Development of Space Environment Customized Risk Estimation for Satellites (SECURES)
Plasma variations in the geospace environment driven by solar wind–magnetosphere interactions are one of the major causes of satellite anomaly. To mitigate the effect of satellite anomaly, the risk of space weather disturbances predicted by space weather forecasting needs to be known in advance. However, the risk of satellite anomaly owing to space weather disturbances is not the same for all satellites, because the risk depends not only on the space environment itself but also on the design and materials of individual satellites. From the viewpoint of satellite operators, it is difficult to apply a general alert level of the space environment to the risk of individual satellites. To provide tailored space weather information, we have developed SECURES (Space Environment Customized Risk Estimation for Satellites) by combining models of the space environment and those of spacecraft charging. In SECURES, we focus on the risk of spacecraft charging (surface/internal) for geosynchronous satellites. For the risk estimation of surface charging, we have combined the global magnetosphere magnetohydrodynamics (MHD) model with the satellite surface charging models. For the risk estimation of internal charging, we have combined the radiation belt models with the satellite internal charging models. We have developed prototype products for both types of charging/electrostatic discharge (ESD). The development of SECURES and our achievements are introduced in this paper.
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Posted 12 Jan, 2021
On 25 Jan, 2021
On 02 Jan, 2021
On 29 Dec, 2020
Invitations sent on 29 Dec, 2020
On 29 Dec, 2020
On 29 Dec, 2020
On 23 Nov, 2020
Received 23 Nov, 2020
On 23 Nov, 2020
Received 22 Nov, 2020
On 14 Nov, 2020
Invitations sent on 12 Nov, 2020
On 11 Nov, 2020
On 11 Nov, 2020
On 11 Nov, 2020
Received 01 Oct, 2020
On 01 Oct, 2020
Received 20 Sep, 2020
On 31 Aug, 2020
Invitations sent on 30 Aug, 2020
On 30 Aug, 2020
On 27 Aug, 2020
On 26 Aug, 2020
On 26 Aug, 2020
On 22 Aug, 2020
Development of Space Environment Customized Risk Estimation for Satellites (SECURES)
Posted 12 Jan, 2021
On 25 Jan, 2021
On 02 Jan, 2021
On 29 Dec, 2020
Invitations sent on 29 Dec, 2020
On 29 Dec, 2020
On 29 Dec, 2020
On 23 Nov, 2020
Received 23 Nov, 2020
On 23 Nov, 2020
Received 22 Nov, 2020
On 14 Nov, 2020
Invitations sent on 12 Nov, 2020
On 11 Nov, 2020
On 11 Nov, 2020
On 11 Nov, 2020
Received 01 Oct, 2020
On 01 Oct, 2020
Received 20 Sep, 2020
On 31 Aug, 2020
Invitations sent on 30 Aug, 2020
On 30 Aug, 2020
On 27 Aug, 2020
On 26 Aug, 2020
On 26 Aug, 2020
On 22 Aug, 2020
Plasma variations in the geospace environment driven by solar wind–magnetosphere interactions are one of the major causes of satellite anomaly. To mitigate the effect of satellite anomaly, the risk of space weather disturbances predicted by space weather forecasting needs to be known in advance. However, the risk of satellite anomaly owing to space weather disturbances is not the same for all satellites, because the risk depends not only on the space environment itself but also on the design and materials of individual satellites. From the viewpoint of satellite operators, it is difficult to apply a general alert level of the space environment to the risk of individual satellites. To provide tailored space weather information, we have developed SECURES (Space Environment Customized Risk Estimation for Satellites) by combining models of the space environment and those of spacecraft charging. In SECURES, we focus on the risk of spacecraft charging (surface/internal) for geosynchronous satellites. For the risk estimation of surface charging, we have combined the global magnetosphere magnetohydrodynamics (MHD) model with the satellite surface charging models. For the risk estimation of internal charging, we have combined the radiation belt models with the satellite internal charging models. We have developed prototype products for both types of charging/electrostatic discharge (ESD). The development of SECURES and our achievements are introduced in this paper.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.