TU Delft weather station network - Davis weather station data at Architecture

DOI:10.4121/16684833-c4da-439f-8855-3580ed6e0946.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/16684833-c4da-439f-8855-3580ed6e0946

Datacite citation style

Schleiss, Marc; Mackenzie, Rob; Sourzac, Mahaut; Castro, Andre; van Esch, Marjolein (2024): TU Delft weather station network - Davis weather station data at Architecture. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16684833-c4da-439f-8855-3580ed6e0946.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Geolocation

Julianalaan, 2628 CN Delft
lat (N): 52.005933
lon (E): 4.370056
view on openstreetmap

Time coverage

2023-2024

Licence

CC BY 4.0

Interoperability

Description: In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-BK" at the Faculty of Architecture of TU Delft. The station was installed on the 16th of April 2021, on a pole, at a height of 4 meters and permanently removed on January 26, 2024. Unfortunately, only the data since 2023-01 are of good enough quality to be published. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.


Format: Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset.


Relevance: Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.


Notes: Only the data since 2023-01 are provided. Please reach out to the authors for more information about the data in 2021-2022.

History

  • 2024-12-05 first online, published, posted

Publisher

4TU.ResearchData

Format

NetCDF

Funding

  • Ruisdael Observatory (grant code 184.034.015) [more info...] Dutch Research Council (NWO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing.

DATA

Files (14)