PET
PET is a toolbox for ensemble based Data-Assimilation developed and maintained by the data-assimilation and optimization group at NORCE Norwegian Research Centre AS.
Software
Hello world!
DAPPER Permalink
DAPPER is a set of templates for benchmarking the performance of data assimilation (DA) methods. The tests provide experimental support and guidance for new developments in DA.
NEDAS Permalink
NEDAS is a light-weight Python solution for implementing ensemble data assimilation methods for geophysical models, it utilizes MPI for parallelization and has a modular function-based design that allows algorithmic flexibility. NEDAS is an ideal test envir...
EnKF-seir Permalink
Multi-group SEIR model with age classes in an ensemble DA system for predicting spread of the Coronavirus.
Interactive Sequential-decision Geosteering Benchmark
The project allows to compare the decision skills of people and robots for a synthetic multi-target geosteering scenario. The code includes: Server, Client, and Ensemble-Based Decision Support System with uncertainties updated using the EnKF. The Benchmark ...
spade-gan-inversion
Leveraging the latest conditional Generative Adversarial Networks (GANs) with spatially adaptive denormalization (SPADE), we establish a novel ensemble-based workflow that effectively captures complex geological patterns. The code performs Bayesian history-...
EnKF-analysis Permalink
Fortran-90 routines for EnKF analysis. Stochastic and SQRT formulations with subspace inversion.