{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 4D Air Temperature Anomaly\n", "\n", "This tutorial illustrates using VCS and DV3D (two CDAT tools) to plot three dimensional air temperature anomaly data through time (the 4th dimension).\n", "\n", "The most direct way to work with this Jupyter Notebook is to download the notebook by right clicking on the link below and chosing **\"Download linked file as\"**, activating a CDAT + jupyter compatible environment, and running the notebook on its own or within a Jupyter Lab interface. If you'd like more explanation than this, see the Getting Started section below.\n", "\n", "If you are unfamiliar with Jupyter Notebooks, they are files with an .ipynb extension that are made up of cells that can include executable code or regular text to explain what the code is doing. From [Jupyter.org](https://jupyter.org/) \"The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.\" Users can step through each cell in the notebook by putting their cursor in the cell they wish to run and either clicking on the \"Run\" button at the top of the page or pressing enter on the keyboard while holding down shift at the same time (shift-enter).\n", "\n", "To [download this Jupyter Notebook](https://cdat.llnl.gov/Jupyter-notebooks/scientific/4D_Air_Temperature_Anomaly/4D_Air_Temp_Anomaly.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.)\n", "\n", "[Download the Python file](https://cdat.llnl.gov/Jupyter-notebooks/scientific/4D_Air_Temperature_Anomaly/4D_Air_Temp_Anomaly.py) if you prefer to run the code below directly in Python without a Jupyter Notebook or JupyterLab interface." ] }, { "cell_type": "markdown", "metadata": { "toc": true }, "source": [ "