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CLASS-SA (Spatial Analyst) is a spatial modelling tool that can be used to generate climate zones, multi-resolution DEMs, wetness index, lateral multiple flow paths, accumulation and dispersion of water and solutes from hazard areas, estimation of soil depth, soil material distribution and soil moisture storage capacity in different parts of the landscape.


Eco Modeller is a tool for building, storing and running quantitative models of ecological responses to physical and biological factors, for use in comparing the merits of alternative natural resource management scenarios.


IHACRES (Identification of unit Hydrographs And Component flows from Rainfall, Evaporation and Streamflow data) is a catchment-scale, rainfall-streamflow, modelling methodology that characterises the dynamic relationship between rainfall and streamflow, using rainfall and temperature (or potential evaporation) data, and predicts streamflow.



More information on music v6 is available



NSFM (Non-parametric Seasonal Forecasting Model) forecasts continuous exceedance probabilities of streamflow (or any other hydroclimate variable).


RRL (Rainfall-Runoff Library) simulates catchment runoff by using daily rainfall and evapotranspiration data. The models may be applied to catchments from 10 km2 to 10,000 km2 on a daily time step.


SCL (Stochastic Climate Library) is a source of models for generating climate data, including rainfall, evaporation or temperature, at multiple timescales, across single or multiple sites.


Water Quality Analyser is for water managers, scientists and engineers who need to analyse time-series, monitor in-stream water quality, estimate pollutant loads, or set future water quality targets.


With a straight-forward user interface and a focus on visualising data inputs and outputs, Water Quality Analyser helps to identify water quality trends and simplifies the path to a summary assessment.


Can't decide?

Consult the Model Choice series to help you choose the right catchment model for your needs.

Model Choice

Link to the section on model choice
Volume 1 | Volume 2

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