CSES-01 Electron Density Background Characterisation and Preliminary Investigation of Possible Ne Increase before Global Seismicity

Author:

Chen Wenqi1,Marchetti Dedalo1ORCID,Zhu Kaiguang1,Sabbagh Dario2ORCID,Yan Rui3,Zhima Zeren3,Shen Xuhui4,Cheng Yuqi1,Fan Mengxuan1,Wang Siyu1,Wang Ting1,Zhang Donghua1,Zhang Hanshuo1,Zhang Yiqun1

Affiliation:

1. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China

2. Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy

3. Space Observation Research Center, National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China

4. National Space Science Center, Chinese Academy of Sciences, Beijing 100085, China

Abstract

In this paper, we provide a characterisation of the ionosphere from April 2018 to September 2022 for 48 investigated months. We used the data of the China Seismo Electromagnetic Satellite (CSES-01), which is a sun-synchronous satellite with five days of revisit time and fixed local time of about 2 a.m. and 2 p.m. The unique orbit of CSES-01 permitted us to produce a monthly background of the ionosphere for night- and daytime with median values acquired during geomagnetic quiet time in equatorial and mid-latitude regions (i.e., between 50° S and 50° N of geographical latitude). We compared the obtained CSES-01 monthly median values with the solar activity in terms of sunspot numbers, and we found a high correlation of 0.89 for nighttime and 0.85 for daytime between the mean sunspot number and the maximum of the characterised CSES-01 Ne map values. In addition, we extracted all the anomalous positive increases in CSES-01 electron density and compared them with the Worldwide M5.5+ shallow earthquakes. We tested two different definitions of anomaly based on median and interquartile range or (mild) outliers. We tried two relationships between anomalies inside Dobrovolsky’s area before the earthquake and the magnitude of the same seismic events: one which considers distance in space and time and a second which only uses the anticipation time of the anomaly before the earthquake. Using both anomaly definitions, we searched the best coefficients for these two laws for mid-latitude and equational regions. We found that the best coefficients are independent of the anomaly definition, but better accuracy (greater than 80%) is obtained for the outlier definition. Finally, using receiving operating characteristic (ROC) curves, we show that CSES-01 increases seem statistically correlated to the incoming seismic activity.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

International Space Science Institute

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference84 articles.

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4. Piggott, W.R., and Rawer, K. (2023, October 01). 1913—U.R.S.I. Handbook of Ionogram Interpretation and Reduction, Available online: https://repository.library.noaa.gov/view/noaa/10404.

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