mirror of
https://github.com/K-Dense-AI/claude-scientific-skills.git
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c7c5bc21ff
- 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)
188 lines
4.4 KiB
JSON
188 lines
4.4 KiB
JSON
{
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"model": "TimesFM 1.0 (200M) PyTorch",
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"input": {
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"source": "NOAA GISTEMP Global Temperature Anomaly",
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"n_observations": 36,
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"date_range": "2022-01 to 2024-12",
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"mean_anomaly_c": 1.09
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},
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"forecast": {
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"horizon": 12,
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"dates": [
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"2025-01",
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"2025-02",
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"2025-03",
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"2025-04",
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"2025-05",
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"2025-06",
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"2025-07",
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"2025-08",
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"2025-09",
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"2025-10",
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"2025-11",
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"2025-12"
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],
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"point": [
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1.25933837890625,
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1.285666823387146,
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1.2950127124786377,
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1.2207623720169067,
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1.170255422592163,
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1.1455552577972412,
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1.1702347993850708,
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1.2026824951171875,
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1.1909748315811157,
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1.1490840911865234,
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1.080478549003601,
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1.0613453388214111
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],
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"quantiles": {
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"10%": [
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1.2481880187988281,
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1.2773758172988892,
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1.286991834640503,
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1.2084007263183594,
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1.1533130407333374,
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1.1275498867034912,
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1.1510555744171143,
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1.1859495639801025,
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1.1784849166870117,
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1.1264795064926147,
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1.0624356269836426,
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1.036609172821045
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],
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"20%": [
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1.1407020092010498,
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1.1406043767929077,
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1.126852035522461,
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1.0352504253387451,
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0.9691494703292847,
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0.9420379400253296,
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0.9503718018531799,
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0.970925509929657,
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0.9594371318817139,
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0.9079477190971375,
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0.8361266255378723,
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0.8022069334983826
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],
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"30%": [
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1.1880751848220825,
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1.1960833072662354,
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1.187617301940918,
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1.104191780090332,
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1.0431063175201416,
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1.01105535030365,
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1.0347577333450317,
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1.0594383478164673,
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1.040370225906372,
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0.9952926635742188,
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0.9259791970252991,
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0.8952187299728394
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],
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"40%": [
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1.2137157917022705,
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1.232267141342163,
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1.2349879741668701,
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1.151865005493164,
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1.0932612419128418,
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1.0658776760101318,
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1.084773302078247,
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1.1106674671173096,
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1.1036059856414795,
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1.0548235177993774,
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0.9882403016090393,
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0.9593706727027893
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],
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"50%": [
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1.2394564151763916,
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1.2593891620635986,
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1.267505168914795,
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1.1853008270263672,
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1.127617597579956,
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1.1061187982559204,
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1.128767728805542,
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1.1579902172088623,
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1.1511956453323364,
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1.1052223443984985,
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1.03863525390625,
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1.0152238607406616
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],
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"60%": [
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1.25933837890625,
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1.285666823387146,
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1.2950127124786377,
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1.2207623720169067,
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1.170255422592163,
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1.1455552577972412,
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1.1702347993850708,
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1.2026824951171875,
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1.1909748315811157,
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1.1490840911865234,
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1.080478549003601,
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1.0613453388214111
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],
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"70%": [
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1.27677321434021,
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1.3110136985778809,
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1.3284480571746826,
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1.2566629648208618,
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1.2019660472869873,
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1.1806211471557617,
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1.2114834785461426,
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1.2399210929870605,
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1.2390201091766357,
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1.1897773742675781,
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1.1281580924987793,
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1.1032856702804565
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],
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"80%": [
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1.2971320152282715,
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1.3400218486785889,
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1.3547290563583374,
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1.2898554801940918,
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1.2390310764312744,
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1.2180578708648682,
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1.248227596282959,
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1.2842004299163818,
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1.2832940816879272,
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1.240414023399353,
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1.175971508026123,
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1.153149962425232
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],
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"90%": [
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1.3239599466323853,
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1.3751201629638672,
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1.403548240661621,
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1.3310348987579346,
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1.2891905307769775,
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1.2702757120132446,
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1.2997852563858032,
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1.3408125638961792,
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1.3354730606079102,
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1.286876916885376,
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1.2283769845962524,
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1.2169079780578613
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],
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"99%": [
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1.3678879737854004,
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1.4253658056259155,
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1.4642648696899414,
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1.40165376663208,
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1.3632389307022095,
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1.3453660011291504,
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1.380732536315918,
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1.4195259809494019,
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1.416972041130066,
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1.3775466680526733,
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1.3122477531433105,
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1.2959520816802979
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]
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}
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},
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"summary": {
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"forecast_mean_c": 1.186,
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"forecast_max_c": 1.295,
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"forecast_min_c": 1.061,
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"vs_last_year_mean": -0.067
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}
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} |