Data Sampling for Modelling the Martian Magnetic Field with S-Approximations

The paper discusses the process of forming satellite data samples, considering various selection strategies. These strategies include sampling measurements near grid nodes (different grids used), selection of data obtained at a certain altitude above the Martian surface, and selection of data obtained in the absence of direct visibility of the Sun (nighttime data). The use of such criteria allows to create an optimal data sample necessary for constructing an accurate and reliable model of the Martian crust magnetic field using the S-approximation method.

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Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10874960
Primary Topic
Scientific Research and Discoveries
Type
article
Field-Weighted Citation Impact
0.00

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article

Data Sampling for Modelling the Martian Magnetic Field with S-Approximations

Т. В. Гудкова, A. V. Batov, И. Э. Степанова, Anton Salnikov
Scientific Research and Discoveries
article

Data Sampling for Modelling the Martian Magnetic Field with S-Approximations

Т. В. Гудкова, A. V. Batov, И. Э. Степанова, Anton Salnikov
article en

Abstract

The paper discusses the process of forming satellite data samples, considering various selection strategies. These strategies include sampling measurements near grid nodes (different grids used), selection of data obtained at a certain altitude above the Martian surface, and selection of data obtained in the absence of direct visibility of the Sun (nighttime data). The use of such criteria allows to create an optimal data sample necessary for constructing an accurate and reliable model of the Martian crust magnetic field using the S-approximation method.

Schmidt Institute of Physics of the Earth (RU), V. A. Trapeznikov Institute of Control Sciences (RU)
Russian Science Foundation
Climate action
Openalex Percentile: Top 75%
Scientific Research and Discoveries
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