Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Author(s):
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]
Total Authors: 7
Affiliation:
[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
Total Affiliations: 2
Document type: Journal article
Source: JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS; v. 213, FEB 2021.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 18/02692-0 - Analysis of HILDCAA / HILDCAA events * based on geomagnetic indices and monitoring the SOL-EARTH relationship (ANEHMONA)
Grantee:Isabelle Cristine Pellegrini Lamin
Support Opportunities: Scholarships in Brazil - Scientific Initiation