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BREEZE Software
12770 Merit Drive | Suite 900 | Dallas, TX 75251
+1 (972) 661-8881 | breeze-software.com
George J. Schewe, CCM, QEP
June 26, 2012
Generating and Using
Meteorological Data in AERMOD
M t l i T t tiMeteorology in Transportation
Hot Spot ModelingHot Spot Modeling
 AERMOD mentioned
i S ti 3 6in Section 3.6
 Focus here on
AERMOD input filesAERMOD input files
 Section 7.5 -
Incorporating
Meteorological Data
 From where do the
data come?data come?
Wh t i AERMOD?What is AERMOD?
“A steady-state plume model that
incorporates air dispersion based on
planetary boundary layer turbulence
structure and scaling concepts,
including treatment of both surface and
elevated sources, and both simple and
complex terrain.”
Support Center for Regulatory Air Models -
www.epa.gov/scram001/dispersion_prefrec.htm
H t S t M d li PHot-Spot Modeling Process
1. Determine need for analysis
2. Determine approach, models, data
3. Estimate on-road motor vehicle emissions
4. Estimate emissions from road dust, construction, other
sourcessou ces
5. Select AQ model, meteorology, roadway configurations,
receptors, background concentrations
6 C l l t d i l t NAAQS d6. Calculate design values, compare to NAAQS, and
determine conformity
7. Consider mitigation or control measures and repeat
Meteorological Data for AERMOD
 Finding representative meteorological
d t NWS FAA SCRAM itdata – NWS, FAA, SCRAM, onsite
 Surface and upper air data
 AERSURFACE for albedo, Bowen
ratio, surface roughness
 AERMET preprocessor
S l ti M t l fSelecting Meteorology for
Project-Level Hot-Spot AnalysisProject Level Hot Spot Analysis
 Surface met data – NWS, Onsite, other
 Offsite met data – minimum five years
 Onsite met data – minimum one year
U i t d t Upper air met data
 Surface characteristics, land use
 Population data – used for urban-rural
 Representative of the project area?
R t ti fRepresentativeness of
Meteorology for Hot-Spot AnalysisMeteorology for Hot Spot Analysis
 Proximity of project to met data site
 Similarity of land use and surface
characteristics
 Time period of data
 Similarity of terrain features Similarity of terrain features
 Climate similarities
Ai t Sit LULCAirport vs Site LULC
S f D tSurface Data
 National Weather Service Data is typical
 TD-3505 format (Integrated Hourly Surface TD 3505 format (Integrated Hourly Surface
Data) obtained from National Climatic Data
Center in Asheville or
ftp://ftp3.ncdc.noaa.gov/pub/data/noaa
 Minute data obtained from NOAA at
ftp://ftp ncdc noaa gov/pub/data/asos-oneminftp://ftp.ncdc.noaa.gov/pub/data/asos-onemin
 Verify station location at
http://www4.ncdc.noaa.gov/cgi-win/wwcgi.dll?WWDI~StnSrch
htt // i d / / d /http://gis.ncdc.noaa.gov/map/cdo/
htt // i d / / dhttp://gis.ncdc.noaa.gov/map/cd
o/o/
St ti L tiStation Location
Station LocationStation Location
BiGoogle Earth Bing
U Ai D tUpper Air Data
 National Weather Service Data is typical
 FSL Format (Forecast Systems Laboratory) FSL Format (Forecast Systems Laboratory)
obtained from NOAA online at
http://www.esrl.noaa.gov/raobs
 Verify station location at
http://www4.ncdc.noaa.gov/cgi-win/wwcgi.dll?WWDI~StnSrch
Upper Air Observation sites
Upper Air Station LocationUpper Air Station Location
BiGoogle Earth Bing
L d ULand Use
 From the USGS Seamless Server at
http://seamless.usgs.gov/website/seamless/viewer.htm
 Currently only NLCD92 format
R i f L d UReview of Land Use
Facility Landuse
AERSURFACE O t tAERSURFACE Output
Season Sect Alb Bo Zo
SITE_CHAR 1 1 0.17 0.92 0.026
SITE_CHAR 1 2 0.17 0.92 0.013
SITE CHAR 1 3 0.17 0.92 0.012
 Alb – albedo is the
amount of solar radiation
reflected by the surface
SITE_CHAR 1 3 0.17 0.92 0.012
SITE_CHAR 1 4 0.17 0.92 0.030
SITE_CHAR 1 5 0.17 0.92 0.021
SITE_CHAR 1 6 0.17 0.92 0.128
SITE_CHAR 1 7 0.17 0.92 0.571
 Bo – Bowen ratio is the
ratio of sensible to latent
heat_
SITE_CHAR 1 8 0.17 0.92 0.319
SITE_CHAR 1 9 0.17 0.92 0.285
SITE_CHAR 1 10 0.17 0.92 0.035
SITE_CHAR 1 11 0.17 0.92 0.018
 Zo – surface roughness
length is related to the
land use which interrupts
SITE_CHAR 1 12 0.17 0.92 0.030
SITE_CHAR 2 1 0.16 0.66 0.036
SITE_CHAR 2 2 0.16 0.66 0.019
SITE_CHAR 2 3 0.16 0.66 0.017
land use which interrupts
smooth-flowing winds at
the surface
SITE_CHAR 2 4 0.16 0.66 0.044
SITE_CHAR 2 5 0.16 0.66 0.031
SITE_CHAR 2 6 0.16 0.66 0.163
AERMET P iAERMET Processing
 Stage 1 and 2 
Raw Sounding
File
AERMET QA
-------------- Stage 1 and 2 -----------------
Stage 3
Surface
Raw
S f Fil
AERMET QA
File
MERGE
Surface File
AERMET QA
Raw
MERGE
Upper
Manual/AERMET
On-site File
Explicit Land
Bowen ratio,
roughness,
QA
1-min data AERMINUTE
Explicit Land
Use Analysis
g ,
albedo
F t f AERMETFeatures of AERMET
Processes one minute and hourly surface observations,
twice-daily upper air soundings, and on-site
measurements:
AERMINUTE processes one minute u and AERMINUTE – processes one minute u and 
AERMET – processes in three stages
 Stage 1: Extracts/processes data from AERMINUTE,S age ac s/p ocesses da a o U ,
archived data files and performs quality assessment (QA)
 Stage 2: Merges all data from Stage 1 and stores these
data together in a single file
 Stage 3: Reads merged meteorological data and estimates
b d l t f b AERMODboundary layer parameters for use by AERMOD
Surface Turbulence Parameters
 AERMET computes turbulence parameters
for use in AERMOD
 Sensible heat flux
 Surface friction velocity
 Convective velocity scale Convective velocity scale
 Convective boundary layer height
 Vertical potential temperature gradientp p g
 Stable boundary layer height
 Monin-Obukhov length
Processed Met DataProcessed Met Data
Met Data File using PCRAMMETMet Data File using PCRAMMET
Surface Met Data File using AERMET
Questions/Discussion?
George J. Schewe, CCM, QEP
(859) 341-8100(859) 341-8100
gschewe@trinityconsultants.com
www trinityconsultants comwww.trinityconsultants.com

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Generating and Using Meteorological Data in AERMOD

  • 1. Prepared by: BREEZE Software 12770 Merit Drive | Suite 900 | Dallas, TX 75251 +1 (972) 661-8881 | breeze-software.com George J. Schewe, CCM, QEP June 26, 2012 Generating and Using Meteorological Data in AERMOD
  • 2. M t l i T t tiMeteorology in Transportation Hot Spot ModelingHot Spot Modeling  AERMOD mentioned i S ti 3 6in Section 3.6  Focus here on AERMOD input filesAERMOD input files  Section 7.5 - Incorporating Meteorological Data  From where do the data come?data come?
  • 3. Wh t i AERMOD?What is AERMOD? “A steady-state plume model that incorporates air dispersion based on planetary boundary layer turbulence structure and scaling concepts, including treatment of both surface and elevated sources, and both simple and complex terrain.” Support Center for Regulatory Air Models - www.epa.gov/scram001/dispersion_prefrec.htm
  • 4.
  • 5. H t S t M d li PHot-Spot Modeling Process 1. Determine need for analysis 2. Determine approach, models, data 3. Estimate on-road motor vehicle emissions 4. Estimate emissions from road dust, construction, other sourcessou ces 5. Select AQ model, meteorology, roadway configurations, receptors, background concentrations 6 C l l t d i l t NAAQS d6. Calculate design values, compare to NAAQS, and determine conformity 7. Consider mitigation or control measures and repeat
  • 6.
  • 7. Meteorological Data for AERMOD  Finding representative meteorological d t NWS FAA SCRAM itdata – NWS, FAA, SCRAM, onsite  Surface and upper air data  AERSURFACE for albedo, Bowen ratio, surface roughness  AERMET preprocessor
  • 8. S l ti M t l fSelecting Meteorology for Project-Level Hot-Spot AnalysisProject Level Hot Spot Analysis  Surface met data – NWS, Onsite, other  Offsite met data – minimum five years  Onsite met data – minimum one year U i t d t Upper air met data  Surface characteristics, land use  Population data – used for urban-rural  Representative of the project area?
  • 9. R t ti fRepresentativeness of Meteorology for Hot-Spot AnalysisMeteorology for Hot Spot Analysis  Proximity of project to met data site  Similarity of land use and surface characteristics  Time period of data  Similarity of terrain features Similarity of terrain features  Climate similarities
  • 10. Ai t Sit LULCAirport vs Site LULC
  • 11. S f D tSurface Data  National Weather Service Data is typical  TD-3505 format (Integrated Hourly Surface TD 3505 format (Integrated Hourly Surface Data) obtained from National Climatic Data Center in Asheville or ftp://ftp3.ncdc.noaa.gov/pub/data/noaa  Minute data obtained from NOAA at ftp://ftp ncdc noaa gov/pub/data/asos-oneminftp://ftp.ncdc.noaa.gov/pub/data/asos-onemin  Verify station location at http://www4.ncdc.noaa.gov/cgi-win/wwcgi.dll?WWDI~StnSrch
  • 12. htt // i d / / d /http://gis.ncdc.noaa.gov/map/cdo/
  • 13. htt // i d / / dhttp://gis.ncdc.noaa.gov/map/cd o/o/
  • 14. St ti L tiStation Location
  • 16. U Ai D tUpper Air Data  National Weather Service Data is typical  FSL Format (Forecast Systems Laboratory) FSL Format (Forecast Systems Laboratory) obtained from NOAA online at http://www.esrl.noaa.gov/raobs  Verify station location at http://www4.ncdc.noaa.gov/cgi-win/wwcgi.dll?WWDI~StnSrch
  • 18. Upper Air Station LocationUpper Air Station Location BiGoogle Earth Bing
  • 19. L d ULand Use  From the USGS Seamless Server at http://seamless.usgs.gov/website/seamless/viewer.htm  Currently only NLCD92 format
  • 20. R i f L d UReview of Land Use Facility Landuse
  • 21. AERSURFACE O t tAERSURFACE Output Season Sect Alb Bo Zo SITE_CHAR 1 1 0.17 0.92 0.026 SITE_CHAR 1 2 0.17 0.92 0.013 SITE CHAR 1 3 0.17 0.92 0.012  Alb – albedo is the amount of solar radiation reflected by the surface SITE_CHAR 1 3 0.17 0.92 0.012 SITE_CHAR 1 4 0.17 0.92 0.030 SITE_CHAR 1 5 0.17 0.92 0.021 SITE_CHAR 1 6 0.17 0.92 0.128 SITE_CHAR 1 7 0.17 0.92 0.571  Bo – Bowen ratio is the ratio of sensible to latent heat_ SITE_CHAR 1 8 0.17 0.92 0.319 SITE_CHAR 1 9 0.17 0.92 0.285 SITE_CHAR 1 10 0.17 0.92 0.035 SITE_CHAR 1 11 0.17 0.92 0.018  Zo – surface roughness length is related to the land use which interrupts SITE_CHAR 1 12 0.17 0.92 0.030 SITE_CHAR 2 1 0.16 0.66 0.036 SITE_CHAR 2 2 0.16 0.66 0.019 SITE_CHAR 2 3 0.16 0.66 0.017 land use which interrupts smooth-flowing winds at the surface SITE_CHAR 2 4 0.16 0.66 0.044 SITE_CHAR 2 5 0.16 0.66 0.031 SITE_CHAR 2 6 0.16 0.66 0.163
  • 22. AERMET P iAERMET Processing  Stage 1 and 2  Raw Sounding File AERMET QA -------------- Stage 1 and 2 ----------------- Stage 3 Surface Raw S f Fil AERMET QA File MERGE Surface File AERMET QA Raw MERGE Upper Manual/AERMET On-site File Explicit Land Bowen ratio, roughness, QA 1-min data AERMINUTE Explicit Land Use Analysis g , albedo
  • 23. F t f AERMETFeatures of AERMET Processes one minute and hourly surface observations, twice-daily upper air soundings, and on-site measurements: AERMINUTE processes one minute u and AERMINUTE – processes one minute u and  AERMET – processes in three stages  Stage 1: Extracts/processes data from AERMINUTE,S age ac s/p ocesses da a o U , archived data files and performs quality assessment (QA)  Stage 2: Merges all data from Stage 1 and stores these data together in a single file  Stage 3: Reads merged meteorological data and estimates b d l t f b AERMODboundary layer parameters for use by AERMOD
  • 24. Surface Turbulence Parameters  AERMET computes turbulence parameters for use in AERMOD  Sensible heat flux  Surface friction velocity  Convective velocity scale Convective velocity scale  Convective boundary layer height  Vertical potential temperature gradientp p g  Stable boundary layer height  Monin-Obukhov length
  • 25. Processed Met DataProcessed Met Data Met Data File using PCRAMMETMet Data File using PCRAMMET Surface Met Data File using AERMET
  • 26. Questions/Discussion? George J. Schewe, CCM, QEP (859) 341-8100(859) 341-8100 gschewe@trinityconsultants.com www trinityconsultants comwww.trinityconsultants.com