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README.md
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```
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**Step 3**: Download the data
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```
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# Required for inputs and climatology (e.g., normalization)
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$ ./process.sh era5
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$ ./process.sh lra5
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$ ./process.sh oras5
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$ ./process.sh climatology
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# Optional: control (deterministic) forecasts
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$ ./process.sh ukmo
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$ ./process.sh ncep
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$ ./process.sh cma
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$ ./process.sh ecmwf
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# Optional: perturbed (ensemble) forecasts
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$ ./process.sh ukmo_ensemble
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$ ./process.sh ncep_ensemble
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$ ./process.sh cma_ensemble
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$ ./process.sh ecmwf_ensemble
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```
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## 🔍 Dataset Overview
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## 🪜 Leaderboard
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You can access the full score and checkpoints in `logs/<MODEL_NAME>` within the following subdirectory:
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- Scores: `eval/<METRIC>.csv`
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- Model checkpoints: `lightning_logs/`
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```
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**Step 3**: Download the data
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```
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# Required for inputs and climatology (e.g., for normalization; 1979-)
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$ ./process.sh era5
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$ ./process.sh lra5
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$ ./process.sh oras5
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$ ./process.sh climatology
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# Optional: control (deterministic) forecasts (2018-)
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$ ./process.sh ukmo
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$ ./process.sh ncep
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$ ./process.sh cma
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$ ./process.sh ecmwf
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# Optional: perturbed (ensemble) forecasts (2022-)
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$ ./process.sh ukmo_ensemble
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$ ./process.sh ncep_ensemble
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$ ./process.sh cma_ensemble
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$ ./process.sh ecmwf_ensemble
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# Optional: state-of-the-art (deterministic) forecasts (2022-)
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$ ./process.sh panguweather
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$ ./process.sh fourcastnetv2
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$ ./process.sh graphcast
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```
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## 🔍 Dataset Overview
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## 🪜 Leaderboard
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View our interactive leaderboard dashboard [here](https://leap-stc.github.io/ChaosBench/leaderboard.html)
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You can access the full score and checkpoints in `logs/<MODEL_NAME>` within the following subdirectory:
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- Scores: `eval/<METRIC>.csv`
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- Model checkpoints: `lightning_logs/`
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