{
"cells": [
{
"cell_type": "raw",
"metadata": {},
"source": [
"Content under Creative Commons Attribution license CC-BY 4.0, code under BSD 3-Clause License © 2017 L.A. Barba, N.C. Clementi"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Linear regression with real data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Earth temperature over time\n",
"\n",
"In this lesson, we will apply all that we've learned (and more) to analyze real data of Earth temperature over time.\n",
"\n",
"Is global temperature rising? How much? This is a question of burning importance in today's world!\n",
"\n",
"Data about global temperatures are available from several sources: NASA, the National Climatic Data Center (NCDC) and the University of East Anglia in the UK. Check out an article by the [University Corporation for Atmospheric Research](https://scied.ucar.edu/learning-zone/how-climate-works/why-earth-warming) (UCAR) for an in-depth discussion.\n",
"\n",
"The NASA Goddard Space Flight Center Scientific Visualization Studio is one of our sources of global climate data. They have produced animations showing a color map of the changing global surface **temperature anomalies** since 1880—see the updated [video with 2023 data](https://svs.gsfc.nasa.gov/5207/) on their website.\n",
"\n",
"The term [global temperature anomaly](https://www.ncdc.noaa.gov/monitoring-references/faq/anomalies.php) means the difference in temperature with respect to a reference value or a long-term average. It is a very useful way of looking at the problem and in many ways better than absolute temperature. For example, a winter month may be colder than average in Washington DC, and also in Miami, but the absolute temperatures will be different in both places.\n",
"\n",
"The YouTube video embedded below shows the global temperature anomaly from 1880 to 2022."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import YouTubeVideo\n",
"YouTubeVideo('LwRTw_7NNJs')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"How would we go about understanding the _trends_ from the data on global temperature?\n",
"\n",
"The first step in analyzing unknown data is to generate some simple plots using **Matplotlib**. We are going to look at the temperature-anomaly history, contained in a file, and make our first plot to explore this data. \n",
"\n",
"We are going to smooth the data and then we'll fit a line to it to find a trend, plotting along the way to see how it all looks.\n",
"\n",
"Let's get started!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1: Read a data file\n",
"\n",
"We obtained time-series data from the [NOAA](https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/global/time-series) (National Oceanic and Atmospheric Administration) webpage. Feel free to play around with the webpage and analyze data on your own, but for now, let's make sure we're working with the same dataset.\n",
"\n",
"\n",
"If you made a copy of the full set of files for this module, you will have a file named `land_global_temperature_anomaly-1850-2023.csv` in the `data` folder. This comma-separated data file shows the year on the first column, and averages of land temperature anomaly on the second column, between the years 1850 and 2023. We will load the file, then make an initial plot to see what it looks like.\n",
"\n",
"\n",
"**Note:**\n",
"\n",
"If you downloaded this notebook alone, or are following along in your own notebook, you may not have the data file on the location we assume below. In that case, you can download the data if you add a code cell, and execute the following code in it:\n",
"\n",
"\n",
"```Python\n",
"from urllib.request import urlretrieve\n",
"URL = 'http://go.gwu.edu/engcomp1data5'\n",
"urlretrieve(URL, 'land_global_temperature_anomaly-1850-2023.csv')\n",
"```\n",
"\n",
"\n",
"The data file will be downloaded to your working directory, and you will then need to remove the path information, i.e., the string `'../data/'`, from the definition of the variable `fname` below.\n",
"\n",
"Let's start by taking a peek at the data."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Global Land and Ocean December Temperature Anomalies\n",
"Units: Degrees Celsius\n",
"Base Period: 1901-2000\n",
"Missing: -999\n",
"Year,Anomaly\n",
"1850,-0.07\n",
"1851,-0.03\n",
"1852,-0.09\n",
"1853,-0.22\n",
"1854,0.01\n"
]
}
],
"source": [
"# modify the path to the data file as needed\n",
"!head ../data/land_global_temperature_anomaly-1850-2023.csv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"One thing we notice right away is that a few lines in the file have some header information. Count the lines: including the column labels, five lines should be skipped if we want to load the numeric data into NumPy arrays.\n",
"\n",
"Next, import the fantastic NumPy library for array operations, and let the fun begin!"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import numpy"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To load our data from the file, we'll use the function [`numpy.loadtxt()`](https://numpy.org/doc/stable/reference/generated/numpy.loadtxt.html), which lets us immediately save the data into NumPy arrays. (We encourage you to read the documentation for details on how the function works.) Here, we'll save the data into the arrays `year` and `temp_anomaly`. "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"fname = '../data/land_global_temperature_anomaly-1850-2023.csv'\n",
"\n",
"year, temp_anomaly = numpy.loadtxt(fname, delimiter=',', skiprows=5, unpack=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_Exercise:_\n",
"\n",
"Inspect the data by printing a slice of`year` and `temp_anomaly`."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2: Plot the data\n",
"\n",
"Let's first load the **Matplotlib** module called `pyplot`, for making 2D plots. Remember that to get the plots inside the notebook, we use a special \"magic\" command, `%matplotlib inline`:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from matplotlib import pyplot\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `plot()` function of the `pyplot` module makes simple line plots. We avoid that stuff that appeared on top of the figure, that `Out[x]: [< ...>]` ugliness, by adding a semicolon at the end of the plotting command."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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",
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