Parent Dataset
Norwegian in-situ weather station data
Data center: Norwegian Meteorological Institute,
Abstract:
Time series of observations from Norwegian weather stations. The observations have been through the data collection system of the Norwegian Meteorological institute, which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).Metadata Information
Access constraint: OpenUse constraint:
Investigator
Name: Norwegian Meteorological InstituteOrganisation: Norwegian Meteorological InstituteMetadata Author
Temporal extent
Start date: 1850-01-01T00:00:00Z
Child dataset(s)
Institutions: Norwegian Meteorological InstituteShow more...
Abstract:
Time series of Air pressure at sea level observations from the Norwegian weather station Kongsvinger (WIGOS ID 0-20000-0-01468, station ID 5590). Air pressure reduced to mean sea level. The parameter is usually called QFF in aviation and shows the measured air pressure reduced to mean sea level by applying actual atmospheric conditions. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open-
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Snow depth observations from the Norwegian weather station Tynset (WIGOS ID 0-20000-0-01265, station ID 9580). The depth of the snow is measured in cm from the ground to the top of the snow cover. (Code=-1 means "no snow" and can be presented as "."). The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Maximum air temperature (12 h) observations from the Norwegian weather station Skolten (WIGOS ID 0-578-0-90110, station ID 90110). Highest recorded air temperature per 12 hours. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Mean wind speed observations from the Norwegian weather station Dealljá (WIGOS ID 0-578-0-92860, station ID 92860). Mean wind speed is registered as a mean value of the wind speed over the last ten minutes before the observation time. (default: 10 meters above ground, some stations have measurements at 2 meters). The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Mean wind speed observations from the Norwegian weather station Fet i Eidfjord (WIGOS ID 0-20000-0-01340, station ID 49800). Mean wind speed is registered as a mean value of the wind speed over the last ten minutes before the observation time. (default: 10 meters above ground, some stations have measurements at 2 meters). The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Relative air humidity observations from the Norwegian weather station Hornindal (WIGOS ID 0-578-0-58960, station ID 58960). Relative humidity . The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Air temperature observations from the Norwegian weather station Nord-Odal (WIGOS ID 0-578-0-5350, station ID 5350). Air temperature (default 2 m above ground), present value. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Minimum air temperature (12 h) observations from the Norwegian weather station Maristova (WIGOS ID 0-578-0-54600, station ID 54600). Lowest recorded air temperature per 12 hours. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Precipitation (24 h) observations from the Norwegian weather station Gullingen (WIGOS ID 0-578-0-46220, station ID 46220). Daily precipitation sum (between 06-06 UTC). The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Relative air humidity observations from the Norwegian weather station Bykle (WIGOS ID 0-578-0-40420, station ID 40420). Relative humidity . The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Maximum air temperature (12 h) observations from the Norwegian weather station Kanstadbotn (WIGOS ID 0-578-0-85080, station ID 85080). Highest recorded air temperature per 12 hours. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Relative air humidity observations from the Norwegian weather station Kistefjell (WIGOS ID 0-20000-0-01030, station ID 89010). Relative humidity . The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Air temperature observations from the Norwegian weather station Ørskog (WIGOS ID 0-578-0-60800, station ID 60800). Air temperature (default 2 m above ground), present value. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Mean wind speed observations from the Norwegian weather station Kjeller (WIGOS ID 0-20000-0-01466, station ID 4200). Mean wind speed is registered as a mean value of the wind speed over the last ten minutes before the observation time. (default: 10 meters above ground, some stations have measurements at 2 meters). The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open -
Institutions: Norwegian Meteorological Institute
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Abstract:
Time series of Maximum air temperature (12 h) observations from the Norwegian weather station Røldalsfjellet (WIGOS ID 0-20000-0-01429, station ID 46430). Highest recorded air temperature per 12 hours. The observations have been through the data collection system of the Norwegian Meteorological institute which includes a number of automated and manual quality control routines. The number of available quality control routines is parameter dependent. Note that this is a live/dynamic dataset: New observations arrive (at a pace that depends on the station and parameter) and existing observations may be corrected (even some of the very old ones).License :
Access: Open
Henrik Mohns Plass 1, 0371 Oslo, Norway
Telephone: +47 22 96 30 00 E-mail: post@met.no