Copernicus Marine Service 161d ago

Watch the replay of this Copernicus Marine webinar showcasing how Python can be used to analyse marine data, with a focus on sea surface temperature trends under climate change in the Black Sea. The session presents practical examples using Copernicus Marine products for data access, analysis, and visualisation. Timeline 00:04:39 Introduction to the Copernicus Marine Service Python Tutorial Demonstration 00:09:52 Introduction 00:14:00 Working with Python 00:18:33 Data 00:20:38 Accessing the data - the Copernicus Marine Toolbox 00:25:53 Basic NetCDF Manipulations with xarray 00:28:38 Calculate average SSTs 00:29:50 Plotting a temperature map 00:32:57 Subsetting a dataset 00:34:55 Computing and plotting SST anomalies 00:46:45 SST Timeseries 00:48:00 Plotting a timeseries of spatially averaged SST 00:50:30 Estimating the SST trend 01:02:23 Mapping SST Trends Across the Black Sea Correlation with other variables 01:06:02 SST vs Surface Salinity 01:12:30 SST vs Primary Production 01:21:45 Extreme Events Indicators: Marine Heatwaves 01:27:40 Computing baselines and thresholds 01:30:33 Detecting Marine Heatwave Events