Aart Overeem (2019): Commercial microwave link data for rainfall monitoring. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:323587ea-82b7-4cff-b123-c660424345e5

Dataset

x choose version: version 2 - 2023-05-12 (latest)

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

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.

Be aware that part of the CML dataset has an erroneous time stamp. It only concerns the data from the year 2012 in file "CMLs_20120530_20120901.dat". The data from "CMLs_20110609_20110911_21days.dat" from the year 2011 are not affected. The time stamp from all intervals from 00:15 through 08:00 UTC is wrong. The corresponding date should be one day later, i.e., 24 hours later. This implies that 33.3% of the ~3-month dataset from 2012 has the wrong time stamp.

This has been corrected in version 2 of the dataset.

• 2019-11-25 first online, 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)