Computer Science – Performance
Scientific paper
May 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agusm..sm61b08t&link_type=abstract
American Geophysical Union, Spring Meeting 2001, abstract #SM61B-08
Computer Science
Performance
2784 Solar Wind/Magnetosphere Interactions, 2794 Instruments And Techniques
Scientific paper
The Kp index indicates geomagnetic disturbances in a simple manner. The index is derived from magnetic field data acquired at 11 ground stations distributed worldwide at subauroral latitudes (49-62 degrees), has values ranging from 0o to 9o in 28 steps, and is given at 3-h intervals. Kp is widely used to study the dynamic relationship between the solar wind and the magnetosphere, to empirically specify the location of the plasmapause and other plasma regions/boundaries, and also as input to various models of the magnetosphere and ionosphere. Currently the official Kp index is delivered with a delay of many days, so it is not useful for near-real-time monitoring of the state of the magnetosphere. We have developed an algorithm to derive an estimated Kp, denoted Kp-est, using magnetometer data from nine ground stations that can transmit data in near-real time. The algorithm is fully automated and includes a data cleaning routine, a quiet-day-curve routine, and a routine to convert magnetic field deviations to Kp-est. We have evaluated the performance of Kp-est using archived magnetometer data and the official Kp. When data from all of the nine stations are available, the linear correlation coefficient between Kp-est and Kp is 0.93. In addition, we find that a similarly high correlation between Kp-est andKp can occur when data from only one to three stations are used. We conclude that an automated procedure using data from a small number of ground stations can generate Kp estimates that are reliable in the context of near-real-time monitoring of space weather.
Olson John V.
Takahashi Keitaro
Toth Bruce A.
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