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

Schleiss, Marc; Mackenzie, Rob; Sourzac, Mahaut; Castro, Andre (2024): TU Delft weather station network - Davis weather station data at CITG. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7.v1

Dataset

• Atmospheric Sciences
• Atmosphere and Weather
• Earth Sciences
• Environment

campus, CITG, Davis, humidity, precipitation, pressure, rainfall, Ruisdael, temperature, TU Delft, weather, wind

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ongoing since 2023-08

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Marc Schleiss , Rob Mackenzie , Mahaut Sourzac , Andre Castro

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. 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.

Notes: Data collection started on November 2022. However, the data before August 2023 were not of high enough quality to be published. Please reach out to the authors if you wish to get access to the data collected between November 2022 and July 2023.

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

4TU.ResearchData

NetCDF

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

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