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The Frost API provides free access to MET Norway's archive of historical weather and climate data. This data includes quality controlled daily, monthly, and yearly measurements of temperature, precipitation, and wind data. Other information, like metadata about weather stations, is also available through the API.
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The national land resource database (AR) classifies the land cover of mainland Norway according to its suitability for agriculture and natural plant production. National land resource datasets are available at scale 1:5.000 (AR5), 1:50.000 (AR50) and 1:250.000 (AR250). AR5 is a national, seamless land resource database. The dataset describes land resources (mainly land cover and productivity) based on a standardized national classification system with 104 classes. Special attention is given to the suitability of land for agricultural and forest production. Substantial areas of Norway are above the tree line. These areas are only mapped as “not classified” in AR5. Areas above the tree line have been mapped in AR50. Features in AR5 are continuous areas with the same attributes assigned according to the classification criteria of AR5 with a geometric representation as polygons. The minimum mapping unit in AR5 is 0.05 hectare (500 m2) for agricultural areas, transport networks and water bodies. Furthermore 0.2 hectare (2000 m2) is the minimum mapping unit for forest, peat bogs and open areas. For urban areas the minimum mapping unit is 0.5 hectare and 2.5 hectare for perpetual snow and glaciers. The geometric accuracy for well-defined boundaries is 2 m or better. The point density is normally between 5 and 50 m. AR5 is continually updated by municipal administrations and priority is given to agricultural- and urban areas. This is an integrated part of the maintenance of the municipal geospatial database. A centralized control and editing program is carried out by NFLI with a five year turnover period.
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This is an expert tool used for preparedness, monitoring and forecasting of floods, landslides and avalanches. With maps and time base compiled data from stations and models with events and field observations. Norwegian Public Roads Administration and Norwegian National Rail Administration, in cooperation with NVE and met.no made various risk indices based on inspections grid weather and snow data from senorge.no. Risk indices are based on statistical relationships and the use of threshold values for various combinations of parameters. xGeo includes the production of data and dissemination of results that come out of this collaboration. xGeo is normally available for everyone and includes many types of data - both historical observations and model simulations and forecasts and real-time data.