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groundwater-studio

Groundwater Studio: run USGS MODFLOW 6 on Databricks (Apps, Unity Catalog, serverless ensembles, PEST++). One-line install.

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What's in it

Data offered docs-verified
MODFLOW 6 simulation runs · MODFLOW-2005, NWT and USG runs · PEST++ GLM and IES calibration against observed heads · Monte Carlo ensembles on serverless Spark · 3D model view and scenario runs · synthetic sample district input tables (aquifer_cells, bores, bore_extractions_monthly, weather_monthly, bore_water_levels)
Formats docs-verified
zip (MODFLOW 6 simulation with mfsim.nam, or MODFLOW-2005/NWT/USG model with name file) · CSV (observed heads for calibration) · JSON (modflow-os.json georeference sidecar) · MCP server at <app-url>/mcp · REST API at <app-url>/api/v1
Access docs-verified
Requires a Databricks workspace with Unity Catalog, Databricks Apps, a serverless SQL warehouse, and on-behalf-of-user app authorization; installed via Databricks CLI. Licence and cost not stated in docs.

Useful for

Use cases llm-inferred
Calibrating a groundwater model to observed heads with PEST++ GLM or IES · Running Monte Carlo uncertainty ensembles on serverless Spark for abstraction scenarios · Running scenario sensitivity tests on a client MODFLOW 6 model with per-run audit records in Delta/MLflow
Audience llm-inferred
groundwater modellers · hydrogeologists · hydrologists · Databricks and data platform teams

Limitations

Constraints docs-verified
Bundled sample district is synthetic and not real data · Requires a Databricks workspace with Unity Catalog, Databricks Apps and a serverless SQL warehouse · Uploaded model zips up to 2 GB · Agent column only appears if a supported chat model is served in the workspace · Calibration CSV must use the specified columns (name, layer, row, col, time, head[, weight])
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
0
Last commit
01/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-16: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-16 (github-search)