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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Principal component analysis in the modeling of HILDCAAs during the Solar Minimum of Cycle 23/24

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Autor(es):
Klausner, Virginia [1] ; Lamin, Isabelle Cristine Pellegrini [1] ; Ojeda-Gonzalez, Arian [1] ; Macedo, Humberto Gimenes [1] ; Candido, Claudia Maria Nicoli [2] ; Prestes, Alan [1] ; Cezarini, Marina Vedelago [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Vale Paraiba Univ, UNIVAP, BR-12244000 Sao Jose Dos Campos, SP - Brazil
[2] INPE, Natl Inst Space Res, BR-12227010 Sao Jose Dos Campos, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS; v. 213, FEB 2021.
Citações Web of Science: 0
Resumo

In this article, we propose a new approach to model the high-intensity, long-duration, continuous AE (Auroral Electrojet) activity (HILDCAA) by relaxing one of the criteria originally designed, based on the interplanetary features during the unusual Solar Minimum of Cycle 23/24 (SMC23/24). This relaxation does not intend to suppress or modify the original HILDCAAs' conception, but propose a new view of the same phenomena by enlarging the sample of events, which inturn may improve space weather monitoring and prediction programs. To assess and classify the Alfvenity associated with HILDCAAs, the values of 4h-Windowed Pearson Cross-Correlation (4WPCC) between the IMF components and the solar wind speed components observed in situ at the Lagrangian point L1 (1 AU) were evaluated. The principal component analysis (PCA) was performed on the dataset and, from the first three principal components, which represent (similar to)65% of the accumulative percent variance, we applied principal component regression (PCR) in each of the followin g parameters: the AE index, the Interplanetary Magnetic Field (IMF) components, the plasma density, the solar wind speed , the temperature, the IMF magnitude, and the SYM-H geomagnetic index. Furthermore, we applied Multiple Linear Regression (MLR) to establish a linear model to express the AE index in terms of the PCR-based model parameters. The AE MLR-based model demonstrated to hold a prognosis potential for HILDCAAs. Despite that, this model is only suitable for the SMC23/24. In this sense, this model might be implemented a real-time analysis for short-term HILDCAA prognosis in the near future. (AU)

Processo FAPESP: 18/02692-0 - Análise de eventos HILDCAAs/HILDCAAs* com base em índices geomagnéticos e monitoramento da relação Sol-Terra (ANEHMONA)
Beneficiário:Isabelle Cristine Pellegrini Lamin
Modalidade de apoio: Bolsas no Brasil - Iniciação Científica