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 cloud GPUs
Results publishing: flood outputs published as OGC WMS/WFS layers

How It Works¶

Your DEM + scenario config
        ↓
    Hydrata API / MCP / Browser
        ↓
    Cloud GPU compute
        ↓
    ANUGA solver
        ↓
    Flood depth, velocity, extent → WMS layers

Access Methods¶

Method	Best for	Documentation
Browser	Interactive setup, visual results	Getting Started
MCP Server (preview)	AI-assisted workflows, not yet open to external accounts	MCP Server
REST API	Programmatic access, automation	API Reference
Python (local)	Running locally with `run_anuga`	Standalone Usage

Solver Integrity¶

Hydrata runs the same ANUGA solver through the same simulation pipeline. Your results are directly comparable 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. Signing up is free, and small runs are free every day up to a daily limit. A bigger run is quoted before it starts, so you see what it will cost and decide then.
Create your first project: upload a DEM and run a simulation

Working with an AI assistant? The MCP server page describes the tools it exposes. It is a preview and external accounts cannot connect to it yet.