Gauge-corrected radar rainfall estimations for Australian weather events. We combine raw BoM weather radar with rain gauges to give you the rainfall at the location, area, time, and resolution you need — for flood and inundation modelling, stormwater and design-storm analysis, catchment yield work, insurance and post-event reconstruction, or anywhere else a defensible rainfall input matters.
Rain gauges are accurate but sparse. Weather radar is spatially dense, but doesn't measure rain volume directly or precisely, and the relationship to the rain that reaches the ground is complex. We combine the two: take the radar's spatial detail, anchor it against the real readings from nearby rain gauges, and produce rainfall estimates for any point or catchment you care about.
The result is far better than relying on a single gauge that might be kilometres from the location you care about, and far more accurate than trying to estimate rainfall directly from radar reflectivity.
Every project produces a tailored bundle of outputs. You pick the ones that suit your workflow.
Per-minute, 5-minute, 15-minute, 30-minute, or hourly at any points you nominate. Drops straight into Excel, R, Python, or your custom tool of choice.
Upload a catchment or subcatchment GIS polygon and we return the area-averaged rainfall for each, weighted by the fraction of each radar cell that lies inside.
Static accumulated-rainfall grids and vector isohyet contour lines for the event. These give a quick visualisation of the event across your catchment and the underlying values live in the provided NetCDF grids which you can load in to QGIS, TUFLOW etc..
Per-timestep rainfall on a regular grid, ready to load into GIS or hydraulic modelling tools (QGIS, ArcGIS, TUFLOW etc.).
A ready-to-open QGIS project with the time series NetCDF and original radar imagery configured for immediate review and further analysis.
The same web view as our public sample: animated radar, accumulated map, per-point graphs, and one-click CSV / NetCDF / QGIS downloads. This is an unlisted URL so you can share it with others in your team and clients as appropraite.
We pull the raw radar data for the event, collect nearby observations (BoM AWS, Water Data Online, river-rain gauges, DPIRD), then use those gauges to optimise the conversion of radar reflectivity to rainfall via a series of steps designed to optimise the conversion and validate the output. The result is a gauge-corrected rainfall estimate fully covering your area of interest.
A two-day rainfall event over Canberra's inner north that put Sullivans Creek over its banks. The project gauges the event against all BoM and ACT Government rain gauges in range, returns time-series for the catchment, and produces accumulated maps plus per-interval grids ready for hydraulic modelling.
Anywhere within range of an Australian BoM weather radars. Tell us the location and we'll let you know what the radar picture looks like for that area.
Mostly hydrologists, civil and water-resources engineers, and consulting flood modellers - the people who need the best rainfall input possible for design, modelling, or asset decisions. Insurers and emergency-management groups also use it for post-event reconstruction.
It's still an estimate - measuring rainfall always is - but we provide the best estimate the data available can support. Every project is bias-corrected against available gauges, optimised end-to-end, and validated. Our data archives go back decades, so the same workflow handles last week's storm or one from 15 years ago.
The main things are the dates and location. From there we can suggest the radar, the appropriate output cadence, and the right boundary to estimate over. If you have specific points or GIS polygons, send them to help confirm the area. If you're not sure what you need, that's fine too - describe what you're trying to answer and we'll be in touch.
Our radar archive goes as far back as 1993 for the oldest stations (Sydney, Melbourne, Brisbane). Most regional radars have continuous coverage from the mid-2000s.
Output is typically generated at 1, 5, 10, 15, 30 or 60-minute intervals depending on your requirements while our primary analysis interval is typically 10, 15 or 30 minutes.
All BoM AWS rainfall, BoM Water Data Online rain gauges, river-rain network gauges from a range of state agencies, and DPIRD in Western Australia. If you have your own gauge data we're happy to ingest it.
That's fine. Send us a location and a rough window (a week, a month, a season) and we'll work backwards from the radar + observation record to identify the events worth running an estimation for. It's a common starting point for retrospective insurance and asset-damage work where the only thing the client remembers is "around when it was raining heavily in March".
Within two weeks of confirmation of all details, but typically shorter for events in the order of a few day/s and covering an area in the order of 10s or low 100s of square kilometers. Send the dates and area and we'll come back with a timeframe.
Send the event window and the location or catchment, and any other details you can.
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