Potential Performance differences of the National Air Quality Forecasting Capability when upgrading the Chemical Transport Model Pius Lee1, Youhua Tang1,2,

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Presentation transcript:

Potential Performance differences of the National Air Quality Forecasting Capability when upgrading the Chemical Transport Model Pius Lee1, Youhua Tang1,2, Jeff McQueen3, Ivanka Stajner3,4, Daniel Tong1,2,5, Barry Baker1,2, Hyuncheol Kim1,2, Jianping Huang3,6, Ho-Chun Huang4,6, Li Pan3,6, and Jose Tirado-Delgado7 1NOAA Air Resources Laboratory; 2 UMD Cooperative Institute for Climate and Satellites, 3 NOAA National Centers for Environmental Prediction (NCEP); 4 NOAA NWS Office for Science and Technology Integration; 5 Center for Spatial Information Science and Systems, George Mason University; 6 I.M. Systems Group Inc., Rockville; 7Eastern Research Group (ERG), Arlington, 17th CMAS, Oct 22-24 2018

Talk Outline Current NAQFC & CMAQ5.2 strengths in NAQFC-γ; Long range transport of Smoke and Dust plumes; Time-varying LBCs in NAQFC using GEOS-Chem & NGAC input; Time-varying LBCs in NAQFC-γ using hemispheric CMAQ input; Investigated to include halogen chemistry (reduction in coastal O3). 17th CMAS, Oct 22-24 2018

Current Operations over CONUS CMAQ5.0.2 (155 species) : major improvement since last upgrade Explicitly modeling NTR by various alkyl nitrates species Improved dust and PM modeling by adding 17 mineral species Exploring CMAQ5.2 with developmental runs: SOA module with enhanced summer time production of SOA; CB6 and aero6 – 228 species: Advancement VOC chemistry & Combustion PM; Photolysis rate attenuation from aerosol diming; Account gas-chemistry by adopting EPA smoke-2-cmaq chemical profile; LBC from operational NGAC for intruding smoke plume species; Dynamic boundary condition from hemispheric CMAQ simulation; Halogen chemistry: Cl, Br, and I. 17th CMAS, Oct 22-24 2018

Account for Exo-domain emitted pollution intruded into CONUS via BCs Dust storm plume transported from West Africa Courtesy: LANCE Rapid response team, NASA A typical monthly hot-spot fire count in April 17th CMAS, Oct 22-24 2018

Current ops: PM components are modified by NGAC Static LBC Monthly averaged vertical profiles from GEOS-CHEM 2006 (a) ASOIL (b) ASO4J 17th CMAS, Oct 22-24 2018

Seasonality of chemical lateral boundary conditions (a) Geos5 2015 January monthly averaged CO (b) Geos5 2015 April monthly averaged CO 17th CMAS, Oct 22-24 2018

Speciation mapping between NGAC and CMAQ speices Modify static Chemical LBC with NGAC 3-hourly output Dynamic BC data are fed into CMAQ Speciation mapping between NGAC and CMAQ speices NGAC species CMAQ species (multiplicative factor) Dust A25J 1.0, 0.42; respectively (R.) ASOIL 0.58,1.0,0.76; (R.) Sea salt ANAJ 0.39,0.27; (R.) ACLJ 0.61,0.42(R.) ANAK 0.12,0.39; (R.) ACLK 0.18,0.61; (R.) SO2 1.0 CO SO4 ASO4J bcphobic AECJ bcphilic ocphobic AORGPAJ ocphilic 17th CMAS, Oct 22-24 2018

Sensitivity cases for exploring CMAQ5.2 to include Halogens CTM Dynamic LBC Halogen emission Remark V5.2_Base CMAQ5.2 NGAC no gaseous species none 17 species V5.2_LBC_A Derived from hemispheric CMAQ 230 species V5.2_LBC_B Parameterized based on chlorophyll-a concentration Courtesy : Sarwar Golam 17th CMAS, Oct 22-24 2018

CMAQ species can be strongly modified by corresponding species in NGAC Unraveled LBC along perimeter of CMAQ-CONUS domain CMAQ species can be strongly modified by corresponding species in NGAC (a) Static from climatology (b) Overridden by NGAC (Q) What & specificity, result of pre-implementation test Phase I 17th CMAS, Oct 22-24 2018

Derive dynamic LBC from Hemispheric CMAQ5.2 simulation Lambert Conformal Conic projection with 35 layer & model top at 50 mb Polar stereographic projection with 44 layer & model top at 50 mb Courtesy : Sarwar Golam 17th CMAS, Oct 22-24 2018

V5.2_Base -- LBC no gaseous species Surface O3 valid 20180705 17Z V5.2_Base -- LBC no gaseous species V5.2_LBC_A -- LBC hemispheric CMAQ but no CHLO based Cl,Br, I emission V5.2_LBC_B minus V5.2_LBC_A 17th CMAS, Oct 22-24 2018

V5.2_LBC_B -- LBC hemispheric CMAQ and Surface O3 valid 20180705 17Z V5.2_LBC_B -- LBC hemispheric CMAQ and with CHLO based Cl,Br, I emission V5.2_LBC_A -- LBC hemispheric CMAQ but no CHLO based Cl,Br, I emission V5.2_LBC_B minus V5.2_LBC_A 17th CMAS, Oct 22-24 2018

O3 PM2.5 Variability for V5.2_LBC_B and V5.2_LBC_A cases are comparable and better than current NAQFC. PM2.5 17th CMAS, Oct 22-24 2018

MDA8 O3 performance for CMAQ5.2 configurations in 7/1-7/11 obs mean Bias RMSE Coeff corr FAR IOA 5.2 NGAC 271300 33.0 38.25 5.25 12.94 0.71 0.72 0.82 N_CHLO 38.87 5.87 12.98 0.73 CHLO 38.42 5.42 12.83 0.83 NE 39500 34.8 39.20 4.40 13.05 0.75 0.64 0.85 40.15 5.35 13.04 0.77 0.62 39.78 4.98 0.86 S E 45300 26.0 34.28 8.28 13.84 0.67 0.92 34.82 8.82 13.85 0.69 34.53 8.53 13.71 0.76 SC 39000 35.8 39.96 4.16 14.03 0.65 40.56 4.76 14.66 0.70 39.67 3.87 14.42 CONUS 17th CMAS, Oct 22-24 2018

24 h PM2.5 performance for CMAQ5.2 configurations in 7/1-7/11 obs mean Bias RMSE Coeff corr FAR IOA 5.2 NGAC 183530 8.9 9.20 0.30 11.13 0.23 1.0 0.44 N_CHLO 9.32 0.42 11.55 0.22 CHLO NE 25300 10.0 11.58 1.58 8.68 0.46 0.66 11.86 1.86 8.89 0.65 11.85 1.85 S E 23500 8.6 9.26 7.90 0.20 0.45 9.36 0.76 8.47 0.18 SC 43800 7.9 6.53 -1.37 0.31 0.99 0.47 6.72 -1.18 9.24 6.71 -1.19 CONUS 17th CMAS, Oct 22-24 2018

Tested CMAQ5.2 configurations for NAQFC-γ Current NAQFC & CMAQ5.2 strengths in NAQFC-γ Long range transport of Smoke and Dust plumes; Time-varying LBCs in NAQFC using GOES-Chem & NGAC input; Time-varying LBCs in NAQFC-γ using hemispheric CMAQ input; Investigated to include halogen chemistry (reduction in coastal O3?) Improved variability characteristics of surface O3 and PM2.5; Reduced over-predictions in coastal O3. Other NAQFC presentations: Mon_3.10: Kim et al. NO2 down-scaling PI (18) Tang et al., Hawaii volcano eruption; Wed_1.00: Tong et al., Dust emission PI (23) Baker et al., Evaluation Toolkit (MONET); Wed_4.10: Stajner et al., NAQFC PII (5) Kim et al., Top-down NO2; : Chai et al., Smoke inverse modeling 17th CMAS, Oct 22-24 2018