{
"cells": [
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"source": [
"# Welcome to the AMS Short Course on Open Source Radar Software"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "notes"
}
},
"source": [
"Stuff"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"\n",
"- Scott Collis, Argonne National Laboratory\n",
"- Jonathan Helmus, Argonne National Laboratory\n",
"- Nick Guy, University of Wyoming\n",
"- Timothy Lang, NASA Marshall Space Flight Center \n",
"- Joseph Hardin, Pacific Northwest National Laboratory\n",
"- Marcus van Lier-Walqui, NASA Goddard Institute of Space Studies\n",
"\n",
"\n",
"
![](\"./images/python-logo.png\")
\n",
"
![](\"./images/arm_logo.png\")
\n",
"
![](\"./images/ams.jpg\")
\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"#What Is Open Source?\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"###\"Free software is a matter of liberty, not price. To understand the concept, you should think of free as in free speech, not as in free beer.\"\n",
" #####—Richard Stallman\n",
"
\n",
"######"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"#Course Objectives "
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- To give a familiarity with Python and the Scientific Python ecosystem and IPython and project Jupyter"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- To introduce the Python ARM Radar Toolkit and reveal the data model used"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- To show how to plot a variety of different radar data with Py-ART"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- Demonstrate how to add a field so you can do processing on your own data"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- Introduce you to several tools in Py-ART including texture retrieval, dealiasing and gridding"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"#Course objectives\n",
"- Introduce you to ART-View"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- Introduce you to an array of tools built on and independant of Py-ART for working with radar data"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"8:30 a.m.\tARRIVAL AND INTRODUCTIONS AND INSTALLATION OF SOFTWARE AND DATA. Collis and Helmus\n",
"
9:15 a.m.\tAN INTRODUCTION TO PYTHON AND IPYTHON Jonathan Helmus\t \n",
"9:30 a.m.\tBASIC PY-ART AND THE PY-ART DATA MODEL Jonathan Helmus\n",
"
10:00 a.m.\tCOFFEE BREAK "
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"10:15 a.m.\tBASIC PY-ART AND THE PY-ART DATA MODEL (CONT) Jonathan Helmus\n",
"
11:30 a.m.\tEXAMPLES OF RADAR PROCESSING USING PY-ART Scott Collis\n",
"
12:00 a.m.\tLUNCH (included)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"1:30 p.m.\tEXAMPLES OF RADAR PROCESSING USING PY-ART (CONT) Scott Collis\n",
"
2:00 p.m.\tPy-ART TOOLS, TEXTURE, DEALIAS AND GRID Scott Collis\n",
"
2:30 p.m.\tPYTHON TOOLS 1: ART-VIEW Nick Guy.\n",
"
3:00 p.m\tCOFFEE BREAK"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"3:30 p.m.\tPYTHON TOOLS 2: RADAR MET TOOLS. Tim Lang\n",
"
4:15 p.m.\tWRAP UP AND FUTHER DISCUSSION. ALL\n",
"
5:00 p.m.\tAdjourn. "
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"#This is a living course"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- Data is at: This figshare repository\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"- Materials live This GitHub Repository"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Slideshow",
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
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![Isummit 2008, Japan, free beer crop](\"https://commons.wikimedia.org/wiki/File:Isummit_2008,_Japan,_free_beer_crop.png#/media/File:Isummit_2008,_Japan,_free_beer_crop.png\"){kind=link}
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