Multi-Modal Foundation · nasa-ibm-ai4science
Surya Solar Flares
A solar physics model that predicts solar flares from full-disk magnetogram and EUV time series.
What Surya Solar Flares is
Surya Solar Flares is a machine learning model developed by nasa-ibm-ai4science for applications in solar physics and astronomy. It addresses the task of predicting solar flare events using temporal observational data of the Sun.
The model is a fine-tuned version of Surya-1.0 designed to assist researchers in forecasting solar activity by processing full-disk solar observations.
How it works
The model is built on the Surya-1.0 architecture and fine-tuned specifically for solar flare prediction. It operates on time series of full-disk magnetograms and extreme ultraviolet (EUV) solar imagery.
Key facts
- Base model
- Surya-1.0
- Primary task
- Solar flare prediction
- Input modalities
- Full-disk magnetogram and EUV time series
What you can use it for
- Solar flare prediction
- Forecasting solar flare occurrences using sequences of full-disk solar observations.
- Magnetogram time-series analysis
- Evaluating changes in full-disk solar magnetic field observations over time to detect conditions preceding flares.
- Extreme ultraviolet temporal modelling
- Analysing time-series observations in extreme ultraviolet wavelengths to monitor and predict solar eruptive activity.
Run it here
We list this model but cannot run it yet: no pipeline_tag — needs a human.
Everything on this page still applies. Running it needs a loader for this repository, not a bigger machine.
Strengths and limits
Good at
- Fine-tuned directly from the Surya-1.0 base model for solar flare forecasting.
- Designed to incorporate both full-disk magnetogram and extreme ultraviolet time-series data.
Watch out for
- Task-specific adaptation that is focused strictly on solar flare prediction from time-series inputs.
- Detailed evaluation benchmarks and performance metrics are not specified.
Inputs and outputs
You provide
Sequence or text
A protein or nucleotide sequence, or free text — whichever this model was trained on.
You get back
Mean-pooled representation, one vector per input.
Licence
Check the licence before commercial use · apache-2.0
The apache-2.0 licence carries terms worth reading before you depend on it.
Questions
Can I use Surya Solar Flares commercially?
Check the licence before commercial use. The apache-2.0 licence carries terms worth reading before you depend on it.
What is the primary function of Surya Solar Flares?
The model predicts solar flares based on full-disk magnetogram and EUV time-series data.
Which base architecture does this model use?
It is built by fine-tuning the Surya-1.0 foundation model.
Who developed Surya Solar Flares?
The model was developed by the nasa-ibm-ai4science collaboration.
Written from Surya Solar Flares's own documentation (model card). Statements citing a figure that does not appear there are removed before publication. Licence and running details come from our registry.