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juliensimon/auroral-electrojet-index

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Hugging Face2026-03-27 更新2026-03-29 收录
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--- license: cc-by-4.0 pretty_name: "Auroral Electrojet (AE) Index" language: - en description: "Hourly Auroral Electrojet (AE/AU/AL/AO) indices from WDC Kyoto — measures auroral zone magnetic activity driven by magnetospheric substorms." task_categories: - time-series-forecasting - tabular-regression tags: - space - geomagnetic - auroral-electrojet - ae-index - space-weather - kyoto - open-data - tabular-data size_categories: - 100K<n<1M configs: - config_name: default data_files: - split: train path: data/ae_index.parquet default: true --- # Auroral Electrojet (AE) Index *Part of the [Space Weather Datasets](https://huggingface.co/collections/juliensimon/space-weather-datasets-69c24cae98f1666f2101ca70) collection on Hugging Face.* ![Update AE Index](https://github.com/juliensimon/space-datasets/actions/workflows/update-ae-index.yml/badge.svg) ![Updated](https://img.shields.io/badge/dynamic/json?url=https://raw.githubusercontent.com/juliensimon/space-datasets/main/status.json&query=$['ae-index']&label=updated&color=brightgreen) Hourly Auroral Electrojet indices from [WDC Kyoto](https://wdc.kugi.kyoto-u.ac.jp/aeasy/). Covers **2021-01-01** to **2026-03-08** with **45,312** hourly readings. ## Dataset description The AE index measures auroral zone magnetic activity caused by enhanced ionospheric currents flowing in the auroral oval. It is derived from geomagnetic variations at 10-13 stations along the auroral zone. The AE family includes four indices: - **AE** (Auroral Electrojet): overall auroral activity (AU - AL) - **AU** (Auroral Upper): measures eastward electrojet intensity - **AL** (Auroral Lower): measures westward electrojet intensity - **AO** (Auroral Origin): baseline level (AU + AL) / 2 AE complements the Dst index (ring current) by specifically tracking substorm-driven auroral activity, which is critical for high-latitude communications and power grids. ## Schema | Column | Type | Description | |--------|------|-------------| | `datetime` | datetime | Observation time (UTC, hourly) | | `ae_index` | int | AE value in nanotesla (nT) | | `au_index` | int | AU value in nanotesla (nT) | | `al_index` | int | AL value in nanotesla (nT), typically negative | | `ao_index` | int | AO value in nanotesla (nT) | | `quality` | string | Data quality: "provisional" or "realtime" | | `is_active` | bool | True if AE >= 500 nT | | `activity_level` | string | "quiet" (< 100), "moderate" (100-300), "active" (300-500), "minor_storm" (500-1000), "major_storm" (> 1000) | ## Quick stats - **45,312** hourly readings (2021-01-01 to 2026-03-08) - **4,260** active hours (AE >= 500 nT) - Peak AE: **2597 nT** - Data quality: 0 provisional, 45,312 realtime ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/auroral-electrojet-index", split="train") df = ds.to_pandas() # Substorm activity active = df[df["ae_index"] >= 500].sort_values("ae_index", ascending=False) # AE time series df["year"] = df["datetime"].dt.year annual = df.groupby("year")["ae_index"].mean() # Compare AE with AL (westward electrojet drives substorms) import matplotlib.pyplot as plt storm = df[(df["datetime"] >= "2024-05-10") & (df["datetime"] <= "2024-05-15")] plt.plot(storm["datetime"], storm["ae_index"], label="AE") plt.plot(storm["datetime"], storm["al_index"], label="AL") plt.legend(); plt.ylabel("nT"); plt.title("AE/AL during May 2024 storm") ``` ## Data source [WDC for Geomagnetism, Kyoto](https://wdc.kugi.kyoto-u.ac.jp/aeasy/). Two quality tiers: - **Provisional**: Visually screened but not final - **Real-time**: Quicklook values, may be revised ## Update schedule Daily at 19:00 UTC via [GitHub Actions](https://github.com/juliensimon/space-datasets). ## Related datasets - [dst-index](https://huggingface.co/datasets/juliensimon/dst-index) — Dst geomagnetic storm index (ring current) - [space-weather-indices](https://huggingface.co/datasets/juliensimon/space-weather-indices) — Daily Kp, Ap, F10.7 indices - [kp-index](https://huggingface.co/datasets/juliensimon/kp-index) — Kp geomagnetic index ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## Support If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/auroral-electrojet-index) and share feedback in the Community tab! Also consider giving a ⭐️ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo. ## Citation ```bibtex @dataset{auroral_electrojet_index, author = {Simon, Julien}, title = {Auroral Electrojet (AE) Index}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/auroral-electrojet-index} } ``` ### Data source [WDC for Geomagnetism, Kyoto](https://wdc.kugi.kyoto-u.ac.jp/aeasy/) ## License MIT (pipeline code). AE data: free for non-commercial use per WDC Kyoto terms.
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