11:00 〜 13:00
[PEM09-P08] Cross calibartion between Himawari-8/SEDA and GOES-16/SEISS
キーワード：宇宙天気モニタリング、高エネルギー粒子、測器の相互校正
Currently there are several geostationary satellites which monitor high energy particle environment, although more than five hundred of satellite exist in this orbit. Japanese geostationary meteorological satellite, Himawari-8, has been operating space environment data acquisition monitor (SEDA) since Nov. 2014.
To monitor the current condition of high energy particle environment for each satellite in GEO, which is a risk of spacecraft charging, we need to reconstruct high energy particle environment in GEO using several high energy particle observations. Before combining individual data from high energy particle sensors, cross calibration of each sensor is essential.
We have done cross-calibration between high energy electron sensor of the Himawari-8/SEDA(SEDA-e) and that of GOES-16/SEISS during April to June in 2017, and April to June in 2020. The results suggest that there is no significant difference between the sensitivity of both sensors. On the contrary, it was found that the background noise levels of SEDA-e in 2020 is higher than that in 2017. It seems that bios current of SEDA-e tends to be increase with increasing time.
In this presentation, we will introduce detailed results of cross calibration method of high energy particle sensor and improvement of background noise level of SEDA-e using temperature data of SEDA and cross-calibration results
To monitor the current condition of high energy particle environment for each satellite in GEO, which is a risk of spacecraft charging, we need to reconstruct high energy particle environment in GEO using several high energy particle observations. Before combining individual data from high energy particle sensors, cross calibration of each sensor is essential.
We have done cross-calibration between high energy electron sensor of the Himawari-8/SEDA(SEDA-e) and that of GOES-16/SEISS during April to June in 2017, and April to June in 2020. The results suggest that there is no significant difference between the sensitivity of both sensors. On the contrary, it was found that the background noise levels of SEDA-e in 2020 is higher than that in 2017. It seems that bios current of SEDA-e tends to be increase with increasing time.
In this presentation, we will introduce detailed results of cross calibration method of high energy particle sensor and improvement of background noise level of SEDA-e using temperature data of SEDA and cross-calibration results