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Titolo:
An automated procedure for near-real-time Kp estimates
Autore:
Takahashi, K; Toth, BA; Olson, JV;
Indirizzi:
Johns Hopkins Univ, Appl Phys Lab, Laurel, MD 20723 USA Johns Hopkins Univ Laurel MD USA 20723 ppl Phys Lab, Laurel, MD 20723 USA Univ Alaska, Inst Geophys, Fairbanks, AK 99701 USA Univ Alaska Fairbanks AK USA 99701 Inst Geophys, Fairbanks, AK 99701 USA
Titolo Testata:
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
fascicolo: A10, volume: 106, anno: 2001,
pagine: 21017 - 21032
SICI:
0148-0227(20011001)106:A10<21017:AAPFNK>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
INDEXES;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Takahashi, K Johns Hopkins Univ, Appl Phys Lab, 11100 Johns Hopkins Rd, Laurel, MD 20723 USA Johns Hopkins Univ 11100 Johns Hopkins Rd Laurel MD USA 20723
Citazione:
K. Takahashi et al., "An automated procedure for near-real-time Kp estimates", J GEO R-S P, 106(A10), 2001, pp. 21017-21032

Abstract

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 degrees -62 degrees), has values ranging from 0(0) to 9(0) in 28 steps, and is given at 3-hour 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 isdelivered 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) and Kp 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.

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Documento generato il 02/04/20 alle ore 13:02:40