MESOSCALE MODELING FOR AIR QUALITY FORECASTING by ROBERT D. BORNSTEIN DEPT. OF METEOROLOGY SAN JOSE...
-
Upload
bryce-harvey -
Category
Documents
-
view
217 -
download
0
Transcript of MESOSCALE MODELING FOR AIR QUALITY FORECASTING by ROBERT D. BORNSTEIN DEPT. OF METEOROLOGY SAN JOSE...
MESOSCALE MODELING FOR AIR QUALITY FORECASTING
by
ROBERT D. BORNSTEINDEPT. OF METEOROLOGY
SAN JOSE STATE UNIVERSITYSAN JOSE, CA USA
Prepared for FORUM ON:
CHALLENGES IN URBAN METEOROLOGYROCKVILLE, MD
21-23 SEPT 2004
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
OUTLINEOUTLINE• ISSUES INISSUES IN
– URBAN CLIMATEURBAN CLIMATE– URBAN WEATHERURBAN WEATHER– URBAN AIR QUALITYURBAN AIR QUALITY– GLOBAL CLIMATE-CHANGE IMPACTSGLOBAL CLIMATE-CHANGE IMPACTS
• REQUIRED RESEARCHREQUIRED RESEARCH– FIELD STUDIESFIELD STUDIES– THEORETICAL DEVELOPMENTTHEORETICAL DEVELOPMENT– MODEL DEVELOPMENTMODEL DEVELOPMENT
Scales in an Urban Scales in an Urban EnvironmentEnvironment
OBSERVATIONAL NEEDS: URBAN OBSERVATIONAL NEEDS: URBAN CLIMATECLIMATE• URBAN PBLURBAN PBL
– ROUGHNESS DECELERATION VS UHI ACCELERATIONROUGHNESS DECELERATION VS UHI ACCELERATION– UHI CONFLUENCE VS BARRIER DIFLUENCEUHI CONFLUENCE VS BARRIER DIFLUENCE– RA FLUX DIV FROM AEROSOLSRA FLUX DIV FROM AEROSOLS
• ROUGHNESS SUB-LAYERROUGHNESS SUB-LAYER– UU** AS f (z) AS f (z)– PROFILERS FROM: SODARS, LIDARS, RADARS, RASSPROFILERS FROM: SODARS, LIDARS, RADARS, RASS
• URBAN CANYON LAYERURBAN CANYON LAYER– LINKAGE B/T ROOFTOP AND CANYON FLOWSLINKAGE B/T ROOFTOP AND CANYON FLOWS– STACKED ASYMMETRIC VORTICIESSTACKED ASYMMETRIC VORTICIES– WALL INDUCED VERTICAL VELOCITIES WALL INDUCED VERTICAL VELOCITIES
• URBAN SURFACE RS/GIS DATA BASES FORURBAN SURFACE RS/GIS DATA BASES FOR – LU/LCLU/LC– SOIL MOSITURE: UHI VS UCISOIL MOSITURE: UHI VS UCI– ALBEDO, ROUGHNESS, EMISSIVITYALBEDO, ROUGHNESS, EMISSIVITY– 3-D UHI ON ALL SFCS 3-D UHI ON ALL SFCS
Incorporate Stetson’s high- Incorporate Stetson’s high- resolution Houston zresolution Houston zoo data data
URBAN MESO-MODELINGURBAN MESO-MODELING• URBANIZED MESO-MET MODELSURBANIZED MESO-MET MODELS
– AEROSOLS AND RFDAEROSOLS AND RFD– PBL EQUATIONS WITH DRAG TERMSPBL EQUATIONS WITH DRAG TERMS– SFC ENERGY AND MOISTURE BALANCESSFC ENERGY AND MOISTURE BALANCES– MM5 MM5 WRF WRF
• ROUGHNESS SUBLAYER MODELSROUGHNESS SUBLAYER MODELS– REPLACE MONIN-OBUKHOV THEORYREPLACE MONIN-OBUKHOV THEORY– LOWER B.C. FLUXES FROM CANYON LOWER B.C. FLUXES FROM CANYON
MODELSMODELS
• SST (x, y, t) from ocean modelsSST (x, y, t) from ocean models
From Masson (2000)
1 km uMM5 end of daytime 1 km uMM5 end of daytime ΔΔUHI: 8 PM 21 UHI: 8 PM 21 AugAug
Upper L: MM5Upper L: MM5
Upper R: uMM5Upper R: uMM5
Lower L: uMM5-Lower L: uMM5-MM5MM5
uMM5uMM5 1.5 K 1.5 K warmerwarmer
Blob is LU/LC errorBlob is LU/LC error
URBAN EFFECTS ON URBAN EFFECTS ON WEATHERWEATHER• SEA BREEZE FLOWSSEA BREEZE FLOWS
– RETARDED MOVEMENTRETARDED MOVEMENT
• SYNOPTIC FRONTSSYNOPTIC FRONTS– RETARDED MOVEMENTRETARDED MOVEMENT
• THUNDERSTORMSTHUNDERSTORMS– UHI INITIATION VS. BARRIER SPLITTINGUHI INITIATION VS. BARRIER SPLITTING– PREVIOUS: METROMEX, NYC, AND ATLANTAPREVIOUS: METROMEX, NYC, AND ATLANTA– AEROSOL MODIFICATIONSAEROSOL MODIFICATIONS– PROJECT HEAT STUDYPROJECT HEAT STUDY
• OBS AND MESO-MODELS REQUIREDOBS AND MESO-MODELS REQUIRED
MM5 section of potential T and w through strongest UHI-induced updraft at 1700 UTC. Max w is 4.3 m/s.
URBAN-SCALE AIR QUALITYURBAN-SCALE AIR QUALITY
• OZONE AIR QUALITYOZONE AIR QUALITY– EMISSIONSEMISSIONS– URBAN EFFECTS ON DISPERSIONURBAN EFFECTS ON DISPERSION– MEOS-SCALE NETWORKSMEOS-SCALE NETWORKS
• PM2.5PM2.5– SUMMER PHOTOCHEMISTRYSUMMER PHOTOCHEMISTRY– WINTER COMBUSTIONWINTER COMBUSTION
• DURING ALL WEATHER CONDITIONSDURING ALL WEATHER CONDITIONS IN ALL CLIMATE TYPESIN ALL CLIMATE TYPES– OBSOBS– MESO-MODELSMESO-MODELS
URBAN-CANYON MODELINGURBAN-CANYON MODELING• CANYON SCALE NUMERICAL MODELSCANYON SCALE NUMERICAL MODELS
– FOR ER APPLICATIONSFOR ER APPLICATIONS– BOTH CFD AND REAL-TIMEBOTH CFD AND REAL-TIME
• WIND TUNNEL MODELS PROVIDEWIND TUNNEL MODELS PROVIDE– COMPARISON DATACOMPARISON DATA– PARAMETERIZATION GUIDANCEPARAMETERIZATION GUIDANCE
• 2-WAY LINKED MESO & CANYON 2-WAY LINKED MESO & CANYON SCALE MODELSSCALE MODELS
– FOR ER APPLICATIONSFOR ER APPLICATIONS– NEED TRANSPORT AND DIFFUSION PROCESSESNEED TRANSPORT AND DIFFUSION PROCESSES
• 2-WAY LINKED INDOOR & OUTDOOR 2-WAY LINKED INDOOR & OUTDOOR MODELSMODELS– ER APPLICATIONSER APPLICATIONS– TRUE DOSAGE CALCULATIONSTRUE DOSAGE CALCULATIONS
This and next three are from A. HUBER, EPA/RTP
from EPA/RTP WIND TUNNEL
ER AIR-QUALITYER AIR-QUALITY
• ER PLANNING FORER PLANNING FOR– ACCIDENTAL RELEASESACCIDENTAL RELEASES– TERRORIST RELEASESTERRORIST RELEASES
• ER PLANNING: NEEDSER PLANNING: NEEDS– TRACER STUDIES TRACER STUDIES (URBAN 2000, JOINT URBAN, DHS/UDS/ (URBAN 2000, JOINT URBAN, DHS/UDS/
NYC)NYC)– SECURE DATA-COMMUNICATIONSSECURE DATA-COMMUNICATIONS– MULTISCALE MODELS (SYNOPTIC, MESO, CANYON, MULTISCALE MODELS (SYNOPTIC, MESO, CANYON,
INDOOR)INDOOR)– UNDERSTANDABLE DATA DISPLAY FOR RESPONERSUNDERSTANDABLE DATA DISPLAY FOR RESPONERS
• DURING ALL WEATHER CONDITIONS IN ALL DURING ALL WEATHER CONDITIONS IN ALL CLIMATESCLIMATES
QUIC Simulation with dd = 215 deg (from M. Brown, LANL)
wind vectors at 5 m height
from LBNL
URBAN IMPACTS FROM GLOBAL URBAN IMPACTS FROM GLOBAL CLIMATE CHANGECLIMATE CHANGE
• URBAN POLLUTANT EMISSIONSURBAN POLLUTANT EMISSIONS– SOURCES FOR GLOBAL CONTAMINATIONSOURCES FOR GLOBAL CONTAMINATION– CLIMATE CHANGE INDUCED TRENDSCLIMATE CHANGE INDUCED TRENDS
• INCREASED URBAN THERMAL-STRESS MORTALITY INCREASED URBAN THERMAL-STRESS MORTALITY (COLUMBIA/GISS, U of H, & PSU PROJECTS)(COLUMBIA/GISS, U of H, & PSU PROJECTS)
• CHANGES IN CHANGES IN – WINTER AND SUMMER STORM TRACKSWINTER AND SUMMER STORM TRACKS– URBAN PRECIP URBAN PRECIP – URBAN FLOODINGURBAN FLOODING
• LITTLE COMMUNICATION B/T RESEARCH GROUPS LITTLE COMMUNICATION B/T RESEARCH GROUPS – GLOBAL CHANGE GLOBAL CHANGE – URBAN CLIMATE URBAN CLIMATE
NYC OBS REFERENCESNYC OBS REFERENCES
• Bornstein 1968: Bornstein 1968: J. Appl. Met.., J. Appl. Met.., 7., 575-82.7., 575-82.• Born. & Johnson 1977: Born. & Johnson 1977: At. Env.,At. Env., 11, 597-04 11, 597-04• Loose & Born. 1977: Loose & Born. 1977: MWR,MWR, 105, 567-71. 105, 567-71.• Born. & Thompson, 1981: Born. & Thompson, 1981: JAMJAM, 20, 843-58, 20, 843-58• Gaffen & Born. 1988: Gaffen & Born. 1988: Met. and Atmos. Met. and Atmos.
PhysPhys, 38, 38,, 185‑94 185‑94• Born.1987: Born.1987: Modeling the Urban BL,Modeling the Urban BL, AMS, AMS,
53‑93. 53‑93.