Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
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).
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
Direct Broadcast data received at MET NORWAY Oslo. Processed by standard processing software to geolocated and calibrated values in satellite swath in received instrument resolution.
The atmospheric component of NORA3 is produced by running the non-hydrostatic HARMONIE-AROME model (Seity et al., 2011, Bengtsson et al., 2017, Muller et al., 2017) with 3km horizontal resolution and 65 vertical levels. The model runs 9-hourly forecasts four times a day. Each forecast starts from an assimilated state of the last forecast adapted to surface observations. Model levels are forced with the global ERA-5 data (https://climate.copernicus.eu/climate-reanalysis). A continuous historical time series, i.e. the hindcast, is then compiled from hour 4-9 of each forecast.
The atmospheric component of NORA3 is produced by running the non-hydrostatic HARMONIE-AROME model (Seity et al., 2011, Bengtsson et al., 2017, Muller et al., 2017) with 3km horizontal resolution and 65 vertical levels. The model runs 9-hourly forecasts four times a day. Each forecast starts from an assimilated state of the last forecast adapted to surface observations. Model levels are forced with the global ERA-5 data (https://climate.copernicus.eu/climate-reanalysis). A continuous historical time series, i.e. the hindcast, is then compiled from hour 4-9 of each forecast.
The atmospheric component of NORA3 is produced by running the non-hydrostatic HARMONIE-AROME model (Seity et al., 2011, Bengtsson et al., 2017, Muller et al., 2017) with 3km horizontal resolution and 65 vertical levels. The model runs 9-hourly forecasts four times a day. Each forecast starts from an assimilated state of the last forecast adapted to surface observations. Model levels are forced with the global ERA-5 data (https://climate.copernicus.eu/climate-reanalysis). A continuous historical time series, i.e. the hindcast, is then concatenated from hour 4 to 9 of each forecast compiled from hour 4-9 of each forecast. The NORA3 hourly wind hindcast data provides model output of wind in several heights above the surface.