Ramos Chipa, Sulamita Marinela

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Ramos Chipa, Sulamita Marinela

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  • Publicacion
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    Observations of electric fields during two partial solar eclipses at the geomagnetic equator
    (2025-12-03)
    Bravo, Manuel A.
    ;
    Fernandez Rojas, Joel Hugo  
    ;
    Godoy, Adán
    ;
    Perez Carpio, Jackson Edgardo  
    ;
    Urra, Benjamín A.
    Abstract. This study presents the first coordinated observations of atmospheric electric field (AEF) and ionospheric plasma drifts during the partial solar eclipses of 2 July 2019 and 14 October 2023, observed near the magnetic equator in Lima, Peru. AEF was measured using a field mill, while ionospheric drifts were obtained from radar observations at the Jicamarca Radio Observatory and local magnetometers. The two events displayed contrasting electrodynamic responses: in 2019, AEF variations were ambiguous due to meteorological fluctuations, while in 2023, clearer weather conditions revealed distinct decreases in both surface AEF and ionospheric vertical drift near maximum obscuration. These results demonstrate the variable nature of eclipse-time electrodynamics and demonstrate that simultaneous measurements of AEF and ionospheric electric field are crucial for elucidating the mechanisms of vertical coupling between atmospheric layers. Such coordinated observations provide preliminary insight into how solar and terrestrial drivers jointly modulate the near-surface electric environment, contributing to a more comprehensive understanding of atmosphere–ionosphere interactions in low-latitude regions.
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    Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru
    (2022-04-01)
    Soria Quijaite, Juan Jesus  
    ;
    Poma Porras, Orlando Alan  
    ;
    Sumire, David A
    ;
    Fernandez Rojas, Joel Hugo  
    ;
    Ramos Chipa, Sulamita Marinela  
    Abstract Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humidity, wind speed and the response variable was global solar radiation, resulting in a model with excellent significance p<0.001 that shows the prediction is effective. The multiple linear regression method was used, finding an average global radiation of 175 W/m2 and predictor variables with average temperature of 19.2 °C, humidity 23.9% and wind speed 1.77 m/s, with the highest temperature in summer recorded at 24.6°C, the highest humidity of 51.2% in autumn, the highest wind speed in summer at 2.63 m/s and the highest maximum global solar radiation in spring with 183 W/m 2 .
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