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

DOI:10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7.v2
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: 10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7

Datacite citation style

Schleiss, Marc; Mackenzie, Rob; Sourzac, Mahaut; Castro, Andre (2025): TU Delft weather station network - Davis weather station data at CITG. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-03-28 (latest)
Version 1 - 2024-12-05
Delft University of Technology logo

Geolocation

Stevinweg, 2628 CN Delft
lat (N): 51.998906
lon (E): 4.375167
view on openstreetmap

Time coverage

ongoing since 2023-08

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-CITG" at the Faculty of Civil Engineering and Geoscience of TU Delft. The station is placed on a pole at 5 meters height, on the western side of the main entrance of the CITG building. 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. If a monthly file is missing, no data are available for this month.


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: Data collection started on November 2022. This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.


Known issues:

  • The data before August 2023 were not of high enough quality to be published.

History

  • 2024-12-05 first online
  • 2025-03-28 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 (20)