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MIKE SHE Public Data Catalog

New Zealand

Version: 0.1 test template
Purpose: Country-specific public dataset catalog for building simple to advanced MIKE SHE models
Region: New Zealand (North Island, South Island and nearby islands)


Quick Start

Minimum Public Datasets for Recharge Modelling with MIKE SHE (New Zealand)

If your objective is to calculate distributed groundwater recharge (without simulating groundwater flow or rivers), only five dataset categories are required.

The datasets below cover the whole of New Zealand and provide an excellent starting point for building a physically based recharge model. Most are free under CC BY 4.0; access conditions for gridded climate data are noted below.

MIKE SHE Input Dataset Type Recommended Dataset Spatial Availability Why recommended
Topography (DEM) Gridded LINZ national elevation data – LiDAR 1 m DEM where available, NZ 8 m DEM elsewhere New Zealand National LiDAR now covers most of the country at 1 m, with the 8 m DEM as a seamless national fallback for defining slopes, drainage pathways and overland-flow gradients.
Land Cover Vector / gridded Land Cover Database (LCDB) New Zealand Standard national land-cover map with several epochs since 1996, suitable for assigning vegetation types, impervious areas and overland-flow parameters.
Soil Hydraulic Properties Vector S-map where available

Fundamental Soil Layers (FSL) for full coverage
S-map: most productive land
FSL: New Zealand
S-map provides soil layering, drainage class, saturated hydraulic conductivity and water retention for each soil sibling. FSL fills gaps in hill and high country at a coarser level.
Precipitation Gridded NIWA Virtual Climate Station Network (VCSN) for daily, long-term modelling

ERA5-Land as a fully free hourly alternative
New Zealand VCSN is the national standard daily climate grid (~5 km) interpolated from station data. Check NIWA access and licence conditions, especially for commercial use. ERA5-Land is freely available but coarse for New Zealand's steep rainfall gradients.
Time Series CliFlo (NIWA National Climate Database)

Regional council rainfall networks
Nationwide (station-dependent) Recommended whenever reliable local rain-gauge observations are available. Regional councils often operate denser networks than the national database.
Meteorological Forcing / Potential ET Gridded NIWA VCSN New Zealand Provides daily Penman and Priestley-Taylor PET together with temperature, vapour pressure, solar radiation and wind speed in one spatially consistent product.
Time Series CliFlo

Regional council climate stations
Nationwide (station-dependent) Appropriate when complete local meteorological observations or calculated PET time series are available. These data can be assigned directly to climate zones or used to calculate potential evapotranspiration within MIKE SHE.

Optional Improvements

Dataset Purpose
OpenTopography – New Zealand LiDAR Direct access to LiDAR point clouds and DEM tiles
Irrigated land area (MfE) Mapping of irrigated areas
MODIS MCD15A3H Dynamic Leaf Area Index (LAI)
Sentinel-2 Verification and updating of land-cover maps
MODIS MOD16 / SSEBop Validation of simulated actual evapotranspiration (OpenET does not cover New Zealand)
Regional council lysimeter data Direct validation of drainage / recharge (e.g. Canterbury)
SMAP Regional soil-moisture validation

  1. Download the LINZ LiDAR DEM (or the NZ 8 m DEM where LiDAR is missing).
  2. Delineate the model domain and prepare the terrain model.
  3. Download LCDB for the simulation period and assign MIKE SHE vegetation classes.
  4. Download S-map and FSL and derive soil hydraulic parameters.
  5. Choose your meteorological forcing:
  6. Option A (recommended): Use NIWA VCSN for a fully gridded daily model setup, supplemented by ERA5-Land where hourly forcing is needed.
  7. Option B: Import precipitation and meteorological observations from CliFlo or regional council stations directly into MIKE SHE.
  8. Let MIKE SHE calculate evapotranspiration internally using the selected vegetation and soil parameters.
  9. Check simulated drainage against lysimeter data where available.
  10. Export the distributed groundwater recharge for use in MODFLOW, FEFLOW, or other groundwater models.

1. Introduction for advanced data sources

1.1 Purpose

This document summarizes public datasets that can be used to construct a physically based MIKE SHE model for New Zealand.

The catalog is organized according to the typical MIKE SHE model-building workflow rather than only by dataset type. It covers datasets for:

  • terrain and overland flow
  • land cover and vegetation
  • meteorological forcing
  • potential and actual evapotranspiration
  • snow and glaciers
  • rivers, lakes, and wetlands
  • soil and unsaturated-zone parameterization
  • groundwater and hydrogeology
  • water takes, irrigation, and water management
  • calibration and validation

1.2 Intended Use

This catalog is intended for:

  • rapid screening models
  • regional water-balance models
  • groundwater recharge and nitrate leaching studies
  • surface-water / groundwater interaction studies, including braided rivers and spring-fed streams
  • irrigation and water-allocation assessments
  • flood and catchment studies
  • applied MIKE SHE model setup

1.3 General Notes for New Zealand

  • National datasets from LINZ and the Ministry for the Environment (MfE) are generally released under CC BY 4.0. Some Manaaki Whenua – Landcare Research and NIWA products (e.g. S-map, VCSN) have their own licence terms, which may restrict commercial use. Always check before use.
  • NIWA and GNS Science were merged into Earth Sciences New Zealand in 2025. Some portals and links may move as a result.
  • The national datum is NZGD2000, and models typically use NZTM2000 (EPSG:2193). The national vertical datum is NZVD2016; older data may refer to local vertical datums.
  • Most groundwater, streamflow, and water-take data are held by the regional councils and unitary authorities (see Section 22), not by national agencies.
  • Engagement with iwi and hapū is an integral part of freshwater projects, and mātauranga Māori can be an important source of catchment knowledge.

2. Hydrological Characteristics of New Zealand

2.1 Climate

New Zealand covers very strong climatic gradients over short distances:

  • temperate maritime climate with prevailing westerly airflow
  • extreme west–east rainfall gradient across the Southern Alps, from several metres per year on the West Coast to around 350 mm per year in Central Otago
  • subtropical climate in Northland
  • drought-prone eastern regions (e.g. Hawke's Bay, Canterbury, Marlborough)
  • ex-tropical cyclones and atmospheric rivers causing extreme floods (e.g. Cyclone Gabrielle, 2023)
  • seasonal snow and glaciers in the Southern Alps and central North Island volcanoes
  • climate variability linked to ENSO and the Southern Annular Mode

2.2 Topography

Major topographic settings include:

  • Southern Alps and steep mountain catchments
  • Canterbury Plains with braided rivers and large alluvial fans
  • Taupō Volcanic Zone and central North Island volcanic plateau
  • Waikato and Hauraki lowlands with extensive peat soils
  • intermontane basins of Otago and Marlborough
  • coastal plains (e.g. Heretaunga, Manawatū, Waimea)
  • steep, erodible hill country on the east coast of the North Island

2.3 Major Hydrological Challenges

Important New Zealand modelling challenges include:

  • nitrate leaching from intensive agriculture and long groundwater lag times
  • losing braided rivers that recharge major gravel aquifers
  • spring-fed lowland streams depending on groundwater
  • irrigation expansion and water allocation limits
  • flash floods, landslides, and sediment in steep catchments
  • peat subsidence and drainage in lowland areas
  • seawater intrusion in coastal aquifers
  • snowmelt and glacier contributions in alpine catchments
  • highly permeable volcanic soils and ignimbrites
  • nutrient loads to lakes (e.g. Lake Taupō, Rotorua lakes)

2.4 Major Aquifer Systems

Important aquifers include:

  • Canterbury Plains gravel aquifers (including the Christchurch–West Melton system)
  • Heretaunga Plains aquifer system (Hawke's Bay)
  • Wairau Aquifer (Marlborough)
  • Waimea Plains aquifers (Tasman)
  • Waiwhetū Artesian Aquifer (Hutt Valley, Wellington)
  • Taupō Volcanic Zone ignimbrite aquifers (e.g. Rotorua)
  • Auckland volcanic field basalt aquifers
  • Arthur Marble Aquifer and Te Waikoropupū Springs (Tasman, karst)
  • Ruataniwha Basin (Hawke's Bay)
  • Southland and Otago alluvial aquifers

3. Recommended Dataset Stack

Component Recommended Dataset Alternative Dataset Importance
DEM LINZ LiDAR 1 m DEM NZ 8 m DEM (LINZ), Copernicus GLO-30 ★★★★★
Land cover LCDB ESA WorldCover ★★★★★
Land use / irrigation MfE land use and irrigated land Regional council mapping ★★★★☆
LAI MODIS MCD15A3H Sentinel-2 derived LAI ★★★★☆
Precipitation NIWA VCSN CliFlo, regional councils, ERA5-Land ★★★★★
Climate forcing NIWA VCSN ERA5-Land ★★★★★
Potential ET NIWA VCSN CliFlo stations ★★★★★
Rivers River Environment Classification (REC2) LINZ Topo50 hydrography ★★★★★
Lakes / wetlands FENZ (DOC) LINZ Topo50, LCDB ★★★★☆
Soil S-map FSL / NZLRI ★★★★★
Hydrogeology GNS Science geological maps and aquifer data MfE aquifer boundaries ★★★★★
Groundwater heads Regional councils (Section 22) LAWA ★★★★★
Water takes Regional council consent and metering data MfE national summaries ★★★★☆
Streamflow calibration Regional councils / NIWA hydrometric network LAWA ★★★★★
Actual ET validation MODIS MOD16 SSEBop, eddy-covariance sites ★★★☆☆
Recharge validation Regional council lysimeters Groundwater age dating (GNS) ★★★★☆
Soil moisture validation CliFlo soil moisture sites SMAP ★★★☆☆

4. Terrain Model

4.1 Purpose in MIKE SHE

Terrain data are required for:

  • model surface elevation
  • overland-flow gradients
  • surface-storage controls
  • catchment delineation
  • river network verification
  • floodplain and wetland connectivity

4.2 Dataset Comparison

Dataset Coverage Resolution Format MIKE SHE Suitability Advantages Limitations Recommendation
LINZ LiDAR DEM Most of New Zealand 1 m GeoTIFF Primary DEM High accuracy, bare-earth, national programme Survey dates vary by region; large volumes ★★★★★
NZ 8 m DEM (LINZ) New Zealand 8 m GeoTIFF Regional models and gap filling Seamless national coverage Derived from contours; less accurate on flat land ★★★★☆
OpenTopography NZ LiDAR survey areas 1 m / point cloud LAZ / GeoTIFF Custom DEM processing Point clouds available Processing required ★★★★☆
Copernicus GLO-30 Global 30 m GeoTIFF Backup DEM Consistent coverage Coarse for steep terrain ★★☆☆☆

4.3 Typical Preprocessing

  • reproject to NZTM2000 and check vertical datum (NZVD2016)
  • clip to model domain plus buffer
  • merge LiDAR survey tiles and fill gaps with the 8 m DEM
  • condition channels and remove culvert and bridge artefacts
  • resample to model grid
  • compare drainage paths with REC2 streams
  • smooth only where needed for numerical stability

4.4 Quality Checks

  • confirm river channels follow topographic lows
  • check braided river beds, which change after floods
  • check stopbanks (levees) and drainage channels on lowland floodplains
  • check peat areas for subsidence since the LiDAR survey date
  • compare derived catchments with REC2 catchments

5. Surface Water

5.1 Rivers

Dataset Coverage Format MIKE SHE / MIKE 1D Use Advantages Limitations Recommendation
River Environment Classification (REC2) New Zealand Vector GIS with topology and attributes River network, catchments National river network with classification and flow statistics Requires simplification for hydraulic routing ★★★★★
LINZ Topo50 hydrography New Zealand Vector GIS Rivers, lakes, drains Official topographic mapping Less topology than REC2 ★★★★☆
HydroRIVERS Global Vector GIS Fallback Global consistency Too coarse for New Zealand ★☆☆☆☆

5.2 Lakes and Reservoirs

Dataset Use Recommendation
FENZ (Freshwater Ecosystems of New Zealand) Lakes, rivers and wetlands with ecological attributes ★★★★☆
LINZ Topo50 Lake polygons ★★★★☆
Hydropower operators and regional councils Storage levels for hydro lakes ★★★★☆

5.3 Wetlands and Springs

Potential sources:

Wetland and spring data are useful for groundwater-dependent ecosystem studies, spring-fed stream baseflow, and surface storage parameterization.

5.4 Typical Preprocessing

  • simplify river network
  • remove minor branches not relevant at model scale
  • identify losing and gaining reaches (especially braided rivers)
  • align river network with DEM
  • define cross-sections or approximate channel geometry
  • define river-bed conductance
  • include drains, stopbanks and hydro schemes where relevant
  • assign river boundary conditions

6. Land Cover and Vegetation

6.1 Purpose in MIKE SHE

Land cover and vegetation define:

  • interception
  • evapotranspiration parameters
  • root depth
  • crop coefficients
  • Manning roughness
  • irrigation zones
  • impervious areas
  • surface detention/storage behavior

6.2 Dataset Comparison

Dataset Coverage Resolution Format MIKE SHE Use Advantages Limitations Recommendation
LCDB New Zealand ~1 ha minimum mapping unit Vector Primary land-cover zones National standard with several epochs since 1996 Does not separate dairy from sheep and beef pasture ★★★★★
MfE land use and irrigated land New Zealand Vector Vector Irrigation zones and land use Identifies irrigated areas Snapshot years only ★★★★☆
ESA WorldCover Global 10 m Raster Alternative land-cover map High resolution Generic global legend ★★★☆☆
Dynamic World Global 10 m Cloud / Earth Engine Recent land-cover dynamics Near-real-time Requires postprocessing ★★★☆☆

6.3 Vegetation Datasets

Parameter Dataset Use Recommendation
LAI MODIS MCD15A3H Seasonal LAI time series ★★★★☆
NDVI Sentinel-2 / Landsat Pasture growth and crop seasonality ★★★★☆
Root depth LCDB classes + literature Root-depth assignment ★★★☆☆
Crop coefficient FAO-56 Pasture and crop ET parameterization ★★★★☆

6.4 Typical Preprocessing

  • reclassify LCDB classes into MIKE SHE vegetation zones
  • overlay irrigated land maps to separate irrigated and dryland pasture
  • separate exotic plantation forest, indigenous forest, scrub, tussock, and pasture
  • consider harvest cycles in plantation forests for long simulations
  • assign LAI curves or seasonal LAI maps
  • assign roughness values for overland flow

7. Meteorological Forcing

7.1 Precipitation

Dataset Coverage Resolution Temporal Resolution MIKE SHE Use Advantages Limitations Recommendation
NIWA VCSN New Zealand ~5 km Daily Primary rainfall forcing National standard, long record Access and licence conditions; underestimates alpine rainfall ★★★★★
CliFlo Station network Point Daily / hourly / sub-hourly Station forcing and bias correction Free, long records Uneven coverage in mountains ★★★★☆
Regional council rain gauges Regional Point Sub-hourly Event forcing Dense local networks Different portals per council ★★★★★
ERA5-Land Global ~9 km Hourly Backup forcing Free, hourly Too coarse for orographic gradients ★★☆☆☆

7.2 Climate Variables

Variable Recommended Dataset Alternatives MIKE SHE Use
Air temperature NIWA VCSN CliFlo, ERA5-Land ET, snow/rain distinction, snowmelt
Wind speed NIWA VCSN CliFlo Penman-Monteith / Shuttleworth-Wallace
Vapour pressure / humidity NIWA VCSN CliFlo Vapour-pressure deficit
Solar radiation NIWA VCSN CliFlo, NASA POWER ET energy term
Potential ET NIWA VCSN (Penman, Priestley-Taylor) CliFlo PET forcing or validation

7.3 Potential ET

Dataset Coverage Resolution Temporal Resolution Use Recommendation
NIWA VCSN New Zealand ~5 km Daily Distributed PET ★★★★★
CliFlo Station locations Point Daily Local PET time series ★★★★☆

7.4 Snow and Glaciers

Snow and ice are important in the Southern Alps, the Kaikōura ranges, and on the central North Island volcanoes.

Dataset Use Recommendation
NIWA Snow and Ice Network Alpine snow observations ★★★★☆
NIWA end-of-summer snowline survey Glacier mass-balance context ★★★☆☆
MODIS Snow Cover Snow extent validation ★★★★☆

8. Soil Data

8.1 Purpose in MIKE SHE

Soil data control:

  • infiltration
  • water retention
  • evapotranspiration limitation
  • recharge generation and nitrate leaching
  • capillary rise
  • soil-water storage
  • runoff generation

8.2 Dataset Comparison

Dataset Coverage Resolution Parameters MIKE SHE Use Advantages Limitations Recommendation
S-map Most productive land 1:50,000 or finer Functional horizons, Ksat, water retention, drainage class, profile available water Primary UZ parameterization Designed for water and nutrient modelling Incomplete in hill and high country; licence terms apply ★★★★★
Fundamental Soil Layers (FSL) New Zealand 1:50,000 to 1:63,360 (NZLRI) Drainage, profile available water, texture classes Gap filling National coverage Class-based, less detailed ★★★★☆
NZLRI New Zealand 1:50,000 to 1:63,360 Land units, rock type, slope Soil and land context National coverage Old survey ★★★☆☆
SoilGrids Global 250 m Global soil properties Backup Easy access Poorly suited to volcanic and stony soils ★★☆☆☆

8.3 Required Soil Parameters

Typical MIKE SHE soil parameters include:

  • saturated hydraulic conductivity
  • residual water content
  • saturated water content
  • van Genuchten alpha
  • van Genuchten n
  • field capacity
  • wilting point
  • bulk density
  • soil layering and stone content

8.4 Typical Preprocessing

  • use S-map functional horizons as MIKE SHE unsaturated-zone layers
  • fit van Genuchten parameters to S-map water retention values
  • fill gaps with FSL classes
  • pay special attention to stony, shallow soils on gravel plains (very high recharge)
  • treat allophanic and pumice soils (volcanic) separately
  • resample or rasterize to model grid
  • check unrealistic Ks values
  • calibrate sensitive parameters against lysimeter drainage, groundwater heads, and runoff

9. Hydrogeology

9.1 Purpose

Hydrogeologic data are required for:

  • defining aquifer boundaries
  • defining model layers
  • hydraulic conductivity zones
  • storage zones
  • specific yield
  • groundwater boundary conditions
  • conceptual groundwater model development

9.2 Dataset Comparison

Dataset Coverage Use Advantages Limitations Recommendation
GNS Science geological mapping (QMAP) New Zealand Geological framework National 1:250,000 geology Requires hydrogeological translation ★★★★☆
MfE aquifer boundaries New Zealand Aquifer extents National overview Generalized ★★★★☆
Regional council aquifer models and reports Regional Local aquifer geometry and properties Most detailed information Format and access vary ★★★★★
GLHYMPS Global Permeability screening Useful fallback Too generalized ★☆☆☆☆

9.3 Conceptual Model Recommendations

For New Zealand, special attention should be paid to:

  • highly permeable gravel aquifers with rapid recharge and short response times
  • losing braided rivers as major recharge sources
  • spring lines where groundwater re-emerges on lowland plains
  • confined coastal gravel aquifers and seawater intrusion
  • volcanic ignimbrite and pumice aquifers with long groundwater ages
  • karst systems (e.g. Arthur Marble Aquifer)
  • fault-controlled flow in tectonically active regions
  • thin soils over fractured greywacke in hill country

10. Groundwater Data

10.1 Initial Heads and Monitoring Wells

Dataset Coverage Use Advantages Limitations Recommendation
Regional council well databases (Section 22) Regional Groundwater levels, bore logs Most complete source Different portals and formats ★★★★★
LAWA New Zealand Groundwater quantity and quality summaries Nationally consistent overview Summary level ★★★★☆
GNS National Groundwater Monitoring Programme New Zealand Long-term groundwater quality and age Consistent national sites Mainly water quality ★★★☆☆

10.2 Water Takes and Pumping

Dataset Coverage Use Advantages Limitations Recommendation
Regional council consent databases Regional Consented takes, locations, rates Detailed Consented ≠ actual use ★★★★☆
Water metering data Regional Measured takes (telemetered for larger takes) Actual use Access via councils ★★★★☆
MfE New Zealand National water-take summaries Consistent Aggregated ★★☆☆☆

10.3 Boundary Conditions

Boundary Type Source Comment
Coastal boundary Coastline and sea level Important for confined coastal aquifers
River boundary REC2, regional council flow data Braided river losses need special care
Spring discharge Regional council spring gauging Drain boundaries in MIKE SHE
No-flow boundary Mountain fronts, basement contacts Must be justified conceptually
Pumping wells Regional council consents Major uncertainty in irrigated areas

11. Water Management

11.1 Relevant Processes

Water management is often central in New Zealand models:

  • irrigation (especially Canterbury, Otago, Hawke's Bay, Marlborough)
  • groundwater and surface-water takes under allocation limits
  • minimum flows and flow regimes
  • hydropower schemes (e.g. Waitaki, Waikato, Clutha)
  • land drainage and flood protection schemes
  • managed aquifer recharge (e.g. Canterbury)
  • nutrient limits and farm environment plans

11.2 Regulatory Framework

  • freshwater is managed under the Resource Management Act 1991 (currently under reform)
  • the National Policy Statement for Freshwater Management (NPS-FM) sets national direction, including limits and Te Mana o te Wai
  • regional plans set allocation limits, minimum flows, and nutrient rules
  • Water Conservation Orders protect selected water bodies (e.g. Te Waikoropupū Springs)

11.3 Dataset Sources

Topic Dataset / Agency Use
Water takes Regional councils Consents and metered use
Irrigated areas MfE irrigated land Irrigation zones
Allocation limits Regional plans Scenarios and zonation
National environmental reporting MfE / Stats NZ Context and trends

12. Remote Sensing Products

Dataset Coverage Resolution Use Recommendation
MODIS MOD16 Global 500 m Regional actual ET validation ★★★☆☆
SSEBop Global ~1 km Actual ET validation ★★★☆☆
Sentinel-2 Global 10 m Land cover, irrigation mapping, vegetation dynamics ★★★★★
Sentinel-1 SAR Global 10 m Flood extent under cloud cover ★★★★☆
Landsat Global 30 m Long-term land cover and ET support ★★★★☆
SMAP Global Coarse Soil moisture (limited in steep terrain) ★★☆☆☆
MODIS Snow Cover Global 500 m Snow extent ★★★★☆
ECOSTRESS Selected coverage ~70 m Plant water stress ★★☆☆☆

Frequent cloud cover limits optical remote sensing in many regions; SAR is often more reliable for flood mapping.


13. Calibration Datasets

Target Dataset Use Recommendation
River discharge Regional councils / NIWA hydrometric network Streamflow calibration ★★★★★
Spring-fed stream flows Regional council gaugings Baseflow and groundwater discharge ★★★★★
Groundwater heads Regional council monitoring wells Saturated-zone calibration ★★★★★
Drainage / recharge Regional council lysimeters Direct recharge validation ★★★★★
Groundwater age GNS tritium and age-tracer data Flow paths and residence times ★★★★☆
Actual ET MODIS MOD16 / eddy-covariance sites ET plausibility ★★★☆☆
Soil moisture CliFlo / regional council sites UZ validation ★★★☆☆
Snow NIWA Snow and Ice Network / MODIS Alpine catchments ★★★☆☆

A robust New Zealand MIKE SHE model should avoid calibration against only discharge. Recommended targets are:

  1. river discharge, including losing reaches of braided rivers
  2. spring-fed stream flows and baseflow
  3. groundwater heads in representative wells
  4. lysimeter drainage where available
  5. groundwater ages to constrain flow paths and lag times
  6. irrigation takes where relevant

14. Typical MIKE SHE Workflow

  1. Define modelling objective and domain.
  2. Download and preprocess the LINZ LiDAR DEM.
  3. Delineate catchments and surface drainage.
  4. Build river network from REC2.
  5. Prepare land cover from LCDB and irrigated land maps.
  6. Assign vegetation parameters from MODIS MCD15A3H and literature.
  7. Prepare precipitation from NIWA VCSN and regional council gauges.
  8. Prepare climate forcing and PET from NIWA VCSN.
  9. Prepare soil properties from S-map and FSL.
  10. Build hydrogeological layers from GNS mapping and regional council aquifer models.
  11. Import initial groundwater heads from regional council databases.
  12. Add consented and metered water takes.
  13. Couple rivers and groundwater, with particular care for braided rivers and springs.
  14. Calibrate discharge, spring flows, and groundwater heads.
  15. Validate recharge against lysimeters and groundwater ages.
  16. Document assumptions and uncertainties.

15. Minimum Dataset Package

For a simple screening model:

Model Element Dataset
DEM NZ 8 m DEM or LiDAR DEM
Land cover LCDB
Precipitation NIWA VCSN
Climate forcing NIWA VCSN
Potential ET NIWA VCSN
Rivers REC2
Soils S-map / FSL
Aquifers MfE aquifer boundaries
Streamflow Regional council / LAWA
Groundwater heads Regional council

16. Recommended Dataset Package

For a professional regional MIKE SHE model:

Model Element Dataset
DEM LINZ LiDAR 1 m DEM
Sub-daily precipitation Regional council gauges + CliFlo
Climate forcing NIWA VCSN
Land cover LCDB + Sentinel-2 checks
Irrigation MfE irrigated land + regional council consents
Soils S-map
Hydrogeology Regional council aquifer models + GNS mapping
Groundwater heads Regional council monitoring
Water takes Regional council consents and metering
Recharge validation Lysimeters + groundwater age data
Actual ET MODIS MOD16 / SSEBop

17. Premium Dataset Package

For high-quality consulting, regulatory, or research models, add:

Dataset Type Possible Source Purpose
LiDAR point clouds and river bathymetry LINZ / OpenTopography / regional councils Channel and floodplain geometry
Rain radar MetService / regional councils Event-scale rainfall
Metered water-take records Regional councils Pumping stress refinement
Regional groundwater models Regional councils / consultants Aquifer layering and parameters
Pumping tests Council records / consultant reports Hydraulic conductivity and storage
Hydro scheme operations Hydropower operators Regulated river boundaries
Farm-scale soil and nutrient data Farm environment plans / OVERSEER-type assessments Nitrate leaching and recharge quality
Age-tracer data GNS Science Lag times and flow paths

18. Dataset Comparison Table Template

Use this table for adding new datasets.

Dataset Coverage Spatial Resolution Temporal Resolution Time Period Format API / Access License MIKE SHE Use Advantages Limitations Recommendation
★☆☆☆☆

19. Data Preparation Checklist

Terrain

  • [ ] DEM downloaded
  • [ ] DEM projected to NZTM2000 and checked against NZVD2016
  • [ ] DEM clipped
  • [ ] LiDAR gaps filled
  • [ ] drainage paths checked

Surface Water

  • [ ] REC2 network downloaded
  • [ ] river network simplified
  • [ ] losing and gaining reaches identified
  • [ ] springs identified
  • [ ] hydro schemes and drains included
  • [ ] boundary conditions assigned

Land Cover and Vegetation

  • [ ] LCDB downloaded for simulation period
  • [ ] classes reclassified
  • [ ] irrigated areas defined
  • [ ] forest harvest cycles considered
  • [ ] LAI assigned
  • [ ] rooting depths assigned

Weather

  • [ ] VCSN access and licence confirmed
  • [ ] precipitation downloaded
  • [ ] regional council gauges added
  • [ ] climate variables downloaded
  • [ ] PET checked
  • [ ] snow parameters defined where relevant
  • [ ] model forcing files prepared

Soil

  • [ ] S-map and FSL downloaded
  • [ ] van Genuchten parameters fitted
  • [ ] soil layers harmonized
  • [ ] stony and volcanic soils checked
  • [ ] unrealistic values checked

Groundwater

  • [ ] aquifer boundaries defined
  • [ ] regional council aquifer models requested
  • [ ] initial heads interpolated
  • [ ] water takes added
  • [ ] boundary conditions defined

Calibration and Validation

  • [ ] discharge gauges selected
  • [ ] spring flows selected
  • [ ] groundwater wells selected
  • [ ] lysimeter data obtained where available
  • [ ] groundwater age data obtained where available
  • [ ] calibration and validation periods defined

20. References and Official Data Portals


21. Notes on Uncertainty

Important uncertainties for New Zealand MIKE SHE models include:

  • orographic precipitation gradients poorly captured by gauges and grids
  • alpine precipitation and snowmelt
  • braided river losses and river-bed conductance
  • very high and variable conductivity of gravel aquifers
  • soil hydraulic parameters for stony and volcanic soils
  • irrigation timing and actual water use
  • groundwater lag times for nitrate
  • land-use change (dairy conversion, forestry harvest)
  • changing river beds after floods
  • limited satellite ET validation due to cloud cover and steep terrain
  • aggregation from fine datasets to model-grid resolution

A defensible model should document dataset choices, preprocessing assumptions, calibration strategy, validation results, and known limitations.


22. Regional Council Data Sources

In New Zealand, regional councils and unitary authorities hold most groundwater, streamflow, rainfall and water-take data. Most provide an environmental data portal, a well or bore database, and a consents search on their websites.

Region Council Key Aquifers / Hydrological Focus
Northland Northland Regional Council Coastal sand and basalt aquifers, subtropical storms
Auckland Auckland Council Volcanic field basalt aquifers, urban stormwater
Waikato Waikato Regional Council Lake Taupō, Waikato River hydro, peat lowlands
Bay of Plenty Bay of Plenty Regional Council Rotorua lakes, ignimbrite aquifers
Gisborne Gisborne District Council Poverty Bay flats aquifers, erodible hill country
Hawke's Bay Hawke's Bay Regional Council Heretaunga Plains and Ruataniwha aquifers
Taranaki Taranaki Regional Council Volcanic ring plain, dairy
Manawatū-Whanganui Horizons Regional Council Manawatū plains, dairy nutrient management
Wellington Greater Wellington Regional Council Waiwhetū Artesian Aquifer, Wairarapa aquifers
Tasman Tasman District Council Waimea Plains, Arthur Marble Aquifer, Te Waikoropupū Springs
Nelson Nelson City Council Urban catchments
Marlborough Marlborough District Council Wairau Aquifer, viticulture irrigation
West Coast West Coast Regional Council Extreme rainfall, flood hazard
Canterbury Environment Canterbury Canterbury Plains gravel aquifers, braided rivers, lysimeters
Otago Otago Regional Council Central Otago basins, irrigation
Southland Environment Southland Alluvial aquifers, dairy nutrient management