Abstract
In November 2013, the European Space Agency (ESA) launched the three-satellite Swarm constellation. This group of satellites provides high-quality measurements of Earth’s magnetic field and associated plasma environment.
Each of the satellites carries a magnetometry package consisting of vector fluxgate and absolute scalar magnetometers, a triple-head star imager, and the electric field instrument, which also includes a Langmuir probe for measuring plasma density and temperature. After 5 years in space, the Swarm mission has achieved remarkable scientific results and has opened the door for many innovative applications beyond its original scope.
To enable full exploitation of the Swarm data, the processing algorithms and procedures are constantly being improved, taking advantage of experience gained as the mission progresses.
Last October, ESA organized the 8th Swarm Data Quality Workshop (SDQW#8). This workshop was instrumental in addressing the processing and use of Swarm data and defining a road map for the following:
-identifying and selecting new Swarm data products and services
-enhancing synergy with other satellite missions
-prioritizing future Swarm-related research activities
-collecting input for the optimization of the orbital constellation in view of addressing a wide spectrum of applications
Each of the satellites carries a magnetometry package consisting of vector fluxgate and absolute scalar magnetometers, a triple-head star imager, and the electric field instrument, which also includes a Langmuir probe for measuring plasma density and temperature. After 5 years in space, the Swarm mission has achieved remarkable scientific results and has opened the door for many innovative applications beyond its original scope.
To enable full exploitation of the Swarm data, the processing algorithms and procedures are constantly being improved, taking advantage of experience gained as the mission progresses.
Last October, ESA organized the 8th Swarm Data Quality Workshop (SDQW#8). This workshop was instrumental in addressing the processing and use of Swarm data and defining a road map for the following:
-identifying and selecting new Swarm data products and services
-enhancing synergy with other satellite missions
-prioritizing future Swarm-related research activities
-collecting input for the optimization of the orbital constellation in view of addressing a wide spectrum of applications
| Original language | English |
|---|---|
| Journal | Earth & Space Science News |
| Volume | 100 |
| DOIs | |
| Publication status | Published - 2019 |