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MESOSCALE MODELING FOR AIR QUALITY FORECASTING by ROBERT D. BORNSTEIN DEPT. OF METEOROLOGY SAN JOSE STATE UNIVERSITY SAN JOSE, CA USA

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Presentation on theme: "MESOSCALE MODELING FOR AIR QUALITY FORECASTING by ROBERT D. BORNSTEIN DEPT. OF METEOROLOGY SAN JOSE STATE UNIVERSITY SAN JOSE, CA USA"— Presentation transcript:

1 MESOSCALE MODELING FOR AIR QUALITY FORECASTING by ROBERT D. BORNSTEIN DEPT. OF METEOROLOGY SAN JOSE STATE UNIVERSITY SAN JOSE, CA USA pblmodel@hotmail.com Prepared for FORUM ON: CHALLENGES IN URBAN METEOROLOGY ROCKVILLE, MD 21-23 SEPT 2004

2 ACKNOWLEDGEMENTS CO WORKERS H. Taha, ALTOSTRATUS, SJSU R. Balmori, SJSU J. Ching and S. Dupont, EPS/RTP S. Burian, Univ of Utah S. Stetson, SWS, Inc. D. Byan, Univ of Houston J. Allwine, DHS M. Reynolds, BNL FUNDING AGENCIES DHS, USAID, State of Texas, LBNL, NSF

3 OUTLINE ISSUES IN ISSUES IN –URBAN CLIMATE –URBAN WEATHER –URBAN AIR QUALITY –GLOBAL CLIMATE-CHANGE IMPACTS REQUIRED RESEARCH REQUIRED RESEARCH –FIELD STUDIES –THEORETICAL DEVELOPMENT –MODEL DEVELOPMENT

4 Scales in an Urban Environment

5 OBSERVATIONAL NEEDS: URBAN CLIMATE URBAN PBL URBAN PBL –ROUGHNESS DECELERATION VS UHI ACCELERATION –UHI CONFLUENCE VS BARRIER DIFLUENCE –RA FLUX DIV FROM AEROSOLS ROUGHNESS SUB-LAYER ROUGHNESS SUB-LAYER –U * AS f (z) –PROFILERS FROM: SODARS, LIDARS, RADARS, RASS URBAN CANYON LAYER URBAN CANYON LAYER –LINKAGE B/T ROOFTOP AND CANYON FLOWS –STACKED ASYMMETRIC VORTICIES –WALL INDUCED VERTICAL VELOCITIES URBAN SURFACE RS/GIS DATA BASES FOR URBAN SURFACE RS/GIS DATA BASES FOR –LU/LC –SOIL MOSITURE: UHI VS UCI –ALBEDO, ROUGHNESS, EMISSIVITY –3-D UHI ON ALL SFCS

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10 Incorporate Stetson’s high- resolution Houston z o data

11 URBAN MESO-MODELING URBANIZED MESO-MET MODELS URBANIZED MESO-MET MODELS –AEROSOLS AND RFD –PBL EQUATIONS WITH DRAG TERMS –SFC ENERGY AND MOISTURE BALANCES –MM5  WRF ROUGHNESS SUBLAYER MODELS ROUGHNESS SUBLAYER MODELS –REPLACE MONIN-OBUKHOV THEORY –LOWER B.C. FLUXES FROM CANYON MODELS SST (x, y, t) from ocean models SST (x, y, t) from ocean models

12  From Masson (2000)

13 1 km uMM5 end of daytime ΔUHI: 8 PM 21 Aug Upper L: MM5 Upper L: MM5 Upper R: uMM5 Upper R: uMM5 Lower L: uMM5-MM5 Lower L: uMM5-MM5 uMM5  1.5 K warmer uMM5  1.5 K warmer Blob is LU/LC error Blob is LU/LC error

14 URBAN EFFECTS ON WEATHER SEA BREEZE FLOWS SEA BREEZE FLOWS –RETARDED MOVEMENT SYNOPTIC FRONTS SYNOPTIC FRONTS –RETARDED MOVEMENT THUNDERSTORMS THUNDERSTORMS –UHI INITIATION VS. BARRIER SPLITTING –PREVIOUS: METROMEX, NYC, AND ATLANTA –AEROSOL MODIFICATIONS –PROJECT HEAT STUDY OBS AND MESO-MODELS REQUIRED OBS AND MESO-MODELS REQUIRED

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19 MM5 section of potential T and w through strongest UHI- induced updraft at 1700 UTC. Max w is 4.3 m/s.

20 URBAN-SCALE AIR QUALITY OZONE AIR QUALITY OZONE AIR QUALITY –EMISSIONS –URBAN EFFECTS ON DISPERSION –MEOS-SCALE NETWORKS PM2.5 PM2.5 –SUMMER PHOTOCHEMISTRY –WINTER COMBUSTION DURING ALL WEATHER CONDITIONS DURING ALL WEATHER CONDITIONS IN ALL CLIMATE TYPES IN ALL CLIMATE TYPES –OBS –MESO-MODELS

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22 URBAN-CANYON MODELING CANYON SCALE NUMERICAL MODELS CANYON SCALE NUMERICAL MODELS –FOR ER APPLICATIONS –BOTH CFD AND REAL-TIME WIND TUNNEL MODELS PROVIDE WIND TUNNEL MODELS PROVIDE –COMPARISON DATA –PARAMETERIZATION GUIDANCE 2-WAY LINKED MESO & CANYON 2-WAY LINKED MESO & CANYON SCALE MODELS –FOR ER APPLICATIONS –NEED TRANSPORT AND DIFFUSION PROCESSES 2-WAY LINKED INDOOR & OUTDOOR MODELS 2-WAY LINKED INDOOR & OUTDOOR MODELS –ER APPLICATIONS –TRUE DOSAGE CALCULATIONS

23 This and next three are from A. HUBER, EPA/RTP

24 from EPA/RTP WIND TUNNEL

25 ER AIR-QUALITY ER PLANNING FOR ER PLANNING FOR –ACCIDENTAL RELEASES –TERRORIST RELEASES ER PLANNING: NEEDS ER PLANNING: NEEDS –TRACER STUDIES (URBAN 2000, JOINT URBAN, DHS/UDS/ NYC) –SECURE DATA-COMMUNICATIONS –MULTISCALE MODELS (SYNOPTIC, MESO, CANYON, INDOOR) –UNDERSTANDABLE DATA DISPLAY FOR RESPONERS DURING ALL WEATHER CONDITIONS IN ALL CLIMATES DURING ALL WEATHER CONDITIONS IN ALL CLIMATES

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28 QUIC Simulation with dd = 215 deg (from M. Brown, LANL) wind vectors at 5 m height

29 from LBNL

30 URBAN IMPACTS FROM GLOBAL CLIMATE CHANGE URBAN POLLUTANT EMISSIONS URBAN POLLUTANT EMISSIONS –SOURCES FOR GLOBAL CONTAMINATION –CLIMATE CHANGE INDUCED TRENDS INCREASED URBAN THERMAL-STRESS MORTALITY INCREASED URBAN THERMAL-STRESS MORTALITY (COLUMBIA/GISS, U of H, & PSU PROJECTS) CHANGES IN CHANGES IN –WINTER AND SUMMER STORM TRACKS –URBAN PRECIP –URBAN FLOODING LITTLE COMMUNICATION B/T RESEARCH GROUPS LITTLE COMMUNICATION B/T RESEARCH GROUPS –GLOBAL CHANGE –URBAN CLIMATE

31 NYC OBS REFERENCES Bornstein 1968: J. Appl. Met.., 7., 575-82. Bornstein 1968: J. Appl. Met.., 7., 575-82. Born. & Johnson 1977: At. Env., 11, 597- 04 Born. & Johnson 1977: At. Env., 11, 597- 04 Loose & Born. 1977: MWR, 105, 567-71. Loose & Born. 1977: MWR, 105, 567-71. Born. & Thompson, 1981: JAM, 20, 843- 58 Born. & Thompson, 1981: JAM, 20, 843- 58 Gaffen & Born. 1988: Met. and Atmos. Phys, 38, 185 ‑ 94 Gaffen & Born. 1988: Met. and Atmos. Phys, 38, 185 ‑ 94 Born.1987: Modeling the Urban BL, AMS, 53 ‑ 93. Born.1987: Modeling the Urban BL, AMS, 53 ‑ 93.


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