Articles | Volume 13, issue 14
https://doi.org/10.5194/bg-13-4081-2016
© 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-13-4081-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Jul 2016
Research article |
| 18 Jul 2016
Methods to retrieve the complex refractive index of aquatic suspended particles: going beyond simple shapes
Albert-Miquel Sánchez
CORRESPONDING AUTHOR
Institute of Marine Sciences (ICM-CSIC), Physical and Technological Oceanography Department, Pg. Marítim de la Barceloneta,
37-49, 08003, Barcelona, Spain
Jaume Piera
Institute of Marine Sciences (ICM-CSIC), Physical and Technological Oceanography Department, Pg. Marítim de la Barceloneta,
37-49, 08003, Barcelona, Spain
Related subject area
Biogeochemistry: Bio-Optics
Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea
Estimating the seasonal impact of optically significant water constituents on surface heating rates in the western Baltic Sea
Variability of light absorption coefficients by different size fractions of suspensions in the southern Baltic Sea
Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis
Comment on “Fundamental molecules of life are pigments which arose and co-evolved as a response to the thermodynamic imperative of dissipating the prevailing solar spectrum” by K. Michaelian and A. Simeonov (2015)
A limited effect of sub-tropical typhoons on phytoplankton dynamics
The suspended small-particle layer in the oxygen-poor Black Sea: a proxy for delineating the effective N2-yielding section
Diel quenching of Southern Ocean phytoplankton fluorescence is related to iron limitation
A global end-member approach to derive aCDOM(440) from near-surface optical measurements
Floodwater impact on Galveston Bay phytoplankton taxonomy, pigment composition and photo-physiological state following Hurricane Harvey from field and ocean color (Sentinel-3A OLCI) observations
Diurnal regulation of photosynthetic light absorption, electron transport and carbon fixation in two contrasting oceanic environments
Bio-optical characterization of subsurface chlorophyll maxima in the Mediterranean Sea from a Biogeochemical-Argo float database
Carbon Flux Explorer optical assessment of C, N and P fluxes
Phytoplankton size class in the East China Sea derived from MODIS satellite data
An estuarine-tuned quasi-analytical algorithm (QAA-V): assessment and application to satellite estimates of SPM in Galveston Bay following Hurricane Harvey
Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index
Modelling ocean-colour-derived chlorophyll a
Optical properties of size fractions of suspended particulate matter in littoral waters of Québec
Changes in optical characteristics of surface microlayers hint to photochemically and microbially mediated DOM turnover in the upwelling region off the coast of Peru
Quantifying the biological impact of surface ocean light attenuation by colored detrital matter in an ESM using a new optical parameterization
Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors
Autonomous profiling float observations of the high-biomass plume downstream of the Kerguelen Plateau in the Southern Ocean
A simple optical index shows spatial and temporal heterogeneity in phytoplankton community composition during the 2008 North Atlantic Bloom Experiment
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications
Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea
Absorption and fluorescence properties of chromophoric dissolved organic matter of the eastern Bering Sea in the summer with special reference to the influence of a cold pool
A synthesis of light absorption properties of the Arctic Ocean: application to semianalytical estimates of dissolved organic carbon concentrations from space
Influence of the Changjiang River on the light absorption properties of phytoplankton from the East China Sea
On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea
Contribution to a bio-optical model for remote sensing of Lena River water
Light absorption and partitioning in Arctic Ocean surface waters: impact of multiyear ice melting
Biogeochemical origins of particles obtained from the inversion of the volume scattering function and spectral absorption in coastal waters
Apparent optical properties of the Canadian Beaufort Sea – Part 1: Observational overview and water column relationships
Apparent optical properties of the Canadian Beaufort Sea – Part 2: The 1% and 1 cm perspective in deriving and validating AOP data products
Increasing cloudiness in Arctic damps the increase in phytoplankton primary production due to sea ice receding
Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space
Variations of net primary productivity and phytoplankton community composition in the Indian sector of the Southern Ocean as estimated from ocean color remote sensing data
Spectroscopic detection of a ubiquitous dissolved pigment degradation product in subsurface waters of the global ocean
Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data
Tracing the transport of colored dissolved organic matter in water masses of the Southern Beaufort Sea: relationship with hydrographic characteristics
Bio-optical provinces in the eastern Atlantic Ocean and their biogeographical relevance
Inferring phytoplankton carbon and eco-physiological rates from diel cycles of spectral particulate beam-attenuation coefficient
Characterization of the bio-optical anomaly and diurnal variability of particulate matter, as seen from scattering and backscattering coefficients, in ultra-oligotrophic eddies of the Mediterranean Sea
MODIS observed phytoplankton dynamics in the Taiwan Strait: an absorption-based analysis
Global variability of phytoplankton functional types from space: assessment via the particle size distribution
Optical Characterization of an Eddy-induced Diatom Bloom West of the Island of Hawaii
The dissolved yellow substance and the shades of blue in the Mediterranean Sea
Eva Álvarez, Gianpiero Cossarini, Anna Teruzzi, Jorn Bruggeman, Karsten Bolding, Stefano Ciavatta, Vincenzo Vellucci, Fabrizio D'Ortenzio, David Antoine, and Paolo Lazzari
Biogeosciences, 20, 4591–4624, https://doi.org/10.5194/bg-20-4591-2023, https://doi.org/10.5194/bg-20-4591-2023, 2023
Short summary
Short summary
Chromophoric dissolved organic matter (CDOM) interacts with the ambient light and gives the waters of the Mediterranean Sea their colour. We propose a novel parameterization of the CDOM cycle, whose parameter values have been optimized by using the data of the monitoring site BOUSSOLE. Nutrient and light limitations for locally produced CDOM caused aCDOM(λ) to covary with chlorophyll, while the above-average CDOM concentrations observed at this site were maintained by allochthonous sources.
Bronwyn E. Cahill, Piotr Kowalczuk, Lena Kritten, Ulf Gräwe, John Wilkin, and Jürgen Fischer
Biogeosciences, 20, 2743–2768, https://doi.org/10.5194/bg-20-2743-2023, https://doi.org/10.5194/bg-20-2743-2023, 2023
Short summary
Short summary
We quantify the impact of optically significant water constituents on surface heating rates and thermal energy fluxes in the western Baltic Sea. During productive months in 2018 (April to September) we found that the combined effect of coloured
dissolved organic matter and particulate absorption contributes to sea surface heating of between 0.4 and 0.9 K m−1 d−1 and a mean loss of heat (ca. 5 W m−2) from the sea to the atmosphere. This may be important for regional heat balance budgets.
Justyna Meler, Dagmara Litwicka, and Monika Zabłocka
Biogeosciences, 20, 2525–2551, https://doi.org/10.5194/bg-20-2525-2023, https://doi.org/10.5194/bg-20-2525-2023, 2023
Short summary
Short summary
We present a variability of absorption properties by different size fractions of particles suspended in the Baltic Sea waters. The light absorption coefficient by all suspended particles (ap), detritus (ad) and phytoplankton (aph) was determined for four size fractions: pico-particles, ultra-particles, nano-particles and micro-particles. We have shown the proportions of particles from the size classes (micro-, nano-, ultra- and pico-particles) in the total ap, ad and aph.
Jenny Choo, Nagur Cherukuru, Eric Lehmann, Matt Paget, Aazani Mujahid, Patrick Martin, and Moritz Müller
Biogeosciences, 19, 5837–5857, https://doi.org/10.5194/bg-19-5837-2022, https://doi.org/10.5194/bg-19-5837-2022, 2022
Short summary
Short summary
This study presents the first observation of water quality changes over space and time in the coastal systems of Sarawak, Malaysian Borneo, using remote sensing technologies. While our findings demonstrate that the southwestern coast of Sarawak is within local water quality standards, historical patterns of water quality degradation that were detected can help to alert local authorities and enhance management and monitoring strategies of coastal waters in this region.
Lars Olof Björn
Biogeosciences, 19, 1013–1019, https://doi.org/10.5194/bg-19-1013-2022, https://doi.org/10.5194/bg-19-1013-2022, 2022
Short summary
Short summary
The origin and evolution of life do not contradict the laws of thermodynamics, but we have no proof that it is an inevitable consequence of these laws. We do not know if the first life arose under illumination or in darkness in the deep ocean or in the Earth's crust. We have no proof that it arose due to a
thermodynamic imperative of dissipating the prevailing solar spectrum, as there are other ways for entropy increase in solar radiation. The biosphere may instead delay entropy production.
Fei Chai, Yuntao Wang, Xiaogang Xing, Yunwei Yan, Huijie Xue, Mark Wells, and Emmanuel Boss
Biogeosciences, 18, 849–859, https://doi.org/10.5194/bg-18-849-2021, https://doi.org/10.5194/bg-18-849-2021, 2021
Short summary
Short summary
The unique observations by a Biogeochemical Argo float in the NW Pacific Ocean captured the impact of a super typhoon on upper-ocean physical and biological processes. Our result reveals typhoons can increase the surface chlorophyll through strong vertical mixing without bringing nutrients upward from the depth. The vertical redistribution of chlorophyll contributes little to enhance the primary production, which is contradictory to many former satellite-based studies related to this topic.
Rafael Rasse, Hervé Claustre, and Antoine Poteau
Biogeosciences, 17, 6491–6505, https://doi.org/10.5194/bg-17-6491-2020, https://doi.org/10.5194/bg-17-6491-2020, 2020
Short summary
Short summary
Here, data collected by BGC-Argo floats are used to investigate the origin of the suspended small-particle layer inferred from optical sensors in the oxygen-poor Black Sea. Our results suggest that this layer is at least partially composed of the microbial communities that produce dinitrogen. We propose that oxygen and the optically derived small-particle layer can be used in combination to refine delineation of the effective N2-yielding section of the Black Sea and oxygen-deficient zones.
Christina Schallenberg, Robert F. Strzepek, Nina Schuback, Lesley A. Clementson, Philip W. Boyd, and Thomas W. Trull
Biogeosciences, 17, 793–812, https://doi.org/10.5194/bg-17-793-2020, https://doi.org/10.5194/bg-17-793-2020, 2020
Short summary
Short summary
Measurements of phytoplankton health still require the use of research vessels and are thus costly and sparse. In this paper we propose a new way to assess the health of phytoplankton using simple fluorescence measurements, which can be made autonomously. In the Southern Ocean, where the most limiting nutrient for phytoplankton is iron, we found a relationship between iron limitation and the depression of fluorescence under high light, the so-called non-photochemical quenching of fluorescence.
Stanford B. Hooker, Atsushi Matsuoka, Raphael M. Kudela, Youhei Yamashita, Koji Suzuki, and Henry F. Houskeeper
Biogeosciences, 17, 475–497, https://doi.org/10.5194/bg-17-475-2020, https://doi.org/10.5194/bg-17-475-2020, 2020
Short summary
Short summary
A Kd(λ) and aCDOM(440) data set spanned oceanic, coastal, and inland waters. The algorithmic approach, based on Kd end-member pairs, can be used globally. End-members with the largest spectral span had an accuracy of 1.2–2.4 % (RMSE). Validation was influenced by subjective
nonconservativewater masses. The influence of subcategories was confirmed with an objective cluster analysis.
Bingqing Liu, Eurico J. D'Sa, and Ishan D. Joshi
Biogeosciences, 16, 1975–2001, https://doi.org/10.5194/bg-16-1975-2019, https://doi.org/10.5194/bg-16-1975-2019, 2019
Short summary
Short summary
An approach using bio-optical field and ocean color (Sentinel-3A OLCI) data combined with inversion models allowed for the first time an assessment of phytoplankton response (changes in taxonomy, pigment composition and physiological state) to a large hurricane-related floodwater perturbation in a turbid estuary. The study revealed the transition in phytoplankton community species as well as the spatiotemporal distributions of phytoplankton diagnostic pigments in the floodwater-impacted bay.
Nina Schuback and Philippe D. Tortell
Biogeosciences, 16, 1381–1399, https://doi.org/10.5194/bg-16-1381-2019, https://doi.org/10.5194/bg-16-1381-2019, 2019
Short summary
Short summary
Understanding the dynamics of primary productivity requires mechanistic insight into the coupling of light absorption, electron transport and carbon fixation in response to environmental variability. Measuring such rates over diurnal timescales in contrasting regions allowed us to gain information on the regulation of photosynthetic efficiencies, with implications for the interpretation of bio-optical data, and the parameterization of models needed to monitor productivity over large scales.
Marie Barbieux, Julia Uitz, Bernard Gentili, Orens Pasqueron de Fommervault, Alexandre Mignot, Antoine Poteau, Catherine Schmechtig, Vincent Taillandier, Edouard Leymarie, Christophe Penkerc'h, Fabrizio D'Ortenzio, Hervé Claustre, and Annick Bricaud
Biogeosciences, 16, 1321–1342, https://doi.org/10.5194/bg-16-1321-2019, https://doi.org/10.5194/bg-16-1321-2019, 2019
Short summary
Short summary
As commonly observed in oligotrophic stratified waters, a subsurface (or deep) chlorophyll maximum (SCM) frequently characterizes the vertical distribution of phytoplankton chlorophyll in the Mediterranean Sea. SCMs often result from photoacclimation of the phytoplankton organisms. However they can also result from an actual increase in phytoplankton carbon biomass. Our results also suggest that a variety of intermediate types of SCMs are encountered between these two endmember situations.
Hannah L. Bourne, James K. B. Bishop, Todd J. Wood, Timothy J. Loew, and Yizhuang Liu
Biogeosciences, 16, 1249–1264, https://doi.org/10.5194/bg-16-1249-2019, https://doi.org/10.5194/bg-16-1249-2019, 2019
Short summary
Short summary
The biological carbon pump, the process by which carbon-laden particles sink out of the surface ocean, is dynamic and fast. The use of autonomous observations will better inform carbon export simulations. The Carbon Flux Explorer (CFE) was developed to optically measure hourly variations of particle flux. We calibrate the optical measurements of the CFE against C and N flux using samples collected during a coastal California cruise in June 2017. Our results yield well-correlated calibrations.
Hailong Zhang, Shengqiang Wang, Zhongfeng Qiu, Deyong Sun, Joji Ishizaka, Shaojie Sun, and Yijun He
Biogeosciences, 15, 4271–4289, https://doi.org/10.5194/bg-15-4271-2018, https://doi.org/10.5194/bg-15-4271-2018, 2018
Short summary
Short summary
The PSC model was re-tuned for regional application in the East China Sea, and successfully applied to MODIS data. We investigated previously unknown temporal–spatial patterns of the PSC in the ECS and analyzed their responses to environmental factors. The results show the PSC varied across both spatial and temporal scales, and was probably affected by the water column stability, upwelling, and Kuroshio. In addition, human activity and riverine discharge may impact the PSC dynamics.
Ishan D. Joshi and Eurico J. D'Sa
Biogeosciences, 15, 4065–4086, https://doi.org/10.5194/bg-15-4065-2018, https://doi.org/10.5194/bg-15-4065-2018, 2018
Short summary
Short summary
The standard quasi-analytical algorithm (QAA) was tuned for various ocean color sensors as QAA-V and optimized for and evaluated in a variety of waters from highly absorbing and turbid to relatively clear shelf waters. The QAA-V-derived optical properties of total absorption and backscattering coefficients showed an obvious improvement when compared to the standard QAA and were used to examine suspended particulate matter dynamics in Galveston Bay following flooding due to Hurricane Harvey.
Yasmina Loozen, Karin T. Rebel, Derek Karssenberg, Martin J. Wassen, Jordi Sardans, Josep Peñuelas, and Steven M. De Jong
Biogeosciences, 15, 2723–2742, https://doi.org/10.5194/bg-15-2723-2018, https://doi.org/10.5194/bg-15-2723-2018, 2018
Short summary
Short summary
Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it using satellite data. The goal was to investigate if it is possible to remotely sense the canopy nitrogen concentration and content of Mediterranean trees using a product calculated from satellite reflectance data, the MERIS Terrestrial Chlorophyll Index (MTCI). The tree plots were located in Catalonia, NE Spain. The relationship between MTCI and canopy N was present but dependent on the type of trees.
Stephanie Dutkiewicz, Anna E. Hickman, and Oliver Jahn
Biogeosciences, 15, 613–630, https://doi.org/10.5194/bg-15-613-2018, https://doi.org/10.5194/bg-15-613-2018, 2018
Short summary
Short summary
This study provides a demonstration that a biogeochemical/ecosystem/optical computer model which explicitly captures how light is radiated at the surface of the ocean and can be used as a laboratory to explore products (such as Chl a) that are derived from satellite measurements of ocean colour. It explores uncertainties that arise from data input used to derive the algorithms for the products, and issues arising from the interplay between optically important constituents in the ocean.
Gholamreza Mohammadpour, Jean-Pierre Gagné, Pierre Larouche, and Martin A. Montes-Hugo
Biogeosciences, 14, 5297–5312, https://doi.org/10.5194/bg-14-5297-2017, https://doi.org/10.5194/bg-14-5297-2017, 2017
Short summary
Short summary
The mass-specific absorption coefficients of total suspended particulate matter (aSPM*) had relatively low (high) values in areas of of the St. Lawrence Estuary influenced by marine (freshwater) waters and dominated by large-sized (small-sized) and organic-rich (mineral-rich) particulates.
The inorganic content of particulates was correlated with size-fractionated aSPM* values at a wavelength of 440 nm and the spectral slope of aSPM* as computed within the spectral range 400–710 nm.
Luisa Galgani and Anja Engel
Biogeosciences, 13, 2453–2473, https://doi.org/10.5194/bg-13-2453-2016, https://doi.org/10.5194/bg-13-2453-2016, 2016
G. E. Kim, M.-A. Pradal, and A. Gnanadesikan
Biogeosciences, 12, 5119–5132, https://doi.org/10.5194/bg-12-5119-2015, https://doi.org/10.5194/bg-12-5119-2015, 2015
Short summary
Short summary
Light absorption by colored detrital material (CDM) was included in a fully coupled Earth system model. Chlorophyll and biomass increased near the surface but decreased at greater depths when CDM was included. Concurrently, total biomass decreased leaving more nutrients in the water. Regional changes were analyzed by comparing the competing factors of diminished light availability and increased nutrient availability on phytoplankton growth.
J. A. Gamon, O. Kovalchuck, C. Y. S. Wong, A. Harris, and S. R. Garrity
Biogeosciences, 12, 4149–4159, https://doi.org/10.5194/bg-12-4149-2015, https://doi.org/10.5194/bg-12-4149-2015, 2015
Short summary
Short summary
NDVI and PRI sensors (SRS, Decagon Inc.) exhibited complementary responses during spring photosynthetic activation in evergreen and deciduous stands. In evergreens, PRI was most strongly influenced by changing chlorophyll:carotenoid pool sizes over the several weeks of the study, while it was most affected by xanthophyll cycle pigment activity at the diurnal timescale. These automated PRI and NDVI sensors offer new ways to explore environmental and physiological constraints on photosynthesis.
M. Grenier, A. Della Penna, and T. W. Trull
Biogeosciences, 12, 2707–2735, https://doi.org/10.5194/bg-12-2707-2015, https://doi.org/10.5194/bg-12-2707-2015, 2015
Short summary
Short summary
Four bio-profilers were deployed in the high-biomass plume downstream of the Kerguelen Plateau (KP; Southern Ocean) to examine the conditions favouring phytoplankton accumulation. Regions of very high Chla accumulation were mainly associated with surface waters from the northern KP. Light limitation seems to have a limited influence on production. A cyclonic eddy was associated with a significant export of organic matter and a subsequent dissolved inorganic carbon storage in the ocean interior.
I. Cetinić, M. J. Perry, E. D'Asaro, N. Briggs, N. Poulton, M. E. Sieracki, and C. M. Lee
Biogeosciences, 12, 2179–2194, https://doi.org/10.5194/bg-12-2179-2015, https://doi.org/10.5194/bg-12-2179-2015, 2015
Short summary
Short summary
The ratio of simple optical properties measured from underwater autonomous platforms, such as floats and gliders, is used as a new tool for studying phytoplankton distribution in the North Atlantic Ocean. The resolution that optical instruments carried by autonomous platforms provide allows us to study phytoplankton patchiness and its drivers in the oceanic systems.
B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 2014
M. Kahru and R. Elmgren
Biogeosciences, 11, 3619–3633, https://doi.org/10.5194/bg-11-3619-2014, https://doi.org/10.5194/bg-11-3619-2014, 2014
E. J. D'Sa, J. I. Goes, H. Gomes, and C. Mouw
Biogeosciences, 11, 3225–3244, https://doi.org/10.5194/bg-11-3225-2014, https://doi.org/10.5194/bg-11-3225-2014, 2014
A. Matsuoka, M. Babin, D. Doxaran, S. B. Hooker, B. G. Mitchell, S. Bélanger, and A. Bricaud
Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, https://doi.org/10.5194/bg-11-3131-2014, 2014
S. Q. Wang, J. Ishizaka, H. Yamaguchi, S. C. Tripathy, M. Hayashi, Y. J. Xu, Y. Mino, T. Matsuno, Y. Watanabe, and S. J. Yoo
Biogeosciences, 11, 1759–1773, https://doi.org/10.5194/bg-11-1759-2014, https://doi.org/10.5194/bg-11-1759-2014, 2014
S. L. Shang, Q. Dong, C. M. Hu, G. Lin, Y. H. Li, and S. P. Shang
Biogeosciences, 11, 269–280, https://doi.org/10.5194/bg-11-269-2014, https://doi.org/10.5194/bg-11-269-2014, 2014
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
S. Bélanger, S. A. Cizmeli, J. Ehn, A. Matsuoka, D. Doxaran, S. Hooker, and M. Babin
Biogeosciences, 10, 6433–6452, https://doi.org/10.5194/bg-10-6433-2013, https://doi.org/10.5194/bg-10-6433-2013, 2013
X. Zhang, Y. Huot, D. J. Gray, A. Weidemann, and W. J. Rhea
Biogeosciences, 10, 6029–6043, https://doi.org/10.5194/bg-10-6029-2013, https://doi.org/10.5194/bg-10-6029-2013, 2013
D. Antoine, S. B. Hooker, S. Bélanger, A. Matsuoka, and M. Babin
Biogeosciences, 10, 4493–4509, https://doi.org/10.5194/bg-10-4493-2013, https://doi.org/10.5194/bg-10-4493-2013, 2013
S. B. Hooker, J. H. Morrow, and A. Matsuoka
Biogeosciences, 10, 4511–4527, https://doi.org/10.5194/bg-10-4511-2013, https://doi.org/10.5194/bg-10-4511-2013, 2013
S. Bélanger, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 4087–4101, https://doi.org/10.5194/bg-10-4087-2013, https://doi.org/10.5194/bg-10-4087-2013, 2013
A. Matsuoka, S. B. Hooker, A. Bricaud, B. Gentili, and M. Babin
Biogeosciences, 10, 917–927, https://doi.org/10.5194/bg-10-917-2013, https://doi.org/10.5194/bg-10-917-2013, 2013
S. Takao, T. Hirawake, S. W. Wright, and K. Suzuki
Biogeosciences, 9, 3875–3890, https://doi.org/10.5194/bg-9-3875-2012, https://doi.org/10.5194/bg-9-3875-2012, 2012
R. Röttgers and B. P. Koch
Biogeosciences, 9, 2585–2596, https://doi.org/10.5194/bg-9-2585-2012, https://doi.org/10.5194/bg-9-2585-2012, 2012
A. Sadeghi, T. Dinter, M. Vountas, B. Taylor, M. Altenburg-Soppa, and A. Bracher
Biogeosciences, 9, 2127–2143, https://doi.org/10.5194/bg-9-2127-2012, https://doi.org/10.5194/bg-9-2127-2012, 2012
A. Matsuoka, A. Bricaud, R. Benner, J. Para, R. Sempéré, L. Prieur, S. Bélanger, and M. Babin
Biogeosciences, 9, 925–940, https://doi.org/10.5194/bg-9-925-2012, https://doi.org/10.5194/bg-9-925-2012, 2012
B. B. Taylor, E. Torrecilla, A. Bernhardt, M. H. Taylor, I. Peeken, R. Röttgers, J. Piera, and A. Bracher
Biogeosciences, 8, 3609–3629, https://doi.org/10.5194/bg-8-3609-2011, https://doi.org/10.5194/bg-8-3609-2011, 2011
G. Dall'Olmo, E. Boss, M. J. Behrenfeld, T. K. Westberry, C. Courties, L. Prieur, M. Pujo-Pay, N. Hardman-Mountford, and T. Moutin
Biogeosciences, 8, 3423–3439, https://doi.org/10.5194/bg-8-3423-2011, https://doi.org/10.5194/bg-8-3423-2011, 2011
H. Loisel, V. Vantrepotte, K. Norkvist, X. Mériaux, M. Kheireddine, J. Ras, M. Pujo-Pay, Y. Combet, K. Leblanc, G. Dall'Olmo, R. Mauriac, D. Dessailly, and T. Moutin
Biogeosciences, 8, 3295–3317, https://doi.org/10.5194/bg-8-3295-2011, https://doi.org/10.5194/bg-8-3295-2011, 2011
S. Shang, Q. Dong, Z. Lee, Y. Li, Y. Xie, and M. Behrenfeld
Biogeosciences, 8, 841–850, https://doi.org/10.5194/bg-8-841-2011, https://doi.org/10.5194/bg-8-841-2011, 2011
T. S. Kostadinov, D. A. Siegel, and S. Maritorena
Biogeosciences, 7, 3239–3257, https://doi.org/10.5194/bg-7-3239-2010, https://doi.org/10.5194/bg-7-3239-2010, 2010
F. Nencioli, G. Chang, M. Twardowski, and T. D. Dickey
Biogeosciences, 7, 151–162, https://doi.org/10.5194/bg-7-151-2010, https://doi.org/10.5194/bg-7-151-2010, 2010
A. Morel and B. Gentili
Biogeosciences, 6, 2625–2636, https://doi.org/10.5194/bg-6-2625-2009, https://doi.org/10.5194/bg-6-2625-2009, 2009
Cited articles
Aas, E.: Refractive index of phytoplankton derived from its metabolite composition, J. Plankton Res., 18, 2223–2249, 1996.
Aden, A. and Kerker, M.: Scattering of electromagnetic waves from two concentric spheres, J. Appl. Phys., 22, 1242–1246, 1951.
Bernard, S., Probyn, T., and Barlow, R.: Measured and modelled optical properties of particulate matter in the southern Benguela, South African J. Sci., 97, 410–420, 2001.
Bernard, S., Probyn, T. A., and Quirantes, A.: Simulating the optical properties of phytoplankton cells using a two-layered spherical geometry, Biogeosciences Discuss., 6, 1497–1563, https://doi.org/10.5194/bgd-6-1497-2009, 2009.
Bhandarkar, S., Zhang, Y., and Potter, W.: An edge detection technique using genetic algorithm-based optimization, Pattern Recognition, 27, 1159–1180, 1994.
Bohren, C. and Huffman, D. (Eds.): Absorption and scattering of light by small particles, New York: Wiley, Oxford, 1998.
Boss, E., Pegau, W., Gardner, W., Zaneveld, J., Barnard, A., Twardowski, M., Chang, G., and Dickey, T.: Spectral particulate attenuation and particle size distribution in the bottom boundary layer of a continental shelf, J. Geophys. Res., 106, 9509–9516, 2001a.
Boss, E., Twardowski, M., and Herring, S.: Shape of the particulate beam attenuation spectrum and its inversion to obtain the shape of the particulate size distribution, Appl. Opt., 40, 4885–4893, 2001b.
Boss, E., Pegau, W., Lee, M., Twardowski, M., Shybanov, E., Korotaev, G., and Baratange, F.: Particulate backscattering ratio at LEO 15 and its use to study particles composition and distribution, J. Geophys. Res., 109, C01014, https://doi.org/10.1029/2002JC001514, 2004.
Bricaud, A. and Morel, A.: Light attenuation and scattering by phytoplanktonic cells: a theoretical modeling, Appl. Opt., 25, 571–580, 1986.
Bricaud, A., Zaneveld, J., and Kitchen, J.: Backscattering efficiency of coccol-25 ithophorids: use of a three-layered sphere model, in: Ocean Optics XI Proc SPIE, 27–33, 1992.
Carder, K., Betzer, P., and Eggimann, D. W. (Eds.): Physical, chemical, and optical measures of suspended particle concentrations: Their intercomparison and application to the west African shelf, in: Suspended Solids in Water, Springer US, Oxford, 1974.
Choi, W., Fang-Yen, C., Badizadegan, K., Oh, S., Lue, N., Dasari, R., and Feld, M.: Tomographic phase microscopy, Nature Methods, 4, 717–719, 2007.
Ciotti, A., Lewis, M., and Cullen, J.: Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient, Limnol. Oceanogr., 47, 404–417, 2002.
Clavano, W., Boss, E., and Karp-Boss, L.: Inherent optical properties of non-spherical marine-like particles – From theory to observation, Oceanography and Marine Biology: An Annual Review, 45, 1–38, 2007.
Dall'Olmo, G., Westberry, T. K., Behrenfeld, M. J., Boss, E., and Slade, W. H.: Significant contribution of large particles to optical backscattering in the open ocean, Biogeosciences, 6, 947–967, https://doi.org/10.5194/bg-6-947-2009, 2009.
Fortin, F., Rainville, F. D., Gardner, M., Parizeau, M., and Gagné, C.: DEAP: Evolutionary algorithms made easy, Machine Learning Res., 13, 2171–2175, 2012.
Gordon, H. and Morel, A.: Remote assessment of ocean color for interpretation of satellite visible imagery: A review, Springer Science and Business Media, 2012.
Greenhalgh, D. and Marshall, S.: Convergence Criteria for Genetic Algorithms, J. Comput., 30, 269–282, 2000.
Hahn, S. L.: Hilbert transforms in signal processing, Artech House on Demand, 1996.
Hale, G. and Querry, M.: Optical constants of water in the 200-nm to 200-μm wavelength region, Appl. Opt., 12, 555–563, 1973.
Hold-Geoffroy, Y., Gagnon, O., and Parizeau, M.: Once you SCOOP, no need to fork, in: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, 60 pp., ACM, 2014.
Kirk, J. T.: Light and photosynthesis in aquatic ecosystems, Cambridge University Press, 1994.
Latimer, P.: Light scattering by a homogeneous sphere with radial projections, Appl. Opt., 23, 442–447, 1984.
Lorenz, L.: Sur la lumière réfléchie et réfractée par une sphère (surface) transparente, vol. I of Oeuvres scientifiques de L. Lorenz. Revues et annotées par H. Valentiner, Librairie Lehmann et stage, Copenhagen, 1898.
Mera, N., Elliott, L., and Ingham, D. B.: A multi-population genetic algorithm approach for solving ill-posed problems, Computational Mechanics, 33, 254–262, 2004.
Meyer, R.: Light-scattering from biological cells – Dependence of backscatter radiation on membrane thickness and refractive index, Appl. Opt., 18, 585–588, 1979.
Mie, G.: Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen, Ann. Phys., 330, 37–445, 1908.
Mischenko, M. and Travis, L.: Capabilities and limitations of a current Fortran implementation of the T-matrix method for randomly oriented, rotationally symmetric scatterers, Quant. Spectrosc. Radiat. Transfer, 60, 309–324, 1998.
Mischenko, M., Travis, L., and Mackowski, D.: T-matrix computations of light scattering by nonspherical particles: a review, Quant. Spectrosc. Radiat. Transfer, 55, 535–575, 1996.
Mobley, C., ed.: Light and Water: Radiative Transfer in Natural Waters, Academic Press, 1994.
Morel, A.: Diffusion de la lumiere par les eaux de mer; resultats experimentaux et approche theorique, Optics of the Sea, AGARD Lecture Ser., 61, 3.1.1.–3.1.76, 1973.
Mugnai, A. and Wiscombe, W.: Scattering from nonspherical Chebyshev particles. I: cross sections, single-scattering albedo, asymmetry factor, and backscattered fraction, Appl. Opt., 25, 1235–1244, 1986.
Nocedal, J. and Wright, S. (eds.): Numerical Optimization, New York : Springer, 1999.
Quirantes, A.: A T-matrix method and computer code for randomly oriented, axially symmetric coated scatterers, Quant. Spectrosc. Radiat. Transfer, 92, 373–381, 2005.
Quirantes, A. and Bernard, S.: Light scattering by marine algae: two-layer spherical and nonspherical models, Quant. Spectrosc. Radiat. Transfer, 89, 311–321, 2004.
Quirantes, A. and Bernard, S.: Light-scattering methods for modelling algal particles as a collection of coated and/or nonspherical scatterers, Quant. Spectrosc. Ra., 100, 315–324, 2006.
Ramírez-Pérez, M., Röttgers, R., Torrecilla, E., and Piera, J.: Cost-effective hyperspectral transmissometers for oceanographic applications: performance analysis, Sensors, 15, 20967–20989, 2015.
Sánchez, A., Zafra, E., and Piera, J.: Hyperspectral characterization of marine particles based on Mie-Lorentz and T-matrix codes and a genetic algorithm, in: Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), IEEE, 2014.
Stramski, D., Morel, A., and Bricaud, A.: Modeling the light attenuation and scattering by spherical phytoplanktonic cells: a retrieval of the bulk refractive index, Appl. Opt., 27, 3954–3956, 1988.
Stramski, D., Bricaud, A., and Morel, A.: Modeling the inherent optical properties of the ocean based on the detailed composition of the planktonic community, Appl. Opt., 40, 2929–2945, 2001.
Stramski, D., Boss, E., Bogucki, D., and Voss, K.: The role of seawater constituents in light backscattering in the ocean, Prog. Oceanogr., 61, 27–56, 2004.
Sun, B., Kattawar, G., Yang, P., Twardowskic, M., and Sullivan, J.: Simulation of the scattering properties of a chain-forming triangular prism oceanic diatom, Quant Spectrosc Radiat Transfer, available online, 2016.
Twardowski, M., Boss, E., Macdonald, J., Pegau, W., Barnard, A., and Zaneveld, J.: A model for estimating bulk refractive index from the optical backscattering ratio and the implications for understanding particle composition in case I and case II waters, J. Geophys. Res.-Oceans, 106, 14129–14142, 2001.
van de Hulst, H. (Ed.): Ligh scattering by small particles, New York : Wiley, Oxford, 1957.
Volz, F.: Die optik und meteorologie der atmosphärishen trubung, Ber. Dtsch. Wetterdienstes, 13, 1–47, 1954.
Waterman, P.: Matrix formulation of electromagnetic scattering, Proceedings of the IEEE, 53, 805–812, 1965.
Wiscombe, W. and Grams, G.: The backscatered fraction in two-stream approximations, J. Atmos. Sci., 33, 2440–2451, 1976.
Zaneveld, J. and Kitchen, J.: The variation in the inherent optical properties of phytoplankton near an absorption peak as determined by various models of cell structure, Geophys. Res., 100, 13309–13320, 1995.
Zhu, C., Byrd, R., and Nocedal, J.: L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization, ACM Transactions on Mathematical Software, 23, 550–560, 1997.
Short summary
In this paper, several methods for the retrieval of the refractive indices are used in three different examples modeling different shapes and particle size distributions. The error associated with each method is discussed and analyzed. It is finally demonstrated that those inverse methods using a genetic algorithm provide optimal estimations relative to other techniques that, although faster, are less accurate.
In this paper, several methods for the retrieval of the refractive indices are used in three...
Altmetrics
Final-revised paper
Preprint