podaac/the-coding-club

Explore the pathway toward scaled-up scientific analysis with Earthdata in the cloud. These activities focus on the community with limited knowledge of the AWS cloud, which is still the majority.

The PO.DAAC Coding Club

Toward scaling up scientific analyses with Earthdata/PO.DAAC in the cloud.

1. The very first step toward using cloud from knowing nothing about cloud
2. Demonstrate using Fortran in the cloud by running MITgcm
3. Investigating the Efficiency of File Formats for SWOT Data on the Cloud
4. The one-stop cloud solution: SWOT-dashboard as an example (notebooks/SWOT_SSH_dashboard.ipynb)

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1. Grace Handbook
   1. Using GRACE-FO mascon data to analyze Terrestrial Water Storage anomalies of the Colorado River Basin

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1. Tutorials
   • ECCO Compute global mean ocean energy imbalance from ECCO Version 4 Release 4
   • EC2 jupyterlab setup
   • NASA-SSH Using Dask to parallel process the global mean sea level anomaly using PO.DAAC data in the cloud
   • Build a notebook with podaac data to support a field campaign in real time: SASSIE as an example