air quality forecast feedback: los angeles air basin · 2016. 9. 15. · sang-mi lee, ph.d and...
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![Page 1: Air Quality Forecast Feedback: Los Angeles Air Basin · 2016. 9. 15. · Sang-Mi Lee, Ph.D and Scott Epstein, Ph.D . South Coast Air Quality Management District . 21865 Copley Dr,](https://reader036.vdocument.in/reader036/viewer/2022081411/60b2a3ee7f5544015831f1bd/html5/thumbnails/1.jpg)
South Coast Air Quality Management District
Air Quality Forecast Feedback: Los Angeles Air Basin
NOAA Forecast Working Group Meeting September 15-16, 2016
Sang-Mi Lee, Ph.D and Scott Epstein, Ph.D
South Coast Air Quality Management District
21865 Copley Dr, Diamond Bar, CA 92886
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South Coast Air Quality Management District
Overview
• 12 UTC cycle Forecast Products • Retrieved for Los Angeles Air Basin • 2nd day forecast variables were evaluated:
– Daily Max 8-hour Ozone – Average 24-hour PM2.5 – Meteorological variables (Wind Speed, Temperature and Humidity)
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South Coast Air Quality Management District
Performance Evaluation Zone
3
Los Angeles Downtown
Pacific Ocean
Redlands
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South Coast Air Quality Management District
Daily Max 8-hour Ozone
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South Coast Air Quality Management District
Average 24-hour PM2.5
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PM2.5 measurements were made with automated Beta Attenuation Method samplers
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South Coast Air Quality Management District
Daily Max 8-hour Ozone at Crestline
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South Coast Air Quality Management District
Daily Max 8-hour Ozone at Glendora
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South Coast Air Quality Management District
Month to Month Variation
8
Daily Max 8-hour Ozone at Glendora: June & July 2016
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South Coast Air Quality Management District
Performance Statistics by Month
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-40
-20
0
20
40
60
80
100
Daily
-Max
Mea
n Pr
ed.
Unp
aire
d [p
pb]
Daily
-Max
Mea
n O
bs.
[ppb
]Da
ily-M
ax B
ias E
rr.
Unp
aire
d [p
pb]
Daily
-Max
Gro
ss E
rr.
Unp
aire
d [p
pb]
Nor
m D
aily
-Max
Bia
sEr
r. U
npai
red
[%]
Nor
m D
aily
-Max
Gro
ssEr
r. U
npai
red
[%]
Peak
Pre
dict
ion
Accu
racy
Unp
aire
d[p
pb]
UrbanReceptor
UrbanReceptor
May Jun Jul
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South Coast Air Quality Management District
Geographical Variation
10
-80
-60
-40
-20
0
20
40
60
80
100Da
ily-M
ax M
ean
Pred
.U
npai
red
[ppb
]
Daily
-Max
Mea
n O
bs.
[ppb
]
Daily
-Max
Bia
s Err
.U
npai
red
[ppb
]
Daily
-Max
Gro
ss E
rr.
Unp
aire
d [p
pb]
Nor
m D
aily
-Max
Bia
s Err
.U
npai
red
[%]
Nor
m D
aily
-Max
Gro
ss E
rr.
Unp
aire
d [%
]
Peak
Pre
dict
ion
Accu
racy
Unp
aire
d [p
pb]
Daily Max 8-hour O3
Coastal
UrbanSource
UrbanReceptor
Foothills
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South Coast Air Quality Management District
METEOROLOGICAL FACTOR
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South Coast Air Quality Management District
Wind Speed Prediction Performance: Monthly
12
-60
-40
-20
0
20
40
60
80
May Jun Jul
[%]
Wind Speed Normalized Bias and Gross Error in "Urban Receptor"
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South Coast Air Quality Management District
Wind Speed Prediction : Geographical Variation
13
-80
-60
-40
-20
0
20
40
60
80
UrbanReceptor Foothills_UrbSrc Coastal
(%)
Wind Speed
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South Coast Air Quality Management District
Anaheim and Crestline
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Wind Over Prediction Ozone under Prediction
Wind under
Prediction Ozone Over
Prediction
Wind Over Prediction Ozone under Prediction
Wind under
Prediction Ozone Over
Prediction
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South Coast Air Quality Management District
NOAA VS. SOUTH COAST AQMD Spatial Grid resolution WRF Forecast vs. Hindcast Chemical mechanism > SCAQMD uses SAPRC07
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South Coast Air Quality Management District
NOAA vs. SCAQMD Predictions
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NOAA
SCAQMD
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South Coast Air Quality Management District
NOAA vs. SCAQMD Predictions
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NOAA
SCAQMD
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South Coast Air Quality Management District
NOAA vs. SCAQMD at Crestline site
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South Coast Air Quality Management District
Summary and Conclusions
• NOAA forecast still tends to under-predict high ozone episodes in the Basin especially urban receptor areas where the peak concentrations are recorded.
• The bias grows bigger in June and July. However, meteorological prediction does not show the same trend.
• The errors in ozone prediction do not correlate with wind prediction bias directly. (i.e. wind under prediction appeared in ozone under prediction)
• SCAQMD’s modeling product which has higher spatial resolution, improved WRF predictions, and SAPRC-07 chemical mechanism shows reasonably good performance to capture high ozone episodes and meteorology vs. chemistry correlation.
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