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 Ørskog (WIGOS ID 0-578-0-60800, station ID 60800). 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 Solvær (WIGOS ID 0-20000-0-01121, station ID 80102). 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 Relative air humidity observations from the Norwegian weather station Alta LH (WIGOS ID 0-20000-0-01049, station ID 93140). 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 Trysil Mosanden (WIGOS ID 0-20000-0-01397, station ID 180). 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 Minimum air temperature (12 h) observations from the Norwegian weather station Helligvær (WIGOS ID 0-20000-0-01144, station ID 82410). 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 Hasvik (WIGOS ID 0-20000-0-01042, station ID 93000). 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 Relative air humidity observations from the Norwegian weather station Vega (WIGOS ID 0-20000-0-01108, station ID 76450). 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 Air pressure at station level observations from the Norwegian weather station Filefjell − Kyrkjestølane (WIGOS ID 0-20000-0-01364, station ID 54710). Air pressure at the station. The parameter is usually called QFE in aviation and shows the measured air pressure reduced to the reference height of the station. 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 Selbu (WIGOS ID 0-20000-0-01273, station ID 68290). 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 Air pressure at station level observations from the Norwegian weather station Selbu (WIGOS ID 0-20000-0-01273, station ID 68290). Air pressure at the station. The parameter is usually called QFE in aviation and shows the measured air pressure reduced to the reference height of the station. 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 Helligvær (WIGOS ID 0-20000-0-01144, station ID 82410). 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 Relative air humidity observations from the Norwegian weather station Etne (WIGOS ID 0-578-0-47498, station ID 47498). 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 Hemsedal (WIGOS ID 0-20000-0-01358, station ID 25110). 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 Relative air humidity observations from the Norwegian weather station Snøheim (WIGOS ID 0-578-0-9380, station ID 9380). 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 Relative air humidity observations from the Norwegian weather station Utsira (WIGOS ID 0-20000-0-01403, station ID 47300). 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).