Navigate to the correct folder as indicated by your instructor.Go into Shared data (top panel) then Data libraries.Open the Galaxy Upload Manager ( galaxy-upload on the top-right of the tool panel)Īs an alte rnative to uploading the data from a URL or your computer, the files may also have been made available from a shared data library: Import the file from Zenodo or from the shared data library Select the option Create New from the menu.Click on the galaxy-gear icon ( History options) on the top of the history panel.If you are not inspired, you can name it Panoply for example… Tip: Creating a new historyĬlick the new-history icon at the top of the history panel. Get data hands_on Hands-on: Data uploadĬreate a new history for this tutorial. Data from Copernicus Climate Data Store is freely available but may require free registration and license agreement. In this tutorial, we will be using data from the Copernicus Climate Data Store and more precisely a reanalysis ERA5-Land monthly averaged dataset for 2019. netcdf.įor climate and forecast data stored in NetCDF format there are (non-mandatory) conventions on metadata ( CF Convention). It is self-describing and machine-independent data format that supports the creation, access, and sharing of array-oriented scientific data. NetCDF data format is a binary format and to be able to read or visualize it, we would need to use dedicated software or libraries that can handle this “special” format. 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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