Operational Runs
How the forecast evolved
From almost two weeks out to the day itself: how the models shifted, and how they scored against the observation.
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WN3 ENS: © 2026 DeepMind Technologies Limited's machine learning models used to create the experimental data made available at https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg under CC BY 4.0 licence terms. This data is intended for experimental modelling only and is not intended, validated, or approved for real world use.
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Multimodel Accuracy & Bias Verification
Target Date: -- | Location: -- (Max)
Reference: --. Calculated RMSE and Bias values (AVG D1-6 = average for D-1 through D-6):
| LEAD | ||||||
|---|---|---|---|---|---|---|
| AVG D1-6 |
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| Bias D1-6 | ||||||
| D-1 | ||||||
| D-2 | ||||||
| D-3 | ||||||
| D-4 | ||||||
| D-5 | ||||||
| D-6 | ||||||
| D-7 | ||||||
| D-8 | ||||||
| D-9 | ||||||
| D-10 | ||||||
| D-11 | ||||||
| D-12 | ||||||
| D-13 |
What is Accuracy & Bias Verification?
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Run-to-Run Stability
Target Date: -- | Location: -- (--)
How much a model's forecast changes between consecutive runs on each lead day (lower = more consistent).
| LEAD | ||||||
|---|---|---|---|---|---|---|
| AVG D1-6 |
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| D-1 | ||||||
| D-2 | ||||||
| D-3 | ||||||
| D-4 | ||||||
| D-5 | ||||||
| D-6 | ||||||
| D-7 | ||||||
| D-8 | ||||||
| D-9 | ||||||
| D-10 | ||||||
| D-11 | ||||||
| D-12 | ||||||
| D-13 |