Tutorials
Some simple tutorials to get you started analysing the CANARI-LE.
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Running on Sci Servers, installing Micromamba and running your own JupyterLab
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CDFTOOLS: a diagnostic package written in fortran 90 for the analysis of NEMO model output, initialized in the frame of the DRAKKAR project (https://www.drakkar-ocean.eu/)
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Data Analysis Guides: Access our data analysis guides hosted on the tutorials repository.
To try these tutorials independently, clone the repository in JASMIN with the following commands:
git clone https://github.com/CANARI-sprint/tutorials.git
cd tutorials
!IMPORTANT: You need to have access to the CANARI gws.
Here's a catalog of the available notebooks. The first 8 tutorials refer to the COAsT python package.
1) Basic Data Manipulation: Introduction to data handling using the COAsT package.
2) Exporting to NetCDF: Guide on exporting outputs to netCDF format for future use or analysis.
3) Climatology Tutorial: Demonstrates calculating climatological means and multi-year climatologies.
4) Calculating EOFs: How to utilize COAsT for computing Empirical Orthogonal Functions (EOFs).
5) Potential Energy Analysis: Tutorial on calculating Potential Energy Anomaly and applying regional masking..
6) Pycnocline Diagnostics: Exploration of pycnocline depth and thickness diagnostics.
7) Seasonal Decomposition: Techniques for decomposing time series into trend, seasonal, and residual components.
8) Transect Calculations: Methods for creating data transects.
9) Basic Plots and Analysis: Utilizing CANARI-LE historical data for Sea Surface Temperature (SST) visualization.
10) UK Precipitation Plots: Making plots of UK precipitation using the iris python package, curtesy of Ben Harvey.
11) Box Profile Development: Computing ocean profiles with selected variables making use of the lotus queue on JASMIN.