Table 4.3: Data, sources of information and expertise and assessment capabilities relating to effects of climate change
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| Natural resource | Key climate influence | Source of information/expertise | Assessment capabilities |
|---|---|---|---|
| Water | Expertise Regional, City and District Councils; National Centre for Water Resources, NIWA; National Centre for Aquatic Biodiversity and Biosecurity, NIWA; consultants; Lincoln Environmental (irrigation model) Models NIWA 'Topnet model', MIKE11 Databases Regional council water quality and quantity databases; National HIRDS data set; National Climate Database; National River Water Quality and Quantity Network and Database; National Hydrometric Database | Good predictive capability in most cases | |
| Rivers | |||
|
Peak rainfall and/or flows and/or levels | ||
|
Seasonal rainfall and/or flows and temperature | ||
| Lakes | |||
|
Rainfall | ||
|
Seasonal rainfall and temperature | ||
|
Decadal rainfall and temperature | ||
Wetlands
|
Decadal rainfall and temperature | ||
Groundwater
|
Seasonal to decadal rainfall | ||
| Water quality | Daily to monthly temperature, rainfall | ||
Drainage |
Rainfall, groundwater levels, land use | ||
| Storm water and waste water drainage | Hourly peak rainfall | ||
| Water supply and irrigation | Rainfall and/or flows, projected demands | ||
| Land | Expertise Regional Councils; Landcare Research; Natural Hazards Centre; consultants (erosion); universities; a number of CRIs have expertise with animal and plant pests Models CLIMEX (developed in Australia to predict distributions of insect pests); Landcare Research have a range of models for predicting biodiversity changes and ecosystem responses Databases National vegetation survey and soil and land databases (Landcare Research) | Some predictive modelling capability exists, principally in the science community. In many cases the gathering of biological and physical data would be required over a period of time. | |
|
Rainfall | ||
|
Decadal rainfall and temperature | ||
|
Seasonal to decadal rainfall and temperature | ||
| Coast | Expertise Regional councils; NIWA; universities; consultants Models Various dynamic 1, 2, and 3-D models and empirical models Databases Sea levels, winds, waves, tides, sea surface temperature, beach profiles | Variable | |
|
Long-term changes in sea-level | ||
|
Increase in storm intensity and frequency | ||
|
Changes in sediment supply Changes in wave climate | ||
Air
|
Hourly temperature Hourly wind speed and direction Hourly solar radiation | Expertise Regional councils, NIWA, consultants Models CALPUFF and other dispersion models; TAPM Databases National AGDB (NIWA/MfE); National Climate Database | Specific modelling capability limited to a small number of experts Limited current data at relevant scales |
General
|
24 hour to seasonal weather extremes (temperature, rainfall, wind, snow) | Expertise Natural Hazards Centre, NIWA and IGNS; universities | |
