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: 10.4121/7a692e36-c32f-4916-813b-c62d2566e8d8

Aart Overeem (2023): Commercial microwave link data for rainfall monitoring. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/7a692e36-c32f-4916-813b-c62d2566e8d8.v2

Dataset

x choose version: version 1 - 2019-11-25

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

Microwave link, Microwave links, Observations, Rain, Rainfall measurement, Remote sensing, Weather

21 days in the period 9 June up to and including 11 September 2011; all days from 30 May up to and including 1 September 2012

CC BY 4.0

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

by Aart Overeem

Dataset of commercial microwave link (CML) data, which can be used to estimate path-average rainfall between telephone towers. Contains microwave frequency, end date & time of reading, minimum & maximum received power, path length, coordinates, and link identifier. For a network of on average ~2500 links covering the Netherlands having a temporal resolution of 15 min. The dataset, which consists of two files, can be used with the open-source R package RAINLINK (https://github.com/overeem11/RAINLINK) to estimate path-averaged rainfall and to make rainfall maps. Data have been used in the mentioned papers under "link to publication", but these use either a subset of the dataset or also other data.

• 2019-11-25 first online

• 2023-05-12 published, posted

4TU.Centre for Research Data

media types: application/zip, text/plain

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

• https://doi.org/10.1002/2016WR019412
• https://doi.org/10.1002/hyp.10898
• https://doi.org/10.1073/pnas.1217961110
• https://doi.org/10.1080/02626667.2017.1329588
• https://doi.org/10.5194/amt-9-2425-2016
• https://doi.org/10.5194/hess-19-3571-2015
• https://github.com/overeem11/RAINLINK
• https://doi.org/10.5194/amt-15-485-2022
• https://doi.org/10.1029/2020GL089365

Hydrology and Quantitative Water Management Group, Wageningen University & Research
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute (KNMI)