Articles | Volume 13, issue 23
https://doi.org/10.5194/bg-13-6441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-6441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Use of remote-sensing reflectance to constrain a data assimilating marine biogeochemical model of the Great Barrier Reef
Emlyn M. Jones
CORRESPONDING AUTHOR
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Mark E. Baird
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Mathieu Mongin
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
John Parslow
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Jenny Skerratt
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Jenny Lovell
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Nugzar Margvelashvili
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Richard J. Matear
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Karen Wild-Allen
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Barbara Robson
CSIRO Land and Water, Canberra, 2601, Australia
Farhan Rizwi
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Peter Oke
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Edward King
CSIRO Oceans and Atmosphere, Hobart, 7000, Australia
Thomas Schroeder
CSIRO Oceans and Atmosphere, Brisbane, 4102, Australia
Andy Steven
CSIRO Oceans and Atmosphere, Brisbane, 4102, Australia
John Taylor
CSIRO Data61, Canberra, 2601, Australia
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- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela 10.1016/j.rse.2017.03.040
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- Impact of catchment-derived nutrients and sediments on marine water quality on the Great Barrier Reef: An application of the eReefs marine modelling system M. Baird et al. 10.1016/j.marpolbul.2021.112297
- Information content of in situ and remotely sensed chlorophyll-a: Learning from size-structured phytoplankton model L. Laiolo et al. 10.1016/j.jmarsys.2018.03.005
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
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- Assimilation of Ocean‐Color Plankton Functional Types to Improve Marine Ecosystem Simulations S. Ciavatta et al. 10.1002/2017JC013490
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Latest update: 14 Dec 2024
Short summary
Marine biogeochemical models are often used to understand water quality, nutrient and blue-carbon dynamics at scales that range from estuaries and bays, through to the global ocean. We introduce a new methodology allowing for the assimilation of observed remote sensing reflectances, avoiding the need to use empirically derived chlorophyll-a concentrations. This method opens up the possibility to assimilate of reflectances from a variety of missions and potentially non-satellite platforms.
Marine biogeochemical models are often used to understand water quality, nutrient and...
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