TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

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Ezau, Igor, 2023, "TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway", https://doi.org/10.18710/QHUAZ2, DataverseNO, V1

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Description	The Turbulent-resolving urban modeling of air quality and thermal comfort (TURBAN) project aims to develop an integrated urban modeling system on basis of the large-eddy simulation code PALM. Urban simulations require a large number of datasets representing urban environment. This dataset is a collection of available observations for the model development and testing. The dataset has a value beyond the technical model development. It represent two observed periods of extreme deterioration of the urban air quality in Bergen, Norway. The observational dataset for studies of urban air quality hazard scenarios combines a selection of meteorological, air quality, and geospatial (urban features) data. The data are sampled for two distinct periods: • Summer – covers 2019-07-20 to 2019-07-27 when one of the strongest historical heatwaves with maximum air temperatures exceeding +30C affected Bergen. • Winter – covers 2021-02-04 to 2021-02-15 when one of the strongest historical coldwaves with temperatures below -10C and ice covering some the fjords (not observed since 1986) affected Bergen The dataset combines the observations and surface features within the central urban area – the Bergen valley and Byfjorden where (1) air quality observations are available and (2) the most of available data records are found. (2023-01-13)
Subject	Earth and Environmental Sciences
Keyword	meteorology, land use - land cover
Related Publication	no publications are related to the dataset
License/Data Use Agreement	CC0 1.0

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	00_Esau_2023_Observational_datasets_for_studies_of_urban_air_quality_hazard_scenarios.pdf Submission DATAVERSE/Adobe PDF - 1.9 MB Published Jan 26, 2023 5 Downloads MD5: 7c8f4d797ce2dfe983e8ee28f49e08fe	Preview "Submission DATAVERSE/00_Esau_2023_Observational_datasets_for_studies_of_urban_air_quality_hazard_scenarios.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	00_README.txt Submission DATAVERSE/Plain Text - 1.8 KB Published Jan 26, 2023 7 Downloads MD5: 26bc8f5ebaac28989c7086e653c572e5	Preview "Submission DATAVERSE/00_README.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	TURBAN_dataset.zip Submission DATAVERSE/Shapefile as ZIP Archive - 185.3 MB Published Jan 26, 2023 2 Downloads MD5: 13ed7ae6202dead5d2067bf5b92e6135	Preview "Submission DATAVERSE/TURBAN_dataset.zip" Access File File Access Public Download Options Shapefile as ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	air_quality.py Submission DATAVERSE/TURBAN_dataset/Python Source Code - 1.6 KB Published Jan 26, 2023 3 Downloads MD5: 02c98b4503315dc5cb45ea3e4bab29c3	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	air_quality_NetCDF.py Submission DATAVERSE/TURBAN_dataset/Python Source Code - 1.7 KB Published Jan 26, 2023 1 Download MD5: 75298a019e6971b137e4452ee5203941	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	BergenUrabnFeatures.py Submission DATAVERSE/TURBAN_dataset/Python Source Code - 290 B Published Jan 26, 2023 0 Downloads MD5: 30314763e0f19660f8251e537856491d	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	combined_dataset.py Submission DATAVERSE/TURBAN_dataset/Python Source Code - 1.4 KB Published Jan 26, 2023 0 Downloads MD5: 8576b151cf91e06049f344074ff25cda	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	details_NetatmoBergen.py Submission DATAVERSE/TURBAN_dataset/Python Source Code - 3.8 KB Published Jan 26, 2023 0 Downloads MD5: 8a80c95e661c2c3bf18a9821bf65f396	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	map_BergenData.py Submission DATAVERSE/TURBAN_dataset/Python Source Code - 2.4 KB Published Jan 26, 2023 0 Downloads MD5: d20e2b0a9ae29dcc48903f6ac4b5f67b	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	MTP-5HE_complete.nc Submission DATAVERSE/TURBAN_dataset/Network Common Data Form - 191.1 MB Published Jan 26, 2023 1 Download MD5: b22eaa17505e1fe4f1d40b97bb143060	Access File File Access Public Download Options Network Common Data Form Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18710/QHUAZ2
Publication Date	2023-01-26
Title	TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway
Subtitle	Background data for the TURBAN project
Alternative URL	https://project-turban.eu
Author	Ezau, Igor (UiT The Arctic University of Norway) - ORCID: 0000-0003-4122-6340
Point of Contact	Use email button above to contact. Ezau, Igor (UiT The Arctic University of Norway)
Description	The Turbulent-resolving urban modeling of air quality and thermal comfort (TURBAN) project aims to develop an integrated urban modeling system on basis of the large-eddy simulation code PALM. Urban simulations require a large number of datasets representing urban environment. This dataset is a collection of available observations for the model development and testing. The dataset has a value beyond the technical model development. It represent two observed periods of extreme deterioration of the urban air quality in Bergen, Norway. The observational dataset for studies of urban air quality hazard scenarios combines a selection of meteorological, air quality, and geospatial (urban features) data. The data are sampled for two distinct periods: • Summer – covers 2019-07-20 to 2019-07-27 when one of the strongest historical heatwaves with maximum air temperatures exceeding +30C affected Bergen. • Winter – covers 2021-02-04 to 2021-02-15 when one of the strongest historical coldwaves with temperatures below -10C and ice covering some the fjords (not observed since 1986) affected Bergen The dataset combines the observations and surface features within the central urban area – the Bergen valley and Byfjorden where (1) air quality observations are available and (2) the most of available data records are found. (2023-01-13)
Subject	Earth and Environmental Sciences
Keyword	meteorology land use - land cover
Related Publication	no publications are related to the dataset
Language	English
Producer	UiT The Arctic University of Norway (UiT) https://en.uit.no/ Nansen Environmental and Remote Sensing Centre (NERSC) https://www.nersc.no
Production Date	2022-12-01
Production Location	Bergen, Norway
Contributor	Data Collector : Ezau, Igor Data Collector : Miles, Victoria Data Manager : Wolf, Tobias
Funding Information	The Research Council of Norway: TO01000219
Distributor	UiT The Arctic University of Norway (UiT The Arctic University of Norway) https://dataverse.no/dataverse/uit
Depositor	Ezau (Esau), Igor
Deposit Date	2023-01-13
Time Period	Start Date: 2019-07-20 ; End Date: 2019-07-27 Start Date: 2021-02-05 ; End Date: 2021-02-15
Date of Collection	Start Date: 2022-01-01 ; End Date: 2022-12-31
Data Type	meteorological observations; satellite images; land surface features; urban features; air quality observations; digital elevation model; weather data
Software	python, Version: 3.10 matlab, Version: v2017 ARCGIS
Other Reference	Wolf, T., Pettersson, L. H., Esau, I. (2021). Dispersion of particulate matter (PM2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations. Atmospheric Chemistry and Physics,21(16), 12463–12477. https://doi.org/10.5194/acp-21-12463-2021; Wolf, T., Pettersson, L. H., Esau, I. (2020). A very high-resolution assessment and modelling of urban air quality. Atmospheric Chemistry and Physics,20(2), 625–647. https://doi.org/10.5194/acp-20-625-2020; Wolf, T., Esau, I., Reuder, J. (2014). Analysis of the vertical temperature structure in the Bergen valley, Norway, and its connection to pollution episodes. Journal of Geophysical Research, 119(18). https://doi.org/10.1002/2014JD022085
Data Source	see the description file Esau 2023 Observational datasets for studies of urban air quality hazard scenarios
Documentation and Access to Sources	see the description file Esau 2023 Observational datasets for studies of urban air quality hazard scenarios

Geospatial Metadata

Geographic Coverage	Norway, Bergen
Geographic Unit	municipality
Geographic Bounding Box	5.0 5.5 60.5 60.2

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