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).
Time series of Snow depth observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). 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).
Time series of Minimum air temperature (12 h) observations from the Norwegian weather station Bardufoss (WIGOS ID 0-20000-0-01023, station ID 89350). 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).
Time series of Relative air humidity observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). 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).
Time series of Wind direction observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). Mean wind direction over the last ten minutes before the observation time. Wind direction is defined as the direction from which the wind blows and is registered in degrees, where 360 degrees is north and 90 degrees is east. . 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).
Time series of Snow depth observations from the Norwegian weather station Kjevik (WIGOS ID 0-20000-0-01452, station ID 39040). 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).
Time series of Precipitation (24 h) observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). 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).
Time series of Air temperature observations from the Norwegian weather station Bardufoss (WIGOS ID 0-20000-0-01023, station ID 89350). 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).
Time series of Minimum air temperature (12 h) observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). 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).
Time series of Air temperature observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). 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).
Time series of Precipitation (24 h) observations from the Norwegian weather station Kjevik (WIGOS ID 0-20000-0-01452, station ID 39040). 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).
Time series of Minimum air temperature (12 h) observations from the Norwegian weather station Kjevik (WIGOS ID 0-20000-0-01452, station ID 39040). 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).
Time series of Relative air humidity observations from the Norwegian weather station Tromsø (Vervarslinga) (WIGOS ID 0-20000-0-01026, station ID 90450). 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).
Time series of Maximum air temperature (12 h) observations from the Norwegian weather station Kjevik (WIGOS ID 0-20000-0-01452, station ID 39040). 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).
Time series of Maximum air temperature (12 h) observations from the Norwegian weather station Bardufoss (WIGOS ID 0-20000-0-01023, station ID 89350). 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).
Time series of Maximum air temperature (12 h) observations from the Norwegian weather station Værnes (WIGOS ID 0-20000-0-01271, station ID 69100). 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).