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Generic data-assimilation toolbox written in java, with native (c and fortran) libraries for high performance computing. Provides tools to couple to your own model and a wide range of algorithms, ranging from parameter calibration to Kalman filters.
...Two scripting languages (PCRcalc and Python) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and dataassimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data.
The latest ESMF development is happening in GitHub:
https://github.com/esmf-org/esmf
https://earthsystemmodeling.org
The Earth System Modeling Framework provides high-performance software infrastructure and superstructure for the construction and coupling of climate, weather, and dataassimilation applications.
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Pheno Analysis is a sequential dataassimilation framework for use with prognostic phenology models. It uses MODIS satellite data to constrain model parameters and states.