{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Taylor Diagram Tutorial \n", "\n", "This tutorial is for creating a Taylor Diagram using [CDAT](https://cdat.llnl.gov)'s VCS package.\n", "\n", "Taylor diagrams are mathematical diagrams designed to graphically indicate which of several approximate representations (or models) of a system, process, or phenomenon is most realistic. This diagram, invented by Karl E. Taylor in 1994 (published in 2001), facilitates the comparative assessment of different models - for example, to summarize the relative merits of a collection of different models or to track changes in performance of a single model as it is modified. The diagram can also be used to quantify the degree of correspondence between modeled and observed behavior. In general, the diagram uses three statistics: the Pearson correlation coefficient, the root-mean-square error (RMSE), and the standard deviation. Taylor diagrams have been used widely to evaluate models designed to study climate and other aspects of Earth’s environment. (See [Wikipedia's page](https://en.wikipedia.org/wiki/Taylor_diagram) and [Taylor (2001)](http://onlinelibrary.wiley.com/doi/10.1029/2000JD900719/abstract) for details.)\n", "\n", "Reference: [Taylor, K. E. 2001: Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research, doi: 10.1029/2000JD900719, 106(D7): 7183-7192](http://onlinelibrary.wiley.com/doi/10.1029/2000JD900719/abstract)\n", "\n", "\n", "Environment version used in this tutorial:\n", "- cdat 8.1\n", "\n", "To [download this Jupyter Notebook](Taylor_Diagrams.ipynb), right click on the link and choose \"Download Linked File As...\" or \"Save Link as...\". Remember where you saved the downloaded file which should have an .ipynb extension. (You'll need to launch the Jupyter notebook or JupyterLab instance from the location where you store the notebook file.)" ] }, { "cell_type": "markdown", "metadata": { "toc": true }, "source": [ "