Estimating Equatorial F-Region Daytime Vertical EXB Drift Velocities From Ground-Based Magnetometer Measurements in the Philippine Longitude Sector
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Ionospheric disturbances can severely impact Department of Defense (DoD) systems, such as radar, satellite, and navigation technologies. Forecasting disturbances and describing the Earth's ionosphere, in turn, relies upon innovative computer-based models that gather input parameters from ground and space-borne observations and empirical models for ionospheric drivers. Equatorial Exb drift velocities are significant input parameters that go into many ionospheric models, because they help describe vertical plasma motions near the magnetic equator. Previous work by Anderson, et al [2002] has demo...
Ionospheric disturbances can severely impact Department of Defense (DoD) systems, such as radar, satellite, and navigation technologies. Forecasting disturbances and describing the Earth's ionosphere, in turn, relies upon innovative computer-based models that gather input parameters from ground and space-borne observations and empirical models for ionospheric drivers. Equatorial Exb drift velocities are significant input parameters that go into many ionospheric models, because they help describe vertical plasma motions near the magnetic equator. Previous work by Anderson, et al [2002] has demonstrated the ability to derive Peruvian longitude sector, daytime vertical ExB drifts from ground-based magnetometer data. The present research extends these results to the Philippines using 56 days of magnetometer data from two stations in 2002. For each day of magnetometer data, corresponding Global Ultraviolet Imager (GUVI) 1356 airglow emission data from the evening equatorial anomaly were used to estimate the average ExBÅ drift velocities [Anderson, private communication, 2003]. These drift values were then compared statistically to the horizontal component of the Philippine magnetometer data for all 56 days. In this process, data were grouped according to F10.7 values. Overall, the best regression relation resulted from the ascending, April 2002 sample of 13 days of data (correlation coefficient of 0.63). This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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