THE SPACE WEATHER REANALYSIS
Rubrics: ORIGINAL ARTICLES
Authors:
1.
National Geophysical Data Center, Boulder, Co., USA
2.
National Geophysical Data Center, Boulder, Co., USA
3.
Geophysical Center RAS, Moscow, Russia
Type:
Article
Pages:
from 1
to 5
Status:
Published
Received:
25.04.2008
Accepted:
25.04.2008
Published:
25.04.2008
Language:
English
Keywords:
space weather representation, monitoring systems, data mining, near-earth space environment.
Abstract (English):
The Space Weather Analysis SWA is an 11 year space weather representation using the output of physically consistent data-driven space weather models. The resulting product is an enhanced look at the space environment on consistent grids, time resolution, coordinate systems and containing key fields allowing a user with modeling capability to quickly and easily incorporate the impact of the near-Earth space climate in environmentally sensitive models. The results will be made available via the eGY standards along with tools for intelligent data mining, classification and event detection developed jointly with WDC-B, Russia which will be applied to the historical space-weather database.
The Space Weather Analysis SWA is an 11 year space weather representation using the output of physically consistent data-driven space weather models. The resulting product is an enhanced look at the space environment on consistent grids, time resolution, coordinate systems and containing key fields allowing a user with modeling capability to quickly and easily incorporate the impact of the near-Earth space climate in environmentally sensitive models. The results will be made available via the eGY standards along with tools for intelligent data mining, classification and event detection developed jointly with WDC-B, Russia which will be applied to the historical space-weather database.
Keywords:
space weather representation, monitoring systems, data mining, near-earth space environment.
space weather representation, monitoring systems, data mining, near-earth space environment.
1. Kalnay, Bull. Amer. Meteor. Soc., v. 77, 1996., doi:https://doi.org/10.1175/1520-04771996077lt;0437:TNYRPgt;2.0.CO;2
2. Kamide, Handbook of the Solar Terrestrial Environment, 2007.
3. Kihn, Data Science Journal, v. 3, 2004., doi:https://doi.org/10.2481/dsj.3.10
4. O'Loughlin, Radio Sci., v. 32, no. 5, 1997., doi:https://doi.org/10.1029/97RS00662
5. Richmond, Adv. Space Res., v. 12, 1992., doi:https://doi.org/10.1016/0273-11779290040-5
6. Ridley, Journal of Atmospheric and Solar-Terrestrial Physics, v. 68, no. 8, 2006., doi:https://doi.org/10.1016/j.jastp.2006.01.008
