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/be252844-b672-471e-8d69-27269a862ec1

Overeem, Aart; Walraven, Bas; Leijnse, H. (Hidde); Uijlenhoet, Remko (2024): Four-year commercial microwave link dataset for the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/be252844-b672-471e-8d69-27269a862ec1.v1

Dataset

• Other Environmental Sciences
• Environmental Science and Management
• Atmosphere and Weather
• Environmental Sciences
• Environment

CML, microwave link, observations, opportunistic sensing, rain, rainfall measurement, remote sensing, weather

13 January 2011 - 15 March 2015

CC BY 4.0

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

by Aart Overeem , Bas Walraven , H. (Hidde) Leijnse , Remko Uijlenhoet

Dataset of commercial microwave link (CML) data for the Netherlands. This can be used to estimate path-average rainfall between telephone towers. It contains microwave frequency, end date & time of reading, minimum & maximum received power, path length, coordinates, link identifier, errored seconds, and severely errored seconds. The network consists of on average ~3070 sub-links over ~1818 unique link paths covering the Netherlands, having a temporal resolution of 15 min. The transmitted signal levels were not available and may be considered constant for each individual link. The dataset spans the period 13 January 2011 up to and including 15 March 2015, although data gaps exist. The dataset contains part of the network from one of the three mobile network operators in the Netherlands during this 4-year period. The current network is expected to be very different and have a lower density. The data have been provided by the mobile network operator (MNO) T-Mobile NL (since 5 September 2023 called Odido).

• 2024-06-24 first online, published, posted

4TU.ResearchData

gzipped csv files, zipped text file

• https://doi.org/10.1002/2016WR019412

Royal Netherlands Meteorological Institute (KNMI), R&D Observations and Data Technology
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management