MfE Data Service :: tag:data.mfe.govt.nz,2008-10:feed:data:geotag=global:sort=rMinistry for the Environmenthttps://data.mfe.govt.nz//MFE Sentinel2 2023 Mainland NZ Footprintstag:data.mfe.govt.nz,2024-03:layers:1167212024-03-19T22:30:17.433789+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/116721-mfe-sentinel2-2023-mainland-nz-footprints/" title="Details for MFE Sentinel2 2023 Mainland NZ Footprints"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=116721.400025,style=auto/90x70.png" alt="MFE Sentinel2 2023 Mainland NZ Footprints thumbnail"/></a><br />
<p>INDEX ONLY: These footprints are the index for the 'Sentinel2 2023 Mainland NZ' mosaic. It has been provided to enable users to explore coverage and capture dates of the component imagery. To enquire about ordering the imagery itself, please e-mail lucas[at]mfe.govt.nz. Some imagery is available to stream at <a href="https://mfe.maps.arcgis.com/home/gallery.html?sortField=relevance&sortOrder=desc&categories=%2FCategories%2FImagery">mfe.maps.arcgis.com/home/gallery.html?sortField=re...</a>.</p>
<p>This imagery is 10m, ten-band multispectral 1 (“B2” 490nm), 2 (“B3” 560nm), 3 (“B4” 665nm), 4 (“B5” 705nm), 5 (“B6” 740nm), 6 (“B7” 783nm), 7 (“B8” 842nm), 8 (“B8a” 865nm), 9 (“B11” 1610nm), 10 (“B12” 2190nm), cloud-minimised mosaics of Sentinel 2A and 2B satellite tiles over mainland New Zealand made from scenes captured late-2022/early-2023.</p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 19 Mar 2024<br />
MFE Sentinel2 2023 Chatham Islands Footprintstag:data.mfe.govt.nz,2024-03:layers:1167202024-03-19T21:30:19.737311+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/116720-mfe-sentinel2-2023-chatham-islands-footprints/" title="Details for MFE Sentinel2 2023 Chatham Islands Footprints"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=116720.400024,style=auto/90x70.png" alt="MFE Sentinel2 2023 Chatham Islands Footprints thumbnail"/></a><br />
<p>INDEX ONLY: These footprints are the index for the 'Sentinel2 2023 Chatham Islands' mosaic. It has been provided to enable users to explore coverage and capture dates of the component imagery. To enquire about ordering the imagery itself, please e-mail lucas[at]mfe.govt.nz. Some imagery is available to stream at <a href="https://mfe.maps.arcgis.com/home/gallery.html?sortField=relevance&sortOrder=desc&categories=%2FCategories%2FImagery">mfe.maps.arcgis.com/home/gallery.html?sortField=re...</a>.</p>
<p>This imagery is a 10m, ten-band multispectral 1 (“B2” 490nm), 2 (“B3” 560nm), 3 (“B4” 665nm), 4 (“B5” 705nm), 5 (“B6” 740nm), 6 (“B7” 783nm), 7 (“B8” 842nm), 8 (“B8a” 865nm), 9 (“B11” 1610nm), 10 (“B12” 2190nm), cloud-minimised mosaic of Sentinel 2A and 2B satellite tiles over Chatham Islands made from scenes captured late-2022/early-2023.</p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 19 Mar 2024<br />
Annual trends: Particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ground-level ozone: 2011 - 2020tag:data.mfe.govt.nz,2024-02:layers:1159802024-02-19T01:33:44.256050+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115980-annual-trends-particulate-matter-10-pm10-particulate-matter-25-pm25-nitrogen-dioxide-no2-sulphur-dioxide-so2-carbon-monoxide-co-and-ground-level-ozone-2011-2020/" title="Details for Annual trends: Particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ground-level ozone: 2011 - 2020"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115980.398302,style=auto/90x70.png" alt="Annual trends: Particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ground-level ozone: 2011 - 2020 thumbnail"/></a><br />
<p>For trends, sites needed to have at least six complete years between 2011 and 2020. For annual trends, a site could not have a gap in the time series longer tan four months.<br>
Annual trends between 2011 and 2020 for:<br>
- Particulate matter 10 (PM10) concentrations<br>
- Particulate matter 2.5 (PM2.5) concentrations<br>
- Nitrogen dioxide (NO2) concentrations<br>
- Sulphur dioxide (SO2) concentrations<br>
- Carbon monoxide (CO) concentrations<br>
- Ground-level ozone concentrations </p>
<p>Variables:<br>
pollutant: abbreviated pollutant name, chemical name, or chemical formula (e.g., PM10, Ozone, or CO)<br>
site: regional council or unitary authority unique name for site<br>
airshed: gazetted name of airshed<br>
lat: site latitude<br>
long: site longitude<br>
likelihood: trend direction (“improving, “worsening”, or “indeterminate” – for more information see Stats NZ indicator webpages).<br>
significant: TRUE if the trend is statistically significant, otherwise FALSE<br>
p: p-value to assess level of statistical significance<br>
slope: slope of the trend line (average units/year change)<br>
lower: lower limit of the 95% confidence interval of the slope<br>
upper: upper limit of the 95% confidence interval of the slope<br>
intercept: intercept of the trend line<br>
lower_intercept, upper_intercept: trend statistics<br>
slope_percent, lower_percent, upper_percent: trend statistics<br>
trend_type: type of trend (i.e., annual or seasonal)<br>
period_start: first year of the trend period<br>
period_end: last year of the trend period</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 19 Feb 2024<br />
Seasonal trends: Particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ground-level ozone: 2011 - 2020tag:data.mfe.govt.nz,2024-02:layers:1159792024-02-19T01:31:52.389205+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115979-seasonal-trends-particulate-matter-10-pm10-particulate-matter-25-pm25-nitrogen-dioxide-no2-sulphur-dioxide-so2-carbon-monoxide-co-and-ground-level-ozone-2011-2020/" title="Details for Seasonal trends: Particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ground-level ozone: 2011 - 2020"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115979.398301,style=auto/90x70.png" alt="Seasonal trends: Particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ground-level ozone: 2011 - 2020 thumbnail"/></a><br />
<p>For seasonal trends, sites needed to have at least six complete seasons between 2011 and 2020. New to this update: not all seasons had to be complete – the previous update only calculated trends over complete seasons.<br>
Seasonal trends between 2011 and 2020 for:<br>
- Particulate matter 10 (PM10) concentrations<br>
- Particulate matter 2.5 (PM2.5) concentrations<br>
- Nitrogen dioxide (NO2) concentrations<br>
- Sulphur dioxide (SO2) concentrations<br>
- Carbon monoxide (CO) concentrations<br>
- Ground-level ozone concentrations </p>
<p>Variables:<br>
pollutant: abbreviated pollutant name, chemical name, or chemical formula (e.g., PM10, Ozone, or CO)<br>
site: regional council or unitary authority unique name for site<br>
airshed: gazetted name of airshed<br>
lat: site latitude<br>
long: site longitude<br>
season: season of trend<br>
likelihood: trend direction (“improving, “worsening”, or “indeterminate” – for more information see Stats NZ indicator webpages).<br>
significant: TRUE if the trend is statistically significant, otherwise FALSE<br>
p: p-value to assess level of statistical significance<br>
slope: slope of the trend line (average units/year change)<br>
lower: lower limit of the 95% confidence interval of the slope<br>
upper: upper limit of the 95% confidence interval of the slope<br>
intercept: intercept of the trend line<br>
period_start: first year of the trend period<br>
period_end: last year of the trend period<br>
trend_type: type of trend (i.e., annual or seasonal)</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 19 Feb 2024<br />
Drought, state, 1972 - 2022tag:data.mfe.govt.nz,2024-02:layers:1159772024-02-19T01:25:43.489888+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115977-drought-state-1972-2022/" title="Details for Drought, state, 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115977.398299,style=auto/90x70.png" alt="Drought, state, 1972 - 2022 thumbnail"/></a><br />
<p>We report on drought frequency, duration, severity, and intensity at three different time scales, short-term (3 months), medium-term (6 months) and long-term (12 months). These different time scales are approximately equivalent to meteorological, agricultural, and hydrological drought, respectively. We do this for 30 sites across Aotearoa New Zealand monitored by NIWA (National Institute for Water and Atmospheric Research) from 1972 to 2022. To measure drought events, this dataset uses the Standardised Precipitation-Evapotranspiration Index (SPEI), which incorporates temperature and precipitation. </p>
<p>Drought frequency is the number of drought events across a specified period of time. Drought duration is the number of months in a drought event. Severity is a measure of how dry a drought event is, and intensity is a measure of drought severity scaled by its duration. Extreme dryness is indicated by SPEI values of less than -2. </p>
<p>Variables:<br>
id: Relates to drought_event, whether a drought event or non-drought event<br>
year: Year<br>
month: Month<br>
site: 30 NIWA Climate stations<br>
time_scale & drought_type: The drought the SPEI values represent given at 3, 6, and 12 months<br>
spei: SPEI is the balance of PET and P<br>
spei_class: Categorising SPEI values into what they may represent climate-wise<br>
imputed_value: Whether the value was imputed using linear interpolation<br>
drought_event: whether the sequence of SPEI values meet the threshold for a drought event<br>
duration: Duration of the drought event in months<br>
start_event: The start date of a drought event<br>
severity: Sum of the SPEI values per drough event that are below -1<br>
intensity: Sum of the SPEI values per drought event standardised against time (severity/duration)<br>
lat: Latitude<br>
lon: Longitude</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 19 Feb 2024<br />
Drought, trends, 1972 - 2022tag:data.mfe.govt.nz,2024-02:layers:1159762024-02-19T01:22:55.147294+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115976-drought-trends-1972-2022/" title="Details for Drought, trends, 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115976.398298,style=auto/90x70.png" alt="Drought, trends, 1972 - 2022 thumbnail"/></a><br />
<p>To measure drought events, this dataset uses the Standardised Precipitation-Evapotranspiration Index (SPEI), which incorporates temperature and precipitation. We report on drought frequency, duration, severity, and intensity at three different time scales, short-term (3 months), medium-term (6 months) and long-term (12 months). These different time scales are approximately equivalent to meteorological, agricultural, and hydrological drought, respectively. We report the trends for 30 sites across Aotearoa New Zealand monitored by NIWA (National Institute for Water and Atmospheric Research) from 1972 to 2022.</p>
<p>Variables:<br>
site: Site the NIWA climate stations represent.<br>
time_scale: The number of months of drought<br>
drought_type: The drought the SPEI values represent given at 3, 6, and 12 months (meterological, agricultural and hydrological respectively.<br>
lat: Approx. lattitude location of NIWA climate stations to represent a site.<br>
lon: Approx. longitude location of NIWA climate stations to represent a site.<br>
trend_type: Duration is the number of months a drought event lasts.<br>
Average SPEI is the annual average SPEI value. Severity is the sum of SPEI values per drought event. Intensity is severity/duration. Peak month is the lowest SPEI value recorded per drought event. Frequency is the numbers of months between each drought event.<br>
p_value: Probability of obtaining test results at least as extreme as the result actually observed.<br>
z: Z statistic after correcting for autocorrelated data<br>
method: The type of trend test undertaken. Note that for methane a linear model with a quadratic term is used. For the Mann Kendall test we used a modified Mann Kendall test for autocorrelated data modifiedmk::mmkh()<br>
n: Number of data points included in trend calculation.<br>
note: Linear model analysis notes<br>
s, var_s, tau: Mann-Kendall test statistics.<br>
alternative: Alternative hypothesis<br>
trend_likelihood: Likelihood of trend direction adapted from IPCC criteria.<br>
period_start, period_end: The period the trend represents.</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 19 Feb 2024<br />
Greenhouse gas concentrations, trends, to 2022tag:data.mfe.govt.nz,2024-02:layers:1159752024-02-19T00:55:07.837854+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/table/115975-greenhouse-gas-concentrations-trends-to-2022/" title="Details for Greenhouse gas concentrations, trends, to 2022"><img src="https://assets.koordinates.com/kx-dandelion-live2-public/thumbs/layers/115975/398297/small.png" alt="Greenhouse gas concentrations, trends, to 2022 thumbnail"/></a><br />
<p>This indicator measures trends of atmospheric concentrations of the three main greenhouse gases (GHGs) associated with human activities for the specified periods to 2022: carbon dioxide (CO2, ppm) from 1972, methane (CH4, ppb) from 1989, and nitrous oxide (N2O, ppb) from 1996.A subset of observations taken at Baring Head near Wellington was used to report on seasonally adjusted annual trends for each greenhouse gas.</p>
<p>Variables:<br>
variable: Type of GHG (CO2, CH4, N20)<br>
term: Year is a term for including years in the linear model. Year2 is a term for including squared years in the linear model with a quadratic term.<br>
p_value: The two-sided p-value associated with the observed statistic<br>
slope: The estimated value of the regression term. Rise in y for every unit of x.<br>
conf_90_low: The lower bound (inclusive) of values that's very likely to include a population value with a 90 percent degree of confidence<br>
conf_90_high: The upper bound (inclusive) of values that's very likely to include a population value with a 90 percent degree of confidence<br>
intercept: intercept<br>
r_sqaured: A measure of how well the regression line approximates the actual data. The r_squared value represents the proportion of the variance for a dependent variable that’s explained by an independent variable in a regression model.<br>
sigma: sigma<br>
method: The type of trend test undertaken. Note that for methane a linear model with a quadratic term is used. For the Mann Kendall test we used a modified Mann Kendall test for autocorrelated data modifiedmk::mmkh()<br>
n: Number of data points included in trend calculation.<br>
note: Linear model analysis notes<br>
conf_66_low: The lower bound (inclusive) of values that's likely to include a population value with a 66 percent degree of confidence<br>
conf_66_high: The upper bound (inclusive) of values that's likely to include a population value with a 66 percent degree of confidence<br>
z_score: Z statistic after correcting for autocorrelated data<br>
tau: Mann-Kendall's Tau<br>
variance: variance after correcting for autocorrelated data<br>
trend_likelihood: A description of how strong/likely the trend result is. Trends are categorised use the p-value. Categories are based on Stats NZ likelihood scale, which is a subset of the categories used by the IPCC. The following table shows the p-values for the different categories.<br>
term left_break right_break left_open right_open<br>
<br>
1 Very likely 0.9 1 TRUE FALSE<br>
2 Likely 0.66 0.9 TRUE FALSE<br>
3 Indeterminate 0.33 0.66 FALSE FALSE<br>
4 Unlikely 0.1 0.33 FALSE TRUE<br>
5 Very unlikely 0 0.1 FALSE TRUE</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 19 Feb 2024<br />
Greenhouse gas concentrations, to 2022tag:data.mfe.govt.nz,2024-02:layers:1159742024-02-19T00:51:34.901436+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/table/115974-greenhouse-gas-concentrations-to-2022/" title="Details for Greenhouse gas concentrations, to 2022"><img src="https://assets.koordinates.com/kx-dandelion-live2-public/thumbs/layers/115974/398296/small.png" alt="Greenhouse gas concentrations, to 2022 thumbnail"/></a><br />
<p>This dataset measures atmospheric concentrations of the three main greenhouse gases (GHGs) associated with human activities for the specified periods to 2022: carbon dioxide (CO2) from 1972, methane (CH4) from 1989, and nitrous oxide (N2O) from 1996.</p>
<p>A subset of observations taken at Baring Head near Wellington was used to report on monthly averages and seasonally adjusted annual trends for each greenhouse gas.</p>
<p>Variables:<br>
year: Year<br>
month: Month<br>
variable: Type of GHG (CO2, CH4, N2O)<br>
parameter: Description of what the value describes (mean, mean_fitted, seasonal_adjusted_mean, trend). mean = monthly mean, mean_fitted = monthly mean with any missing values interpolated, seasonal_adjusted_mean = mean_fitted - seasonal component of the STL, trend = STL value<br>
value: Concentration value<br>
unit: Units of measurement</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 19 Feb 2024<br />
Daily temperature 30 sites, state, 1909 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153762023-12-07T09:20:12.799734+00:002023-12-07T04:20:27.195637+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115376-daily-temperature-30-sites-state-1909-2022/" title="Details for Daily temperature 30 sites, state, 1909 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115376.395075,style=auto/90x70.png" alt="Daily temperature 30 sites, state, 1909 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>Temperature at 30 sites around the country from at least 1972 to 2022. We provide data on average, minimum, and maximum for daily temperatures. </p>
<p>Variables:<br>
site: NIWA monitoring site.<br>
date: Date (day-month-year)<br>
statistic: Statistic (Average, Max, Min).<br>
temperature: Temperature in degrees Celsius.</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Growing Degree Days, trends, 1972 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153732023-12-07T04:08:45.657724+00:002023-12-07T04:06:24.412500+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115373-growing-degree-days-trends-1972-2022/" title="Details for Growing Degree Days, trends, 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115373.395072,style=auto/90x70.png" alt="Growing Degree Days, trends, 1972 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This dataset shows the trends of annual growing degree days (GDD) for 30 sites across New Zealand from at least 1972 to 2019. GDD are the total number of degrees Celsius above a base threshold temperature for each day. We use a base threshold of 10 degrees Celsius to report on the annual GDD for each of these sites and trends.<br>
Growing degree days (GDD) indicate the amount of warmth available for plant and insect growth and can be used to predict when flowers will bloom, and crops and insects will mature. Increased GDD means that plants and insects reach maturity faster, provided that other conditions necessary for growth are favourable, such as sufficient moisture and nutrients.</p>
<p>VARIABLES:<br>
Variables: site: NIWA monitoring site<br>
Base_temperature: The base temperature to calculate the total GDD<br>
period_start: Start of the period for which the trend was assessed<br>
period_end: End of the period for which the trend was assessed<br>
p_value: P value<br>
slope, conf_low, conf_high: Rate of change per year and their lower and upper confidence intervals<br>
conf_level: confidence level (66% or 90% to match IPCC likelihood levels)<br>
z: Z score<br>
trend_method: Whether the information in this row correspond to the Sen slope or the Mann-Kendall test<br>
n: number of observations used to calculate the trend<br>
note: analysis note<br>
s, var_s, tau: Mann-Kendall trend statistics<br>
alternative: the alternative hypothesis used for the Mann-Kendall test<br>
trend_likelihood: Likelihood categories adapted from IPCC. Indicates the likelihood that a trend is increasing, decreasing, or indeterminate<br>
lat: Latitude<br>
lon: Longitude<br>
Pretty_site_name: Pretty site name<br>
Unit: unit<br>
Region_simple: Region of NIWA monitoring site<br>
Site_simple: Pretty site name without macrons</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Annual and seasonal temperatures at 30 sites, trends, 1972-2022tag:data.mfe.govt.nz,2023-12:layers:1154112023-12-11T21:51:26.413970+00:002023-12-11T21:49:20.193334+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115411-annual-and-seasonal-temperatures-at-30-sites-trends-1972-2022/" title="Details for Annual and seasonal temperatures at 30 sites, trends, 1972-2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115411.395293,style=auto/90x70.png" alt="Annual and seasonal temperatures at 30 sites, trends, 1972-2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 11 Dec 2023</strong><br />
<p>Temperature at 30 sites around the country from at least 1972 to 2022. We report annual and seasonal trends for the period 1972 to 2022 as well as rate of temperature change per decade. We provide data on average, minimum, and maximum for daily, annual, and seasonal temperatures. Trends are reported for annual and seasonal statistics. Temperature change can have a significant effect on agriculture, energy demand, ecosystems, and recreation.Climate change projections for New Zealand suggest the greatest warming will be in summer/autumn and the least in winter and spring (MfE, 2018). Variables: site: NIWA monitoring site statistic: Statistic: (mean of Average, Minimum or Maximum daily temperature) season: Spring, Summer, Autumn, Winter, or Annual p_value: P value slope, conf_low, conf_high: Rate of change per year and their lower and upper confidence intervals conf_level: confidence level (66% or 90% to match IPCC likelihood levels) intercept, r_squared, sigma: Linear model statistics trend_method: Whether the information in this row correspond to the Linear model slope or the Mann-Kendall test n: number of observations used to calculate the trend note: analysis note s, var_s, tau: Mann-Kendall trend statistics z: Z score alternative: the alternative hypothesis used for the Mann-Kendall test trend_likelihood: Likelihood categories adapted from IPCC. Indicates the likelihood that a trend is increasing, decreasing, or indeterminate period_start: Start of the period for which the trend was assessed period_end: End of the period for which the trend was assessed lat :Latitude lon: Longitude Ministry for the Environment. (2018). Climate Change Projections for New Zealand: Atmosphere Projections Based on Simulations from the IPCC Fifth Assessment, 2nd Edition (Publication No. ME 1385). <a href="https://www.mfe.govt.nz/publications/climate-change/climate-change-projections-new-zealand">www.mfe.govt.nz/publications/climate-change/climat...</a></p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 11 Dec 2023<br />
Updated: 11 Dec 2023<br />
National temperature, state, 1909 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153702023-12-07T03:15:40.177954+00:002023-12-07T03:13:31.981645+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/table/115370-national-temperature-state-1909-2022/" title="Details for National temperature, state, 1909 - 2022"><img src="https://assets.koordinates.com/kx-dandelion-live2-public/thumbs/layers/115370/395069/small.png" alt="National temperature, state, 1909 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>We provide temperature and anomaly data alongside Intergovernmental Panel on Climate Change (IPCC) global land temperature anomalies against the 1961 to 1990, and 1991 to 2020 baseline periods. </p>
<p>Global average temperatures have increased by around 1 degree Celsius in the last century, almost certainly a result of high levels of atmospheric greenhouse gases emitted from human activities. While this change may seem small, relatively small changes in our climate can have big effects on our environment (Ministry for the Environment [MfE] & Stats NZ, 2019). </p>
<p>Temperature change can have a significant effect on agriculture, energy demand, ecosystems, and recreation. Climate change projections for New Zealand suggest the greatest warming will be in summer/autumn and the least in winter and spring (MfE, 2018). </p>
<p>Temperature is also influenced by natural processes such as climate oscillations like the El Niño Southern Oscillation (ENSO). However, ENSO does not affect the long-term warming trend of the national temperature time series (World Meteorological Organization [WMO], 2014). </p>
<p>Variables:<br>
year: Year.<br>
temperature: Temperature in degrees Celsius.<br>
data_released: Year the data was released.<br>
source: Source of data.<br>
anomaly: Anomaly against the average temperature of a given reference period.<br>
reference_period: Reference period. </p>
<p>References:<br>
Ministry for the Environment. (2018). Climate Change Projections for New Zealand: Atmosphere Projections Based on Simulations from the IPCC Fifth Assessment, 2nd Edition (Publication No. ME 1385). <a href="https://www.mfe.govt.nz/publications/climate-change/climate-change-projections-new-zealand">www.mfe.govt.nz/publications/climate-change/climat...</a><br>
Ministry for the Environment & Stats NZ. (2019). New Zealand’s Environmental Reporting Series: Environment Aotearoa 2019 (Publication No. ME 1416). <a href="https://www.mfe.govt.nz/publications/environmental-reporting/environment-aotearoa-2019">www.mfe.govt.nz/publications/environmental-reporti...</a><br>
World Meteorological Organization. (2014). El Niño/Southern Oscillation. WMO. (WMO-No. 1145). <a href="https://library.wmo.int/records/item/53800-el-nino-southern-oscillation">library.wmo.int/records/item/53800-el-nino-souther...</a></p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
National Temperature, trends, 1909-2022tag:data.mfe.govt.nz,2023-12:layers:1153812023-12-08T01:15:08.949406+00:002023-12-08T01:14:03.360904+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/table/115381-national-temperature-trends-1909-2022/" title="Details for National Temperature, trends, 1909-2022"><img src="https://assets.koordinates.com/kx-dandelion-live2-public/thumbs/layers/115381/395085/small.png" alt="National Temperature, trends, 1909-2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 08 Dec 2023</strong><br />
<p>This dataset reports the linear trend (downward or upward shifts in data points over time) in New Zealand’s national average temperature from 1909 to 2022 from the National Institute of Water and Atmospheric Research’s (NIWA) ‘seven-station’ temperature series.</p>
<p>Variables:<br>
data_released: Year the data was released<br>
source: Source of data<br>
p_value: P value<br>
slope, conf_low, conf_high: Rate of change per year and their lower and upper confidence intervals<br>
conf_level: confidence level (95%)<br>
intercept, r_squared, sigma: Linear model statistics<br>
trend_method: Whether the information in this row correspond to the Linear model slope or the Mann-Kendall test<br>
n: number of observations used to calculate the trend<br>
period_start: Start of the period for which the trend was assessed<br>
period_end: End of the period for which the trend was assessed</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 08 Dec 2023<br />
Updated: 08 Dec 2023<br />
Frost days, trends,1972-2022tag:data.mfe.govt.nz,2023-12:layers:1153722023-12-07T04:00:14.161194+00:002023-12-07T03:58:35.534358+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115372-frost-days-trends1972-2022/" title="Details for Frost days, trends,1972-2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115372.395071,style=auto/90x70.png" alt="Frost days, trends,1972-2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This indicator report trends in the number of frost days for 30 sites across Aotearoa New Zealand from 1972 to 2022. The number of frost days changes from year to year in response to variable weather patterns, and their occurrence is also influenced by climate change. Climate models project we may experience fewer cold and more warm extremes in the future. Changes in the number and timing of frost days can affect agriculture, horticulture, and viticulture, for example, by damaging and destroying crops at sensitive growth stages.</p>
<p>Variables:<br>
site: site the NIWA climate stations represent.<br>
period_start, period end: the period the trend represents.<br>
p_value: probability of obtaining test results at least as extreme as the result actually observed.<br>
slope: Sen slope statistic to describe rate of change.<br>
conf Low, conf Highl: 90% confidence intervals of the slope statistic (low and high).<br>
conf_level: specified confidence level of the estimate.<br>
z: Z score.<br>
trend_method: Statistical method.<br>
n: number of data points included in trend calculation.<br>
note: note<br>
s, var_s, tau: Mann-Kendall test statistics.<br>
alternative: the alternative hypothesis used for the Mann-Kendall test<br>
trend likelihood: likelihood of trend direction adapted from IPCC criteria.<br>
lat: approx. lattitude location of NIWA climate stations to represent a site.<br>
lon: approx. longitude location of NIWA climate stations to represent a site.<br>
region: region of the site the NIWA climate stations represent.<br>
pretty_site_name: site the NIWA climate stations represent.<br>
region_simple: region of the site the NIWA climate stations represent.<br>
site_simple: site the NIWA climate stations represent.</p>
<p>References:<br>
Hutchinson, G. K., Richards, K., & Risk, W. H. (2000). Aspects of accumulated heat patterns (growing-degree days) and pasture growth in Southland. Proceedings of the New Zealand Grassland Association, 62, 81–85. <a href="https://doi.org/10.33584/jnzg.2000.62.2396">doi.org/10.33584/jnzg.2000.62.2396</a></p>
<p>Macara, G., Nichol, D., Liley, B., & Noll, B. (2023). Ministry for the Environment Atmosphere and Climate Report 2023: Updated Datasets supplied by NIWA (NIWA Client Report No. 2023072WN). <a href="https://environment.govt.nz/publications/atmosphere-and-climate-indicators-2023-updated-datasets">environment.govt.nz/publications/atmosphere-and-cl...</a></p>
<p>Macara, G., & Tait, A. (2015). Infilling of missing climate data: temperature, rainfall and wind (NIWA Client Report No. WLG2015-33). <a href="https://data.mfe.govt.nz/document/21253-macara-g-tait-a-2015-infilling-of-missing-climate-data-for-the-2015-environmental-synthesis-report-temperature-rainfall-and-wind/">data.mfe.govt.nz/document/21253-macara-g-tait-a-20...</a></p>
<p>Mastrandrea, M. D., Field, C. B., Stocker, T. F., Edenhofer, O., Ebi, K. L., Frame, D. J., Held, H., Kriegler, E., Mach, K. J., Matschoss, P. R., Plattner, G.-K., Yohe, G. W., & Zwiers, F. W. (2010). Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties. Intergovernmental Panel on Climate Change (IPCC). <a href="https://www.ipcc.ch/site/assets/uploads/2018/05/uncertainty-guidance-note.pdf">www.ipcc.ch/site/assets/uploads/2018/05/uncertaint...</a></p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Annual and seasonal temperatures at 30 sites, state 1972 - 2022tag:data.mfe.govt.nz,2023-12:layers:1154102023-12-11T21:48:10.121679+00:002023-12-11T21:45:04.237904+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115410-annual-and-seasonal-temperatures-at-30-sites-state-1972-2022/" title="Details for Annual and seasonal temperatures at 30 sites, state 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115410.395292,style=auto/90x70.png" alt="Annual and seasonal temperatures at 30 sites, state 1972 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 11 Dec 2023</strong><br />
<p>This dataset reports the annual and seasonal temperatures at 30 sites around the country from at least 1972 to 2022. Data are also provided on anomalies for all 30 stations (difference from the 1991–2020 baseline period) and for 16 stations (difference from the 1961–1990 baseline period).</p>
<p>Variables:<br>
site: NIWA monitoring site<br>
statistic: Statistic: maximum daily temperature (max), average daily temperature (average), and minimum daily temperature (min)<br>
season: period for which the data was aggregated - annual indicates the whole year was included in the calculation<br>
year: Year<br>
prop_missing: Proportion of days with missing data<br>
temperature: Mean daily temperature for a given year, season, and statistic (°C)<br>
period_start: Start of period for a season<br>
period_end: End of period for a season<br>
lat: coordinates of the NIWA station where the data was recorded (WSG84)<br>
lon: coordinates of the NIWA station where the data was recorded (WSG84)<br>
anomaly: mean temperature anomaly for a given year, season, and statistic (°C) over the reference_period<br>
reference_period: Anomaly reference period</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 11 Dec 2023<br />
Updated: 11 Dec 2023<br />
Warm days, trends, 1972 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153682023-12-07T03:08:32.594351+00:002023-12-07T03:07:03.460437+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115368-warm-days-trends-1972-2022/" title="Details for Warm days, trends, 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115368.395067,style=auto/90x70.png" alt="Warm days, trends, 1972 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>The trends in the number of warm days for the 30 temperature sites across New Zealand are presented from 1972 to 2022. Warm days are days with a daily maximum temperature above 25 degrees Celsius.</p>
<p>The number of warm days change from year to year in response to variable weather patterns and climate drivers. Climate models project we may experience more warm extremes in the future (IPCC, 2021). According to the WMO (2016) a decrease in cold days and nights and an increase in warm days and nights can have major implications for human health, agricultural production, and ecosystems.</p>
<p>Variables:<br>
site: NIWA monitoring site<br>
period_start: Start of the period for which the trend was assessed<br>
period_end: End of the period for which the trend was assessed<br>
p_value: P value<br>
slope, conf_low, conf_high: Rate of change per year and their lower and upper confidence intervals<br>
conf_level: confidence level (66% or 90% to match IPCC likelihood levels)<br>
z: Z score<br>
trend_method: Whether the information in this row correspond to the Sen slope or the Mann-Kendall test<br>
n: number of observations used to calculate the trend<br>
note: analysis note<br>
s, var_s, tau: Mann-Kendall trend statistics<br>
alternative: the alternative hypothesis used for the Mann-Kendall test<br>
trend_likelihood: Likelihood categories adapted from IPCC. Indicates the likelihood that a trend is increasing, decreasing, or indeterminate<br>
lat: Latitude<br>
lon: Longitude</p>
<p>References:</p>
<p>Intergovernmental Panel on Climate Change. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, & B. Zhou, Eds.). Cambridge University Press.<br>
<a href="https://www.ipcc.ch/report/ar6/wg1/">www.ipcc.ch/report/ar6/wg1/</a></p>
<p>World Meteorological Organization. (2016). Hotter, drier, wetter. Face the future. WMO. <a href="https://public.wmo.int/en/resources/world-meteorological-day/previous-world-meteorological-days/hotter-drier-wetter-face">public.wmo.int/en/resources/world-meteorological-d...</a></p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Warm days, state, 1972 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153672023-12-07T03:03:00.539812+00:002023-12-07T03:00:53.011998+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115367-warm-days-state-1972-2022/" title="Details for Warm days, state, 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115367.395066,style=auto/90x70.png" alt="Warm days, state, 1972 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This indicator provides data for the number of warm days (daily maximum temperature above 25 degrees Celsius) for the 30 sites across New Zealand from at least 1972 to 2022. </p>
<p>Global average temperatures have increased by around 1 degree Celsius in the last century, almost certainly a result of high levels of atmospheric greenhouse gases emitted from human activities. While this change may seem small, relatively small changes in our climate can have big effects on our environment (Ministry for the Environment [MfE] & Stats NZ, 2019). </p>
<p>The number of warm days change from year to year in response to variable weather patterns and climate drivers. Climate models project we may experience more warm extremes in the future (IPCC, 2021). According to the WMO (2016) a decrease in cold days and nights and an increase in warm days and nights can have major implications for human health, agricultural production, and ecosystems. </p>
<p>Variables:<br>
site: NIWA monitoring site<br>
n_days: Number of days<br>
period_start: Start of the period where the number of days were counted<br>
period_end: End of the period where the number of days were counted<br>
lat: Latitude<br>
lon: Longitude<br>
site_simple: site without macrons </p>
<p>References:<br>
Intergovernmental Panel on Climate Change. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, & B. Zhou, Eds.). Cambridge University Press.<br>
<a href="https://www.ipcc.ch/report/ar6/wg1/">www.ipcc.ch/report/ar6/wg1/</a><br>
Ministry for the Environment & Stats NZ. (2019). New Zealand’s Environmental Reporting Series: Environment Aotearoa 2019 (Publication No. ME 1416). <a href="https://www.mfe.govt.nz/publications/environmental-reporting/environment-aotearoa-2019">www.mfe.govt.nz/publications/environmental-reporti...</a><br>
World Meteorological Organization. (2016). Hotter, drier, wetter. Face the future. WMO. <a href="https://public.wmo.int/en/resources/world-meteorological-day/previous-world-meteorological-days/hotter-drier-wetter-face">public.wmo.int/en/resources/world-meteorological-d...</a></p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Growing Degree Days, state, 1972 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153792023-12-07T21:34:53.288397+00:002023-12-07T21:21:50.632730+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115379-growing-degree-days-state-1972-2022/" title="Details for Growing Degree Days, state, 1972 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115379.395081,style=auto/90x70.png" alt="Growing Degree Days, state, 1972 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This dataset measures growing degree days (GDD) at 30 sites across Aotearoa New Zealand from at least 1972 to 2022. We report counts of average annual growing degree days for each site from 2013 to 2022.. </p>
<p>Variables:<br>
sIte: Site the NIWA climate stations represent.<br>
year: Given year the total growing degrees are calculated for.<br>
base_temperature:The base temperature to calculate the total GDD. Threshold is in degrees Celsius .<br>
gowirng_degrees: The total number of degrees Celsius above a base threshold temperature for each year.<br>
Units:Units applicable for both growing degrees and the base temperature (degrees Celsius).<br>
Lat:Approximate latitude of site location.<br>
Lon: Approximate longitude of site location.</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Frost days, state,1972-2022tag:data.mfe.govt.nz,2023-12:layers:1153712023-12-07T03:57:51.849510+00:002023-12-07T03:55:26.255910+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115371-frost-days-state1972-2022/" title="Details for Frost days, state,1972-2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115371.395070,style=auto/90x70.png" alt="Frost days, state,1972-2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This indicator measures the number of frost days for 30 sites across Aotearoa New Zealand from at least 1972 to 2022. </p>
<p>The number of frost days changes from year to year in response to variable weather patterns, and their occurrence is also influenced by climate change. Climate models project we may experience fewer cold and more warm extremes in the future. Changes in the number and timing of frost days can affect agriculture, horticulture, and viticulture, for example, by damaging and destroying crops at sensitive growth stages.</p>
<p>Variables:<br>
site: Site the NIWA climate stations represent.<br>
year: Given year the number of frost days are calculated for.<br>
Frost days: Total number of frost days are year as defined when the air temperature is below zero at 1.2m off the ground.<br>
first_frost: The first day are recorded in a given year.<br>
last_frost: The last days are recorded in a given year.<br>
lat: Approximate latitude of site location.<br>
lon: Approximate longitude of site location.<br>
site_simple: Site the NIWA climate stations represent.</p>
<p>References:<br>
Hutchinson, G. K., Richards, K., & Risk, W. H. (2000). Aspects of accumulated heat patterns (growing-degree days) and pasture growth in Southland. Proceedings of the New Zealand Grassland Association, 62, 81–85. <a href="https://doi.org/10.33584/jnzg.2000.62.2396">doi.org/10.33584/jnzg.2000.62.2396</a></p>
<p>Macara, G., Nichol, D., Liley, B., & Noll, B. (2023). Ministry for the Environment Atmosphere and Climate Report 2023: Updated Datasets supplied by NIWA (NIWA Client Report No. 2023072WN). <a href="https://environment.govt.nz/publications/atmosphere-and-climate-indicators-2023-updated-datasets">environment.govt.nz/publications/atmosphere-and-cl...</a></p>
<p>Macara, G., & Tait, A. (2015). Infilling of missing climate data: temperature, rainfall and wind (NIWA Client Report No. WLG2015-33). <a href="https://data.mfe.govt.nz/document/21253-macara-g-tait-a-2015-infilling-of-missing-climate-data-for-the-2015-environmental-synthesis-report-temperature-rainfall-and-wind/">data.mfe.govt.nz/document/21253-macara-g-tait-a-20...</a></p>
<p>Mastrandrea, M. D., Field, C. B., Stocker, T. F., Edenhofer, O., Ebi, K. L., Frame, D. J., Held, H., Kriegler, E., Mach, K. J., Matschoss, P. R., Plattner, G.-K., Yohe, G. W., & Zwiers, F. W. (2010). Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties. Intergovernmental Panel on Climate Change (IPCC). <a href="https://www.ipcc.ch/site/assets/uploads/2018/05/uncertainty-guidance-note.pdf">www.ipcc.ch/site/assets/uploads/2018/05/uncertaint...</a></p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Extreme rainfall, trends, 1960 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153102023-12-02T02:12:58.414078+00:002023-12-02T02:11:11.141704+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115310-extreme-rainfall-trends-1960-2022/" title="Details for Extreme rainfall, trends, 1960 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115310.394895,style=auto/90x70.png" alt="Extreme rainfall, trends, 1960 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This dataset measures extreme rainfall at 30 sites across Aotearoa New Zealand from 1960 to 2022. We measure the maximum amount of rainfall in a single day (‘maximum precipitationl’), the number of very wet days (‘very wet days’), and the percentage of annual rainfall from very wet days (‘very wet day precipitation percent’). We present trends against the 1961 to 1990 climate normal period as well as the 1991 to 2020 climate normal period for very wet days and the percentage of annual rainfall from very wet days.</p>
<p>Variables:<br>
site: NIWA climate site<br>
reference_period: Reference period against which the number of wet days was calculated<br>
parameter: maximum precipitation (mm), very wet days, very wet day precipitation percent (%)<br>
period_start: Start of trend period<br>
period_end: End of trend period<br>
p_value: P value<br>
slope: Sen’s slope statistic of rate of change<br>
conf_low: Confidence intervals for Sen’s slope statistic<br>
conf_high: Confidence intervals for Sen’s slope statistic<br>
conf_level: Confidence level (90% or 66%) for Sen’s slope statistic<br>
z: z score<br>
trend_method: Mann-Kendall or Sen’s slope method<br>
n: Number of data points included in trend calculation<br>
note: note on data point<br>
s: Mann-Kendall test statistics<br>
var_s: Mann-Kendall test statistics<br>
tau: Mann-Kendall test statistics<br>
alternative: Alternative hypothesis<br>
trend_likelihood: Likelihood of trend direction adapted from IPCC criteria<br>
lat: Latitude<br>
lon: Longitude<br>
site_simple: site without macrons</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
Extreme rainfall, state, 1960 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153092023-12-02T02:01:47.272387+00:002023-12-02T02:00:08.111397+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115309-extreme-rainfall-state-1960-2022/" title="Details for Extreme rainfall, state, 1960 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115309.394894,style=auto/90x70.png" alt="Extreme rainfall, state, 1960 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This dataset measures extreme rainfall at 30 sites across Aotearoa New Zealand from 1960 to 2022. We measure the maximum amount of rainfall in a single day (‘maximum one-day rainfall’), the number of very wet days (‘very wet days’), and the percentage of annual rainfall from very wet days (‘rainfall due to very wet days’). We present annual values for these measures. </p>
<p>Variables:<br>
site: NIWA 30 stations<br>
period_start: start of year<br>
period_end: end of year<br>
reference _period: climate normal used to identify very wet days<br>
parameter: Parameter (maximum one-day rainfall (mm), number of very wet days, rainfall due to very wet days (%))<br>
data_value: Data value for parameter<br>
lat: Latitude<br>
lon: Longitude<br>
pretty_site_name: Pretty site name<br>
site_simple: pretty_site_name without macrons</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
Coastal sea level rise, trends, to 2020tag:data.mfe.govt.nz,2023-12:layers:1153052023-12-02T01:28:14.999138+00:002023-12-02T01:26:28.432748+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115305-coastal-sea-level-rise-trends-to-2020/" title="Details for Coastal sea level rise, trends, to 2020"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115305.394890,style=auto/90x70.png" alt="Coastal sea level rise, trends, to 2020 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This data set measures the rise in annual mean sea level relative to land referenced to the latest Intergovernmental Panel on Climate Change (IPCC) 1995 to 2014 baseline period mean sea level at four longer-term sites between 1901 and 2020:<br>
• Auckland<br>
• Wellington<br>
• Lyttelton<br>
• Dunedin<br>
and two additional sites with shorter time series:<br>
• Moturiki, Mount Maunganui (1951 to 2020)<br>
• New Plymouth (1920 to 2020).<br>
Relative sea-level rise includes the vertical land movement of the surrounding area (for example, a sinking landmass increases the relative rise in sea level).</p>
<p>We report on linear trends for sea-level rise for the full period between 1901 and 2020 for the four longer-term sites. We also publish the linear trends for these sites for two time periods: 1901 to 1960 and 1961 to 2020. For Moturiki and New Plymouth, we publish linear trends for the 1961 to 2020 period only.</p>
<p>Variables:<br>
site: The location of the tide gauge used to measure coastal sea level. Site refers to the name of nearest settlement. This dataset provides sea-level data for: (i) Auckland - Port of Auckland, Waitemata Harbour; (ii) Moturiki - Moturiki Island (Mount Maunganui); (iii) New Plymouth - Port Taranaki (New Plymouth); (iv) Wellington - Lambton Harbour (Wellington); (v) Lyttelton - Lyttelton inner harbour, and; (vi) Dunedin - Dunedin harbour basin (Otago Harbour)."<br>
trend_start_year: The first year in the annual mean sea level time series that the trend relates to.<br>
trend_end_year: The last year in the annual mean sea level time series that the trend relates to.</p>
<p>msl_trend: The estimated annual change in coastal sea level based on the trend assessment (in other words, the slope of the linear trend line). Trends were calculated using weighted linear regression models. The models used annual mean sea level data (relative the baseline) that was weighted to account for years that had less than 12 monthly average mean sea level values. Models also accounted for climatic conditions of temperature and pressure. Refer to the technical report that NIWA supplied alongside the data for more information <a href="https://environment.govt.nz/publications/update-to-2020-of-the-annual-mean-sea-level-series-and-trends-around-new-zealand/">environment.govt.nz/publications/update-to-2020-of...</a><br>
standard_deviation: The standard deviations of the estimated annual mean sea level values based on the trend assessment.<br>
units: The units of the estimated annual mean sea level values based on the trend assessment.<br>
lat: Latitude.<br>
long: Longitude</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
Coastal sea level rise, state, to 2020tag:data.mfe.govt.nz,2023-12:layers:1153042023-12-02T01:21:48.438178+00:002023-12-02T01:20:02.129851+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115304-coastal-sea-level-rise-state-to-2020/" title="Details for Coastal sea level rise, state, to 2020"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115304.394889,style=auto/90x70.png" alt="Coastal sea level rise, state, to 2020 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This data set measures the rise in annual mean sea level relative to land referenced to the latest Intergovernmental Panel on Climate Change (IPCC) 1995 to 2014 baseline period mean sea level at four longer-term sites between 1901 and 2020:<br>
• Auckland<br>
• Wellington<br>
• Lyttelton<br>
• Dunedin<br>
and two additional sites with shorter time series:<br>
• Moturiki, Mount Maunganui (1951 to 2020)<br>
• New Plymouth (1920 to 2020).<br>
Relative sea-level rise includes the vertical land movement of the surrounding area (for example, a sinking landmass increases the relative rise in sea level).</p>
<p>Variables:<br>
year_analysis: The calendar year the annual mean sea level value relates to.<br>
site: The location of the tide gauge used to measure coastal sea level. Site refers to the name of nearest settlement. This dataset provides sea-level data for: (i) Auckland - Port of Auckland, Waitemata Harbour; (ii) Moturiki - Moturiki Island (Mount Maunganui); (iii) New Plymouth - Port Taranaki (New Plymouth); (iv) Wellington - Lambton Harbour (Wellington); (v) Lyttelton - Lyttelton inner harbour, and; (vi) Dunedin - Dunedin harbour basin (Otago Harbour).<br>
baseline: The baseline period that was used to establish the respective zero mean sea level at each site. The baseline period is the latest period set by the IPCC (AR6).<br>
units: The units of the annual mean sea level value relative to the baseline.<br>
value: The calculated annual mean sea level value relative to the baseline.<br>
lat: Latitude<br>
long: longitude</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
Annual and seasonal rainfall at 30 sites, trends, 1960 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153652023-12-07T02:53:56.990196+00:002023-12-07T02:52:02.160581+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115365-annual-and-seasonal-rainfall-at-30-sites-trends-1960-2022/" title="Details for Annual and seasonal rainfall at 30 sites, trends, 1960 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115365.395064,style=auto/90x70.png" alt="Annual and seasonal rainfall at 30 sites, trends, 1960 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This dataset measures annual and seasonal rainfall trends at 30 sites across Aotearoa New Zealand from 1960 to 2022.</p>
<p>Variables<br>
site: NIWA climate site.<br>
season: Season or Annual data (combined for ease of data use)<br>
trend_likelihood: Likelihood of trend direction adapted from IPCC criteria.<br>
period_start: Start of trend period<br>
period_end: End of trend period<br>
p_value: P value<br>
slope, conf_low, conf_high, conf_level: Slope statistic to describe rate of change and relevant 90% and 66% confidence intervals.<br>
intercept: Intercept<br>
r_sqared: R squared<br>
sigma: Sigma<br>
trend_method: Trend method (Mann-Kendall or Linear model)<br>
n: Number of data points included in trend calculation.<br>
note: Linear model analysis notes<br>
s, var_s, tau, z: Mann-Kendall test statistics.<br>
alternative: Alternative hypothesis used in Mann Kendall Calculation<br>
lat: Approximate latitude location of NIWA climate stations to represent a site.<br>
lon: Approximate longitude location of NIWA climate stations to represent a site.<br>
simple_site: site without macrons</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Annual and seasonal rainfall at 30 sites, state, 1960 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153642023-12-07T02:49:21.086820+00:002023-12-07T02:47:14.812249+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115364-annual-and-seasonal-rainfall-at-30-sites-state-1960-2022/" title="Details for Annual and seasonal rainfall at 30 sites, state, 1960 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115364.395063,style=auto/90x70.png" alt="Annual and seasonal rainfall at 30 sites, state, 1960 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This dataset measures annual and seasonal rainfall at 30 sites across Aotearoa New Zealand from 1960 to 2022. We also provide data for annual and seasonal anomalies (difference from baseline) for each site from 1960 to 2022.</p>
<p>Variables:<br>
site: NIWA climate site.<br>
season: Season or Annual data (combined for ease of data use)<br>
precipitation: Rainfall in mm<br>
period_start: Start date of season or year<br>
period_end: End date of season or year<br>
pretty_site_name: pretty site name<br>
lat: Approximate latitude location of NIWA climate stations to represent a site.<br>
lon: Approximate longitude location of NIWA climate stations to represent a site.<br>
anom_1961: Anomaly against baseline 1961-1990<br>
anom_1991: Anomaly against baseline 1991-2020<br>
site_simple: pretty_site_name without macrons</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Daily rainfall at 30 sites, state, 1960 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153632023-12-07T02:56:21.193431+00:002023-12-07T02:28:11.524682+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115363-daily-rainfall-at-30-sites-state-1960-2022/" title="Details for Daily rainfall at 30 sites, state, 1960 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115363.395062,style=auto/90x70.png" alt="Daily rainfall at 30 sites, state, 1960 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 07 Dec 2023</strong><br />
<p>This dataset measures daily rainfall at 30 sites across Aotearoa New Zealand from 1960 to 2022.</p>
<p>Variables:<br>
site: location of monitoring station<br>
date: date<br>
rainfall: rainfall in mm<br>
rainfall_units: rainfall is measured in mm<br>
lat: Approximate latitude location of NIWA climate stations to represent a site.<br>
lon: Approximate longitude location of NIWA climate stations to represent a site.<br>
site_simple: site without macrons</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 07 Dec 2023<br />
Updated: 07 Dec 2023<br />
Atmospheric ozone, state, 1979 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153112023-12-02T02:17:34.205963+00:002023-12-02T02:16:11.926030+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/table/115311-atmospheric-ozone-state-1979-2022/" title="Details for Atmospheric ozone, state, 1979 - 2022"><img src="https://assets.koordinates.com/kx-dandelion-live2-public/thumbs/layers/115311/394896/small.png" alt="Atmospheric ozone, state, 1979 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This indicator measures the thickness of total column ozone in Dobson Units (DU) observed above Lauder, Otago, by day of year from 1979 to 2022. </p>
<p>Variables:<br>
date: The date of the observation in YYYY-MM-DD<br>
total_colum_ozone: The thickness of the Total Ozone Column (TOC) in Dobson Units<br>
conf_low: Provides a lower limit to the uncertainty associated with the measurement of the observation based on a 95 percent confidence interval.<br>
conf_high: Provides an upper limit to the uncertainty associated with the measurement of the observation based on a 95 percent confidence interval.</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
Extreme wind, trends, 1980 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153082023-12-02T01:57:36.656947+00:002023-12-02T01:55:54.648258+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115308-extreme-wind-trends-1980-2022/" title="Details for Extreme wind, trends, 1980 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115308.394893,style=auto/90x70.png" alt="Extreme wind, trends, 1980 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This dataset measures the strength of extreme wind at 30 sites across Aotearoa New Zealand from 1980 to 2022. For individual sites we present the trends for the annual average of the daily maximum wind gust, and the annual maximum wind gust. </p>
<p>The annual average of the daily maximum wind gust provides information on windiness, while the annual maximum wind gust provides information on the strength of extreme wind events. </p>
<p>Variables:<br>
site: NIWA climate site.<br>
statistic: Highest max gust is maximum wind speed recorded, average max gust is monthly average calculated from highest 10min daily average, days above p99 is number of days above the 99th percentile calculated for all available daily data for each site.<br>
lat: Approx. lattitude location of NIWA climate stations to represent a site.<br>
lon: Approx. longitude location of NIWA climate stations to represent a site.<br>
p value: probability of obtaining test results at least as extreme as the result actually observed<br>
slope, conf_low, conf_high, conf_level: Sen slope statistic to describe rate of change and relevant 90% and 66% confidence intervals.<br>
z: Z score<br>
method: Trend method used<br>
n: Number of data points included in trend calculation.<br>
note: additional note<br>
s, var_s, tau: Mann-Kendall test statistics.<br>
alternative:<br>
trend_likelihood: Likelihood of trend direction adapted from IPCC criteria.<br>
period_start: The start of the period the trend represents<br>
period_end: The end of the period the trend represents<br>
unit: Unit of data value (recorded wind speed).</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
Extreme wind, state, 1980 - 2022tag:data.mfe.govt.nz,2023-12:layers:1153072023-12-02T01:53:47.299324+00:002023-12-02T01:51:18.848655+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/115307-extreme-wind-state-1980-2022/" title="Details for Extreme wind, state, 1980 - 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=115307.394892,style=auto/90x70.png" alt="Extreme wind, state, 1980 - 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 02 Dec 2023</strong><br />
<p>This dataset measures the strength of extreme wind at 30 sites across Aotearoa New Zealand from 1980 to 2022. For individual sites, we provide data for the highest maximum wind gust, average maximum wind gust, and the number of days with wind gusts extreme for a location. The average of the daily maximum wind gust provides information on windiness, while the maximum wind gust provides information on the strength of extreme wind events. The number of days with a maximum wind gust that exceeds the 99th percentile daily maximum wind gust speed, which measures how often extreme wind events (measured as a gust that is extreme for that location) occur for a site. </p>
<p>Variables:<br>
site: NIWA climate site.<br>
statistic: Highest max gust is maximum wind speed recorded, average max gust is monthly average calculated from highest 10min daily average, days above p99 is number of days above the 99th percentile calculated for all available daily data for each site.<br>
month: Month representing data value. A month needed 100% of daily values to be calculated.<br>
year: Year representing data value.<br>
data_value: Calculated wind speed per given month and statistic.<br>
lat: Approx. latitude location of NIWA climate stations to represent a site.<br>
lon: Approx. longitude location of NIWA climate stations to represent a site.<br>
unit: Unit of data value (recorded wind speed or days above 99th percentile).</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 02 Dec 2023<br />
Updated: 02 Dec 2023<br />
El Nino Southern Oscillation Index, 2016 - 2020tag:data.mfe.govt.nz,2023-12:layers:1153032023-12-01T01:18:17.184370+00:002023-12-01T01:14:57.980764+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/table/115303-el-nino-southern-oscillation-index-2016-2020/" title="Details for El Nino Southern Oscillation Index, 2016 - 2020"><img src="https://assets.koordinates.com/kx-dandelion-live2-public/thumbs/layers/115303/394720/small.png" alt="El Nino Southern Oscillation Index, 2016 - 2020 thumbnail"/></a><br />
<br /><strong>Updated with new data on 01 Dec 2023</strong><br />
<p>This dataset includes the monthly average and 3-month rolling average SOI from 1876 to 2022.</p>
<p>The Southern Oscillation Index (SOI) is a measure of the El Nino Southern Oscillation (ENSO), the movement of warm equatorial water across the Pacific Ocean and the atmospheric response. The SOI measures changes in atmospheric pressures across the Pacific.</p>
<p>The Southern Oscillation Index (SOI), which measures the atmospheric component of ENSO, is calculated from the difference between the standardised surface air pressures at Tahiti and Darwin (Australia), and represents the strength of the tropical trade winds. This difference is represented by a positive or negative SOI. For example, a negative SOI represents below normal air pressure at Tahiti and/or above normal air pressure at Darwin, and weaker than normal trade winds.</p>
<p>Variables:<br>
year: Year<br>
month: Month<br>
soi: Southern Oscillation Index (SOI) monthly state<br>
soi_3mnth_mean: Three month rolling mean (right aligned) of SOI monthly state<br>
soi_phase: Flags where SOI three-month rolling mean is greater than or equal to 1 (La Niña), less than or equal to -1 (El Niño) or between -1 and 1 (Neutral)<br>
soi_simple: soi_phase without tilde</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 01 Dec 2023<br />
Updated: 01 Dec 2023<br />
Vulnerable catchmentstag:data.mfe.govt.nz,2016-12:layers:535232016-12-01T02:25:17.838830+00:002016-12-01T02:22:55.605039+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/53523-vulnerable-catchments/" title="Details for Vulnerable catchments"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=53523.160147,style=auto/90x70.png" alt="Vulnerable catchments thumbnail"/></a><br />
<br /><strong>Updated with new data on 01 Dec 2016</strong><br />
<p><em>To view the map of vulnerable catchments, click the orange 'plus’ icon above.</em> </p>
<p>The Government has committed $100 million over 10 years through the Freshwater Improvement Fund to support initiatives which improve the management of fresh water within quality and quantity limits. </p>
<p>The fund focuses on projects that will make a significant and measurable improvement to rivers, lakes, streams, groundwater and wetlands, with priority on the most vulnerable catchments. </p>
<p>This dataset shows catchments that have been classified as vulnerable (as defined by the criteria for the Freshwater Improvement Fund).</p>
From: <a href="https://data.mfe.govt.nz/group/freshwater-directorate/" title="Profile for Freshwater">Freshwater</a><br />
Added: 01 Dec 2016<br />
Updated: 01 Dec 2016<br />
Particulate matter exceedences 2006–2013tag:data.mfe.govt.nz,2015-12:layers:526682015-12-09T00:40:10.608410+00:002015-12-08T23:49:05.710182+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52668-particulate-matter-exceedences-20062013/" title="Details for Particulate matter exceedences 2006–2013"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52668.149251,style=auto/90x70.png" alt="Particulate matter exceedences 2006–2013 thumbnail"/></a><br />
<br /><strong>Updated with new data on 08 Dec 2015</strong><br />
<p>"Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. The main sources are burning wood or coal for home heating, and sea spray. PM10 is of particular concern because it is found in high concentrations in some areas. It can damage health and is associated with effects ranging from respiratory irritation to some forms of cancer.</p>
<p>This dataset records the number of times that concentrations of PM10 exceed the daily standard for years 2006 to 2013. Field names are Yr_.</p>
<p>Data is broken down by airshed.</p>
<p>This dataset relates to the ""PM10 daily concentrations"" measure on the Environmental Indicators, Te taiao Aotearoa website. </p>
<p>Geometry: Points</p>
<p>Units: No. of days"</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 09 Dec 2015<br />
Updated: 08 Dec 2015<br />
Particulate matter concentrations 2006–2013tag:data.mfe.govt.nz,2015-12:layers:526672015-12-09T00:40:06.625538+00:002015-12-08T23:48:35.449225+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52667-particulate-matter-concentrations-20062013/" title="Details for Particulate matter concentrations 2006–2013"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52667.149250,style=auto/90x70.png" alt="Particulate matter concentrations 2006–2013 thumbnail"/></a><br />
<br /><strong>Updated with new data on 08 Dec 2015</strong><br />
<p>"Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. PM10 can be emitted from the combustion of fuels, such as wood and coal (eg from home heating and industry), and petrol and diesel (from vehicles). Natural PM10 includes sea salt, dust, pollen, smoke (from bush fires), and volcanic ash. Nationally, burning wood or coal for home heating is the main human-made source of PM10. PM10 is of particular concern because it is found in high concentrations in some areas and can damage health. It is associated with effects ranging from respiratory irritation to some forms of cancer.</p>
<p>This dataset shows annual average PM10 concentrations for years 2006 to 2013. Field names are PM10_.<br>
This dataset also shows describes whether the PM10 trend, ie, whether concentrations have shown statisticsally significantly increases, decreases, or an indeterminate trend.</p>
<p>Data is broken down by monitoring site.</p>
<p>This dataset relates to the ""Annual average PM10 concentrations in towns and cities"" measure on the Environmental Indicators, Te taiao Aotearoa website. </p>
<p>Geometry: Points</p>
<p>Units: micrograms/m3"</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 09 Dec 2015<br />
Updated: 08 Dec 2015<br />
Gas and particulate matter emissions 2001–2013tag:data.mfe.govt.nz,2015-12:layers:526662015-12-09T00:52:04.257275+00:002015-12-08T23:47:52.807509+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52666-gas-and-particulate-matter-emissions-20012013/" title="Details for Gas and particulate matter emissions 2001–2013"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52666.149249,style=auto/90x70.png" alt="Gas and particulate matter emissions 2001–2013 thumbnail"/></a><br />
<br /><strong>Updated with new data on 08 Dec 2015</strong><br />
<p>"This dataset shows estimated annual emissions for different pollutants (tonnes per square kilometre): Particulate matter 10 micrometres or less in diameter (PM10); Particulate matter 2.5 micrometres or less in diameter (PM2.5); Sulphur dioxide; Sulphur Oxides (SOx); Carbon Monoxide (CO), and; Nitrogen Oxides (NOx).</p>
<p>Measures of:<br>
- PM10 and PM2.5 are from home heating<br>
- SOx are from Industrial sources<br>
- CO and NOx are from road motor vehicles.</p>
<p>Data for PM10 (PM10_t_km_yr_) and PM2.5 (PM25_t_km_yr_) are provided for 2006 and 2013, including percent difference (PM10_PC_difference) and (PM25_PC_difference).</p>
<p>Data for CO (MV_CO_t_km_yr_) and NOx (MV_NOx_t_km_yr_) are provided for 2001 and 2013, include percent difference (MV_CO_PC_diff_01_13) and NOx (MV_NOx_PC_diff_01_13).</p>
<p>Data for SOx is for 2013 only (I_SOx_t_km_yr_2013).</p>
<p>Data is broken down by territorial authority area.</p>
<p>This dataset relates to various Environmental measurse on the Environmental Indicators, Te taiao Aotearoa website: home heating; road motor vehicle emissions, and industrial emissions.</p>
<p>Geometry: Polygons</p>
<p>Units: t/km/yr"</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 09 Dec 2015<br />
Updated: 08 Dec 2015<br />
Landslip Density from Cyclone Gabrielle 2023tag:data.mfe.govt.nz,2023-09:layers:1145402023-09-11T22:52:01.171928+00:002023-09-11T21:49:59.659019+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/114540-landslip-density-from-cyclone-gabrielle-2023/" title="Details for Landslip Density from Cyclone Gabrielle 2023"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=114540.390674,style=3866.1695682089/90x70.png" alt="Landslip Density from Cyclone Gabrielle 2023 thumbnail"/></a><br />
<br /><strong>Updated with new data on 11 Sep 2023</strong><br />
<p>This GIS raster layer has been derived from cloud free mosaics of Sentinel 2 tiles for the East Coast of the North Island from before and after Cyclone Gabrielle in 2023.</p>
<p>Cyclone Gabrielle was a severe tropical cyclone that occurred in February 2023. It caused severe landsliding in several zones along the east coast of the North Island. As part of the cyclone response, the Ministry for the Environment contracted Manaaki Whenua – Landcare Research to do a rapid assessment of the damage caused by landsliding on hill country. This raster layer shows the bare ground density in affected regions (Tairawhiti, Hawkes Bay, Wairarapa coast). The density was derived from the bare ground detected layer.</p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 11 Sep 2023<br />
Updated: 11 Sep 2023<br />
Stock Exclusion Upper Taieri Scroll Plain, Otagotag:data.mfe.govt.nz,2023-08:layers:1143412023-08-21T20:54:00.280973+00:002023-08-31T21:31:43.445012+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/114341-stock-exclusion-upper-taieri-scroll-plain-otago/" title="Details for Stock Exclusion Upper Taieri Scroll Plain, Otago"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=114341.390078,style=auto/90x70.png" alt="Stock Exclusion Upper Taieri Scroll Plain, Otago thumbnail"/></a><br />
<br /><strong>Updated with new data on 31 Aug 2023</strong><br />
<p>As part of recent changes to the Resource Management (Stock Exclusion) Regulations 2020 (the regulations), the following requirements in the regulations will no longer apply to the geographic area identified as the Upper Taieri Scroll Plain:<br>
• excluding non-intensively grazed beef cattle and deer from lakes and wide rivers on low slope land (regulations 14 and 15); and<br>
• excluding all stock from natural wetlands (regulations 16, 17 and 18).<br>
The Upper Taieri Scroll Plain is an area of regionally significant wetlands in Otago. The size and complexity of these wetlands mean they are unique and particularly challenging for excluding stock.<br>
The above exception has been provided on the basis that Otago Regional Council will implement suitable provisions in its regional plan for managing grazing within the wetlands, as soon as reasonably practical and no later than 1 July 2025.<br>
Other requirements to exclude stock and manage wetlands will continue to apply in respect of the wetlands. This includes existing direction in the National Policy Statement for Freshwater Management 2020 and National Environmental Standards for Freshwater 2020 (see wetlands implementation guidance <a href="https://environment.govt.nz/acts-and-regulations/freshwater-implementation-guidance/wetlands/">environment.govt.nz/acts-and-regulations/freshwate...</a>). </p>
<p>The map shows the area of land in the Upper Taieri Scroll Plain that relate to this exception in the Regulations.</p>
From: <a href="https://data.mfe.govt.nz/group/freshwater-directorate/" title="Profile for Freshwater">Freshwater</a><br />
Added: 21 Aug 2023<br />
Updated: 31 Aug 2023<br />
Stock Exclusion Low Slope Land 2022tag:data.mfe.govt.nz,2022-11:layers:1111502022-11-28T03:46:53.240155+00:002022-11-28T03:54:16.517247+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/111150-stock-exclusion-low-slope-land-2022/" title="Details for Stock Exclusion Low Slope Land 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=111150.375565,style=auto/90x70.png" alt="Stock Exclusion Low Slope Land 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 28 Nov 2022</strong><br />
<p>The Stock Exclusion Low Slope Land 2022 layer identifies areas of "Low Slope Land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. The layer shows land with a local slope of less than or equal to 5 degrees where beef cattle and deer are required to be excluded from waterways. Areas of lakes, ponds, settlements, urban parkland, transport infrastructure and estuarine open water, as defined in Land Cover Database 5, are excluded. Areas over 500m in altitude are also excluded. This layer replaces the Stock Exclusion Low Slope Land 2020 layer. Please refer to <a href="https://data.mfe.govt.nz/layer/114341">data.mfe.govt.nz/layer/114341</a> for areas that are not subject to these requirements.</p>
From: <a href="https://data.mfe.govt.nz/group/freshwater-directorate/" title="Profile for Freshwater">Freshwater</a><br />
Added: 28 Nov 2022<br />
Updated: 28 Nov 2022<br />
LUCAS NZ Land Use Map 1990 2008 2012 2016 v011tag:data.mfe.govt.nz,2012-07:layers:523752012-07-22T20:35:21.459218+00:002022-09-16T04:11:03.978580+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52375-lucas-nz-land-use-map-1990-2008-2012-2016-v011/" title="Details for LUCAS NZ Land Use Map 1990 2008 2012 2016 v011"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52375.371151,style=3570.1680240454/90x70.png" alt="LUCAS NZ Land Use Map 1990 2008 2012 2016 v011 thumbnail"/></a><br />
<br /><strong>Updated with new data on 16 Sep 2022</strong><br />
<p>The LUCAS NZ Land Use Map 2016 v011 is composed of New Zealand-wide land use classifications (12) nominally at 1 January 1990, 1 January 2008, 31 December 2012 and 31 December 2016 (known as "1990", "2008", "2012" and "2016"). These date boundaries were dictated by the First and Second Commitment Periods of the Kyoto Protocol. The layer can therefore be used to create either a 1990, 2008, 2012 or 2016 land use map depending on what field is symbolised.</p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 22 Jul 2012<br />
Updated: 16 Sep 2022<br />
River Environment Classification Catchment Order 4 (2010)tag:data.mfe.govt.nz,2010-10:layers:523642010-10-04T15:56:09.637779+00:002011-10-17T09:44:21.274545+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52364-river-environment-classification-catchment-order-4-2010/" title="Details for River Environment Classification Catchment Order 4 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52364.141607,style=auto/90x70.png" alt="River Environment Classification Catchment Order 4 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="https://data.mfe.govt.nz/document/123-rec-user-guide-2010/">data.mfe.govt.nz/document/123-rec-user-guide-2010/</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 3 (2010)tag:data.mfe.govt.nz,2010-10:layers:523702010-10-04T15:55:17.531595+00:002011-10-17T09:56:17.582161+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52370-river-environment-classification-catchment-order-3-2010/" title="Details for River Environment Classification Catchment Order 3 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52370.141613,style=auto/90x70.png" alt="River Environment Classification Catchment Order 3 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="https://data.mfe.govt.nz/document/123-rec-user-guide-2010/">data.mfe.govt.nz/document/123-rec-user-guide-2010/</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 1 (2010)tag:data.mfe.govt.nz,2010-10:layers:523722010-10-04T15:54:32.779309+00:002011-10-17T09:56:17.690246+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52372-river-environment-classification-catchment-order-1-2010/" title="Details for River Environment Classification Catchment Order 1 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52372.141615,style=auto/90x70.png" alt="River Environment Classification Catchment Order 1 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="https://data.mfe.govt.nz/document/123-rec-user-guide-2010/">data.mfe.govt.nz/document/123-rec-user-guide-2010/</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a> .</p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 5 (2010)tag:data.mfe.govt.nz,2010-10:layers:523632010-10-04T15:56:33.365033+00:002011-10-17T09:44:20.261547+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52363-river-environment-classification-catchment-order-5-2010/" title="Details for River Environment Classification Catchment Order 5 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52363.141606,style=auto/90x70.png" alt="River Environment Classification Catchment Order 5 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="https://data.mfe.govt.nz/document/123-rec-user-guide-2010/">data.mfe.govt.nz/document/123-rec-user-guide-2010/</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 2 (2010)tag:data.mfe.govt.nz,2010-10:layers:523712010-10-04T15:55:00.765211+00:002011-10-17T09:56:17.669628+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52371-river-environment-classification-catchment-order-2-2010/" title="Details for River Environment Classification Catchment Order 2 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52371.141614,style=auto/90x70.png" alt="River Environment Classification Catchment Order 2 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="http://www.mfe.govt.nz/environmental-reporting/about/tools-guidelines/classifications/freshwater/">www.mfe.govt.nz/environmental-reporting/about/tool...</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a> .</p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 6 (2010)tag:data.mfe.govt.nz,2010-10:layers:523622010-10-04T15:56:51.850828+00:002011-10-17T09:44:19.343142+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52362-river-environment-classification-catchment-order-6-2010/" title="Details for River Environment Classification Catchment Order 6 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52362.141605,style=auto/90x70.png" alt="River Environment Classification Catchment Order 6 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="http://www.mfe.govt.nz/environmental-reporting/about/tools-guidelines/classifications/freshwater/">www.mfe.govt.nz/environmental-reporting/about/tool...</a>).</p>
<p>Additional metadata, and the River Environment Classification can be found at <a href="http://www.mfe.govt.nz/sites/default/files/environmental-reporting/about-environmental-reporting/classification-systems/rec-user-guide-2010.pdf">www.mfe.govt.nz/sites/default/files/environmental-...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 7 (2010)tag:data.mfe.govt.nz,2010-10:layers:523612010-10-04T15:57:26.678509+00:002011-10-17T09:44:18.782486+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52361-river-environment-classification-catchment-order-7-2010/" title="Details for River Environment Classification Catchment Order 7 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52361.141604,style=auto/90x70.png" alt="River Environment Classification Catchment Order 7 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="https://data.mfe.govt.nz/document/123-rec-user-guide-2010/">data.mfe.govt.nz/document/123-rec-user-guide-2010/</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification Catchment Order 8 (2010)tag:data.mfe.govt.nz,2010-10:layers:523602010-10-04T15:57:49.326976+00:002011-10-17T09:44:18.002187+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/52360-river-environment-classification-catchment-order-8-2010/" title="Details for River Environment Classification Catchment Order 8 (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=52360.141603,style=auto/90x70.png" alt="River Environment Classification Catchment Order 8 (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 17 Oct 2011</strong><br />
<p>The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide <a href="https://data.mfe.govt.nz/document/123-rec-user-guide-2010/">data.mfe.govt.nz/document/123-rec-user-guide-2010/</a> ). </p>
<p>Additional metadata can be found at <a href="http://www.mfe.govt.nz/publications/ser/metadata/env-class/page19.html">www.mfe.govt.nz/publications/ser/metadata/env-clas...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 04 Oct 2010<br />
Updated: 17 Oct 2011<br />
River Environment Classification New Zealand (2010)tag:data.mfe.govt.nz,2013-12:layers:518452013-12-23T23:19:23.869497+00:002013-12-23T21:03:25.225204+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/51845-river-environment-classification-new-zealand-2010/" title="Details for River Environment Classification New Zealand (2010)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=51845.134958,style=auto/90x70.png" alt="River Environment Classification New Zealand (2010) thumbnail"/></a><br />
<br /><strong>Updated with new data on 23 Dec 2013</strong><br />
<p>The New Zealand River Environment Classification (REC) organises information about the physical characteristics of New Zealand's rivers. Individual river sections are mapped according to physical factors such as climate, source of flow for the river water, topography, and geology, and catchment land cover eg, forest, pasture or urban. Sections of river that have similar ecological characteristics can then be grouped together, no matter where they are. </p>
<p>This information is mapped for New Zealand's entire river network - over 425,000 kilometres of river. Different types of rivers respond differently to the pressures placed on them - the REC can be used to highlight the most appropriate management tools and approaches to reduce these pressures for each river type. Information from the classification is used to develop policy, assess the environment, and report on the quality of river water. </p>
<p>Stream order is the numerical position of a tributary or section of a river within the entire network. Headwater streams are assigned a stream order of 1. When two tributaries of the same stream order meet, the order increments by one for the next section downstream. However, if two sections meet where one section has higher order than the other, the next section downstream has the same order as the highest upstream section. </p>
<p>The User Guide can be found at <a href="https://data.mfe.govt.nz/document/123-river-environment-classification-user-guide-2010/">data.mfe.govt.nz/document/123-river-environment-cl...</a></p>
From: <a href="https://data.mfe.govt.nz/group/data-management/" title="Profile for MfE Data Management">MfE Data Management</a><br />
Added: 23 Dec 2013<br />
Updated: 23 Dec 2013<br />
Stock Exclusion Low Slope Land 2020 (DEPRECATED)tag:data.mfe.govt.nz,2020-08:layers:1048272020-08-04T21:38:15.049814+00:002020-08-04T21:34:15.794498+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/104827-stock-exclusion-low-slope-land-2020-deprecated/" title="Details for Stock Exclusion Low Slope Land 2020 (DEPRECATED)"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=104827.336506,style=auto/90x70.png" alt="Stock Exclusion Low Slope Land 2020 (DEPRECATED) thumbnail"/></a><br />
<br /><strong>Updated with new data on 04 Aug 2020</strong><br />
<p>The Stock Exclusion Low Slope Land 2020 layer identified areas of "low slope land" as defined in the Resource Management (Stock Exclusion) Regulations 2020 when the regulation was first gazetted in 2020. In December 2022 the dataset was superseded by the Stock Exclusion Low Slope Land 2022 layer.</p>
<p>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.</p>
From: <a href="https://data.mfe.govt.nz/group/freshwater-directorate/" title="Profile for Freshwater">Freshwater</a><br />
Added: 04 Aug 2020<br />
Updated: 04 Aug 2020<br />
Stock Exclusion Medium Slope Land 2022tag:data.mfe.govt.nz,2022-11:layers:1111512022-11-28T04:07:23.263913+00:002022-11-28T03:56:44.754156+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/111151-stock-exclusion-medium-slope-land-2022/" title="Details for Stock Exclusion Medium Slope Land 2022"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=111151.375566,style=auto/90x70.png" alt="Stock Exclusion Medium Slope Land 2022 thumbnail"/></a><br />
<br /><strong>Updated with new data on 28 Nov 2022</strong><br />
<p>The Stock Exclusion Medium Slope Land 2022 layer identifies areas with a slope of between 5 and 10 degrees below 500m in altitude where excluding stock from waterways is likely to be practical and advisable. This layer has been created using the same method used to create the Stock Exclusion Low Slope Land 2022 layer which represents "Low Slope Land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. This layer is intended to be used in conjunction with the Stock Exclusion Low Slope Land 2022 layer to support planning for stock exclusion.</p>
From: <a href="https://data.mfe.govt.nz/group/freshwater-directorate/" title="Profile for Freshwater">Freshwater</a><br />
Added: 28 Nov 2022<br />
Updated: 28 Nov 2022<br />
Coastal and estaurine water quality, state, 2016-2020tag:data.mfe.govt.nz,2022-11:layers:1111382022-11-23T03:54:02.643148+00:002022-11-23T03:23:00.756343+00:00
<a class="kxThumbnail" href="https://data.mfe.govt.nz/layer/111138-coastal-and-estaurine-water-quality-state-2016-2020/" title="Details for Coastal and estaurine water quality, state, 2016-2020"><img src="//tiles-cdn.koordinates.com/services/tiles/v4/thumbnail/layer=111138.375369,style=auto/90x70.png" alt="Coastal and estaurine water quality, state, 2016-2020 thumbnail"/></a><br />
<br /><strong>Updated with new data on 23 Nov 2022</strong><br />
<p>This data set reports on state for the period 2016 to 2020.</p>
<p>Coastal and estuarine ecosystems are affected by changes in water quality.</p>
<p><strong>Nutrients<br>
</strong>The two main nutrients of concern in coastal and estuarine ecosystems are nitrogen and, to a lesser degree, phosphorus. An overload of nutrients (eutrophication) can lead to algal blooms that can kill marine life by depleting oxygen levels. Some bloom-forming algal species also contain toxins that can harm marine life, and can pass through food chains to humans (for example, via shellfish poisoning).</p>
<p><strong>Microbiological<br>
</strong>Abundant <em>Enterococci _and faecal coliform bacteria indicate the possible presence of human faecal pathogens in coastal waters and represent the risk of infectious disease. Chlorophyll-_a</em> is a measure of phytoplankton biomass and is a primary indicator of eutrophication.</p>
<p><strong>Optical<br>
</strong>High suspended sediment concentrations are associated with estuarine and coastal sedimentation, reduced light levels in benthic (seabed) environments, and reduced feeding rates and health of estuarine and coastal animals (Lowe et al., 2015). Visual clarity and turbidity are monitored because light affects primary production, plant and animal distributions and ecological health, aesthetic quality, and recreational values (Davies-Colley et al., 2003).</p>
<p><strong>Physico-chemical</strong><br>
Dissolved oxygen is fundamental to supporting marine life. Low levels of dissolved oxygen can have adverse effects on aquatic fauna, from reduced growth rates to death from lack of oxygen (Tomasetti & Gobler, 2020). Decreased pH results from the absorption of CO2 from the atmosphere by seawater but can also reflect local processes caused by eutrophication (Cai et al., 2011; Fraser et al., 2021). Changes in the pH of seawater can have harmful effects on marine life, impacting chemical communication, reproduction, and growth. The building of skeletons in marine organisms is particularly sensitive to acidity, so acidification (lower pH) of sea waters can be harmful for organisms such as shellfish and corals (Fabry et al., 2008). Salinity provides information on the freshwater content of coastal waters. Water temperature is important as it controls biochemical processes and affects the balance of parameters such as dissolved oxygen levels. As a result, seawater temperature determines distributions of many marine plants and animals (Kleisner et al., 2017).</p>
<p>Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency. Dataset used to develop the "Coastal and estuarine water quality, trends" indicator (available at <a href="https://www.stats.govt.nz/indicators/coastal-and-estuarine-water-quality">Coastal and estuarine water quality | Stats NZ</a>).</p>
From: <a href="https://data.mfe.govt.nz/group/environmental-reporting/" title="Profile for Environmental Reporting">Environmental Reporting</a><br />
Added: 23 Nov 2022<br />
Updated: 23 Nov 2022<br />