Data

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

Terrestrial Ecosystem Research Network
Hart, Melissa ; Maharaj, Angela ; Di Virgilio, Giovanni ; Ulpiani, Giulia
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/f59ae00d-2017-48c1-911a-8400249f1088&rft.title=Schools Weather and Air Quality (SWAQ) – Quality Controlled Urban Dataset – Sydney (NSW)&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/f59ae00d-2017-48c1-911a-8400249f1088&rft.publisher=Terrestrial Ecosystem Research Network&rft.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.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.Data CreationQuality Assurance: Annual maintenance logQuality 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.Progress Code: onGoingMaintenance and Update Frequency: periodic&rft.creator=Hart, Melissa &rft.creator=Maharaj, Angela &rft.creator=Di Virgilio, Giovanni &rft.creator=Ulpiani, Giulia &rft.date=2021&rft.edition=1.0&rft.relation=https://doi.org/10.1016/j.atmosenv.2021.118450&rft.relation=https://www.swaq.org.au/&rft.relation=10.5281/zenodo.5016296&rft.coverage=northlimit=-33.59953717317997; southlimit=-34.01795703791464; westlimit=150.6918300672076; eastLimit=151.27080035170283; projection=EPSG:4326; uplimit=0; downlimit=0&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=TERN services are provided on an as-is and as available basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=environment&rft_subject=AIR QUALITY&rft_subject=AIR TEMPERATURE&rft_subject=EARTH SCIENCE&rft_subject=ATMOSPHERE&rft_subject=ATMOSPHERIC TEMPERATURE&rft_subject=SURFACE TEMPERATURE&rft_subject=PARTICULATE MATTER&rft_subject=CARBON MONOXIDE&rft_subject=NITROGEN OXIDES&rft_subject=TROPOSPHERIC OZONE&rft_subject=SULFUR DIOXIDE&rft_subject=ATMOSPHERIC CHEMISTRY&rft_subject=SULFUR COMPOUNDS&rft_subject=RELATIVE HUMIDITY&rft_subject=RAIN&rft_subject=PRECIPITATION&rft_subject=LIQUID PRECIPITATION&rft_subject=WILDFIRES&rft_subject=URBAN AREAS&rft_subject=HUMAN DIMENSIONS&rft_subject=HUMAN SETTLEMENTS&rft_subject=LOCAL WINDS&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=EARTH SCIENCES&rft_subject=Environmental Chemistry (incl. Atmospheric Chemistry)&rft_subject=CHEMICAL SCIENCES&rft_subject=OTHER CHEMICAL SCIENCES&rft_subject=Climate Change Processes&rft_subject=Meteorology&rft_subject=URBAN AND REGIONAL PLANNING&rft_subject=BUILT ENVIRONMENT AND DESIGN&rft_subject=OTHER BUILT ENVIRONMENT AND DESIGN&rft_subject=Climatology (excl. Climate Change Processes)&rft_subject=air temperature (degree Celsius)&rft_subject=degree Celsius&rft_subject=relative humidity (Percent Relative Humidity)&rft_subject=Percent Relative Humidity&rft_subject=air pressure (Hectopascal)&rft_subject=Hectopascal&rft_subject=rainfall rate (Millimeter per Hour)&rft_subject=Millimeter per Hour&rft_subject=wind from direction (Degree)&rft_subject=Degree&rft_subject=wind speed (Meter per Second)&rft_subject=Meter per Second&rft_subject=mass concentration of sulfur dioxide in air (Parts per million)&rft_subject=Parts per million&rft_subject=mass concentration of nitrogen dioxide in air (Parts per million)&rft_subject=mass concentration of carbon monoxide in air (Parts per million)&rft_subject=mass concentration of ozone in air (Parts per million)&rft_subject=mass fraction of pm10 aerosol in air (Microgram per Cubic Meter)&rft_subject=Microgram per Cubic Meter&rft_subject=mass fraction of pm2p5 aerosol in air (Microgram per Cubic Meter)&rft_subject=10 km - < 50 km or approximately .09 degree - < .5 degree&rft_subject=1 minute - < 1 hour&rft_subject=urban climate&rft_subject=air quality&rft_subject=pollution&rft_subject=urban canopy monitoring&rft_subject=bushfire&rft_subject=COVID lockdown&rft_subject=urban heat island&rft_subject=urban heat&rft_subject=citizen science&rft_subject=intra-urban heterogeneity&rft_subject=urban pollution&rft_subject=ourdoor air quality&rft.type=dataset&rft.language=English Access the data

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TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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Brief 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.

Notes

Supplemental Information
For more information on variable names, formats, quality control and flagging systems, see "Dataset Guide & Glossary.pdf"

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.

Data Creation
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.

Progress Code: onGoing
Maintenance and Update Frequency: periodic

Notes

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
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.
Data Quality Information

Data Quality Assessment Scope
local : dataset
Sensors and gateways are calibrated and tested by Vaisala in controlled conditions

Data Quality Assessment Result
local : Quality Result
Sensors and gateways come with independent test reports reporting the successful outcome of the calibration and testing

Created: 2021-05-31

Issued: 2021-07-02

Modified: 2024-05-03

Data time period: 2019-09-01

This dataset is part of a larger collection

151.2708,-33.59954 151.2708,-34.01796 150.69183,-34.01796 150.69183,-33.59954 151.2708,-33.59954

150.98131520945,-33.808747105547

Subjects
1 minute - < 1 hour | 10 km - < 50 km or approximately .09 degree - < .5 degree | AIR QUALITY | AIR TEMPERATURE | ATMOSPHERE | ATMOSPHERIC CHEMISTRY | Atmospheric Sciences | ATMOSPHERIC TEMPERATURE | Built Environment and Design | CARBON MONOXIDE | Chemical Sciences | COVID lockdown | Climate Change Processes | Climatology (Excl. Climate Change Processes) | Degree | EARTH SCIENCE | Earth Sciences | Environmental Chemistry (Incl. Atmospheric Chemistry) | HUMAN DIMENSIONS | HUMAN SETTLEMENTS | Hectopascal | LIQUID PRECIPITATION | LOCAL WINDS | Meteorology | Meter per Second | Microgram per Cubic Meter | Millimeter per Hour | NITROGEN OXIDES | Other Built Environment and Design | Other Chemical Sciences | PARTICULATE MATTER | PRECIPITATION | Parts per million | Percent Relative Humidity | RAIN | RELATIVE HUMIDITY | SULFUR COMPOUNDS | SULFUR DIOXIDE | SURFACE TEMPERATURE | TROPOSPHERIC OZONE | Urban and Regional Planning | URBAN AREAS | WILDFIRES | air pressure (Hectopascal) | air quality | air temperature (degree Celsius) | bushfire | citizen science | climatologyMeteorologyAtmosphere | degree Celsius | environment | intra-urban heterogeneity | mass concentration of carbon monoxide in air (Parts per million) | mass concentration of nitrogen dioxide in air (Parts per million) | mass concentration of ozone in air (Parts per million) | mass concentration of sulfur dioxide in air (Parts per million) | mass fraction of pm10 aerosol in air (Microgram per Cubic Meter) | mass fraction of pm2p5 aerosol in air (Microgram per Cubic Meter) | ourdoor air quality | pollution | rainfall rate (Millimeter per Hour) | relative humidity (Percent Relative Humidity) | urban canopy monitoring | urban climate | urban heat | urban heat island | urban pollution | wind from direction (Degree) | wind speed (Meter per Second) |

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