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added phyics informed ML notebooks of Tom Beucler
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tier_2/physic_informed/.gitkeep

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tier_2/physic_informed/Physically_constrained_postprocessing.ipynb

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tier_2/physic_informed/Physically_informed_parameterization.ipynb

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tier_2/physic_informed/README.md

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Contribution to ECMWF's MOOC on "Machine Learning in Weather & Climate"
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This repository includes two Google Colab notebooks for the physics-guided machine learning module:
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1. Physically-constrained post-processing of surface weather
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2. Physically-informed parameterization of subgrid processes for climate modeling
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Note: This repository uses the [ECMWF modified Apache 2.0 license](https://github.com/ecmwf-projects/mooc-machine-learning-weather-climate/blob/main/LICENSE).

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