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Dynamic SEP event probability forecasts
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AbstractThe forecasting of solar energetic particle (SEP) event probabilities at Earth has been based primarily on the estimates of magnetic free energy in active regions and on the observations of peak fluxes and fluences of large (≥ M2) solar X‐ray flares. These forecasts are typically issued for the next 24 h or with no definite expiration time, which can be deficient for time‐critical operations when no SEP event appears following a large X‐ray flare. It is therefore important to decrease the event probability forecast with time as a SEP event fails to appear. We use the NOAA listing of major (≥10 pfu) SEP events from 1976 to 2014 to plot the delay times from X‐ray peaks to SEP threshold onsets as a function of solar source longitude. An algorithm is derived to decrease the SEP event probabilities with time when no event is observed to reach the 10 pfu threshold. In addition, we use known SEP event size distributions to modify probability forecasts when SEP intensity increases occur below the 10 pfu event threshold. An algorithm to provide a dynamic SEP event forecast, Pd, for both situations of SEP intensities following a large flare is derived.
Title: Dynamic SEP event probability forecasts
Description:
AbstractThe forecasting of solar energetic particle (SEP) event probabilities at Earth has been based primarily on the estimates of magnetic free energy in active regions and on the observations of peak fluxes and fluences of large (≥ M2) solar X‐ray flares.
These forecasts are typically issued for the next 24 h or with no definite expiration time, which can be deficient for time‐critical operations when no SEP event appears following a large X‐ray flare.
It is therefore important to decrease the event probability forecast with time as a SEP event fails to appear.
We use the NOAA listing of major (≥10 pfu) SEP events from 1976 to 2014 to plot the delay times from X‐ray peaks to SEP threshold onsets as a function of solar source longitude.
An algorithm is derived to decrease the SEP event probabilities with time when no event is observed to reach the 10 pfu threshold.
In addition, we use known SEP event size distributions to modify probability forecasts when SEP intensity increases occur below the 10 pfu event threshold.
An algorithm to provide a dynamic SEP event forecast, Pd, for both situations of SEP intensities following a large flare is derived.
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