{"id":4473,"date":"2023-09-20T15:22:46","date_gmt":"2023-09-20T13:22:46","guid":{"rendered":"https:\/\/nersc.no\/?page_id=4473"},"modified":"2026-03-05T15:33:50","modified_gmt":"2026-03-05T14:33:50","slug":"data-assimilation","status":"publish","type":"page","link":"https:\/\/nersc.no\/en\/research-area\/models\/data-assimilation\/","title":{"rendered":"Data assimilation"},"content":{"rendered":"

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Data assimilation<\/h1><\/div>

Data assimilation are methods that combine measurements of the climate and environment, such as temperature and wind, with models. Through this process, it produces a more accurate description of the present state, which in turn will form the basis for more reliable forecasts.<\/p><\/div>[vc_column_text css=””]<\/p>\n

The combination of climate and environmental data and models is important for many research fields, such as forecasting of marine conditions and changes. The model calculations are never completely accurate, but by including (assimilating) measurements in the models, it is possible to reduce the difference between a forecast and the actual state of the sea, ice, or air. Through the use of data assimilation as an improvement method, ocean, sea-ice, and climate forecasts have become much more reliable, although there is room to improve the forecasts further. We are developing new methods to streamline the use of data assimilation in operational forecasting, and for the reconstruction of past climates.<\/p>\n

The Nansen Center has a central role in developing and using so-called ensemble methods in data assimilation. Ensemble Kalman Filter \u2013 the method was developed by us and is used in our ocean, sea-ice and climate models. Today, the method is used routinely for operational forecasting and for the reconstruction of past climates. Data assimilation can be used for all types of model improvements where measurement data is included. It can apply to everything from information on soil moisture or the optics of an extra-large telescope \u2013 the possibilities are endless and extend far beyond climate research.<\/p>\n

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For more information, contact research leader Laurent Bertino<\/strong><\/a>.<\/p>\n<\/div>

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News<\/h2><\/div>