Computer Science – Performance
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsa21a0277m&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #SA21A-0277
Computer Science
Performance
2441 Ionospheric Storms (7949), 2447 Modeling And Forecasting, 2494 Instruments And Techniques
Scientific paper
GEONET is the dense GPS receiver network in JAPAN. The data have been used to derive TEC to study ionospheric disturbances in NICT. Quick distribution of the data, within a few hours, has been started recently. We have developed a new method of prompt derivation of TEC from the data and use the TEC distribution over Japan in our daily operation of Space Weather Forecast Center at NICT (RWC Japan of ISES). We will present the outline of the system of prompt derivation of TEC, its performance results, and its capability of monitoring the ionosphere over Japan with some specific events of ionospheric disturbances.
Maruyama Takashi
Miyake Wataru
No associations
LandOfFree
Prompt Derivation of TEC from GEONET Data for Space Weather Monitoring does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Prompt Derivation of TEC from GEONET Data for Space Weather Monitoring, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prompt Derivation of TEC from GEONET Data for Space Weather Monitoring will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-752506