Cloud ANUGA¶

Professional ANUGA flood simulations with managed data, cloud compute, and published results. No Python environment, no desktop install.

What is Cloud ANUGA?¶

Hydrata hosts the ANUGA open-source 2D flood solver on cloud infrastructure. You upload terrain data, configure scenarios, and Hydrata handles:

Mesh generation — automatic triangulation from your DEM and region definitions
Compute provisioning — cloud compute allocated on demand
Execution — ANUGA runs on optimized compute instances
Results publishing — flood outputs published as OGC WMS/WFS layers

How It Works¶

Your DEM + scenario config
        ↓
    Hydrata API / MCP / Browser
        ↓
    Cloud compute (optimized instances)
        ↓
    ANUGA solver (unmodified)
        ↓
    Flood depth, velocity, extent → WMS layers

Access Methods¶

Method	Best for	Documentation
Browser	Interactive setup, visual results	Getting Started
MCP Server	AI-assisted modeling workflows	MCP Server
REST API	Programmatic access, automation	API Reference
Python (local)	Running locally with `run_anuga`	Standalone Usage

Solver Integrity¶

Hydrata runs unmodified ANUGA. We do not fork or modify the solver. Your results are identical to running ANUGA locally with the same inputs.

Solver: anuga_core (GPL, Geoscience Australia + ANU)
Runner: run_anuga (MIT, GitHub)
Model files: portable scenario.json format — export and run anywhere

Validated¶

ANUGA has been validated against 30+ benchmark problems. See Validation for details, including the Merewether benchmark which completes in under 2 minutes on Hydrata cloud.

Get Started¶

Sign up free — no credit card required
Create your first project — upload a DEM and run a simulation
Or connect your AI assistant — run flood models from Claude Code, Copilot, or Cursor