Hourly air pollution data for Graz, Austria

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Dataset information

Country of origin
Updated
2023.06.24 00:00
Created
2023.05.22
Available languages
English
Keywords
machine learning, air quality, pm10, no2, time series, o3, air pollution
Quality scoring

Dataset description

The dataset spans from January 1, 2014, to March 15, 2020, with measurements recorded on an hourly basis.   The environmental and pollutant data was provided by the Austrian government under the following license:  CC-BY-4.0: Land Steiermark - data.steiermark.gv.at Air quality by means of  NO2, NO, NOx, PM10 and O3 was measured at five sites in Graz, Austria (Süd (eng. South) - S, Nord (eng. North) - N, West (eng. West) - W, Don Bosco – D, Ost (eng. East) – O).  Temperature, precipitation, relative humidity, pressure, and wind speed are among the weather conditions considered. To represent wind direction, the wind speed was multiplied by the sine and cosine of the wind direction. Lags were generated using weather data, considering the last 12 data points. The mean of these 12 values was then calculated to represent an hourly metric. The ERA5-Land data is subject to the Copernicus licence from following source https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.e2161bac?tab=overview    it includes following variables : Snowfall - sf Surface latent heat flux - slhf Snowmelt - smlt Snow cover - snowc Windspeed - speed Surface latent heat flux sshf Soil temperature level 4 - stl4 Skin temperature - str Surface thermal radiation downwards - strd Total precipitation - tp Temperature of snow layer - tsn 10m u-component of wind - u10 10m v-component of wind - v10 Surface net radiation - rsn Snow depth - sd Snow depth water equivalent - sde 2m dewpoint temperature - d2m Forecast albedo - fal Temporal values are also incorporated into this dataset, values such as  holidays, weekdays, seasons, and months. The dataset includes Prophet values for all pollutants, which were determined by considering various metrics such as trend, seasonality (weekly, yearly, and daily), as well as yhat lower and upper bounds.
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