1 / 24

Assessment of CO outflow during TRACE-P period

Assessment of CO outflow during TRACE-P period. Calculate CO distribution during TRACE-P period using University of Maryland CTM driven by fields from GEOS DAS (5 simulations) Base: 2.0 ° x 2.5 ° grid / Monthly bb and Annual ff/bf (Kiley et al. based on Streets/Yevich/Logan)

liseli
Télécharger la présentation

Assessment of CO outflow during TRACE-P period

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Assessment of CO outflow during TRACE-P period • Calculate CO distribution during TRACE-P period using University of Maryland CTM • driven by fields from GEOS DAS (5 simulations) • Base: 2.0° x 2.5° grid / Monthly bb and Annual ff/bf (Kiley et al. based on Streets/Yevich/Logan) • Bbb: 2.0° x 2.5° grid / Daily bb and Monthly ff/bf (Woo/Streets/Kiley) • SGbb: “0.5 ° x 0.5°” / Daily bb and monthly ff/bf • Boh: 2.0° x 2.5° grid / Monthly bb and Annual ff/bf / modified Spivakovsky OH (Russell Martin) • BnC: 2.0° x 2.5° grid / Monthly bb and Annual ff/bf/ no deep convection • Compare with aircraft and MOPITT data. Optimize ff/bf and bb sources (minimizing RMS diffs between aircraft- and MOPITT-CO measurements. Evaluate resulting distributions. • Study in progress

  2. A-priori and a-posteriori correlation coefficients based on comparison of model output with 5-minute merge CO data from DC-8 Flights 7-17

  3. Mid-Atlantic Air quality modeling efforts at the University of Maryland Principals: Director: Russ Dickerson CMAQ modeling: Jeff Stehr and Dale Allen MM5: Da-Lin Zhang and Weizhong Zheng SMOKE: Sheryl Ehrman and Yu-Jin Choi GEOS-CHEM interface: Dale Allen and collaborators (planned) Aircraft measurements: Bruce Doddridge, Lackson Marufu, and Brett Taubman Funding: Maryland DOE, Maryland DNR, NARSTO-NE, MANE-VU, NE-OPS

  4. Purpose • Scientifically-motivated and policy-driven simulations of Mid-Atlantic air quality • Past: Simulations of 1997 air quality with CMAQ driven by MM5. Default IC/BC • Future: Simulations of 2002 (MDE’s choice) air quality with CMAQ driven by MM5. IC/BC from O3 chemistry/PM version of GEOS-CHEM • Met fields for past and future simulations driven by MM5. “UMD”-MM5 includes PBL scheme (Zhang & Zheng) with an improved treatment of vertical mixing within very stable boundary layers.

  5. CMAQ Options and Modules • SMOKE Emissions, 1996 NET Inventory • CB-4 Chemistry with MEBI Solver; AERO3 Aerosol Module • No Plume-in-Grid • July 5- July 21, 1997 • Horizontal grid: 12 km grid nested within 36 km grid • Vertical grid: 24 MM5 layers collapsed to 16 CMAQ layers: Lowest 11 layers (3 km) unchanged • Cloud: radm2 • June 2002 Release • Sun Ultra-2

  6. Ozone Violations, July 12-17, 1997

  7. GPS Position(°Lat, °Long) Meteorology (T, RH, Pr, Palt) Carbon Monoxide (CO) Ozone (O3) Sulfur Dioxide (SO2) Aerosol Optical Properties: Absorption,Bap (565 nm) Scattering,Bscat(450,550,700 nm) Particle Counts (CPC: TSI 3007) Aerosol Particle Size(MetOne) 6 cuts: range 0.3–1.0μm Aerosol Chemistry(PIXE Streaker) UMd Research Aircraft *Aircraft operated by: University Research Foundation

  8. 1997 Flights Gettysburg Greene County Fallston Holbrook Gaithersburg Bay Bridge AM Flight PM Flight

  9. Acknowledgements • CMAQ modeling: Jeff Stehr and Russ Dickerson • Aircraft measurements: Bruce Doddridge, Lackson Marufu, and Brett Taubman • MM5: Da-Lin Zhang and Weizhong Zheng • SMOKE: Yu-Jin Choi and Sheryl Ehrman • TRACE-P modeling: Kenneth Pickering, J. H. Woo, and Randall Martin • Support: NASA Grants NASA.NAG59672 and NASA.NAG511246; Maryland DOEnvironment, Maryland DNR, NARSTO-NE, MANE-VU, NE-OPS

More Related