{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Satellite data (part 3)\n", "----\n", "J. Potemra\n", "April 2022\n", "\n", "----" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Outline\n", "In this notebook we will look at a variety of satellite data and apply these data to different questions. We will first start with sea level as measured by altimetry and do some comparisons to tide gauge data. Next, we'll have a look at surface temperature and try do some trend analysis. After that, we'll have a look at scatterometer winds and compute Ekman currents. Finally, we'll have a look at ocean ocean." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 1. Satellite data: Sea level\n", "\n", "In this exercise we will try to access and plot satellite-derived data. To make things even more flexible, we will read data from remote data services (_i.e._, there will be no need to access data on the SOEST disks or download anything to your local machine). As mentioned before, NASA PO.DAAC, the APDRC and PacIOOS are all good places to look for data:\n", "\n", " * https://thredds.jpl.nasa.gov/thredds/catalog.html\n", " * http://apdrc.soest.hawaii.edu/data/data.php\n", " * https://pacioos.org/thredds\n", "\n", "Additionally, we will make use of the mapping functions within cartopy. This is just one way to draw coastlines; GeoPandas and matplotlib are two others." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As usual, the first thing we want to do is import all the necessary packages:\n", "