Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Swarm A and C Accelerometer - data analysis and scientific outcome

View through CrossRef
The ESA Swarm mission was launched in November 2013, and it consists of a constellation of three identical satellites. The main mission objective is to model and analyze the geomagnetic field through the data provided by a vector and a scalar magnetometer on board of each spacecraft (A, B, C).  To fulfill the secondary objectives, the satellites do also carry other instruments, such as an accelerometer expected to measure the non-gravitational forces acting on each satellite. However, the quality of the data retrieved from this instrument was not at the anticipated level and, therefore, the post-processing required to calibrate the signal was significant. Therefore, initially the calibration focused on Swarm C only because it had the best signal-to-noise ratio of the constellation. For this satellite the calibrated accelerometer data are available since the beginning of the mission and they are disseminated bi-monthly. At the end of 2021, the first Swarm A dataset was released and it comprises some months in 2014. Swarm A and C, called the “lower pair”, have flown side-by-side for most of the mission with a separation that spanned from four to ten seconds. Therefore, their measurements are supposed to be nearly identical after calibration.A recent publication, which is discussed in this talk, demonstrated that a comparison between Swarm A and Swarm C calibrated accelerometer dataset shows the expected correlation. After applying a high-pass filter to both satellites’ dataset, very similar features are visible at the equator and at the poles. The “long time scale” events at the equator show a correlation between the equatorial mass anomaly and the equatorial ionization anomaly. At the poles, the “short time scale” events can be related to the Polar Cap index and to the field-aligned currents, which are measured on board by the Swarm magnetometers. Furthermore, these features agree with previous literature based on CHAMP and GRACE data.For the first time the Swarm accelerometer data deliver scientific results, in particular in the field of thermosphere and ionosphere coupling.
Title: Swarm A and C Accelerometer - data analysis and scientific outcome
Description:
The ESA Swarm mission was launched in November 2013, and it consists of a constellation of three identical satellites.
The main mission objective is to model and analyze the geomagnetic field through the data provided by a vector and a scalar magnetometer on board of each spacecraft (A, B, C).
  To fulfill the secondary objectives, the satellites do also carry other instruments, such as an accelerometer expected to measure the non-gravitational forces acting on each satellite.
However, the quality of the data retrieved from this instrument was not at the anticipated level and, therefore, the post-processing required to calibrate the signal was significant.
Therefore, initially the calibration focused on Swarm C only because it had the best signal-to-noise ratio of the constellation.
For this satellite the calibrated accelerometer data are available since the beginning of the mission and they are disseminated bi-monthly.
At the end of 2021, the first Swarm A dataset was released and it comprises some months in 2014.
Swarm A and C, called the “lower pair”, have flown side-by-side for most of the mission with a separation that spanned from four to ten seconds.
Therefore, their measurements are supposed to be nearly identical after calibration.
A recent publication, which is discussed in this talk, demonstrated that a comparison between Swarm A and Swarm C calibrated accelerometer dataset shows the expected correlation.
After applying a high-pass filter to both satellites’ dataset, very similar features are visible at the equator and at the poles.
The “long time scale” events at the equator show a correlation between the equatorial mass anomaly and the equatorial ionization anomaly.
At the poles, the “short time scale” events can be related to the Polar Cap index and to the field-aligned currents, which are measured on board by the Swarm magnetometers.
Furthermore, these features agree with previous literature based on CHAMP and GRACE data.
For the first time the Swarm accelerometer data deliver scientific results, in particular in the field of thermosphere and ionosphere coupling.

Related Results

Collective Cognition on Global Density in Dynamic Swarm
Collective Cognition on Global Density in Dynamic Swarm
Swarm density plays a key role in the performance of a robot swarm, which can be averagely measured by swarm size and the area of a workspace. In some scenarios, the swarm workspac...
Methods matter- construct validity of steps per day in patients with lumbar spinal stenosis
Methods matter- construct validity of steps per day in patients with lumbar spinal stenosis
Abstract Purpose This study aimed to evaluate the ability of a thigh-worn accelerometer to detect walking during daily li...
Modeling Strategies for Conducting Wave Surveillance Using a Swarm of Security Drones
Modeling Strategies for Conducting Wave Surveillance Using a Swarm of Security Drones
This work formulates and solves the actual problem of studying the logistics of unmanned aerial vehicle (UAV) operations in facility security planning. The study is related to secu...
Military logistics planning models for enemy targets attack by a swarm of combat drones
Military logistics planning models for enemy targets attack by a swarm of combat drones
This article describes and investigates the planning aspect of military actions aimed at destroying enemy targets with the help of an attack drone swarm. This study attempts to sol...
Atmospheric Density Inversion Based on Swarm-C Satellite Accelerometer
Atmospheric Density Inversion Based on Swarm-C Satellite Accelerometer
We used the Swarm-C accelerometer data to invert the orbital atmospheric density in this study. First, the Swarm-C satellite mission data were obtained from the ESA’s public data p...
Learning Competitive Swarm Optimization
Learning Competitive Swarm Optimization
Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO e...
Learner-Centred, Teacher-Centred and Blended Curriculum Design in Swarm Systems
Learner-Centred, Teacher-Centred and Blended Curriculum Design in Swarm Systems
Abstract Robot swarms have been used in various civilian and military applications, from entertainment to serious missions. Complex swarm tasks involve multiple i...
An improved method for LEO orbit prediction using predicted accelerometer data
An improved method for LEO orbit prediction using predicted accelerometer data
Abstract The Low Earth Orbit (LEO) enhanced Global Navigation Satellite System (LeGNSS) relies on LEO satellites to broadcast GNSS-like navigation signals, providing real-t...

Back to Top