Weather forecast
active 2024-08-21 → 2026-07-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 702 days from 2024-08-21 to 2026-07-23. Pushes: 285 total, peak 21 in a day. Pull requests: 103 total, peak 7 in a day. Issues: 95 total, peak 3 in a day. Comments: 261 total, peak 9 in a day. Stars: 615 total, peak 52 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| wesselb | 415 | 165 | 68 | 139 |
| megstanley | 81 | 33 | 10 | 5 |
| a-lucic | 45 | 23 | 9 | 1 |
| github-actions[bot] | 45 | 45 | 0 | 0 |
| scottcha | 19 | 0 | 1 | 12 |
| temporaer | 17 | 16 | 0 | 0 |
| github-advanced-security[bot] | 13 | 0 | 0 | 9 |
| leonardledy | 13 | 0 | 1 | 9 |
| ShileiCao | 9 | 0 | 0 | 1 |
| qqydss | 7 | 0 | 0 | 4 |
| isaaccorley | 7 | 0 | 2 | 3 |
| microsoft-github-policy-service[bot] | 7 | 0 | 0 | 7 |
| firatozdemir | 7 | 0 | 0 | 7 |
| rchan26 | 6 | 0 | 0 | 3 |
| sergioleonluis | 6 | 0 | 0 | 4 |
| eliotwalt | 6 | 0 | 0 | 5 |
| XYJ-NB | 4 | 0 | 0 | 3 |
| BigShuiTai | 4 | 0 | 0 | 1 |
| khalilv | 4 | 0 | 0 | 2 |
| wongchieh | 4 | 0 | 0 | 2 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#180wesselb2026-02-13 11:05Question: How did you mitigate ERA5 I/O bottlenecks / huge dataset reads?
- Issue comment#150SasankhM2026-01-16 03:41Efficient Way to Pre-Download ERA5 inputs and Load them for Fine-Tuning
- Issue#178MahanAbbassi2026-01-16 00:18Using Aurora model for prediction for a specific location
- Issue#175Shikamaru-Nara17292025-12-02 21:52Question about forcing/dynamic variables
- Issue comment#174seriouschenwannachange-art2025-11-22 07:48How to run such a memory intensive model
- Issue comment#174seriouschenwannachange-art2025-11-22 07:16How to run such a memory intensive model
- Pull request#173Shikamaru-Nara17292025-11-20 06:29
- Issue comment#169wesselb2025-11-17 08:22Unit test fail: `test_aurora_small`
- Issue comment#169wesselb2025-11-16 19:50Unit test fail: `test_aurora_small`
- Pull request#168wesselb2025-11-15 19:47
- Issue#166wongchieh2025-11-05 07:31Is it possible to get ensemble version ?
- Issue comment#149WangjieYao0002025-10-30 08:32reproducing the prediction results of the aurora 0.1-degree model
- Issue comment#164wesselb2025-10-22 10:27ValueError: Longitudes must be in the range [0, 360) when using 0.1° resolution AuroraHighRes model
- Issue comment#161wesselb2025-10-22 09:28Aurora Air Pollution value explosion and collapse
- Issue#162wongchieh2025-10-20 09:33Out of memory when finetuning model
- Issue comment#80wongchieh2025-10-20 05:44CUDA Out of Memory – Aurora ERA5 Deployment
- Issue comment#158MarinoMarrocu2025-10-18 15:31Shape Mismatch Between Input Batch and Predicted Output
- Issue comment#161wesselb2025-10-17 14:24Aurora Air Pollution value explosion and collapse
- Issue comment#160wesselb2025-10-17 08:58How to get 100 m wind
- Issue comment#130wongchieh2025-10-16 09:01Questions about finetuning Aurora on 9 new variables (~3 days / epoch on an H100 95 GB)
- Issue comment#156wesselb2025-10-01 17:01Regarding variable weights and normalisation statistics for fine-tuning
- Issue comment#156wesselb2025-09-25 15:11Regarding variable weights and normalisation statistics for fine-tuning
- Issue#156hwhitbymet2025-09-25 11:19Regarding variable weights and normalisation statistics for fine-tuning
- Issue comment#155wesselb2025-09-23 19:38how to predict rainfall ?
- Issue comment#155wesselb2025-09-23 07:25how to predict rainfall ?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 615 stars here means stars gained during the window, not the repo's star count.