metadata
license: mit
size_categories:
- 100B<n<1T
Surya-Bench Solar wind prediction Task
This foundation model task uses the foundation model to predict the solar wind measurements at L1 from NASA OMNI dataset. The dataset includes Speed, ("V"), Bx (GSE), By (GSM), Bz (GSM) and number density (N). For the foundation model prediction task, we only consider the wind speed from the dataset. In this dataset, we have the training set (typically 1 Jan -- 31 Aug), the validation set (1 Sept -- 31 October), and remaining as test set. We note that 3 high speed streams have been considered separately as testing sets to evaluate the performance of any model.
The data are stored as csv files, and can be accesed through pandas, for instance.
Dataset Details
| Field | Description |
|---|---|
| Temporal Coverage | 2010-05-01 to 2023-12-31 |
| File Format | .csv |
| Data Shape | (1, 5) |
| Number of Time Steps | 120748 |
| Cadence | hourly |
| Parameter to be considered | V |
Authors
Vishal Upendran, [email protected]
