Sunshine hours 1976

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4197
9
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 1976 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53228
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sunshine hours 1975

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4370
6
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 1975 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53235
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sunshine hours 1974

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4305
6
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 1974 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53227
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sunshine hours 1973

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4395
6
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 1973 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53226
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sunshine hours 1972

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

5343
7
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 1972 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53225
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Streambank Erosion Susceptibility Index

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

390
14
Added
29 Jul 2021

This dataset was first added to MfE Data Service on 29 Jul 2021.

Full report: Memorandum on implementing a national index for susceptibility to streambank erosion: environment.govt.nz/publications/national-index-st...

This dataset contains predictions of the susceptibility to streambank erosion for every stream link in the RECv2.5 digital river network. Streambank erosion susceptibility is computed as a dimensionless index (range 0-100) for each stream link based on factors that may influence reach-scale bank erosion. These factors comprise stream power, the extent of riparian woody vegetation, valley confinement, channel sinuosity, and the erodibility of stream banks based on soil texture. The approach for determining streambank erosion susceptibility is described by Smith & Betts (2021) and based on the bank erosion model developed by Smith et al. (2019).

***Smith HG, Spiekermann R, Dymond J, Basher L 2019. Predicting spatial patterns in riverbank erosion for catchment sediment budgets. New Zealand Journal of Marine and Freshwater Management 53: 338–362.

***Smith HG, Betts H 2021. Memorandum on implementing a national index for susceptibility to streambank erosion. Technical memorandum prepared for the Ministry for the Environment by Manaaki Whenua – Landcare Research.

Layer ID 105771
Data type Vector linestring
Feature count 593517
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Low Slope Land 2021 Proposal NZ

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1171
50
Added
13 Aug 2021

This dataset was first added to MfE Data Service on 13 Aug 2021.

The StockEx LSL 2021 proposed layer identifies proposed areas of "low slope land" where the Resource Management (Stock Exclusion) Regulations 2020 would apply if the low slope land map was updated as proposed in the "Stock exclusion regulations: Proposed changes to the low slope map" (MfE, 2021) discussion document. The layer shows the area of land defined as low slope land. These areas have a local mean slope is less than or equal to 5 degrees and are below 500m in altitude. Areas of lakes and ponds, estuarine open water, built-up areas, transport infrastructure, depleted grass, tall tussock grassland and urban parkland, as defined in Land Cover Database 5, are also excluded.

Note: The current regulation layer is 'Stock Exclusion Low Slope Land 2020'

data.mfe.govt.nz/layer/104827

Layer ID 105877
Data type Vector multipolygon
Feature count 14591
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Low Slope Land 2021 Proposal Chatham Islands

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

191
0
Added
13 Aug 2021

This dataset was first added to MfE Data Service on 13 Aug 2021.

The StockEx LSL 2021 proposed layer identifies proposed areas of "low slope land" where the Resource Management (Stock Exclusion) Regulations 2020 would apply if the low slope land map was updated as proposed in the "Stock exclusion regulations: Proposed changes to the low slope map" (MfE, 2021) discussion document. The layer shows the area of land defined as low slope land. These areas have a local mean slope is less than or equal to 5 degrees and are below 500m in altitude. Areas of lakes and ponds, estuarine open water, built-up areas, transport infrastructure, depleted grass, tall tussock grassland and urban parkland, as defined in Land Cover Database 5, are also excluded.

Layer ID 105876
Data type Vector multipolygon
Feature count 136
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Low Slope Land 2020

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

7142
195
Added
04 Aug 2020

This dataset was first added to MfE Data Service on 04 Aug 2020.

The Stock Exclusion Low Slope Land 2020 layer identifies areas of "low slope land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. The layer shows the land parcels, or part parcels, defined as low slope land. These areas have a mean slope is less than or equal to 10 degrees. Parcels with a parcel intent of "ROAD" are excluded. Areas of lakes, ponds, settlements and urban parkland, as defined in Land Cover Database 5, are also excluded. Areas of low-slope grassland and annual cropland within high-slope parcels are also included in the Stock Exclusion Low Slope Land extent.

Layer ID 104827
Data type Vector multipolygon
Feature count 39024
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Standardised soil moisture deficit 2013 2014

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4497
25
Added
11 Feb 2016

This dataset was first added to MfE Data Service on 11 Feb 2016.

Soil moisture is important for plant growth. A lack of moisture content over a growing season is a good indicator of drought, which can have social, environmental, and economic impacts. Increasing temperatures and changes in rainfall patterns are expected to increase the frequency and intensity of drought in many regions. Growing season soil moisture deficits are estimated by the potential evapotranspiration deficit, the difference between rainfall and evapotranspiration.

This layer shows the standardised annual soil moisture (potential evapotranspiration deficit (PED)) across New Zealand for 2013 as part of the data series for years 1972 to 2013.

Evapotranspiration is the loss of water by evaporation and plant transpiration. PED is the difference between estimated evapotranspiration and rainfall.

We produced maps of the standardised annual PED (the departure from the 1981–2010 average, divided by the 1981–2010 standard deviation) were produced for every growing season (calculated as July–June years) from 1972 to 2013.

Care should be taken when comparing maps from year to year – days may be missing from the PED GIS data, and data may have been interpolated to complete the dataset. The interpolation accuracy is lowest in areas of high elevation, where there are fewer climate stations and complex terrain affects accuracy. Climate stations may also open and close, affecting the accuracy of the data provided.

This dataset relates to the "Soil moisture and drought" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 53095
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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