Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6962586 | Environmental Modelling & Software | 2016 | 18 Pages |
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 4Â 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Mark E. Baird, Nagur Cherukuru, Emlyn Jones, Nugzar Margvelashvili, Mathieu Mongin, Kadija Oubelkheir, Peter J. Ralph, Farhan Rizwi, Barbara J. Robson, Thomas Schroeder, Jennifer Skerratt, Andrew D.L. Steven, Karen A. Wild-Allen,