JpGU-AGU Joint Meeting 2020

講演情報

[J] ポスター発表

セッション記号 S (固体地球科学) » S-EM 固体地球電磁気学

[S-EM22] 地磁気・古地磁気・岩石磁気

コンビーナ:佐藤 雅彦(東京大学地球惑星科学専攻学専攻)、加藤 千恵(九州大学比較社会文化研究院)

[SEM22-P01] The geomagnetic field modeling of different areas of China based on the Three-dimensional Surface Spline model

*yan feng1,2Yi Jiang1Shuang Liu1 (1.The College of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China.、2.State Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing 100190, China.)

キーワード:Geomagnetic field, Three-dimensional model, Surface Spline, CM4

Based on surface observations, satellite data, we create the Three-dimensional Surface Spline (3DSS) model of Chinese mainland. Through this model, the magnetic field analyses of domestic plateau (Qinghai Tibet Plateau 28°N-38°N, 78°E -102°E), plain (Middle and lower reaches of Yangtze River Plain 27°N-34°N, 111°E-122°E) and marine (parts of the East and South China Sea 16°N-30°N, 123°E-136°E) areas have been investigated. In addition, single models of plateau and plain have also been created. In order to compare and verify results, the corresponding Two (2DTY) and Three-dimensional (3DTY) Taylor polynomial models have been derived. Issues like the removal of disturbing geomagnetic fields, the data gap between surface and satellite level, boundary effect are all seriously considered. Aims for evaluate the modeling results, several measuring points are not calculated intentionally while modeling, then calculate the residuals, change rate absolutes, RMSE. Results show that expect East component Y, the change rate absolutes of other components are less than 1% both in domestic and single models, which means the modeling result of 3DSS is better than other two models. 3DSS models of plateau and plain reflect fine distribution of magnetic field after comparing domestic distribution. 3DSS model fits the plateau best, plain is second, the worst in the marine area, which implies the creation of a 3DSS model might not need so many points. The modeling precision depends on the number and distribution of measuring points.