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Over the summer of 2023, I interned as a research assistant under the Climate Dynamics Lab at USC. My primary task was to produce a model that analyzes the net warming trends at Earth's atmosphere (Troposphere) from the last few thousand years through the 22nd century. All of the data I used is from CMIP6.
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Notebooks shared include comments and explanations to serve as a step-by-step tutorial. Not all of the work / final results are shared as these contributions are apart of an ongoing research paper. To learn more about the results, you can reach me at: [email protected]. For information about the pens package ('utilities for comparing paleoclimate reconstruction ensembles'), check out this link here
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In this notebook, I get accquainted with the relevant packages I need to use to normalize the data (Pens, Xarray, NumPy, etc.)
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For both historical and picontrol simulation data, I [ 1 ] use zero normalizations to return the anomalies and [ 2 ] stack them into KDEs
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Here, I apply the processes in the other notebook to all of the other types of simulations
- I also create helper functions to load and normalize all of the data from Google Cloud
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Visualize all of the data via Matplotlib