1 / 4

Probabilistic Solar Particle Flux Forecast Modeling

Probabilistic Solar Particle Flux Forecast Modeling. Myung-Hee Y. Kim and Francis A. Cucinotta. SPE Database for the Recent Solar Cycles. 19 20 21 22 23. Model-based Prediction of SPE Frequency

idalia
Download Presentation

Probabilistic Solar Particle Flux Forecast Modeling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Probabilistic Solar Particle Flux Forecast Modeling Myung-Hee Y. Kim and Francis A. Cucinotta

  2. SPE Database for the Recent Solar Cycles 19 20 21 22 23

  3. Model-based Prediction of SPE Frequency based on the Measurements of SPE Flux Propensity of SPEs: Hazard Function of Offset b Distribution Density Function 19 20 21 22 23 m=1783rd day Typical Nonspecific Future Cycle

  4. Approaches • Cumulative frequency distribution of recorded SPEs • Model for the realistic application and the dependence • of multipleSPEs: • Non-constant hazard function defined for the best propensity of SPE data in space era • Non-homogenous Poisson process model for SPE frequency in an arbitrary mission period • Cumulative probability of SPE occurrence during a given mission period using fitted Poisson model • 3. Simulation of F30, 60, or 100 distribution for each mission periods by a random draw from Gamma distribution

More Related