![]() We will learn to use panoply to visualize the sea ice area fraction over the poles (southern and northern poles) and surface temperatures for two different years (19). ![]() We will be using a freely available dataset containing Essential Climate Variables (sea ice area fraction, surface temperature) from Copernicus Climate Data Store. Therefore in this tutorial, we will be focusing on the usage of Climate data in Network Common data Form (netCDF) because it is the most common data format for storing Climate data. There are many online services to get climate data, and it is often difficult to know which ones are up-to date and which resources to trust.ĭifferent services provide different Application Programming Interfaces (API), use different terminologies, different file formats etc., which make it difficult for new users to master them all. Create Geo-referenced Longitude-Latitude plot.Save plots to GIF, JPEG, PNG or TIFF bitmap images or as PDF or PostScript graphics files.Use any of numerous color tables for the scale colorbar.Plot geo-referenced latitude-longitude, latitude-vertical, longitude-vertical, time-latitude or time-vertical arrays.It supports many features to customize your plots and we will introduce some of them in this lesson. It provides a graphical interface for inspecting (show metadata) and visualizing netCDF data. Panoply is among the most popular tool to visualize geo-referenced data stored in Network Common Data Form (netCDF). The practical aims at familiarzing you with the Panoply Galaxy interactive environment. This tutorial is significantly based on the Panoply documentation “Quick View Data with Panoply” section.
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