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

doi:10.4121/aea12d39-4c29-4288-826a-4e062f0dd7b7.v1
The doi 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/aea12d39-4c29-4288-826a-4e062f0dd7b7
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
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.png logo CC BY 4.0

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)