Add a new tutorial showing end-to-end from data fetching to prediction

[tennlee]

Demonstrates:

• Fetching ERA5 data using cloud-based Zarr servers for those who don't have it on disk, using a 2.8GB subset
• The FourCastNeXt model architecture applied to global model data at low resolution
• How do conduct end-to-end training and generate predictions

Additionally:

• Addresses some yaml lint

[coveralls]

Pull Request Test Coverage Report for Build 15183770816

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 59.972%

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Totals
Change from base Build 15139881597:	0.0%
Covered Lines:	9660
Relevant Lines:	15647

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💛 - Coveralls