Mathematics – Logic
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3505603m&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 5, CiteID L05603
Mathematics
Logic
3
Oceanography: Biological And Chemical: Ecological Prediction, Oceanography: General: Coral Reef Systems (4916), Oceanography: General: Ocean Observing Systems
Scientific paper
Anomalously high sea surface temperatures (SST) have led to repeated mass coral bleaching events on a global scale. Existing satellite-based systems used to monitor conditions conducive to bleaching are based on low-resolution (0.5°, ~50 km) SST data. While these systems have served the research and management community well, they have inherent weaknesses that limit their capacity to predict stress on coral reefs at local scales, over which bleaching severity is known to vary dramatically. Here we discuss the development and testing of ReefTemp, a new operational remote sensing application for the Great Barrier Reef that assesses bleaching risk daily using: high-resolution (2 km) SST, regionally validated thermal stress indices, and color-graded legends directly related to past observations of bleaching severity. Given projections of sea temperature rise, ReefTemp is timely as it can accurately predict bleaching severity at a local scale and therefore help to give focus to future research and monitoring efforts.
Anthony Kenneth R. N.
Baird Andrew H.
Berkelmans Ray
Eakin Caroline M.
Johnson Johanna
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