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Best Practices for Increasing Data Return: Case Study From Indian Ocean Observation Network
AbstractSustained real-time ocean observation systems using moored data buoys are vital for understanding ocean dynamics and variability, which are essential for improving oceanographic services including weather prediction, ocean state forecast, cyclone tracking, tsunami monitoring, and climate cha...
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Published in: | Marine Technology Society journal 2019-09, Vol.53 (5), p.30-42 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | AbstractSustained real-time ocean observation systems using moored data buoys are vital for understanding ocean dynamics and variability, which are essential for improving oceanographic services including weather prediction, ocean state forecast, cyclone tracking, tsunami
monitoring, and climate change studies. This paper describes the significant rapid restoration techniques implemented to increase the availability of the Indian Ocean observation networks over the past two decades. The efforts have helped in achieving availability of 97.9%, 82.3%, and 98.7%
for the meteorological sensors, subsea surface oceanographic sensors, and tsunami buoy network, respectively. |
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ISSN: | 0025-3324 1948-1209 |
DOI: | 10.4031/MTSJ.53.5.17 |