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Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1 , M. Talat Odman 1 , Michael E. Chang 2 and Armistead G. Russell 1 1 School of Civil & Environmental Engineering, 2 Brook Byers Institute of Sustainable Systems Georgia Institute of Technology 10 th Annual CMAS Conference, October 24 th , 2010

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Page 1: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Operational Air Quality and Source Contribution Forecasting in Georgia

Georgia Institute of Technology

Yongtao Hu1, M. Talat Odman1, Michael E. Chang2 and Armistead G. Russell1

1School of Civil & Environmental Engineering,2Brook Byers Institute of Sustainable Systems

Georgia Institute of Technology

10th Annual CMAS Conference, October 24th, 2010

Page 2: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Outline

Local Air Quality Forecasting in Georgia

The Hi-Res air quality forecasting system

Evolution of Hi-Res during 2006-2011

Met performance and O3 and PM2.5 performance for metro Atlanta

New SOA module and its impact on PM2.5 performance

Pilot Source Contribution Forecasting

Georgia Institute of Technology

Page 3: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Local Forecasting: How it works in Georgia

A forecasting panel with 5-7 local expert members

•air quality researchers, modelers, meteorologists, etc.

“Voting” through a decision making online system

•the consensus of the panel will be the “ensemble” forecasts

Base their “opinion” on multiple available resources

•NOAA O3 guidance, Statistical model results, Weather forecasts

•Hi-Res O3 and PM2.5 forecasts

•Experiences

Broadcast to the public

•Website: http://www.gaepd.org/air/smogforecast/ and AirNOW

•Smog alert through highway traffic information system

Georgia Institute of Technology

Page 4: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology

Hi-Res: forecasting ozone and PM2.5 at a 4-km resolution for metro areas

in Georgia

CMAQ

SMOKE

Emission Inventory

WRF

NAM 84-hr Forecast

Forecast Product

MeteorologyEmissions

Air Quality

CMAQ

SMOKE

Emission Inventory

WRF

NAM 84-hr Forecast

Forecast Product CMAQCMAQ

SMOKE

Emission Inventory

SMOKESMOKE

Emission InventoryEmission Inventory

WRF

NAM 84-hr Forecast

WRFWRF

NAM 84-hr Forecast NAM 84-hr Forecast

Forecast Product Forecast Product

MeteorologyEmissions

Air Quality

Hi-Res Air Quality Forecasting SystemServing Metro-Atlanta Area since 2006

Hi-Res Modeling Domains

Hi-Res Cycle

12Z 27Z

ramp up 36-12- & 4-km forecasts

78Z

00Z 15Z

ramp up 36-12- & 4-km forecasts

66Z

7pm 0am0am0am0amForecast Day 2

R&R&R&S

Forecast Day 1Forecast Day 2Forecast Day 2Forecast Day 2

Cycle 1

Cycle 2

OperationForecast Day 1Forecast Day 1Forecast Day 1

12Z 27Z

ramp up 36-12- & 4-km forecasts

712Z 27Z

ramp up 36-12- & 4-km forecasts

7

00Z 15Z

ramp up 36-12- & 4-km forecasts

66Z

0am0am0am0amForecast Day 2

R&R&R&S1 F1&R1 R2

Forecast Day 1Forecast Day 2Forecast Day 2

S2 F2

Cycle 1

Cycle 2

OperationForecast Day 1Forecast Day 1

&S&S&S

Forecast Time (UTC)

Computer Time (EST)

Forecast Day 1Forecast Day 1Forecast Day 1 Forecast Day 2Forecast Day 2Forecast Day 2

12Z 27Z

ramp up 36-12- & 4-km forecasts

78Z12Z 27Z

ramp up 36-12- & 4-km forecasts

78Z

00Z 15Z

ramp up 36-12- & 4-km forecasts

66Z

7pm 0am0am0am0amForecast Day 2

R&R&R&S

Forecast Day 1Forecast Day 2Forecast Day 2Forecast Day 2

Cycle 1

Cycle 2

OperationForecast Day 1Forecast Day 1Forecast Day 1

12Z 27Z

ramp up 36-12- & 4-km forecasts

712Z 27Z

ramp up 36-12- & 4-km forecasts

7

00Z 15Z

ramp up 36-12- & 4-km forecasts

66Z

0am0am0am0amForecast Day 2

R&R&R&S1 F1&R1 R2

Forecast Day 1Forecast Day 2Forecast Day 2

S2 F2

Cycle 1

Cycle 2

OperationForecast Day 1Forecast Day 1

&S&S&S

Forecast Time (UTC)

Computer Time (EST)

Forecast Day 1Forecast Day 1Forecast Day 1 Forecast Day 2Forecast Day 2Forecast Day 2

36-km (148x112)

12-km (123x138)

4-km (123x123)

36-km (148x112)

12-km (123x138)

4-km (123x123)

Page 5: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology

Hi-Res Forecast Products“Single Value” Report: tomorrow’s AQI, ozone and PM2.5 by metro area in Georgia

Air Quality Forecasts: AQI, ozone and PM2.5, 48-hrs spatial plots and station profiles

Meteorological Forecasts: precipitation, temperature and winds, 48-hrs spatial plots and station profiles

Performance Evaluation: time series comparison and scatter plots for the previous daySnapshots from Hi-Res homepage:

http://forecast.ce.gatech.edu

Page 6: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Evolution of Hi-Res during 2006-2011Updated to latest release of WRF each year before the ozone season.

•WRF 2.1, 2.2, 3.0, 3.1, 3.2 and 3.3

CMAQ is typically one version behind.

•CMAQ 4.6 with Georgia Tech extensions

Projected NEI to current year in the very beginning of each year.

Updated forecast products website each year before ozone season.

Switched from single-cycle forecasting to two-cycles in 2008.

Enlarged 4-km domain to cover the entire state of Georgia in 2009.

Introduced Georgia Tech’s new SOA module in 2009.

Enlarged 36-km domain to cover the CONUS and enlarged 12-km domain to cover the eastern US in 2011.

In 2011 switched landuse data from old USGS data to new MODIS data in WRF, to reflect recent changes in land cover.

Page 7: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

36-km (72x72)

4-km (99x78)

12-km (72x72)

Current 4-km (123x123)

36-km (72x72)

4-km (99x78)

12-km (72x72)

Current 4-km (123x123)

36-km (148x112)

12-km (123x138)

4-km (123x123)

36-km (148x112)

12-km (123x138)

4-km (123x123)

2006-2010 Current

Enlarged Modeling Domains

Georgia Institute of Technology

Page 8: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Ambient Monitoring Sites for Performance Evaluation in Atlanta

Metro

Confederate AveAtlanta

Kennesaw

DouglasvilleConyers

Newnan

South DeKalb

McDonoughFayetteville

Walton

Peachtree City

Yorkville

Gwinnet

Atlanta

NE Atlanta

West Atlanta

NWS MetSLAMS PM2.5

SLAMS O3

Confederate AveAtlanta

Kennesaw

DouglasvilleConyers

Newnan

South DeKalb

McDonoughFayetteville

Walton

Peachtree City

Yorkville

Gwinnet

Atlanta

NE Atlanta

West Atlanta

NWS MetSLAMS PM2.5

SLAMS O3

Page 9: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Met Performance

Page 10: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

0

2

4

6

8

10

12

14

16

18

20

0 2 4 6 8 10 12 14 16 18 20

Forecast Humidity at 2m (h/kg)

Ob

serv

ed H

um

idit

y at

2m

(g

/kg

)

290

295

300

305

310

315

290 295 300 305 310 315

Forecast Daily Hi Temp at 2m (K)

Ob

serv

ed D

aily

Hi

Tem

p a

t 2m

(K

)

Georgia Institute of Technology

Overall 2006-2011 Performance (Ozone Season): Atlanta Metro

Temperature Humidity

MB -0.39K

ME 1.55K

MB -0.68g/kg

ME 1.19g/kg

Page 11: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2006

290

295

300

305

310

315

5/1/2006 5/31/2006 6/30/2006 7/30/2006 8/29/2006 9/28/2006

Date

Dail

y H

i T

em

p a

t 2m

(K

)

Georgia Institute of Technology

2011

285

290

295

300

305

310

315

05/01/11 05/21/11 06/10/11 06/30/11 07/20/11 08/09/11 08/29/11 09/18/11

Date

Daily H

i T

em

p a

t 2m

(K

)

2008

290

295

300

305

310

315

5/1/2008 5/21/2008 6/10/2008 6/30/2008 7/20/2008 8/9/2008 8/29/2008 9/18/2008

Date

Dail

y H

i T

em

p a

t 2m

(K)

Forecast vs. Observed Temperature2007

290

295

300

305

310

315

5/1/2007 5/21/2007 6/10/2007 6/30/2007 7/20/2007 8/9/2007 8/29/2007 9/18/2007

Date

Da

ily

Hi T

em

p 2

m (

K)

2009

290

295

300

305

310

315

5/1/2009 5/21/2009 6/10/2009 6/30/2009 7/20/2009 8/9/2009 8/29/2009 9/18/2009

DateD

aily H

i T

em

p a

t 2m

(K

)

MB -1.16K

ME 1.90K

MB -0.80

K

ME 1.94K

MB 0.37K

ME 1.47K

2010

290

295

300

305

310

315

05/01/10 05/21/10 06/10/10 06/30/10 07/20/10 08/09/10 08/29/10 09/18/10

Date

Daily H

i T

em

p a

t 2m

(K

)

MB -0.19K

ME 1.15K

MB -0.05K

ME 1.29K

MB 0.50K

ME 1.57K

Page 12: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology

Forecast vs. Observed Humidity2007

0

2

4

6

8

10

12

14

16

18

20

5/1/2007 5/21/2007 6/10/2007 6/30/2007 7/20/2007 8/9/2007 8/29/2007 9/18/2007

Date

Da

ily

Av

g H

um

idit

y a

t 2

m (

g/k

g)

2008

0

2

4

6

8

10

12

14

16

18

20

5/1/2008 5/21/2008 6/10/2008 6/30/2008 7/20/2008 8/9/2008 8/29/2008 9/18/2008

Date

Dail

y A

vg

Hu

mid

ity

at

2m

(g

/kg

)

2009

0

2

4

6

8

10

12

14

16

18

20

5/1/2009 5/21/2009 6/10/2009 6/30/2009 7/20/2009 8/9/2009 8/29/2009 9/18/2009

Date

Dail

y A

vg

Hu

mid

ity a

t 2m

(g

/kg

)

MB -0.59g/kg

ME 1.22g/kg

MB -0.89g/kg

ME 1.33g/kgMB -0.36g/kg

ME 0.96g/kg

2010

0

2

4

6

8

10

12

14

16

18

20

05/01/10 05/21/10 06/10/10 06/30/10 07/20/10 08/09/10 08/29/10 09/18/10

Date

Dail

y A

vg

Hu

mid

ity a

t 2m

(g

/kg

)

MB -0.73g/kg

ME 1.03g/kg

2006

0

2

4

6

8

10

12

14

16

18

20

5/1/2006 5/21/2006 6/10/2006 6/30/2006 7/20/2006 8/9/2006 8/29/2006 9/18/2006

Date

Dail

y A

vg

Hu

mid

ity

at

2m

(g

/kg

)

MB -0.74g/kg

ME 1.39g/kg

2011

0

2

4

6

8

10

12

14

16

18

20

05/01/11 05/21/11 06/10/11 06/30/11 07/20/11 08/09/11 08/29/11 09/18/11

Date

Dail

y A

vg

Hu

mid

ity a

t 2m

(g

/kg

)

MB -0.73g/kg

ME 1.22g/kg

Page 13: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Air Quality Performance Metrics

N

kok

ok

mk

c

cc

N 1

1MNB

N

kok

ok

mk

c

cc

N 1

1MNE

False Alarms

Hits

Correct Nonevents

MissedExceedenc

es

For

ecas

t

Observation

NAAQS

NA

AQ

S

Page 14: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology

Overall 2006-2011 Performance (Ozone Season): Atlanta Metro

Ozone PM2.5

MNB 17%

MNE 23%

MNB -17%

MNE 32%

0

75

150

0 75 150

Obs.

4-km

134 146

52558

0.0

35.0

70.0

0 35 70

Obs.4-

km

0 0

792

52

Page 15: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Ozone Performance

Page 16: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology0

20

40

60

80

100

120

May-10 Jun-10 Jul-10 Aug-10 Sep-10

O3

(pp

b)

Obs 4-km

Forecast vs. Observed O3

0

20

40

60

80

100

120

May-07 Jun-07 Jul-07 Aug-07 Sep-07

O3 (p

pb

)

Obs 4-km

0

20

40

60

80

100

120

May-08 Jun-08 Jul-08 Aug-08 Sep-08

O3

(pp

b)

Obs 4-km

0

20

40

60

80

100

120

May-09 Jun-09 Jul-09 Aug-09 Sep-09

O3

(pp

b)

Obs 4-km

2007

2010

20092008

MNB 14%

MNE 18%

MNB 8.5%

MNE 19%

MNB 17%

MNE 23%

MNB 28%

MNE 30%

0.0

20.0

40.0

60.0

80.0

100.0

120.0

May-01 Jun-01 Jul-01 Aug-01 Sep-01

O3 (

pp

b)

Obs. 4-km

2006 MNB 11%

MNE 29%

0

20

40

60

80

100

120

May-11 Jun-11 Jul-11 Aug-11 Sep-11

O3

(pp

b)

Obs 4-km

2011 MNB 18%

MNE 21%

Page 17: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2009 O3 Performance: Hi-Res vs. GA EPD’s

Our 4-km Forecast EPD Ensemble Forecast

MNB 28%

MNE 30%MNB 13%

MNE 21%

0

75

150

0 75 150

Obs.

4-km

24 7

1084

0

75

150

0 75 150

Obs.E

PD

7 6

1255

Page 18: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2010 O3 Performance: Hi-Res vs. GA EPD’s

Our 4-km Forecast EPD Ensemble Forecast

MNB 14%

MNE 18%

MNB 9%

MNE 17%

0

75

150

0 75 150

Obs.

4-km

14 12

10511

0

75

150

0 75 150

Obs.E

PD

16 10

10412

Page 19: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2011 O3 Performance: Hi-Res vs. GA EPD’s

Our 4-km Forecast EPD Ensemble Forecast

MNB 18%

MNE 21%

MNB 8%

MNE 16%

0

75

150

0 75 150

Obs.

4-km

26 36

7610

0

75

150

0 75 150

Obs.

EP

D

13 32

9112

Page 20: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

PM2.5 Performance

Page 21: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Summer

Page 22: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology0

5

10

15

20

25

30

35

40

45

May-10 Jun-10 Jul-10 Aug-10 Sep-10

PM

2.5

(u

g/m

3)

Obs 4-km

Forecast vs. Observed PM2.5

0

5

10

15

20

25

30

35

40

45

May-07 Jun-07 Jul-07 Aug-07 Sep-07

O3 (p

pb

)

Obs 4-km

0

5

10

15

20

25

30

35

40

45

May-08 Jun-08 Jul-08 Aug-08 Sep-08

O3

(pp

b)

Obs 4-km

0

5

10

15

20

25

30

35

40

45

May-09 Jun-09 Jul-09 Aug-09 Sep-09

PM

2.5

(u

g/m

3)

Obs 4-km

2007

2008 2009

2010

MNB -37%

MNE 44%

MNB -38%

MNE 42%

MNB 8%

MNE 25%

MNB 4%

MNE 21%

0

5

10

15

20

25

30

35

40

45

May-11 Jun-11 Jul-11 Aug-11 Sep-11

PM

2.5

(u

g/m

3)

Obs 4-km

2011MNB -2%

MNE 25%

2006

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

40.0

45.0

May-01 Jun-01 Jul-01 Aug-01 Sep-01

PM

2.5 (m g

/m3)

Obs. 4-km

MNB -38%

MNE 43%

Page 23: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2009 PM2.5 Performance: 4-km vs. GA EPD’s

Our 4-km Forecast EPD Ensemble Forecast

MNB 8%

MNE 25%

MNB 11%

MNE 24%

0

35

70

0 35 70

Obs.

4-km

0 0

129

3

0

35

70

0 35 70

Obs.E

PD

0 0

129

3

Page 24: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2010 PM2.5 Performance: 4-km vs. GA EPD’s

Our 4-km Forecast EPD Ensemble Forecast

MNB 4%

MNE 21%

MNB 14%

MNE 30%

0

35

70

0 35 70

Obs.

4-km

0 0

138

0

0

35

70

0 35 70

Obs.E

PD

0 0

138

0

Page 25: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

2011 PM2.5 Performance: 4-km vs. GA EPD’s

Our 4-km Forecast EPD Ensemble Forecast

MNB -2%

MNE 25%MNB 7%

MNE 24%

0

35

70

0 35 70

Obs.

4-km

0 0

141

5

0

35

70

0 35 70

Obs.

EP

D

1 2

141

3

Page 26: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Winter

Page 27: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Forecasted vs. Observed PM2.5

0

5

10

15

20

25

30

35

40

45

Oct-07 Nov-07 Dec-07 Jan-08 Feb-08 Mar-08

O3

(pp

b)

Obs 4-km

0

5

10

15

20

25

30

35

40

45

Oct-08 Nov-08 Dec-08 Jan-09 Feb-09 Mar-09

O3

(pp

b)

Obs 4-km

2007

2009

2008

0

5

10

15

20

25

30

35

40

45

Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10

PM

2.5

(ug

/m3)

Obs 4-km

2010

0

5

10

15

20

25

30

35

40

45

Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11 Apr-11

PM

2.5

(ug

/m3)

Obs 4-km

Page 28: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

A New SOA Module (Baek, J., Georgia Tech, 2009)

•SOA partitioned from anthropogenic VOCs’ oxidations (8 SVOCs)•From monoterpenes (2 SVOCs)•From isoprene (2 SVOCs added)•From sesquiterpenes (1 SVOC added, gas phase oxidation reactions added for α-caryphyllene, β-humulene, and other sesquiterpenes) •Multigenerational oxidation of all semi-volatile organic carbons (SVOCs) added

Included processes: SOA species in CMAQ:

•AORGAJ and AORGAI

•AORGBJ and AORGBI•AORGBISJ and AORGBISI •AORGBSQJ and AORGBSQI

•AORGAGJ and AORGAGI

HSVOC LSVOC AerosolMultigenerational Oxidation : +OH,+O3 +OH,+O3

Page 29: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Forecast vs. Observed OC at South DeKalb

Ozone Season May-September

0

4

8

12

16

0 4 8 12 16

Observed (ug m-3)

Fo

reca

st (

ug

m-3

)

2006 2007 2008 2009 2010

0

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

5/1/2010 5/21/2010 6/10/2010 6/30/2010 7/20/2010 8/9/2010 8/29/2010 9/18/2010

Date

Org

anic

Car

bo

n P

M2.

5

forecast obs

0

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

5/1/2009 5/21/2009 6/10/2009 6/30/2009 7/20/2009 8/9/2009 8/29/2009 9/18/2009

Date

Org

anic

Car

bo

n P

M2.

5

forecast obs

2009

2010

Page 30: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Source Contribution Forecasting in Pilot Operation

Source contribution forecasts for ozone and PM2.5.

•Traffic, Power plants and others such as prescribed fires (needs additional efforts).

Extra information on top of ozone and PM2.5 concentration forecasts.

•Providing quantitative information on specific source contributions

•Alerting on specific source impacts

•To help public targeting actions to prevent pollution events

Using forward sensitivity tool DDM3D in CMAQ to calculate first order sensitivity coefficients

•Interpret such sensitivities of ozone and PM2.5 concentrations to total emissions from specific sources as their contributions

Challenges in operational forecasting

•Computationally expensive, but doable

•Instability in calculation

Page 31: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Preliminary Source Contribution Forecasts: Traffic and Power Plants

Impacts 2009

2010

Page 32: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Georgia Institute of Technology

Summary• 2006-2011 Temperature and humidity

performance in May-September are good.– Daily high temperature bias is -0.39K and error is 1.55K– Daily average humidity bias is and error is -0.68g/kg and

1.19g/kg

• 2006-2011 Ozone forecasts are good.– Overall bias is +17% and error is 23%

• 2006-2011 PM2.5 forecasts are not very accurate. – May-September bias is -17% and error is 32%

• The new SOA module helped much better 2009-2011 PM2.5 performances in May-September– Bias is +8% and error is 25% for 2009– Bias is +4% and error is 21% for 2010– Bias is -2% and error is 25% for 2011

• Preliminary source contribution forecasting products.

Page 33: Operational Air Quality and Source Contribution Forecasting in Georgia Georgia Institute of Technology Yongtao Hu 1, M. Talat Odman 1, Michael E. Chang

Acknowledgements

We thank Georgia EPD for funding the Hi-Res forecasts, Our former group member Dr. Jaemeen Baek for the new SOA module, and

Dr. Carlos Cardelino of Georgia Tech for team forecasts.