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This dataset was first added to MfE Data Service on 13 Oct 2017.
8e83216b-66c0-e02c-743a-50406c3ab79a
eng
utf8
dataset
dataset
Environmental Reporting, Ministry for the Environment and Statistics New Zealand
Analyst
23 Kate Sheppard Place, PO Box 10362
Wellington 6143
New Zealand
Environmental.Reporting@mfe.govt.nz
distributor
2017-10-13
ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata
1.1
NZGD49 / New Zealand Map Grid
Percent of normal sunshine hours, 2014–16
Sunshine is essential for our mental and physical well-being and plant growth. It is also important for tourism and recreation.
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.
completed
Environmental Reporting, Ministry for the Environment and Statistics New Zealand
Analyst
23 Kate Sheppard Place, PO Box 10362
Wellington 6143
New Zealand
Environmental.Reporting@mfe.govt.nz
distributor
irregular
*.xml
Unknown
New Zealand
theme
ANZLIC Jurisdictions
Version 2.1
2008-10-29
http://asdd.ga.gov.au/asdd/profileinfo/anzlic-jurisdic.xml#anzlic-jurisdic
ANZLIC the Spatial Information Council
custodian
CLIMATE-AND-WEATHER-Meteorology
CLIMATE-AND-WEATHER-Radiation
theme
ANZLIC Search Words
Version 2.1
2008-05-16
http://asdd.ga.gov.au/asdd/profileinfo/anzlic-theme.xml#anzlic-theme
ANZLIC the Spatial Information Council
custodian
Creative Commons Attribution 3.0 New Zealand by Ministry for the Environment
license
Creative Commons Attribution 4.0
copyright
Creative Commons Attribution 3.0 New Zealand by Ministry for the Environment
license
grid
eng
utf8
environment
ANZMet Lite Country codelist
Version 1.0
2009-03-31
http://asdd.ga.gov.au/asdd/profileinfo/anzlic-country.xml#Country
ANZLIC the Spatial Information Council
custodian
nzl
https://data.mfe.govt.nz/layer/89446-percent-of-normal-sunshine-hours-201416/
dataset
dataset
Source:
NIWA
Method:
NIWA extracted data for sunshine hours from the Climate Database for all stations with data (approximately 90 stations across the country) for the particular year. NIWA then interpolated the data to create a regular 500m resolution grid of average annual sunshine hours for each year from 1972 to 2016. Missing data were infilled using Virtual Climate Station Network data (NIWA, nd). Be cautious when interpreting interpolated data because interpolation accuracy is affected by stations opening or closing over time, station density, and terrain complexity. The type of instrument used for recording sunshine hours may change over time which could also influence results. Data are for a calendar year (January–December).
NIWA calculated percent of normal sunshine hours by comparing interpolations of the annual average for each year to the long-term average for 1981–2010. The most recent three-year average (2014–16) percent of normal annual sunshine hours was created by averaging the three individual year interpolations.
Creative Commons Attribution 3.0 New Zealand by Ministry for the Environment
license
Creative Commons Attribution 3.0 New Zealand by Ministry for the Environment
license