RISDA2018_Day2

This is the second release (v1.0.1) for day 2 of the RIKEN International School on Data Assimilation (RISDA) 2018. Further updates are expected in the future to add functionality. Day 2 adds:

*fixed general issues raised during RISDA2018-day1
*fixed nudging bug
*added capability to assimilate fewer observations per cycle (dims: x,y,z,xy,yz,zx)
*changed generate_analysis_init.py to simply analysis_init.py, and added ability to provide the DA method name via the command line
*used nan’s to prevent plotting of trailing 0’s in DA runs
*added basic shell scripts to quickly run the tutorial python programs on each DA method and plot

RISDA2018_Day1

This is the first release (v1.0) for day 1 of the RIKEN International School on Data Assimilation (RISDA) 2018. Further updates are expected. The tutorials currently cover computing a nature and free run, tangent linear model, Lyapunov Exponents, data assimilation (using: nudging, Optimal Interpolation, 3D-Var, the Ensemble Kalman Filter, the Particle Filter, and the Hybrid-Gain method), and plotting. The tutorials currently support the Lorenz-63 model but may be generalized in the future. All software is python-based and relies only on the anaconda python distribution, with additional support for plotting via plotly.