Annual growing degree days

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Creative Commons Attribution 3.0 New Zealand

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1753
48
Added
01 Oct 2015

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

Growing degree days (GDD) is the measure of how much warmth is available for plant and insect growth during a growing season. GDD information helps horticulturists and farmers predict plant growth and stock development. The GDD value changes in response to climate variations, such as El Niño. Long-term changes in GDD are a measure of changing climate conditions.
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 "Growing degree days" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52574
Data type Table
Row count 12168
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand's greenhouse gas emissions (1990–2013)

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Creative Commons Attribution 3.0 New Zealand

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1374
30
Added
01 Oct 2015

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

Our greenhouse gas (GHG) emissions are small compared with those of other developed nations, but we have committed to being part of the global response to climate change. New Zealand's greenhouse gas inventory is an annual report on all of the country’s human-induced GHG emissions and removals of GHG emissions. The inventory is produced as part of our obligations under the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol.
Some GHG emissions are removed, primarily by forests. Net emissions represent the total amount of gas contributed to the atmosphere but gross emmissions are also provided for New Zealand.
This dataset relates to the "New Zealand's greenhouse gas emissions" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52565
Data type Table
Row count 24
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average Interdecadal Pacific Oscillation Index (1871–2013)

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Creative Commons Attribution 3.0 New Zealand

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1284
34
Added
01 Oct 2015

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

The Interdecadal Pacific Oscillation (IPO) describes the long-term oscillation of the Pacific Ocean. The Pacific climate oscillation causes climate fluctuations that can influence New Zealand’s climate. For example, it can affect the strength and frequency of El Niño and La Niña events. In New Zealand, the positive phase of the IPO is linked to stronger west to southwest winds and more rain to the west. Such climate phases can impact on our environment, industries, and recreational activities.
The IPO is similar, and nearly equivalent, to the Pacific Decadal Oscillation (PDO). The PDO is a predictor of the impact of the climate oscillation in the northern Pacific.
This dataset relates to the "Inter-decadal Pacific oscillation" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52591
Data type Table
Row count 143
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Influenza hospital discharges (2000–13)

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Creative Commons Attribution 3.0 New Zealand

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1284
30
Added
01 Oct 2015

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

Influenza is a potentially life-threatening virus that spreads quickly from person to person. It is a significant public health issue in this country, with 10–20 percent of New Zealanders infected every year. While influenza outbreaks can occur all year round, rates peak in winter and spring. This is because the virus can survive longer outside the body in periods of colder weather and low absolute humidity (dry conditions).
This dataset relates to the "Influenza" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52553
Data type Table
Row count 28
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average temperature anomaly (1909–2013)

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Creative Commons Attribution 3.0 New Zealand

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1274
32
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 purpose of the dataset is to provide a long time series which represents the nation-scale state of climate with respect to temperature in New Zealand.
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 52572
Data type Table
Row count 1793
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual maximum three-day rainfall totals (1950–2013

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Creative Commons Attribution 3.0 New Zealand

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1192
36
Added
01 Oct 2015

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

A three-day rainfall measurement covers a single sustained rain event or a series of shorter events over a three-day period. Such measurements help us understand and prepare for flooding or rain-induced slips that could cause damage.
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 "Annual maximum three-day rainfall" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52580
Data type Table
Row count 1920
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Daily peak UV index values, Invercargill, Leigh, Lauder, Paraparaumu and Christchurch (1981–2014)

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Creative Commons Attribution 3.0 New Zealand

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861
14
Added
01 Oct 2015

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

Too much exposure to the sun's ultraviolet (UV) radiation can cause skin cancer. Ozone absorbs some UV radiation, and UV levels can vary in relation to changes in atmospheric ozone. Monitoring UV levels can help us understand current skin cancer risk.
The Lauder spectroradiometer (UVM dataset) data are used to assure the reliability of broad-band erythermal UV (RB dataset) from five sites. Measurements supplied are daily peak, noon-time mean, and total daily dose of erythemal (skin-reddening) UV.
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 "UV intensity" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52584
Data type Table
Row count 60760
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

El Niño Southern Oscillation Index (1909–2013)

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Creative Commons Attribution 3.0 New Zealand

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721
35
Added
01 Oct 2015

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

El Niño Southern Oscillation (ENSO). It is an important predictor of how tropical oceans and climate might influence New Zealand’s climate. Being able to predict the timing and intensity of an El Niño or La Niña climate phase is important in predicting and preparing for extreme climatic conditions, such as strong winds, heavy rain, or drought. Such extreme conditions can impact on our environment, industries, and recreational activities. ENSO is commonly measured using the Southern Oscillation Index (SOI).
In New Zealand, an El Niño phase can cause colder winters. In summer it can result in more rain in the west and drought in the east. A La Niña phase can cause warmer temperatures, more rain in the north-east, and less rain in the south and south-west.
This dataset relates to the "El Niño Southern Oscillation" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52589
Data type Table
Row count 1729
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Daily peak, noon, and SED UV (UVM dataset)

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Creative Commons Attribution 3.0 New Zealand

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719
24
Added
01 Oct 2015

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

Too much exposure to the sun's ultraviolet (UV) radiation can cause skin cancer. Ozone absorbs some UV radiation, and UV levels can vary in relation to changes in atmospheric ozone. Monitoring UV levels can help us understand current skin cancer risk.
The most reliable data on solar UV irradiance in New Zealand are from spectroradiometers developed and operated by NIWA at Lauder since summer 1989/90. The dataset supplied begins in 1993, and measurements includee daily peak, noon-time mean, and total daily dose of erythemal (skin-reddening) UV.
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 "UV intensity" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52583
Data type Table
Row count 7530
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Water physical stocks for selected measures (1995–2014)

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Creative Commons Attribution 3.0 New Zealand

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651
16
Added
15 Oct 2015

This dataset was first added to MfE Data Service on 15 Oct 2015.

New Zealand is a water-rich country. Water is found in a network of waterways and lakes, as ground water, in glaciers, and in the soil and plants. Changes in temperature and precipitation patterns affect our water stocks, for example leading to low flows or floods. Water physical stocks show how climate changes can impact on our environment, its ecosystems, and ultimately our lifestyles.
Further information can be found in:
Collins, D, Zammit, C, Willsman, A & Henderson, R (2015) Surface water components of New Zealand’s National WaterAccounts, 1995-2014. Prepared for Ministry for the Environment May 2015. Available at data.mfe.govt.nz/x/Tebsax on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "Water physical stocks: precipitation and evapotranspiration" measure on the Environmental Indicators, Te taiao Aotearoa website.
Variables: Abstraction for Hydrogeneration, Change in Ice, Change in Lakes, Change in Snow, Change in Soil Moisture, Discharge by Hydrogeneration, Evapotranspiration, Inflow from other regions, Outflow to other regions, Outflow to sea, Precipitation, Total.

Table ID 52596
Data type Table
Row count 240
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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