RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 18, ES4003, doi:10.2205/2018ES000626, 2018

Article Map

• Abstract
• 1. Introduction
• 2. Method
• 3. Data and Application
• 4. Discussion
• 5. Conclusions
• Acknowledgment
• References

• Figure 1. Original time series (upper panel) and derived measure of jumpiness...
• Figure 2. Examples of calculating fuzzy margins for the order ...
• Figure 3. Examples of two events (red color) recognized by the FCARS algorithm...
• Figure 4. Potential jump (red) and fuzzy margins (black) defined for the...
• Figure 5. Earth's coverage by GOES 15 (GOES-West, left) and GOES 13 (GOES-East,...
• Figure 6. 1-day plot (3 April 2010) (a) and 1-hour plot (1000–1100...
• Figure 7. Examples of jump detection using JM algorithm. The original magnetogram...
• Figure 8. Examples of jump detection using JM algorithm. The legend...
• Figure 9. Jump recognition results for each component ...

• Table 1. Jump Recognition Statistics

 
Citation: Soloviev A., Sh. Bogoutdinov, S. Agayan, R. Redmon, T. M. Loto'aniu, H. J. Singer (2018), Automated recognition of jumps in GOES satellite magnetic data, Russ. J. Earth Sci., 18, ES4003, doi:10.2205/2018ES000626.
 

Copyright 2018 by the Geophysical Center RAS.