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.