Computer Science – Performance
Scientific paper
Mar 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011adspr..47..843s&link_type=abstract
Advances in Space Research, Volume 47, Issue 5, p. 843-853.
Computer Science
Performance
1
Scientific paper
The devastating Sumatra tsunami in 2004 demonstrated the need for a tsunami early warning system in the Indian Ocean. Such a system has been installed within the German-Indonesian Tsunami Early Warning System (GITEWS) project. Tsunamis are a global phenomenon and for global observations satellites are predestined. Within the GITEWS project a feasibility study on a future tsunami detection system from space has therefore been carried out. The Global Navigation Satellite System Reflectometry (GNSS-R) is an innovative way of using GNSS signals for remote sensing. It uses ocean reflected GNSS signals for sea surface altimetry. With a dedicated Low Earth Orbit (LEO) constellation of satellites equipped with GNSS-R receivers, densely spaced sea surface height measurements could be established to detect tsunamis. Some general considerations on the geometry between LEO and GNSS are made in this simulation study. It exemplary analyzes the detection performance of a GNSS-R constellation at 900 km altitude and 60° inclination angle when applied to the Sumatra tsunami as it occurred in 2004. GPS is assumed as signal source and the combination with GLONASS and Galileo signals is investigated. It can be demonstrated, that the combination of GPS and Galileo is advantageous for constellations with few satellites while the combination with GLONASS is preferable for constellations with many satellites. If all three GNSS are combined, the best detection performance can be expected for all scenarios considered. In this case an 18 satellite constellation will detect the Sumatra tsunami within 17 min with certainty, while it takes 53 min if only GPS is considered.
Beyerle Georg
Hoechner Andreas
Lauterjung J.
Stosius Ralf
Wickert Jens
No associations
LandOfFree
The impact on tsunami detection from space using GNSS-reflectometry when combining GPS with GLONASS and Galileo 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 The impact on tsunami detection from space using GNSS-reflectometry when combining GPS with GLONASS and Galileo, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The impact on tsunami detection from space using GNSS-reflectometry when combining GPS with GLONASS and Galileo will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1183557