NZ Water Model - Hydrology

External people involved: 
Rogier Westerhoff - Linda Lilburne -

Bringing together leading scientific organisations and regional councils, this project aims to develop a sophisticated computer modelling framework that will enable users to accurately predict how much freshwater is available, where it has come from, and how quickly it moves through New Zealand catchments.

NZ Water Model - Hydrology (NZWaM-Hydro) is a partnership of NIWA (lead), GNS Science and Manaaki Whenua - Landcare Research, and the regional councils of Southland, Horizons and Gisborne. The project timeframe is 2016-2022.

Please note: This project was originally called the National Hydrology Project and has since been renamed New Zealand Water Model - Hydrology. 

It demonstrates some of the primary hydrological processes represented in the model

The key aim of the NZWaM-Hydro is to enable the prediction of hydrological flow ad transport processes from national to sub-catchment scale (relevant scales for The National Policy Statement for Freshwater Management).

Work in this project will enhance the ability of NZWaM-Hydro to predict how climate, land-use and other environmental changes will affect aquatic ecosystems, and water-resources available for use by businesses and communities. It will also improve the accuracy of the model's river-flow simulations that enable communities to develop sustainable use of the resource as well as to better prepare for potential floods and droughts.

The Challenge

The National Policy Statement for Freshwater Management (NPS-FM) requires regional council water managers to set limits on the use and quality of freshwater, and then allocate water takes based on those limits. In New Zealand, measurements of surface and groundwater flow and contaminants are relatively sparse. In such data sparse regions, limit-setting and water-allocation can be complex and/or require sophisticated computer models to accurately predict the movement of water and contaminants from their source, to waterways, lakes and estuaries. Such models also need to be able to simulate the effects of different land-use and climate scenarios on flow and predict into the near and far future. The models require:

- detailed maps of streams and aquifers,
- observed river flow data for model validation,
- information on soils and other catchment properties, and
- direct and indirect information on processes (for example, runoff and evapotranspiration).

This challenge is significant in New Zealand catchments, due to the interactions between land, vegetation, climate, surface water and groundwater.

A highly adaptable solution

NZWaM-Hydro will combine surface-water and groundwater models with a water-age model to provide hydrological tracers and water-source information. The project will also build a geospatial database to organise and harmonise data, and provide transferable, scalable and cost-effective applications. In addition the project will also provide:

  • Simulation of surface-water and groundwater flows at catchment scale (down to first-order catchments) in both gauged and ungauged catchments, to support water-resource management and hydrological investigation.
  • A 'hydro-geofabric' that will provide a consistent, national geospatial information framework to further develop capability in process understanding, and measurement across spatial and temporal scales.
  • Software such as HydroDeskNZ (a version of the modelling framework that can run on a desktop computer), allowing users to simulate surface and groundwater flow, on their own operating system.
  • Environmental flow forecasts under varying land-uses and climate conditions and across a range of timescales (from a few days to decades ahead).
  • Enhanced ability to assess hydrological model outputs using a state-of-the-art New Zealand 'Benchmarking Framework'.

The dashed lines in the diagram represent each of the four modules in NZWaM-Hydro which will be used to refine the other modules, and to refine data requirements. 

The components and timeframes for the delivery of NZWaM-Hydro

The opportunity

At a national scale there is no existing model that has the functionality that NZWaM-Hydro will possess. At catchment and sub-catchment scale, the aim is to be able to produce accurate time series data anywhere in space. NZWaM-Hydro will be able to be applied anywhere in New Zealand with just one click. NZWaM-Hydro     is a scalable, surface-groundwater modelling framework that uses water age as a tracer for routing water through river networks and aquifers. NZWaM-Hydro     is enabled by NIWA's high performance computer facility.

Multi-source data: data is acquired from Regional Councils & LAWA, Crown Research Institutes, Land Resource Inventory, remote-sensing, the NIWA Climate Database and via collaboration industry sectors and other sources.

Hydro-geofabric: a national geospatial database containing geo-referenced harmonised data-sets. The database will be used to generate catchment-scale hydrological parameters across the country (e.g., soil moisture, land-cover and catchment characteristics)

Surface water flow model: based on the updated national TopNet model – TopNet is a mechanistic rainfall-runoff model. TopNet is currently used in an uncalibrated state at a national scale (e.g. for flow corrections of trend analyses, water accounts), and with calibrated data for local scale studies (e.g. for environmental flow setting, driving the Cumulative Hydrological Effects Simulator, Hydroelectric power management, Freshwater Management Unit limit setting for flow and nutrients).

Groundwater flow model: based on GNS Science National Water Table model (NWT), which is driven by geology and climate conditions this will describe fluctuations in depth to groundwater nationwide and feeds into the TopNet model.

Water Age model: based on GNS Science & NIWA water age chemistry data, and the TopNet and NWT models.


For further information about this project contact:

Christian Zammit - I James Griffiths - l Rogier Westerhoff - l Linda Lilburne -

Page last updated: 
3 December 2018