Modeling biomass burnings by coupling a sub-grid scale plume model with Adaptive Grid CMAQ Aika Yano Fernando Garcia-Menendez Yongtao Hu M. Talat Odman.

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Presentation transcript:

Modeling biomass burnings by coupling a sub-grid scale plume model with Adaptive Grid CMAQ Aika Yano Fernando Garcia-Menendez Yongtao Hu M. Talat Odman Gary Achtemeier (USDA Forest Service) D. Scott McRae (NC State) 9 th Annual CMAS Conference 11 October, 2010

sub-grid scale plume model: Daysmoke

Adaptive Grid - CMAQ

AG-CMAQ vs Daysmoke + Eularian + Unit in concentration - Uniform conc in grid cell + Constant data pts to calculate + Lagrangian + Unit in mass + No emission dilution - Varying data pts to be calculated per time step AGD-CMAQ Objective: combine the two models to obtain the most detailed conc. in a grid model Objective: combine the two models to obtain the most detailed conc. in a grid model

Adaptor CMAQ Daysmoke MM5 (WRF) Chemical Coupling Ambient concentrations Parcel/Puff/Plume concentrations Grid Particles Grid Support? Distributions Parcels mixed in grid cells Meteorology Particles/CCN Handover d = downwind distance Emissions Concentrations Meteorology How to combine Daysmoke in AG-CMAQ?

New CMAQ setup Inside driver Inside sciproc VDIFF CMAQ DAYSMOKE XADV Rest of CMAQ codes

CMAQ_DAYSMOKE: Between VDIFF and COUPLE Calculate locations of 1kg PM2.5 parcels per Daysmoke time step DAYSMOKE Convert Daysmoke emissions to concentrations Determine when and where Daysmoke results can be carried over to AG-CMAQ HANDOVER Convert parcels beyond the boundary into concentrations in Adaptive grid (for each species) update grid conc. OutConcPlus

Handover

Remain in Daysmoke Emission added to grid concentration

Atlanta Smoke Case Feb Oconee NF (1542 acres) 5 yr old 10:00 am - 3:00 pm total 5hr Piedmont NWR (1460 acres) 1 yr old 11:00 am - 2:00 pm total 3hr

Atlanta Smoke Case Feb

Measurement Sites

CMAQ vs AGD-CMAQ

Model Comparison

Mean Normalized Error

Summary Inputting PB smoke emissions into grid concentrations can be varied in time and place using Handover method in AG-CMAQ coupled with Daysmoke (AGD-CMAQ). On average, AGD-CMAQ has less error from the measured concentration than CMAQ and AG-CMAQ AGD-CMAQ seems to pick up the measured concentration peaks better

Adaptor CMAQ Daysmoke MM5 (WRF) Chemical Coupling Ambient concentrations Parcel/Puff/Plume concentrations Grid Parcels Grid Support? Distributions Parcels mixed in grid cells Meteorology Particles/CCN Handover d = downwind distance Emissions Concentrations Meteorology Future work: changes in grid adaptation

Using Fourier Transform for grid adaptation

Thank you Questions/Comments

Mean Normalized Error

Fort McPherson