Fill gaps in groundwater level records.

Transducer failures and download visits that came too late leave holes in piezometer records — right where trend assessments and licensing reports need continuity.

How it works

Groundwater levels move slowly and respond to drivers you often also measure: barometric pressure, rainfall, a neighbouring well. Gaplad learns those relationships from your record, fills the holes, and shows the measured reconstruction error per gap length before you export anything.

• Quality scan first — error codes, spikes, frozen sensors and re-installed sensors are found before anything is modelled.
• Validated before filled — synthetic gaps are carved from your observed groundwater level record, filled blind, and scored against held-out truth. The winning method per gap length fills the real gaps.
• Honest by construction — short gaps use interpolation because it wins there; unfillable gaps stay unfilled with the reason stated; every filled value is flagged, with uncertainty bands from measured residuals.

Your data never leaves your browser

Sensor re-installations are detected automatically — a re-zeroed transducer splits the record into epochs, and the model never trains across the jump. The model trains in a background thread on your machine — there is no upload, no account, and nothing to get security clearance for.

Free tier runs the full pipeline on up to 20,000 time steps (about two years of hourly data) with a watermark line on exports. A one-time licence lifts the size limit and cleans the exports. Exported CSVs flag every filled value; the trust report is a single HTML file you can attach to a deliverable.