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- Add NOAA GISTEMP global temperature anomaly dataset (36 months, 2022-2024) - Run TimesFM 1.0 PyTorch forecast for 2025 (12-month horizon) - Generate fan chart visualization with 80%/90% confidence intervals - Create comprehensive markdown report with findings and API notes API Discovery: - TimesFM 2.5 PyTorch checkpoint has file format issue (model.safetensors vs expected torch_model.ckpt) - Working API uses TimesFmHparams + TimesFmCheckpoint + TimesFm() constructor - Documented API in GitHub README differs from actual pip package Includes: - temperature_anomaly.csv (input data) - forecast_output.csv (point forecast + quantiles) - forecast_output.json (machine-readable output) - forecast_visualization.png (LFS-tracked) - run_forecast.py (reusable script) - visualize_forecast.py (chart generation) - run_example.sh (one-click runner) - README.md (full report with findings)
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| 1 | date | point_forecast | q10 | q20 | q30 | q40 | q50 | q60 | q70 | q80 | q90 | q99 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 2025-01-01 | 1.2593384 | 1.248188 | 1.140702 | 1.1880752 | 1.2137158 | 1.2394564 | 1.2593384 | 1.2767732 | 1.297132 | 1.32396 | 1.367888 |
| 3 | 2025-02-01 | 1.2856668 | 1.2773758 | 1.1406044 | 1.1960833 | 1.2322671 | 1.2593892 | 1.2856668 | 1.3110137 | 1.3400218 | 1.3751202 | 1.4253658 |
| 4 | 2025-03-01 | 1.2950127 | 1.2869918 | 1.126852 | 1.1876173 | 1.234988 | 1.2675052 | 1.2950127 | 1.328448 | 1.354729 | 1.4035482 | 1.4642649 |
| 5 | 2025-04-01 | 1.2207624 | 1.2084007 | 1.0352504 | 1.1041918 | 1.151865 | 1.1853008 | 1.2207624 | 1.256663 | 1.2898555 | 1.3310349 | 1.4016538 |
| 6 | 2025-05-01 | 1.1702554 | 1.153313 | 0.9691495 | 1.0431063 | 1.0932612 | 1.1276176 | 1.1702554 | 1.201966 | 1.2390311 | 1.2891905 | 1.3632389 |
| 7 | 2025-06-01 | 1.1455553 | 1.1275499 | 0.94203794 | 1.0110554 | 1.0658777 | 1.1061188 | 1.1455553 | 1.1806211 | 1.2180579 | 1.2702757 | 1.345366 |
| 8 | 2025-07-01 | 1.1702348 | 1.1510556 | 0.9503718 | 1.0347577 | 1.0847733 | 1.1287677 | 1.1702348 | 1.2114835 | 1.2482276 | 1.2997853 | 1.3807325 |
| 9 | 2025-08-01 | 1.2026825 | 1.1859496 | 0.9709255 | 1.0594383 | 1.1106675 | 1.1579902 | 1.2026825 | 1.2399211 | 1.2842004 | 1.3408126 | 1.419526 |
| 10 | 2025-09-01 | 1.1909748 | 1.1784849 | 0.95943713 | 1.0403702 | 1.103606 | 1.1511956 | 1.1909748 | 1.2390201 | 1.2832941 | 1.3354731 | 1.416972 |
| 11 | 2025-10-01 | 1.1490841 | 1.1264795 | 0.9079477 | 0.99529266 | 1.0548235 | 1.1052223 | 1.1490841 | 1.1897774 | 1.240414 | 1.2868769 | 1.3775467 |
| 12 | 2025-11-01 | 1.0804785 | 1.0624356 | 0.8361266 | 0.9259792 | 0.9882403 | 1.0386353 | 1.0804785 | 1.1281581 | 1.1759715 | 1.228377 | 1.3122478 |
| 13 | 2025-12-01 | 1.0613453 | 1.0366092 | 0.80220693 | 0.89521873 | 0.9593707 | 1.0152239 | 1.0613453 | 1.1032857 | 1.15315 | 1.216908 | 1.2959521 |