scholarly journals An empirical ocean color algorithm for estimating the contribution of chromophoric dissolved organic matter to total light absorption in optically complex waters

2008 ◽  
Vol 113 (C4) ◽  
Author(s):  
Simon Bélanger ◽  
Marcel Babin ◽  
Pierre Larouche
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Light Absorption ◽  
Ocean Color ◽  
Chromophoric Dissolved Organic Matter ◽  
Total Light ◽  
Ocean Color Algorithm

scholarly journals Characterization of light absorption by chromophoric dissolved organic matter (CDOM) in the upper layer of the Red Sea

2018 ◽  
Vol 133 ◽  
pp. 72-84 ◽  
Author(s):  
Malika Kheireddine ◽  
Mustapha Ouhssain ◽  
Maria Ll. Calleja ◽  
Xosé Anxelu G. Morán ◽  
Y.V.B. Sarma ◽  
...  
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Red Sea ◽  
Light Absorption ◽  
Chromophoric Dissolved Organic Matter

Contribution of ferric iron to light absorption by chromophoric dissolved organic matter

2013 ◽  
Vol 58 (2) ◽  
pp. 653-662 ◽  
Author(s):  
Yi-Hua Xiao ◽  
Timo Sara-Aho ◽  
Helinä Hartikainen ◽  
Anssi V. Vähätalo
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Light Absorption ◽  
Ferric Iron ◽  
Chromophoric Dissolved Organic Matter

Inversion of Chromophoric Dissolved Organic Matter From EO-1 Hyperion Imagery for Turbid Estuarine and Coastal Waters

2013 ◽  
Vol 51 (6) ◽  
pp. 3286-3298 ◽  
Author(s):  
Weining Zhu ◽  
Qian Yu
Keyword(s):  
Organic Matter ◽  
High Resolution ◽  
Dissolved Organic Matter ◽  
Coastal Waters ◽  
Ocean Color ◽  
Chromophoric Dissolved Organic Matter ◽  
Significant Implication ◽  
Coastal Regions ◽  
Data Set ◽  
Wide Range

The significant implication of chromophoric dissolved organic matter (CDOM) for water quality and biogeochemical cycle leads to an increasing need of CDOM monitoring in coastal regions. Current ocean-color algorithms are mostly limited to open-sea water and have high uncertainty when directly applied to turbid coastal waters. This paper presents a semianalytical algorithm, quasi-analytical CDOM algorithm (QAA-CDOM), to invert CDOM absorption from Earth Observing-1 (EO-1) Hyperion satellite images. This algorithm was developed from a widely used ocean-color algorithm QAA and our earlier extension of QAA. The main goal is to improve the algorithm performance for a wide range of water conditions, particularly turbid waters in estuarine and coastal regions. The algorithm development, calibration, and validation were based on our intensive high-resolution underwater measurements, International Ocean Color Coordinating Group synthetic data, and global National Aeronautics and Space Administration Bio-Optical Marine Algorithm Data Set data. The result shows that retrieved CDOM absorption achieved accuracy (root mean square error (RMSE) = 0.115 m-1andR2= 0.73) in the Atchafalaya River plume area. QAA-CDOM is also evaluated for scenarios in three additional study sites, namely, the Mississippi River, Amazon River, and Moreton Bay, whereag(440) was in the wide range of 0.01-15 m-1. It resulted in expected CDOM distribution patterns along the river salinity gradient. This study improves the high-resolution observation of CDOM dynamics in river-dominated coastal margins and other coastal environments for the study of land-ocean interactive processes.

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