Dec 20, 2020 · I think that it will be easier for you to read the netCDF4 file and plot it using matplotlib. This is straight forward: import xarray as xr ds = xr.open_dataset('C:\WAIG\Python\ERA5_py01\Downloaded_nc_file/test_era5.nc') This line will plot the timeseries of the horizontal mean U10. ds['u10'].mean(['longitude','latitude']).plot()

Let’s make a very simple contour plot to convince ourselves that we indeed have surface air temperature data. 1. We will use the matplotlib plt.contourf function for a filed contour plot. It works very similar to Matlab plotting functions.

Now you've seen the basics on how to plot netCDF data in Python! The power of Matplotlib allows you to make these plots beautiful easily, with annotated points, dozens of colorbars to choose from, and LaTeX for writing mathematical formulas in titles/labels/annotations.

Oct 12, 2013 · There are a ton of good examples on how to plot using matplotlib and Basemap. Here I’ll show one very basic example but there are many more options for overlays, projections, colormaps, etc. Reading netCDF data using Python

The following example uses Sage Python to extract and visualize the sea surface temperature in the Global RTOFS model using data from the NOMADS data server or a downloaded Global RTOFS NetCDF file. The examples make use of the following free software: First set up the URL to access the data server.

Jun 11, 2020 · We can see that the type of dataset is netCDF, and there are in all 5 variables (‘lat’, ‘lon’, ‘time’, ‘air’, ‘time_bnds’)in the data. Now, as we have read the data from any of the variables...

read satellite measured Sea Surface Temperature (SST) data (accessible from data directory) in netCDF format. explore the data. select a region and plot spatial SST. select a few points and plot time series. comapre SST for two days by plotting side by side in a subplot. plot SST contour of greater than 30 degree Celcius. add LAND and coastline ...

In this example we’ll use xarray to read a Global RTOFS NetCDF dataset, plot a parameter (SST), and select a subregion. The xarray library can be installed via pip, conda (or whatever package manager comes with

Introduction to data visualization in Python, including plotting data from NetCDF files. Originally created for a Short Course in Data Assimilation and Visualization at the University of Reading, S...

Lesson: working with netCDF data# Last week you learned how to use the basic features of the python language with the numpy and matplotlib libraries. The purpose of this lesson is to introduce you to the main tool that you will use in the semester: xarray .