Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Coordination Group for Meteorological Satellites - CGMS NICT's space weather activities based on space- based observations Presented to CGMS-44 Space Weather Task Team session, agenda item SWTT/4

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Overview - NICT's space weather activities based on space-based observations 1.Introduction 2.Data Reception from Space Weather Monitoring Spacecraft 3.Monitoring High Energy Particle Environment in Geospace 4.Prediction of High Energy Electron Flux Environment 5.Recommendation

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master)

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Data Reception from Space Weather Monitoring Spacecraft STEREO Real-time space weather data is used for daily forecaster’s briefing and empirical model of Dst index and relativistic electron flux.

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Kodama(DRTS) / ERG Project Energization and Radiation in Geospace (ERG) Kodama The satellite will be launched in FY2016. Real-time space weather data from ERG satellite will be provided.

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Energetic particle monitoring over Japan by the Japan meteorological satellite, Himawari-8 Instrument: SEDA （ Space Environment Data Acquisition monitor ） Purposes: house-keeping and failure analysis Launch: 2014/10/07 ， Himawari-9 Launch; 2016 (plan) Longitude: ~140 deg. SEDA data is available from Nov. 03, 2014 Near-real time SEDA data is archived at NICT. proton sensors electron sensors Electrons: 8 ch. (8 series plate) Protons: 8 ch. (8 sensors) Electrons: 0.2 MeV ~ 5 MeV Protons: 15 MeV ~ 100 MeV Electron sensor: ± 78.3° Proton sensor: ± 39.35° Time resolution: 10 s

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Himawari-8/SEDA quick-look & databese In Preparation

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Himawari-8 (JMA ） Himawari-9 (plan:2016) GOES 13 (NOAA) GOES 15 (NOAA) ERG(JAXA) (plan:FY2016) Van Allen Probes (NASA) AC Mag. DC Mag. HF radar Himawari-8/SEDA data as a source of global space environment monitoring around GEO, We wish to share space environment data obtained from other meteorlorogical satellites. Kodama(DRTS) (JAXA) Japanese GEO Satellites are operated in this area. 3-Dimensional Geospace Monitoring Network

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Time series prediction result of GEO MeV flux by AR model + Kalman filter Regression order ー 28 hours Inputs ー Solar wind velocity ー Solar wind pressure ー Dst index #Coefficient matrix A is estimated by the least square method ↑ 40-h ahead ↑ Prediction Observation ↓ ↑ Margin for prediction error

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Outer radiation belt prediction model The model successfully predicts the timing and location of the flux maximum as much as 2 days in advance and that the electron flux decreases faster with time at higher L values, both model features consistent with the actually observed behavior. Prediction Input

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Radiation Belt Electron Forecast Web

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Recommendations for consideration by CGMS SWTT Sharing of space-based space weather observation data from meteorological satellites and anomaly information of these satellites. Standardization of space weather data and its processing (including calibration method) is also important issue to be discussed.

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Particle data obtained from each satellite should be compared during the same drift shell (L*). What magnetospheric model should we use? How do we interpolate the differential flux of specific energy for comparison? 0.2MeV 0.45MeV Inter-calibration MeV MeV 13UT 23UT

Agency xxx, version xx, Date xx 2016 [update in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) This assumption may not be good. Diff. Flux more than 2 MeV significantly decrease.