Influence of the uncertainties in the Solar Quiet Reference Field (SQRF) model for deriving geomagnetic indices over South America

2021 ◽  
Vol 219 ◽  
pp. 105645
Author(s):  
S.S. Chen ◽  
C.M. Denardini ◽  
L.C.A. Resende ◽  
R.A.J. Chagas ◽  
J. Moro ◽  
...  
Keyword(s):  
South America ◽  
Reference Field ◽  
Geomagnetic Indices

scholarly journals Evaluation of the Solar Quiet Reference Field (SQRF) Model for Space Weather Applications in the South America Magnetic Anomaly

2021 ◽  
Author(s):  
Sony Su Chen ◽  
Clezio Marcos Denardini ◽  
Láysa C. A. Resende ◽  
Ronan A. J. Chagas ◽  
Juliano Moro ◽  
...  
Keyword(s):  
South America ◽  
Magnetic Anomaly ◽  
Space Weather ◽  
Weather Prediction ◽  
Magnetic Data ◽  
Field Variation ◽  
Reference Field ◽  
The South ◽  
Data Set ◽  
Dip Angle

Abstract In the present work, we evaluate the accuracy of the Solar Quiet Reference Field (SQRF) model for estimating and predicting the geomagnetic solar quiet (Sq) daily field variation in the South America Magnetic Anomaly (SAMA) region. This model is based on the data set of fluxgate magnetometers from 12 magnetic stations of the Embrace Magnetometer Network (Embrace MagNet) from 2010 to 2018. The model predicts the monthly average horizontal field of the geomagnetic quiet (Sq-H) daily variation solving a set of equations for the specified geographic coordinates in terms of the solar cycle activity, the day of the year, and the universal time. We carried out two comparisons between the prediction and observational data of the Sq-H field. The first part attempts to evaluate the accuracy for estimating the Sq-H field over Medianeira (MED, 25.30°S, 54.11°W, dip angle: -33.45°) by using linear interpolation on the SQRF coefficients and compared it with the data collected from April to December in 2018. It worth mentioning that none of the datasets collected at MED is part of the dataset used to build the SQRF model, hence the need to do interpolation. The second part of the analysis attempts to evaluate the accuracy for predicting the quiet daily field variation over Cachoeira Paulista (CXP, 22.70°S, 45.01°W, dip angle: -38.48°). The dataset collected at CXP prior to the period analyzed in the present work is part of the dataset used to build the SQRF model. Thus, the accuracy of the prediction is tested using magnetic data outside the time interval considered in the model. The results of the prediction for both locations show that the outputs from this empirical model present a good agreement with the Sq-H field obtained from the magnetic field data. The accuracy of the SQRF model (high correlation, r>0.9) provides a high potential for estimating and predicting geomagnetic quiet daily field variation for space weather applications, improving the scientific insight and capability of space weather prediction centers to predict the variability of the regular solar quiet field variation as reference conditions, which may include areas with no measurements.

scholarly journals Evaluation of the Solar Quiet Reference Field (SQRF) Model for Space Weather Applications in the South America Magnetic Anomaly

2020 ◽  
Author(s):  
Sony Su Chen ◽  
Clezio Marcos Denardini ◽  
Láysa C. A. Resende ◽  
Ronan A. J. Chagas ◽  
Juliano Moro ◽  
...  
Keyword(s):  
South America ◽  
Magnetic Anomaly ◽  
Space Weather ◽  
Linear Interpolation ◽  
Field Variation ◽  
Reference Field ◽  
The South ◽  
Data Set ◽  
Magnetic Field Data ◽  
Dip Angle

Abstract In the present work, we evaluate the accuracy of the Solar Quiet Reference Field (SQRF) model for estimating and predicting the geomagnetic solar quiet (Sq) daily field variation in the South America Magnetic Anomaly (SAMA) region. This model is based on the data set of fluxgate magnetometers from 12 magnetic stations of the Embrace Magnetometer Network (Embrace MagNet) from 2010 to 2018. The model predicts the monthly average horizontal field of the geomagnetic quiet (Sq-H) daily variation solving a set of equations for the specified geographic coordinates in terms of the solar cycle activity, the day of the year, and the universal time. We carried out two comparisons between the prediction and observational data of the Sq-H field. The first part attempts to evaluate the accuracy for estimating the Sq-H field over Medianeira (25.30°S, 54.11°W, dip angle: -33.45°) by using linear interpolation on the SQRF coefficients. The second part of the analysis attempts to evaluate the accuracy for predicting the quiet daily field variation over Cachoeira Paulista (22.70°S, 45.01°W, dip angle: -38.48°). The results of the prediction for both locations show that this empirical model presents a good agreement with the Sq-H field obtained from the magnetic field data. The accuracy of the SQRF model (high correlation, r >0.9) provides a high potential for estimating and predicting geomagnetic quiet daily field variation for space weather applications.

scholarly journals Evaluation of the Solar Quiet Reference Field (SQRF) model for space weather applications in the South America Magnetic Anomaly

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Sony Su Chen ◽  
Clezio Marcos Denardini ◽  
Láysa Cristina Araujo Resende ◽  
Ronan Arraes Jardim Chagas ◽  
Juliano Moro ◽  
...  
Keyword(s):  
South America ◽  
Magnetic Anomaly ◽  
Space Weather ◽  
Weather Prediction ◽  
Magnetic Data ◽  
Field Variation ◽  
Reference Field ◽  
The South ◽  
Data Set ◽  
Dip Angle

AbstractIn the present work, we evaluate the accuracy of the Solar Quiet Reference Field (SQRF) model for estimating and predicting the geomagnetic solar quiet (Sq) daily field variation in the South America Magnetic Anomaly (SAMA) region. This model is based on the data set of fluxgate magnetometers from 12 magnetic stations of the Embrace Magnetometer Network (Embrace MagNet) from 2010 to 2018. The model predicts the monthly average horizontal field of the geomagnetic quiet (Sq-H) daily variation solving a set of equations for the specified geographic coordinates in terms of the solar cycle activity, the day of the year, and the universal time. We carried out two comparisons between the prediction and observational data of the Sq-H field. The first part attempts to evaluate the accuracy for estimating the Sq-H field over Medianeira (MED, 25.30° S, 54.11° W, dip angle: − 33.45°) by using linear interpolation on the SQRF coefficients and comparing it with the data collected from April to December in 2018. None of the datasets collected at MED is part of the dataset used to build the SQRF model. The second part of the analysis attempts to evaluate the accuracy for predicting the quiet daily field variation over Cachoeira Paulista (CXP, 22.70° S, 45.01° W, dip angle: − 38.48°). The dataset collected at CXP before the period analyzed in the present work is part of the dataset used to build the SQRF model. Thus, the prediction accuracy is tested using magnetic data outside the time interval considered in the model. The prediction results for both locations show that this empirical model’s outputs present a good agreement with the Sq-H field obtained from the ground-based magnetometer measurements. The accuracy of the SQRF model (high correlation, r > 0.9) indicates a high potential for estimating and predicting geomagnetic quiet daily field variation. Concerning space weather applications, the model improves the scientific insight and capability of space weather prediction centers to predict the variability of the regular solar quiet field variation as reference conditions, which may include areas with no measurements.

scholarly journals Evaluation of the Solar Quiet Reference Field (SQRF) Model for Space Weather Applications in the South America Magnetic Anomaly

2020 ◽  
Author(s):  
Sony Su Chen ◽  
Clezio Marcos Denardini ◽  
Láysa C. A. Resende ◽  
Ronan A. J. Chagas ◽  
Juliano Moro ◽  
...  
Keyword(s):  
South America ◽  
Magnetic Anomaly ◽  
Space Weather ◽  
Linear Interpolation ◽  
Field Variation ◽  
Reference Field ◽  
The South ◽  
Magnetic Field Data ◽  
Functional Fitting ◽  
Dip Angle

Abstract In the present work, we evaluate the accuracy of the Solar Quiet Reference Field (SQRF) model for forecasting and predicting the geomagnetic solar quiet (Sq) daily field variation in the South America Magnetic Anomaly (SAMA) region. The model simulates the monthly average horizontal field of the geomagnetic quiet (Sq-H) daily variation solving a set of functional fitting equations for the specified geographic coordinates. We carried out two comparisons between the simulated and observational data of the Sq-H field. The first part attempts to evaluate the accuracy for predicting the Sq-H field over Medianeira (25.30°S, 54.11°W, dip angle: -33.45°) by using linear interpolation on the SQRF coefficients. The second part of the analysis attempts to evaluate the accuracy for forecasting the quiet daily field variation over Cachoeira Paulista (22.70°S, 45.01°W, dip angle: -38.48°). The results of the simulation for both locations show that this empirical model presents a good agreement with the Sq-H field obtained from the magnetic field data. The accuracy of the SQRF model (high correlation, r>0.9) provides a high potential for estimating and forecasting geomagnetic quiet daily field variation for space weather applications. Therefore, this model could be useful in the Sq-H field regions near of SAMA.

Animal taxa named for Rollo H. Beck

2014 ◽  
Vol 41 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Gary M. Fellers
Keyword(s):  
Natural History ◽  
South America ◽  
Southern California ◽  
American Museum ◽  
Type Specimens ◽  
California Academy ◽  
Vertebrate Zoology ◽  
The Caribbean ◽  
Set Up ◽  
Academy Of Sciences

Rollo Howard Beck (1870–1950) was a professional bird collector who spent most of his career on expeditions to the Channel Islands off southern California, the Galápagos Islands, South America, the South Pacific, and the Caribbean. Some of the expeditions lasted as long as ten years during which time he and his wife, Ida, were often working in primitive conditions on sailing vessels or camps set up on shore. Throughout these expeditions, Beck collected specimens for the California Academy of Sciences, the Museum of Vertebrate Zoology at Berkeley (California), the American Museum of Natural History, and the Walter Rothschild Museum at Tring, England. Beck was one of the premier collectors of his time and his contributions were recognized by having 17 taxa named becki in his honor. Of these taxa, Beck collected 15 of the type specimens.

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