scholarly journals The Australian Air Quality Forecasting System. Part III: Case Study of a Melbourne 4-Day Photochemical Smog Event

2004 ◽  
Vol 43 (5) ◽  
pp. 680-695 ◽  
Author(s):  
K. J. Tory ◽  
M. E. Cope ◽  
G. D. Hess ◽  
S. Lee ◽  
K. Puri ◽  
...  

Abstract A 4-day photochemical smog event in the Melbourne, Victoria, Australia, region (6–9 March 2001) is examined to assess the performance of the Australian Air Quality Forecasting System (AAQFS). Although peak ozone concentrations measured during this period did not exceed the 1-h national air quality standard of 100 ppb, elevated maximum ozone concentrations in the range of 50–80 ppb were recorded at a number of monitoring stations on all four days. These maximum values were in general very well forecast by the AAQFS. On all but the third day the system predicted the advection of ozone precursors over Port Phillip (the adjacent bay) during the morning, where, later in the day, relatively high ozone concentrations developed. The ozone was advected back inland by bay and sea breezes. On the third day, a southerly component to the background wind direction prevented the precursor drainage over the bay, and the characteristic ozone cycle was disrupted. The success of the system's ability to predict peak ozone at individual monitoring stations was largely dependent on the direction and penetration of the sea and bay breezes, which in turn were dependent on the delicate balance between these winds and the opposing synoptic flow.

2004 ◽  
Vol 43 (5) ◽  
pp. 663-679 ◽  
Author(s):  
G. D. Hess ◽  
K. J. Tory ◽  
M. E. Cope ◽  
S. Lee ◽  
K. Puri ◽  
...  

Abstract The performance of the Australian Air Quality Forecasting System (AAQFS) is examined by means of a case study of a 7-day photochemical smog event in the Sydney region. This was the worst smog event for the 2000/ 01 oxidant season, and, because of its prolonged nature, it provided the opportunity to demonstrate the ability of AAQFS to forecast situations involving recirculation of precursors and remnant ozone, fumigation, and complex meteorological dynamics. The forecasting system was able to successfully predict high values of ozone, although at times the peak concentrations for the inland stations were underestimated. The dynamics for the Sydney region require a sensitive balance between the synoptic and mesoscale flows. Often high concentrations of ozone were advected inland by the sea breeze. On two occasions the system forecast a synoptic flow that was too strong, which blocked the inland advancement of the sea breeze. The peak ozone forecasts were underpredicted at the inland stations on those occasions. An examination of possible factors causing forecast errors has indicated that the AAQFS is more sensitive to errors in the meteorological conditions, rather than in the emissions or chemical mechanism in the Sydney region.


2019 ◽  
Vol 4 ◽  
pp. 203-218
Author(s):  
I.N. Kusnetsova ◽  
◽  
I.U. Shalygina ◽  
M.I. Nahaev ◽  
U.V. Tkacheva ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 302
Author(s):  
Rajesh Kumar ◽  
Piyush Bhardwaj ◽  
Gabriele Pfister ◽  
Carl Drews ◽  
Shawn Honomichl ◽  
...  

This paper describes a quasi-operational regional air quality forecasting system for the contiguous United States (CONUS) developed at the National Center for Atmospheric Research (NCAR) to support air quality decision-making, field campaign planning, early identification of model errors and biases, and support the atmospheric science community in their research. This system aims to complement the operational air quality forecasts produced by the National Oceanic and Atmospheric Administration (NOAA), not to replace them. A publicly available information dissemination system has been established that displays various air quality products, including a near-real-time evaluation of the model forecasts. Here, we report the performance of our air quality forecasting system in simulating meteorology and fine particulate matter (PM2.5) for the first year after our system started, i.e., 1 June 2019 to 31 May 2020. Our system shows excellent skill in capturing hourly to daily variations in temperature, surface pressure, relative humidity, water vapor mixing ratios, and wind direction but shows relatively larger errors in wind speed. The model also captures the seasonal cycle of surface PM2.5 very well in different regions and for different types of sites (urban, suburban, and rural) in the CONUS with a mean bias smaller than 1 µg m−3. The skill of the air quality forecasts remains fairly stable between the first and second days of the forecasts. Our air quality forecast products are publicly available at a NCAR webpage. We invite the community to use our forecasting products for their research, as input for urban scale (<4 km), air quality forecasts, or the co-development of customized products, just to name a few applications.


2005 ◽  
Vol 116 (2) ◽  
pp. 363-384 ◽  
Author(s):  
M. E. Cope ◽  
G. D. Hess ◽  
S. Lee ◽  
K. J. Tory ◽  
M. Burgers ◽  
...  

2008 ◽  
Vol 58 (7) ◽  
pp. 858-864 ◽  
Author(s):  
Martin Cope ◽  
Dale Hess ◽  
Sunhee Lee ◽  
Kevin Tory ◽  
Manuela Burgers ◽  
...  

2016 ◽  
Vol 66 (9) ◽  
pp. 896-911 ◽  
Author(s):  
Lim-Seok Chang ◽  
Ara Cho ◽  
Hyunju Park ◽  
Kipyo Nam ◽  
Deokrae Kim ◽  
...  

2008 ◽  
Vol 23 (3) ◽  
pp. 344-355 ◽  
Author(s):  
S. Finardi ◽  
R. De Maria ◽  
A. D'Allura ◽  
C. Cascone ◽  
G. Calori ◽  
...  

2008 ◽  
Vol 16 (10) ◽  
pp. 1534-1540 ◽  
Author(s):  
R. San José ◽  
Juan L. Pérez ◽  
José L. Morant ◽  
Rosa M. González

2012 ◽  
Vol 24 (1) ◽  
pp. 102-111 ◽  
Author(s):  
Qijie Zhang ◽  
Benoit Laurent ◽  
Fanny Velay-Lasry ◽  
Richard Ngo ◽  
Claude Derognat ◽  
...  

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