address other system errors
- Concern that we are making changes to chem/emissions that mask 1st order met errors
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Future plans• Short term (1-2 years)
– Include NGAC real-time full aerosol boundary conditions– Improve smoke emissions
• Update USFS BlueSky emissions – (forest load, consumption, spread emissions)– Smart fire behavior using real-time met
• Evaluate plume rise (additional met constraints)
– Improve dust emissions• NAM gust vs speed• DNG winds• Soil moisture impact
– Include ESRL bias correction for O3/PM• At stations • spreading technique to grid
– Short-range High Resolution smoke/dust modeling– Partial inline NMMB-CMAQ V5.1
• Dust first• Impact on weather• Highly optimized
HYSPLIT smoke driven with NAM 4 kmJuly 19, 2014