Title: Prof' Daewon Byun,
1Global, Regional, Urban, and Neighborhood Scale
Atmospheric modeling meteorology, emissions,
and air quality
Prof. Daewon Byun, IMAQS, University of Houston
2University of Houston IMAQS Global/Regional/Urban/
Neighborhood Scale Atmospheric Modeling
Analysis Tools
GEOS-CHEM
3Multiscale Modeling for Regional Haze Study
Global to Regional Linkage
Linking CMAQ with GEOS-CHEM
Daewon Byun, N.K. Moon, H.J. In, S.T.
Kim Institute for Multidimensional Air Quality
Studies (IMAQS) University of Houston
Prof. D. Jacob, Dr. R.K. Park Harvard University
4Regional Air Quality Model requires
prescription of IC/BCs
- - Current usage mostly rely on climatological
fixed profiles - - Could be different at each sides of domain
reflecting certain regional differences - - Works best when outside the boundaries of the
domain does not have much direct emissions and no
high concentration blobs already existing - - Need to study sensitivity of the model
simulations to the different IC/BCs - - In reality fixed profiles are never accurate
5Linkage between GEOS-CHEM and CMAQ
IC/BC Process
6Example result of initial condition for O3 after
GEOS2CMAQ Interface
GEOS-CHEM 2O X 2.5O resolution
CMAQ-108km resolution
7Example result of initial condition for CO after
GEOS2CMAQ Interface
GEOS-CHEM 2O X 2.5O resolution
CMAQ-108km resolution
8(EPA, 2001)
Matching GEOS-CHEM and CMAQ chemistry mechanism
9CMAQ simulation for an episode of trans-boundary
transport of particles1998 May
GEOS-8 Visible IMAGE 98/05/04
103D Satellite Data of the C. American Smoke (from
Prof. Rudy Husar, WSU)
11Smoke from biomass burning
Satellite picture shows smoke from Mexican
forest fire affecting Texas air quality on May
.
18, 1998
12Forward trajectories of particles starting 07 May
1998
13CMAQ EC concentration using Geos-chem BC
TOMS Aerosol Index
May 13 1998
16
May 14 1998
14CMAQ EC concentration using Geos-chem BC
TOMS Aerosol Index
May 15 1998
May 16 1998
15IMPROVE Sites
16Simulated / Observed EC concentration
IMPROVE monitoring sites
Upper Buffalo Wilderness
Big Bend Natl Park
May 1998
17Elemental Carbon
18Elemental Carbon
19Elemental Carbon
20Scatter diagram of monthly mean Elemental
Carbon over 44 improve sites
21Simulated / Observed OC concentration
IMPROVE monitoring sites
Upper Buffalo Wilderness
Big Bend Natl Park
May 1998
22Scatter diagram of monthly mean Organic
Carbon over 44 improve sites
23Aerosol extinction coefficient
24Summary
- Global and regional scale models (GEOS-CHEM and
CMAQ) successfully linked - Demonstration for May 1998 trans-boundary flux
episode - CMAQ w/ GEOS-CHEM IC/BC results show obvious
benefits - EC OC are critical for CENRAP regional haze
study - EC is very important in determining extinction
coefficient - Humidity effects on visibility for sulfates and
nitrates are important - OC also contributes to regional haze
substantially
25Issues of linking GEOSCHEM and CMAQ
- Possible inconsistencies between the global and
regional scale dynamics - - inflow conditions at the boundary
- - differences in the evolution of dynamics with
time - Remedy (TBD soon)
- - Run regional scale model with global scale
output as input for initialization and analysis
nudging
26Regional and Urban Scale Air Quality Forecasting
System
Prototype Development for CONUS, Gulf Coat
States, and Houston Galveston Metropolitan Areas
Daewon Byun, H.J. In, Y.P. Li, S.T. Kim, S.B.
Kim, F. Ngan Institute for Multidimensional Air
Quality Studies (IMAQS) University of Houston
27Simulation domain
1
2
3
28Tools
- Data Spider helps to automatically obtain and
store text - or image data available on the Internet.
Currently, it supports - the data transfer protocols such as FTP,
Http-Get, Http-Post, and simple URLs.
Met. Data Collection
Data
Data
Parameter Value
Auxiliary
Specifications
Parameter Value
Auxiliary
Specifications
List Files
Tools
in XML
List Files
Tools
in XML
FTP, and HTTP
FTP, and HTTP
Raw Data
Raw Data
(GET, POST)
(GET, POST)
DataSpider
in Disk
Resources through
DataSpider
in Disk
Resources through
the Internet
(
Perl
Scripts)
the Internet
(
Perl
Scripts)
SpiderWaiter
SpiderWaiter
Data in Plain Text
Data in Plain Text
or
Bindary
or
Bindary
Archived Format
Archived Format
- aqf.pl automatic flow control and job scheduling
- Combining these two tools can serve many purposes
29- Air Quality Forecasting for Houston-Galveston Area
Input data NOAA/EDAS Local Met. Observations
30Automatized control Flow Schedule
31Prototype Air Quality Forecasting for HGA
- Daily forecasting expected to start in February,
2004 - MM5/NOAH with modified parameters
- Will collaborate with TAMU (Prof.
Nielsen-Gammon) - on meteorological characterization
- SMOKE emissions processing with TCEQ 2000 EI
- CMAQ
- O3 and Particulates
- Web presentation tools will be evolving
32Urban and Neighborhood Scale Meteorological,
Emissions, and Multi-pollutant Air Quality
Modeling
Database development O3, Particulate, Air
Toxics Modeling tool development Linkage with
health effects study
Daewon Byun, F.Y. Cheng, S.T. Kim, B. Czader, V.
Coarfa, T. Banga Institute for Multidimensional
Air Quality Studies (IMAQS) University of Houston
33Land use/Land cover effects on urban meteorology
HARC funding, Texas Forest Service, TCEQ
- ObjectivesStudy of the effects of land use and
land cover modification on the urban heat island
development and on the air quality in the
Houston-Galveston metropolitan area. - Methods
- Conduct meteorological, emissions, and air
quality sensitivity modeling - Improve meteorological simulations by applying
better physics - Incorporate most up-to-dated detailed land use
and land cover data
34dominant landuse data used in MM5
Urban 10 sites Rural 18 sites
352-m temperature
UH_modify modify thermal conductivity in
urban adding canopy moisture into urban
modify emissivity in urban modify emissivity in
rural
Urban CAMS site average
Rural CAMS site average
36Scattered diagram of 2-m temperature the urban
sites
UH_modify modify thermal conductivity in
urban adding canopy moisture into urban
modify emissivity in urban modify emissivity in
rural
A consistent low bias in the urban sites
especially in s404 (in the boundary of urban and
rural area) and s100 (close to coast area).
37Scattered diagram of 2-m temperature the rural
sites
UH_modify modify thermal conductivity in
urban adding canopy moisture into urban
modify emissivity in urban modify emissivity in
rural
38Land use database- TCEQ Biogenic
39Land use database- TCEQ Biogenic
40- Base Land Use and Land Cover Database
From Stephen Stetson Texas Forest Service
41Land use database- Forest Services
42Land use database- Forest Services
43- Air Pollutant Precursor Emissions Characterization
Houston-Galveston
Non-attainment area due to high ground-level
ozone concentrations
Several air quality modeling studies
CMAQ, CAMx and etc.
Available Emissions Inventories
National - NET96, NEI99 from U.S. EPA
State - Texas Emissions Inventory from
TCEQ (Texas Commission on
Environmental Quality)
Emissions processing systems
SMOKE - NET96, NEI99
EPS2 - Texas Emission Inventory (TEI)
44- Air Pollutant Precursor Emissions Characterization
Corporation With HGAC
(g/km/hr)
Houston road network link data showing NOx
emissions
45- Air Pollutant Precursor Emissions Characterization
Corporation With HGAC
CO
(g/km/hr)
Houston road network link data showing CO
emissions
46Alkene Emissions From Point Sources
47- Air Toxics Emissions and Concentrations
Emissions
Toxics concentrations
48- Study fine scale meteorological and air quality
modeling
From Steven Burian
Houston ShipChannel
Houston Downtown
49TNRIS DOQ (1m) Showing UofH Area
50Ship Channel LIDAR data (5 m) w/o DEM
51Houston Downtown
LIDAR data (1 m) w/ DEM
52Houston Downtown
LIDAR data (5 m) w/ shapefiles
53Houston Baytown
54Houston Baytown
55Houston Baytown ExxonMobil Facility
56Houston Baytown
LIDAR data (1 m) w/ shapefiles
57Use of Land use/Land cover and LIDAR building data
urban and neighborhood scale Meteorological
Simulation (urban model) Emissions Processing
(new LU/LC data) Air quality modeling Computatio
nal flow modeling at fine scale