Software packages for data assimilation

We have data assimilation software packages available for free use.

The assimilation package “DAPPER” – Data Assimilation with Python: a Package for Experimental Research – is easy to use. With this, different data assimilation methods can be compared, and are applicable both in research and for educational purposes.

The software package “NEDAS” – Next-generation Data Assimilation System – allows researchers to test and develop new ideas for how to use data assimilation in geophysical models. The package offers a collection of different DA algorithms and allows researchers to compare new methods with already established methods.

The program package “Fortran90 EnKF” is based on the Ensemble-Kalman filter method (EnKF), a unique data assimilation method developed at the Nansen Center. The package is tailored to large amounts of data for use in ocean models. At the Nansen Center, it is used when preparing forecasts for the ocean, sea ice, and climate.

For more information, contact research leader Laurent Bertino.

Software

For access to DAPPER, a tool to compare different data assimilation methods, go to GitHub

Software

For access to NEDAS, a tool to compare different data assimilation methods and to test new methods, go to GitHub

Software

For access to Fortran90 EnKF, a tool for assimilating data into models, go to GitHub