DOI: 10.5281/zenodo.18349079
title: TelcoRain output data for TelcoSense platform

description: TelcoRain rainfall maps – monthly historic outputs

This repository contains gridded rainfall products generated using the TelcoRain processing pipeline, which estimates surface rainfall from attenuation measurements of commercial microwave links (CMLs). The dataset is intended for spatial and temporal analysis of precipitation and for comparison with radar-based or gauge-based rainfall products. It contains output .png images (including overall rain strength for each whole frame) for CML-derived rain estimation from all over Czechia in 2025. The CLI application that computes the images is available here: https://github.com/TelcoSense/telcorain and the TelcoSense platform that visualizes the ouputs is available here: htttps://telcosense.cz/rain. In the .zip files, there are images from 2025-01-01 to 2025-12-31 with YYYY-MM-DD_RI.png format, where RI is median rain instensity (mm/h) for a given frame.

 

Dataset contents

The repository provides monthly historic outputs, processed independently for each calendar month. For every month, the following products are included:

-- outputs_web/ -- Time-resolved rainfall maps representing instantaneous or short-interval rainfall intensity, suitable for visualization and web-based mapping.

-- outputs_sum/ -- Hourly accumulated rainfall maps derived by temporal aggregation of the instantaneous fields.

All raster outputs are stored as PNG images on a regular spatial grid and are cropped to the target study area.

 

Spatial characteristics

-- Data source: Commercial microwave links (CMLs) operated in the Czech Republic

-- Spatial interpolation: Inverse Distance Weighting (IDW)

-- Grid: Regular Cartesian grid in projected coordinates

-- Cropping: Applied using a predefined geographic boundary (GeoJSON mask)

The rainfall fields represent area-based rainfall estimates derived from link-center measurements, not point observations.

 

Processing configuration

 

Wet–dry classification

Method: Rolling standard deviation–based detection

CNN / MLP: Disabled

Rolling window

Duration: 1 hour

Samples: 10 values

Wet/dry threshold: 0.8

Baseline estimation: Last 5 dry samples

Dry periods handling:

Dry values are kept as zero rainfall (dry_as_nan = False)

CML filtering

Minimum link length: 0.5 km

Link exclusion list: Disabled

All valid links longer than the minimum threshold are used in the interpolation.

Rainfall interpolation

Interpolation method: Inverse Distance Weighting (IDW)

Power parameter: 2

Maximum number of neighbors: 12

Maximum influence distance: 20 km

These parameters control the spatial smoothness of the resulting rainfall fields and limit the influence of distant links.

Temporal aggregation

Hourly accumulation: Enabled

Hourly rainfall sums are computed from the underlying instantaneous rainfall estimates.

Rendering and masking

Spatial cropping: Enabled

All output rasters are masked to the target geographic region before export.

Temporal coverage

Mode: Historic processing

Processing strategy:Each month is processed independently to ensure consistent aggregation windows and manageable data volume.

Time resolution

Instantaneous maps: native TelcoRain output resolution

Accumulated maps: hourly totals

 

Intended use

This dataset is suitable for:

-- Comparison with radar rainfall products (e.g. weather radar composites)

-- Hydrological and climatological analyses

-- Evaluation of CML-based rainfall estimation methods

-- Visualization and web-mapping applications

The data represent model-based estimates derived from telecommunication infrastructure and should be interpreted accordingly.