A deterministic air quality forecasting system for Torino urban area, Italy

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

Air quality forecasting system based on chemical transport models

2019 ◽  
Vol 4 ◽  
pp. 203-218
Author(s):  
I.N. Kusnetsova ◽  
◽  
I.U. Shalygina ◽  
M.I. Nahaev ◽  
U.V. Tkacheva ◽  
...  
Keyword(s):  
Air Quality ◽  
Chemical Transport ◽  
Transport Models ◽  
Chemical Transport Models ◽  
Forecasting System ◽  
Air Quality Forecasting

scholarly journals Description and Evaluation of the Fine Particulate Matter Forecasts in the NCAR Regional Air Quality Forecasting System

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 302
Author(s):  
Rajesh Kumar ◽  
Piyush Bhardwaj ◽  
Gabriele Pfister ◽  
Carl Drews ◽  
Shawn Honomichl ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Information Dissemination ◽  
Fine Particulate Matter ◽  
Model Errors ◽  
Air Quality Forecast ◽  
Fine Particulate ◽  
Regional Air Quality ◽  
Forecasting System ◽  
Air Quality Forecasting

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.

scholarly journals Human-model hybrid Korean air quality forecasting system

2016 ◽  
Vol 66 (9) ◽  
pp. 896-911 ◽  
Author(s):  
Lim-Seok Chang ◽  
Ara Cho ◽  
Hyunju Park ◽  
Kipyo Nam ◽  
Deokrae Kim ◽  
...  
Keyword(s):  
Air Quality ◽  
Human Model ◽  
Forecasting System ◽  
Air Quality Forecasting

European operational air quality forecasting system by using MM5–CMAQ–EMIMO tool

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

An air quality forecasting system in Beijing - Application to the study of dust storm events in China in May 2008

2012 ◽  
Vol 24 (1) ◽  
pp. 102-111 ◽  
Author(s):  
Qijie Zhang ◽  
Benoit Laurent ◽  
Fanny Velay-Lasry ◽  
Richard Ngo ◽  
Claude Derognat ◽  
...  
Keyword(s):  
Air Quality ◽  
Dust Storm ◽  
Storm Events ◽  
Forecasting System ◽  
Air Quality Forecasting

scholarly journals The Australian Air Quality Forecasting System. Part I: Project Description and Early Outcomes

2004 ◽  
Vol 43 (5) ◽  
pp. 649-662 ◽  
Author(s):  
M. E. Cope ◽  
G. D. Hess ◽  
S. Lee ◽  
K. Tory ◽  
M. Azzi ◽  
...  
Keyword(s):  
Air Quality ◽  
System Performance ◽  
Equation System ◽  
Probability Of Detection ◽  
Coefficient Of Determination ◽  
Project Description ◽  
Sydney System ◽  
Forecasting System ◽  
Secondary Air ◽  
Air Quality Forecasting

Abstract The Australian Air Quality Forecasting System (AAQFS) is the culmination of a 3-yr project to develop a numerical primitive equation system for generating high-resolution (1–5 km) short-term (24–36 h) forecasts for the Australian coastal cities of Melbourne and Sydney. Forecasts are generated 2 times per day for a range of primary and secondary air pollutants, including ozone, nitrogen dioxide, carbon monoxide, sulfur dioxide, and particles that are less than 10 μm in diameter (PM10). A preliminary assessment of system performance has been undertaken using forecasts generated over a 3-month demonstration period. For the priority pollutant ozone it was found that AAQFS achieved a coefficient of determination of 0.65 and 0.57 for forecasts of peak daily 1-h concentration in Melbourne and Sydney, respectively. The probability of detection and false-alarm rate were 0.71 and 0.55, respectively, for a 60-ppb forecast threshold in Melbourne. A similar level of skill was achieved for Sydney. System performance is also promising for the primary gaseous pollutants. Further development is required before the system can be used to forecast PM10 confidently, with a systematic overprediction of 24-h PM10 concentration occurring during the winter months.

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 ◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Standard ◽  
Photochemical Smog ◽  
Sea Breezes ◽  
The Third ◽  
Ozone Concentrations ◽  
System Part ◽  
Forecasting System ◽  
Air Quality Forecasting ◽  
Monitoring Stations

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.

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