LENZ - Mean annual solar radiation

2158
481
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Mean annual solar radiation data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

Development of surfaces for annual and monthly solar radiation required substantially more data preparation than for the other climate surfaces, reflecting the small number of stations at which solar radiation has traditionally been measured.

Monthly estimates of average daily solar radiation to 1980 were available for 22 meteorological stations, but measurements of sunshine hours were available for a total of 98 stations, including 18 of the stations for which solar radiation measurements were available. To extract as much information as possible from these data, a surface was fitted first that predicted for each month the ratio of solar radiation reaching the earth's surface to that reaching the top of the atmosphere, with the latter calculated from solar geometry equations. In fitting this surface, only the 18 data points where measurements were made of both solar radiation and sunshine hours were used.

In addition to NZMG coordinates, it used as an additional predictor the ratio of measured sunshine hours for each month to the maximum possible sunshine hours given no cloud. This surface was then used to estimate the monthly solar radiation received at each of the 80 sites for which measurements of sunshine hours alone were available. Using a total of 98 sites for which solar radiation data were either measured directly or estimated from sunshine hours, surfaces predicting annual and monthly solar radiation were then fitted. Data describing monthly humidity was used as a surrogate measure of cloudiness to improve the fit of the surface to the underlying data. This also increases the local accuracy of the surface predictions, as the number of meteorological stations used to fit the humidity surface is more than three times greater than the number of sites used to fit the solar radiation surface.

The units for this layer are in MJ/m2/day, higher values signifiy areas that have higher levels of solar radiation. This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 123 is actually 12.3 MJ/m2/day.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48095
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - Mean annual temperature

1364
581
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Mean annual temperature data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

Mean annual temperature is recorded in °C. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. The resulting data layer was created by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 300 meteorological stations. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation. Following conventions used in the calculation of climate summary statistics, the values used to fit the surface consisted of the mean of the 12 monthly averages for daily average temperature.

This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 136 is actually 13.6 °C.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48094
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

FSL Soil Temperature Regime

1453
248
Added
04 Jun 2010

This dataset was first added to LRIS Portal on 04 Jun 2010.

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralogical characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates. The layers contains the soil temperature regime attribute. The soil temperature regime classes relate to the soil temperature at 0.3 m depth. The classes used originate from and are described more fully in Webb and Wilson (1995), which in turn is based on the work of Aldridge (1982, 1984) and Aldridge and Cook (1983).

Layer ID 48107
Data type Vector polygon
Feature count 107298
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Mean minimum temperature of the coldest month data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

Mean minimum temperature of the coldest month is recorded in °C. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. Estimates of the mean minimum temperature in July, the coldest month of winter, were derived from a surface fitted to monthly estimates of mean daily temperatures. The resulting data layer was created by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 346 meteorological stations. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation.

This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 53 is actually 5.3 °C.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48092
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - Annual water deficit

920
405
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Annual water deficit data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

Based on a water balance model using monthly estimates of mean daily temperature, mean daily solar radiation, and mean rainfall, this layer is used as an indicator of soil dryness. The layer calculated as the sum of any deficits between rainfall and potential evaporation calculated using the method of Priestley and Taylor (1972). The resulting 100 metre layer (The temperature, solar radiation and rainfall layers were all 100m) was then interpolated to 25 metres using bilinear interpolation.

The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980 The data layer was derived from surfaces fitted to monthly data describing daily average temperature, daily solar radiation and monthly rainfall. The rainfall surface was fitted using NZMG coordinates, elevation, and a model describing relationships between topography and westerly winds.

Having derived the 36 input climate layers, an empirical model was first used to calculate the monthly potential evaporation from the monthly estimates of solar radiation and temperature. These estimates of evaporation were then compared with the monthly rainfall estimates. Where the rainfall exceeded evaporation, the monthly deficit was assumed to be zero, but where monthly evaporation exceeded monthly rainfall, the shortfall was accumulated through the year to derive an estimate of the annual water deficit.

The units for this layer are in mm, higher values are areas that have a larger deficit.

Additional details such as the climate station locations used in the creation of the layer are defined in the attached LENZ Technical Guide.

Layer ID 48097
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - Winter solar radiation

624
226
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Winter solar radiation data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

Winter solar radiation reaches a minimum in June, the month when the sun is lowest in the sky and day lengths are at their shortest, hence the layer is the monthly average solar radiation layer calculated for the month of June. Estimates of winter solar radiation across New Zealand were derived from a surface fitted to monthly solar radiation estimates for 98 sites as described for mean annual solar radiation.

Data describing monthly humidity was used as a surrogate measure of cloudiness to improve the fit of the surface to the underlying data. This also increases the local accuracy of the surface predictions, as the number of meteorological stations used to fit the humidity surface is more than three times greater than the number of sites used to fit the solar radiation surface. For more details on the creation of these layers see the mean annual solar radiation layer.

The units for this layer are in MJ/m2/day, higher values signify areas that have higher levels of solar radiation. This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 53 is actually 5.3 MJ/m2/day.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48096
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - Monthly water balance ratio

620
228
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

Monthly water balance ratio data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

This layer differentiates between regions that have minimal water deficit, but vary markedly in the total amount of rainfall they receive. Based on a water balance model using monthly estimates of mean daily temperature, mean daily solar radiation, and mean rainfall. This layer is the annual average of the monthly ratios of rainfall to potential evaporation calculated using the method of Priestley and Taylor (1972). The resulting 100 metre layer (The temperature, solar radiation and rainfall layers were all 100m) was then interpolated to 25 metres using bilinear interpolation.

The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980 The data layer was derived from surfaces fitted to monthly data describing daily average temperature, daily solar radiation and monthly rainfall. The rainfall surface was fitted using NZMG coordinates, elevation, and a model describing relationships between topography and westerly winds. Having derived the 36 input climate layers, an empirical model was first used to calculate the monthly potential evaporation from the monthly estimates of solar radiation and temperature. These estimates of evaporation were then compared with the monthly rainfall estimates. To calculate the monthly water balance ratio, the ratio of rainfall to evaporation was computed for each month, and then the average of these twelve ratios was calculated.

Additional details such as the climate station locations used in the creation of the layer are defined in the attached LENZ Technical Guide.

Layer ID 48093
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - October vapour pressure deficit

243
125
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

October vapour pressure deficit data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

October vapour pressure deficit, recorded in kPa, is used to estimate the effects of variation in the dryness of the air. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. Estimates of the vapour pressure deficit for each month were derived by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 287 meteorological stations, using humidity and temperature data. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation.

Calculation of the vapour pressure deficit first required estimation of the temperature at 0900 hours, the time at which humidity measurements are made. This was calculated from the measured mean daily minimum and maximum temperatures for each month using a function that simulates the temperature course through the day. The estimated temperature at 0900 hours was then used to calculate the saturation water vapour pressure , which indicates the maximum amount of water vapour able to be held in the air given its temperature. Vapour pressure deficits in October were used in LENZ as this is the month when westerly winds are generally most persistent, resulting in strong geographic variation in vapour pressure deficits across New Zealand.

This layer has been multiplied by a factor of 100 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 33 is actually 0.33 kPa.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48091
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mean Annual Soil Temperature (STYEAR)

Online
Only
109
43
Added
02 Oct 2012

This dataset was first added to LRIS Portal on 02 Oct 2012.

A 25m grid of mean annual soil temperature at 30cm depth derived by regression analysis from 175 data loggers and NIWA standard climate stations recording soil temperature. This clipped version is provided for use as a regression variable for calculating the BASE carrying capacity. For use with Model 1.

Layer ID 48319
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

ecr_nzmas

65
25
Updated
03 Aug 2017

This dataset was last updated on LRIS Portal on 03 Aug 2017.

Layer ID 48317
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed
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