Global and New Zealand temperatures, five year running average (1911–2010)

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Creative Commons Attribution 3.0 New Zealand

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2088
24
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Temperature change is influenced by changes in atmospheric composition that result from greenhouse gas emissions. It is also linked to atmospheric circulation changes (eg the El Niño southern oscillation). It can have a significant effect on agriculture, energy demand, and recreation. The primary aim of the datasets is to provide a tool to show average New Zealand and global temperatures compared to a reference temperature in order to compare this with expected global climate change in response to mechanisms such as atmospheric carbon dioxide, volcanic aerosols, and solar irradiance changes. Further information can be found in:
Tait, A, Macara, G, & Paul, V. (2014) Preparation of climate datasets for the 2015 Environmental Synthesis Report: Temperature, Rainfall, Wind, Sunshine and Soil Moisture. Prepared for Ministry for the Environment. Available at data.mfe.govt.nz/x/Fwn9AL on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "National temperature time series" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52573
Data type Table
Row count 929
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Trends in global production of ozone depleting substances, 1986–2015

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Creative Commons Attribution 4.0 International

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2115
2
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

Ozone in the stratosphere is destroyed in a catalytic reaction with a range of chemical species (mainly CFCs) that are emitted through human activities. The emission of these chemicals is closely related to the amount of the chemicals that are produced. The Montreal protocol helps the UNEP collect information on the production of ozone depleting substances.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 89450
Data type Table
Row count 9
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Lightning Trends, 2001–2016

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Creative Commons Attribution 4.0 International

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2119
4
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

Lightning is the discharge of electricity from thunderstorms and can occur within a cloud, between clouds, or between a cloud and the ground. By international standards, lightning does not occur frequently around New Zealand. However, ground strikes can injure or kill people and livestock, damage property and infrastructure, and, although rarely in New Zealand, spark forest fires. Thunderstorms are often associated with other severe weather events, such as strong wind gusts and hail. Thunderstorms may increase in frequency and intensity with climate change.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 89427
Data type Table
Row count 1
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual and Daily column ozone Dobson spectrophotometer measurements (1987–2013)

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Creative Commons Attribution 3.0 New Zealand

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2107
8
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Ozone (O3) is a gas that is of interest in two regions of Earth’s atmosphere – at ground level and in the upper atmosphere (stratosphere). Stratospheric ozone absorbs ultraviolet (UV) rays from the sun and protects Earth from harmful levels of UV. Exposure to these UV rays has been linked to skin cancer. Monitoring variations in stratospheric ozone concentrations is important in New Zealand as we have high rates of skin cancers.
This ozone data for Lauder was taken with Dobson spectrophotometer (72) from 1987 to 2013. Measurements are in Dobson units (DU). One DU represents the amount of ozone molecules needed to produce a 0.01mm layer of pure ozone. These datasets contain annual measurements by DOY and DOY statistics of mean, standard deviation, minimum and maximum.
Further information can be found in:
Liley, B, Querel, B, & McKenzie, R (2014). Measurements of Ozone and UV for New Zealand. Prepared for the Ministry for the Environment, Wellington. Available at data.mfe.govt.nz/x/LoPyPo on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "Ozone concentrations" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52562
Data type Table
Row count 6389
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Estimated global production of major ozone-depleting substances (1986–2013)

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Creative Commons Attribution 3.0 New Zealand

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2120
11
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Ozone in the stratosphere is destroyed in a catalytic reaction with a range of chemical species (mainly CFCs) that are emitted through human activities. The emission of these ozone-depleting substances (ODSs) is closely related to the amount of the chemicals that are produced. The ozone layer absorbs most of the sun's harmful ultraviolet (UV) radiation. Monitoring global ODS production helps us track how much pressure these substances put on the atmosphere.
In accordance with article 7 of the Montreal Protocol – Parties are required to report data on the production, import and export of specified ozone depleting substances covered in the original protocol and the amendments ratified by that Party. The United Nations Environment Programme (UNEP) Ozone Secretariat data centre is the source of the information reported.
This dataset relates to the "global emissions of ozone-depleting substances" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52566
Data type Table
Row count 4428
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Melanoma registration rates, by age group, 1996–2015

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Creative Commons Attribution 4.0 International

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2109
5
Added
14 Oct 2017

This dataset was first added to MfE Data Service on 14 Oct 2017.

This csv reports melanoma registration rates, per 100,000 population, by age groups (eg 0–24 years old, 25–44 years old).
New Zealand and Australia have the world’s highest rates of melanoma, the most serious type of skin cancer. Melanoma is mainly caused by exposure to ultraviolet (UV) light, usually from the sun. New Zealand has naturally high UV levels, especially during summer.
The risk of developing melanoma is affected by factors such as skin colour and type, family history, and the amount of sun exposure. Melanoma can affect people at any age, but the chance of developing a melanoma increases with age. We report on age-standardised rates of melanoma to account for the increasing proportion of older people in our population.
Our data on melanoma registrations come from the New Zealand Cancer Registry and the Ministry of Health's Mortality Collection. The passing of the Cancer Registry Act 1993 and Cancer Registry Regulations 1994 led to significant improvements in data quality and coverage (Ministry of Health, 2013). A sharp increase in registrations after 1993 is likely to have been related to these legislative and regulatory changes; for this reason we have only analysed data from 1996.
2014–15 data are provisional and subject to change.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 89459
Data type Table
Row count 360
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Trends in annual maximum one–day rainfall (rx1day), 1960–2016

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Creative Commons Attribution 4.0 International

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2109
6
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

Trends in annual maximum one-day rainfall (rx1day), 1960–2016.
Intense rainfall can result in flash floods or land slips that damage homes and property, disrupt transportation, and endanger lives. It can also interfere with recreation and increase erosion. Changes to the frequency of intense rainfall events can alter biodiversity.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 89433
Data type Table
Row count 30
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ski field operating days (2003–14)

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Creative Commons Attribution 3.0 New Zealand

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2076
25
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

The climate can affect ski-field operations. Warm temperatures can result in less snow or shorter ski seasons. Extreme weather events such as storms can close fields. Monitoring the season length of ski fields and the percentage of days they are closed may indicate the extent of any effects of climate change. We assessed the season length and percentage of days closed for three South Island ski fields from 2003 to 2014.
This dataset relates to the "Ski-field operating days" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52571
Data type Table
Row count 180
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual ground and sea lightning strikes (2001–14)

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Creative Commons Attribution 3.0 New Zealand

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2082
15
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Lightning is the discharge of electricity from thunderstorms. Ground strikes can cause significant damage to property and infrastructure, and injure or kill people and livestock. Lightning is often associated with other severe weather events, such as strong wind gusts. Thunderstorms may increase in frequency and intensity with climate change.
This dataset relates to the "Lightning" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52587
Data type Table
Row count 15
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of warm days (above 25⁰ C) for selected sites (1975–2013)

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Creative Commons Attribution 3.0 New Zealand

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2004
19
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

The number of frost and hot days we experience each year can change in response to many climate factors, such as the warming pattern induced by El Niño. These numbers indicate the variations in our climate and are an important consideration in agriculture. They also affect our behaviour, for example, what we do to keep safe on icy roads or whether to use air conditioning to keep cool.
further information can be found in:
Tait, A, Macara, G, & Paul, V. (2014) Preparation of climate datasets for the 2015 Environmental Synthesis Report: Temperature, Rainfall, Wind, Sunshine and Soil Moisture. Prepared for Ministry for the Environment. Available at data.mfe.govt.nz/x/Fwn9AL on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "Frost and hot days" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52576
Data type Table
Row count 12194
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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