A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011
Abstract There is an increasing need for the development of a robust space weather forecasting framework. State‐of‐the‐art MHD space weather forecasting frameworks are based upon the Potential Field Source Surface (PFSS) and Schatten Current Sheet (SCS) extrapolation models for the magnetic field us...
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Wiley
2022-09-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2022SW003069 |
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| author | Sandeep Kumar Nandita Srivastava |
| author_facet | Sandeep Kumar Nandita Srivastava |
| author_sort | Sandeep Kumar |
| collection | DOAJ |
| description | Abstract There is an increasing need for the development of a robust space weather forecasting framework. State‐of‐the‐art MHD space weather forecasting frameworks are based upon the Potential Field Source Surface (PFSS) and Schatten Current Sheet (SCS) extrapolation models for the magnetic field using synoptic magnetograms. These models create a solar wind (SW) background for the simulations using empirical relations of Wang, Sheeley and Arge (WSA), at the inner boundary of heliosphere and have been used to simulate coronal mass ejections for specific cases in previous studies. Besides these MHD frameworks, the Heliospheric Upwind eXtrapolation (HUX) technique can extrapolate SW from inner heliospheric boundaries to L1 and can give a reliable estimate of the SW velocity at L1 comparable to MHD models but in a short computational time. We carried out an extensive parametric study of the performance of the Model1 (PFSS+WSA+HUX) and Model2 (PFSS+SCS+WSA+HUX) for SW velocity prediction at L1. We implemented this framework on 60 Carrington Rotations from CR2047 to CR2107 during 2006–2011, covering the descending and deep minimum phase of solar cycle (SC) 23, and the ascending phase of SC 24. Our results show an unexpected decrease in the performance of the framework during the deep minimum phase of cycle 23, which is attributed to the decrease in the observed coronal hole area. As SC 24 began, this decreasing trend vanished due to an increase in the coronal hole (CH) area at the low and mid‐latitudes, suggesting a good correlation between the performance of the framework and the variation in the CH area. |
| format | Article |
| id | doaj-art-d4fe26f2d14849fda5deb53c4b2fcfbc |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-d4fe26f2d14849fda5deb53c4b2fcfbc2025-01-14T16:31:13ZengWileySpace Weather1542-73902022-09-01209n/an/a10.1029/2022SW003069A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011Sandeep Kumar0Nandita Srivastava1Udaipur Solar Observatory Physical Research Laboratory Udaipur IndiaUdaipur Solar Observatory Physical Research Laboratory Udaipur IndiaAbstract There is an increasing need for the development of a robust space weather forecasting framework. State‐of‐the‐art MHD space weather forecasting frameworks are based upon the Potential Field Source Surface (PFSS) and Schatten Current Sheet (SCS) extrapolation models for the magnetic field using synoptic magnetograms. These models create a solar wind (SW) background for the simulations using empirical relations of Wang, Sheeley and Arge (WSA), at the inner boundary of heliosphere and have been used to simulate coronal mass ejections for specific cases in previous studies. Besides these MHD frameworks, the Heliospheric Upwind eXtrapolation (HUX) technique can extrapolate SW from inner heliospheric boundaries to L1 and can give a reliable estimate of the SW velocity at L1 comparable to MHD models but in a short computational time. We carried out an extensive parametric study of the performance of the Model1 (PFSS+WSA+HUX) and Model2 (PFSS+SCS+WSA+HUX) for SW velocity prediction at L1. We implemented this framework on 60 Carrington Rotations from CR2047 to CR2107 during 2006–2011, covering the descending and deep minimum phase of solar cycle (SC) 23, and the ascending phase of SC 24. Our results show an unexpected decrease in the performance of the framework during the deep minimum phase of cycle 23, which is attributed to the decrease in the observed coronal hole area. As SC 24 began, this decreasing trend vanished due to an increase in the coronal hole (CH) area at the low and mid‐latitudes, suggesting a good correlation between the performance of the framework and the variation in the CH area.https://doi.org/10.1029/2022SW003069solar windWSAspace weathermid and low latitude coronal hole area |
| spellingShingle | Sandeep Kumar Nandita Srivastava A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 Space Weather solar wind WSA space weather mid and low latitude coronal hole area |
| title | A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 |
| title_full | A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 |
| title_fullStr | A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 |
| title_full_unstemmed | A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 |
| title_short | A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 |
| title_sort | parametric study of performance of two solar wind velocity forecasting models during 2006 2011 |
| topic | solar wind WSA space weather mid and low latitude coronal hole area |
| url | https://doi.org/10.1029/2022SW003069 |
| work_keys_str_mv | AT sandeepkumar aparametricstudyofperformanceoftwosolarwindvelocityforecastingmodelsduring20062011 AT nanditasrivastava aparametricstudyofperformanceoftwosolarwindvelocityforecastingmodelsduring20062011 AT sandeepkumar parametricstudyofperformanceoftwosolarwindvelocityforecastingmodelsduring20062011 AT nanditasrivastava parametricstudyofperformanceoftwosolarwindvelocityforecastingmodelsduring20062011 |