Tutorial on how to access and plot the NOAA surface temperature anomaly data in Python.
I would like to thank the authors of the data for making them openly available and FAIR.
If you want to use the data publicly, you should also give credit to the authors of the dataset by including the following recommended citation (change the access data at the end):
H.-M. Zhang, B. Huang, J. H. Lawrimore, M. J. Menne, and T. M. Smith (2019): NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 5.0. NOAA National Centers for Environmental Information. doi:10.25921/9qth-2p70 [2024-04-13].
00:00 Accessing the data
02:13 Understanding the NetCDF file
04:50 Accessing the data
05:15 Data to CSV
06:02 Selecting one time slice
07:43 A quick, basic plot
08:28 A nicer plot
Code here:
https://nordatanet.github.io/Exploring_FAIR_data_with_Python/global_surface_temperature_anomalies.html
## Version 6 has since been released!
Landing page for the data: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc:C01704/html
Find the latest OPeNDAP link to the data here:
https://www.ncei.noaa.gov/thredds/catalog/noaa-global-temp-v6/latest.html
Matplotlib colour palettes: https://matplotlib.org/stable/users/explain/colors/colormaps.html
Cartopy projections: https://scitools.org.uk/cartopy/docs/v0.15/crs/projections.html
My playlist on working with NetCDF files in Python:
https://www.youtube.com/playlist?list=PLpykv05eUR0rAuaLnybkZORnCwyND4CV4
