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TERN/f59ae00d-2017-48c1-911a-8400249f1088

150.98131520945,-33.808747105547

151.2708003517,-33.59953717318 151.2708003517,-34.017957037915 150.69183006721,-34.017957037915 150.69183006721,-33.59953717318 151.2708003517,-33.59953717318

22077
METADATA

Schools Weather and Air Quality (SWAQ) – Quality Controlled Urban Dataset – Sydney (NSW)

Description

Schools Weather and Air Quality (SWAQ) is a citizen science project funded by the Department of Industry, Innovation and Science as part of its Inspiring Australia - Citizen Engagement Program. SWAQ is equipping public schools across Sydney with research-grade meteorology and air quality sensors, enabling students to collect and analyse research quality data through curriculum-aligned classroom activities. The network includes twelve automatic weather stations and seven automatic air quality stations, stretched from -33.5995° to -34.0421° latitude and from 150.6913° to 151.2708° longitude. The average spacing is 10.2 km and the average installation height is 2.5 m above ground level. Optimum site allocation was determined by undertaking a multi-criteria weighted overlay analysis to ensure data representativeness and quality. Six meteorological parameters (dry-bulb temperature, relative humidity, barometric pressure, rain, wind speed, and wind direction) and six air pollutants (SO2, NO2, CO, O3, PM2.5, and PM10) are recorded. Observations and metadata are available from September 2019 for WXT536 + AQT420 stations and from October 2019 for WXT536 stations (refer to Table 1 of the Dataset Guide), thus encompassing the Black Summer bushfire and the COVID-19 lockdown period. Data routinely undergo quality control, quality assurance and publication.

Credit
Department of Industry, Innovation and Science. Inspiring Australia - Citizen Engagement Program

Purpose
SWAQ data provides urban canopy layer observations of the intra-urban heterogeneity and inter-parameter dependency of all major urban climate and air quality variables, valuable across diverse urban disciplines. SWAQ stations are located where there are gaps in existing government networks, and focus on Sydney’s western suburbs, where the highest urbanization rate is taking place, to better inform future urban planning. Beyond research purposes, SWAQ is a citizen-centered network, conceived to promote valuable STEM (science, technology, engineering, mathematics) skills among citizens and students.

Lineage

All SWAQ sensors are installed: • in homogenous urban regions, without sections of anomalous variation in the regional urban makeup and aspect-ratio, and without large, concentrated heat/pollution sources or sinks; • in areas falling into the WMO Class 4 with no electromagnetic sources that could have distorted the transmission; • at a constant height of 2 - 3.5 m above ground level. Quality control includes continuity tests, fixed range tests (on both physical and instrumental limits), dynamic range and step tests (both performed on a monthly basis), internal consistency tests (on known atmospheric relations) and persistence tests. Data failing any of the above tests are flagged as described in the Supplemental Information. Two quality-controlled datasets are available: “YYYY-MM-DD_Raw.csv” where flags supplement but do not alter the original data and “YYYY-MM-DD_Cleaned.csv” that contains a ready-to-use cleaned dataset, as recommended by the SWAQ team.

Temporal coverage

From 2019-09-01

Dates

  • Date modified

    25/09/2021

Citation information

How to cite this collection:

Hart, M. , Maharaj, A. , Di Virgilio, G. , Ulpiani, G. (2021): Schools Weather and Air Quality (SWAQ) – Quality Controlled Urban Dataset – Sydney (NSW). Version 1.0.0. Terrestrial Ecosystem Research Network (TERN). Dataset. https://doi.org/10.5281/zenodo.5016296

Access data

This data can be accessed from the following websites

Access metadata

Source Metadata URL

Rights and Licensing

Creative Commons Attribution 4.0 International Licence

http://creativecommons.org/licenses/by/4.0

  • Spatial coverage Hide

  • Additional information Show

    Researchers

    Research Groups

    Distributed by

    Methods

    Quality Assurance
    Annual maintenance log
    Quality Control
    continuity tests, fixed range tests (on both physical and instrumental limits), dynamic range and step tests (both performed on a monthly basis), internal consistency tests (on known atmospheric relations) and persistence tests.

    Data Quality

    • Sensors and gateways are calibrated and tested by Vaisala in controlled conditions
      Sensors and gateways come with independent test reports reporting the successful outcome of the calibration and testing

    Publications

  • Keywords Show

    Parameters

    • air temperature (Degree Celsius)
    • relative humidity (Percent Relative Humidity)
    • air pressure (Hectopascal)
    • rainfall rate (Millimetre Per Hour)
    • wind from direction (Degree)
    • wind speed (Metre per Second)
    • mass concentration of sulfur dioxide in air (Parts per million)
    • mass concentration of nitrogen dioxide in air (Parts per million)
    • mass concentration of carbon monoxide in air (Parts per million)
    • mass concentration of ozone in air (Parts per million)
    • mass fraction of pm10 aerosol in air (Microgram Per Cubic Metre)
    • mass fraction of pm2p5 aerosol in air (Microgram Per Cubic Metre)

    Temporal Resolution

    • 1 minute - < 1 hour

    Taxonomic Group

    • urban pollution
    • ourdoor air quality

    GCMD Science

    • AIR QUALITY
    • AIR TEMPERATURE
    • PARTICULATE MATTER
    • CARBON MONOXIDE
    • NITROGEN OXIDES
    • TROPOSPHERIC OZONE
    • SULFUR DIOXIDE
    • RELATIVE HUMIDITY
    • RAIN
    • WILDFIRES
    • URBAN AREAS
    • LOCAL WINDS

    ANZSRC - FOR

    • ATMOSPHERIC SCIENCES
    • Environmental Chemistry (incl. Atmospheric Chemistry)
    • Climate Change Processes
    • Meteorology
    • URBAN AND REGIONAL PLANNING
    • OTHER BUILT ENVIRONMENT AND DESIGN
    • Climatology (excl. Climate Change Processes)

    User Defined

    • climatologyMeteorologyAtmosphere
    • environment
    • urban climate
    • air quality
    • pollution
    • urban canopy monitoring
    • bushfire
    • COVID lockdown
    • urban heat island
    • urban heat
    • citizen science
    • intra-urban heterogeneity
    More...
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