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# Motivation | ||
Our benchmark is one of the first to perform large-scale evaluation on existing state-of-the-art models, and finds methods originally developed for weather-scale applications _fails_ on S2S task, including: | ||
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1️⃣ __Collapse to Climatology__. Performing comparable or worse than climatology renders these state-of-the-art-models operationally unusable | ||
![Collapse](../docs/all_rmse_sota.png) | ||
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2️⃣ __Blurring Artifact__. Averaged-out forecasts is of little use when one attempts to predict extreme events requiring high-fidelity on the S2S scale (e.g., droughts, hurricanes) | ||
![Blurring](../docs/preds_climax_q700_direct_Task1.png) |
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