Remote-sensing reflectance and true colour produced by a coupled hydrodynamic, optical, sediment, biogeochemical model of the Great Barrier Reef, Australia: comparison with satellite data
Baird, Mark E., Cherukuru, Nagur, Jones, Emlyn, Margvelashvili, Nugzar, Mongin, Mathieu, Oubelkheir, Kadija, Ralph, Peter J., Rizwi, Farhan, Robson, Barbara J., Schroeder, Thomas, Skerratt, Jennifer, Steven, Andrew D.L., and Wild-allen, Karen A. (2016) Remote-sensing reflectance and true colour produced by a coupled hydrodynamic, optical, sediment, biogeochemical model of the Great Barrier Reef, Australia: comparison with satellite data. Environmental Modelling & Software, 78. pp. 79-96.
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Abstract
Aquatic biogeochemical models are vital tools in understanding and predicting human impacts on water clarity. In this paper, we develop a spectrally-resolved optical model that produces remote-sensing reflectance as a function of depth-resolved biogeochemical model properties such as phytoplankton biomass, suspended sediment concentrations and benthic reflectance. We compare simulated remote sensing reflectance from a 4 km resolution coupled hydrodynamic, optical, sediment and biogeochemical model configured for the Great Barrier Reef with observed remote-sensing reflectance from the MODIS sensor at the 8 ocean colour bands. The optical model is sufficiently accurate to capture the remote-sensing reflectance that would arise from a specific biogeochemical state. Thus the mismatch between simulated and observed remote-sensing reflectance provides an excellent metric for model assessment of the coupled biogeochemical model. Finally, we combine simulated remote-sensing reflectance in a red/green/blue colour model to produce simulated true colour images during the passage of Tropical Cyclone Yasi in February 2011.
Item ID: | 58051 |
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Item Type: | Article (Research - C1) |
ISSN: | 1873-6726 |
Keywords: | Ocean colour, Chlorophyll, Sediment, Water clarity, Tropical cyclone Yasi |
Funders: | Great Barrier Reef Foundation, Science Industry Endowment Fund |
Projects and Grants: | eReefs |
Date Deposited: | 17 Apr 2019 09:22 |
FoR Codes: | 37 EARTH SCIENCES > 3708 Oceanography > 370801 Biological oceanography @ 50% 37 EARTH SCIENCES > 3708 Oceanography > 370802 Chemical oceanography @ 50% |
SEO Codes: | 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 100% |
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