Operational hydrology support that’s practical, defensible, and built to run.

I help water-resource teams improve forecast performance, streamline gridded-data workflows, and build modeling systems that hold up under real-world operations.

Forecast-model calibration & diagnostics
Reservoir & river operations support
Automated data pipelines (Python/GIS)

Typical outcomes

  • Reduced manual steps and fewer failure points in daily ops
  • More consistent basin-averaged forcing and validation datasets
  • Calibration + verification that’s documented and repeatable
  • Clear handoff: code, docs, and training for your team

Services

Pick a focused engagement or combine them into a phased project.

Forecast model support

Model configuration, calibration strategy, performance diagnostics, and verification workflows.

  • Parameter review + calibration plan
  • GOF metrics, event-based evaluation
  • Operational documentation + SOPs

Reservoir & operations modeling

Decision-support workflows for reservoir operations, inflow forecasting, and scenario evaluation.

  • Rule curves and what-if scenarios
  • Inflow forecasting workflows
  • Operational constraints captured clearly

Data pipelines & automation

Reliable, maintainable pipelines for gridded data, basin averages, and routine reporting.

  • MRMS/URMA/NBM-style ingestion
  • Shapefile/GeoPackage basin processing
  • Automated QA/QC + alerts
Want to add more pages later? Keep this structure and create services.html with expanded detail.

How I work

1

Quick discovery

Short call + a lightweight questionnaire so we scope exactly what “success” looks like.

2

Prototype fast

I deliver an early working version (scripts, dashboards, or workflow changes) for feedback.

3

Harden for ops

Version control, test data, logging, and documentation so it runs reliably in production.

4

Handoff cleanly

Training + clear SOPs. Your team can run it without needing me on speed dial.

Selected work

Replace these with specific examples as you’re ready (or keep them general).

Calibration and verification package

Repeatable workflows to evaluate forecast performance across seasons and events.

Basin-average forcing automation

Reliable extraction + QA/QC for gridded products using basin polygons.

Operations-ready model workflows

Operational documentation, runbooks, and failure-mode handling to reduce risk.

Contact

Send a note with what you’re trying to accomplish and your timeline. I’ll respond with next steps.

Email

you@yourdomain.com
Replace with your domain email when ready.

What to include

  • What system/workflow you’re using now
  • Where it breaks (and how often)
  • What “better” means (accuracy, time saved, reliability)