TU Delft weather station network - Davis weather station data at Green Village

Datacite citation style

Schleiss, Marc; Mackenzie, Rob; Sourzac, Mahaut; Castro, Andre (2024): TU Delft weather station network - Davis weather station data at Green Village. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/aea12d39-4c29-4288-826a-4e062f0dd7b7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-03-25 (latest)
Version 1 - 2024-12-05
Delft University of Technology logo

Geolocation

Van Den Broekweg 4, 2628 CR Delft
lat (N): 51.99611
lon (E): 4.378741
view on openstreetmap

Time coverage

ongoing since 2023-01

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-GV" at the Green Village in Delft, at a height of 2 meters. The Green Village site is used by the Ruisdael Observatory to test new equipment, perform calibration and develop new hardware/software solutions. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns. 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. New data files will be added every 2-3 months.


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.

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 (24)