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Notes30July.tex
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76 lines (41 loc) · 1.64 KB
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\documentclass[10pt,a4paper]{article}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{amssymb}
\begin{document}
\section{Model Error}
Model error vs. observation error?\\
Satellite example\\
model the radiance? direct observation:\\
then observation simple\\
model the temperature? indirect observation:\\
what's the error of the inverse problem\\
The different models make different dynamics.\\
Linear model nonlinear H, reverse, both nonlinear?\\
\section{Hurricane Prediction}
Parameter depends on the location / time.\\
Augmenting system? \\
Dynamics, attracting fixed pts, bistable dynamics\\
Sensitivity to the time when the observations are made?\\
Rapid Change Occurs?
\section{DA in adaptive mesh}
$\dot{u}_i=F(\{u_i\}),\dot{x}_i=G(\{x_i\},\{u_i\})$
Sea ice model.\\
AM to solve pde's\\
change rapidly some points, finer?\\
Augment the mesh variables, double the size; physical model\\
Fix a reference mesh, project the ensembles to this mesh.\\
Point: very little work in adaptive mesh; the model of DA is really the computational model\\
Comparison made on different grids?? Mean and covariance? Apples and oranges?\\
\section{Dimension Reduction}
Decomposition between slow and fast compositions => two systems\\
Strongly negative and positive Lyaponov exponents\\
Lower the dimension, project the observations to the reduced space.\\
Dynamically split the model without a priori knowing how to.\\
Lyaponov vectors?\\
pdf in high dimension, concentrated in the center? Sample? \\
Connection between dynamics of the problem and the pdf?\\
Diffusion maps???\\
\section{Machine Learning}
\end{document}