Article
Environmental Sciences
Jianwei Wei, Menghua Wang, Karlis Mikelsons, Lide Jiang
Summary: This study explores the variability of chlorophyll-specific absorption coefficient of phytoplankton at 443 nm (aph*(443)) in surface oceans in different seasons and regions. The results show a decreasing gradient of aph*(443) from open oceans to coastal environments, with significant spatial variance. Seasonal variations are prominent and deviate from climatological means. A sinusoidal model characterizes the annual and semiannual features, with latitudinal dependence in amplitudes and phases. Satellite observations confirm a global mean relationship between aph*(443) and Chl-a comparable to in situ measurements, but the seasonal/regional relationships can deviate significantly. The proposed model predicts aph*(443) as a function of geolocation and time, which is validated as a promising alternative to traditional approaches.
Article
Environmental Sciences
Jing Teng, Tinglu Zhang, Kunpeng Sun, Hong Gao
Summary: In this study, a novel method was proposed to retrieve pigment concentrations of phytoplankton using hyperspectral data. The method, called the ES-SR method, showed strong correlations between pigment concentrations and the derivatives of phytoplankton absorption coefficients. Compared to other methods, the ES-SR method achieved the greatest accuracy and robustness. This method has the potential to effectively monitor phytoplankton community information in global oceans.
Article
Multidisciplinary Sciences
Shovonlal Roy
Summary: This study emphasizes the importance of estimating and monitoring the calorific value of marine phytoplankton in the global ocean using satellite remote-sensing, and introduces a novel semi-analytical algorithm for estimating phytoplankton concentrations. The method is presented with technical details and customizations to assist users in implementing it on different coding platforms.
Article
Computer Science, Theory & Methods
Aadidev Sooknanan, Patrick Hosein
Summary: Chemical processes in ocean surface waters have a significant impact on climate change, with recent focus on carbon levels. Remote sensing technology allows real-time measurement of key sea-surface data for estimating carbon levels. By utilizing hybrid satellite sensor data and cruise ship data for validation, a method for estimating carbon levels in oceans has been proposed successfully.
JOURNAL OF BIG DATA
(2022)
Article
Environmental Sciences
Srinivas Kolluru, Surya Prakash Tiwari, Shirishkumar S. Gedam
Summary: This study investigates methods for inverting spectral remote sensing reflectance to inherent optical properties and introduces hybrid inversion approaches. Evaluation of various algorithms revealed that the Quasi-Analytical Algorithm and Generalized Inherent Optical Property models perform better in deriving absorption spectrum from remote sensing reflectance. Hybrid models combining SAAs and ADAs demonstrate more accurate retrieval of absorption subcomponents.
Article
Environmental Sciences
Javier A. Concha, Marco Bracaglia, Vittorio E. Brando
Summary: This study compared two validation approaches using a common dataset of in situ and satellite data, showing that different validation methods can influence the accuracy impression of satellite products. Additionally, despite using the same in situ reference dataset, the validation statistical results were influenced by the validation approach selected.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Emma R. Haxen, Niels H. Schovsbo, Arne T. Nielsen, Sylvain Richoz, David K. Loydell, Nicole R. Posth, Donald E. Canfield, Emma U. Hammarlund
Summary: Recent studies indicate that oxygen levels in the early Paleozoic oceans likely remained below modern levels. This suggests a prolonged period of hypoxia, lasting around 100 million years after the Cambrian, during which early animals thrived in low oxygen conditions. The results support the idea that early animal evolution and the oxygenation of the atmosphere-hydrosphere system were closely related.
EARTH AND PLANETARY SCIENCE LETTERS
(2023)
Article
Environmental Sciences
Xiaolong Li, Yi Yang, Joji Ishizaka, Xiaofeng Li
Summary: Based on global observations and measurements, a DL-PPCE model was developed to estimate concentrations of 17 phytoplankton pigments worldwide. The model utilized a fusion architecture and three different types of input data to achieve robust estimation performance. The results showed strong correlations between estimated pigment concentrations and in-situ observations, and revealed the relationship between phytoplankton community dynamics and El Nino events in the western equatorial Pacific.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Xuerong Sun, Robert J. W. Brewin, Shubha Sathyendranath, Giorgio Dall'Olmo, Ruth Airs, Ray Barlow, Astrid Bracher, Vanda Brotas, Malika Kheireddine, Tarron Lamont, Emilio Maranon, Xose Anxelu G. Moran, Dionysios E. Raitsos, Fang Shen, Gavin H. Tilstone
Summary: Understanding the response of phytoplankton to climate change is crucial, and satellite remote sensing of ocean colour is the only means of monitoring phytoplankton at large scales. However, addressing ambiguity in ocean colour signal is necessary for developing algorithms for climate change studies. Enriching ocean colour data with sea surface temperature information can help tackle this issue.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Oceanography
Malika Kheireddine, N. Mayot, M. Ouhssain, B. H. Jones
Summary: This study identified different phytoplankton patterns in the Red Sea based on 21 years of satellite observations, with distinct winter blooms in the northern region and summer/winter blooms in the southern region potentially influenced by seasonal monsoon winds. Variabilities in these patterns suggest physical mechanisms could be sensitive to air-sea heat fluxes and ENSO phases, highlighting the importance of in situ measurements to understand phytoplankton production in the basin.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Geosciences, Multidisciplinary
Xuhua Cheng, Niansen Ou, Jiajia Chen, Rui Xin Huang
Summary: Seasonal variability of ocean bottom pressure in the world oceans was studied using 15 years of GRACE observations and a Pressure Coordinate Ocean Model. The study found that wind forcing plays a dominant role in regional OBP seasonal variations, while contributions from heat flux and freshwater flux are insignificant. The observed OBP was well reproduced by the PCOM model.
GEOSCIENCE LETTERS
(2021)
Article
Environmental Sciences
Shuo He, Chengfeng Le, Jianfeng He, Na Liu
Summary: A method for detecting coccolithophore blooms in the Arctic Sea using an ocean color index (CI) approach has been developed. The algorithm reduces the negative effects of heavy clouds and persistent fog, increasing the coverage of satellite observation. Compared to traditional methods, this algorithm yields more coverage and frequency of coccolithophore blooms.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Astronomy & Astrophysics
Yue Pan, Christine M. Simpson, Andrey Kravtsov, Facundo A. Gomez, Robert J. J. Grand, Federico Marinacci, Rudiger Pakmor, Viraj Manwadkar, Clarke J. Esmerian
Summary: We use the Auriga simulations to investigate the satellite quenching mechanisms in Milky Way-like hosts. The simulation results show that the color and star-forming properties of the satellite populations in Auriga resemble those observed in ELVES and SAGA survey. It is found that the transition from blue to red colors in satellites is driven by environmental effects.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Environmental Sciences
Tadzio Holtrop, Hendrik Jan Van der Woerd
Summary: Researchers have developed a Python framework for biomass estimation from remote sensing data, which includes efficient forward and inverse modeling capabilities. By utilizing polynomial interpolation of radiative transfer solutions, computation time for the inversion task has been greatly reduced while maintaining high accuracy.
Article
Microbiology
Gabrielle Armin, Jongsun Kim, Keisuke Inomura
Summary: The study reveals the mechanism behind the saturating relationship between phytoplankton growth rate and environmental nutrient concentration through a mechanistic model. It is found that intracellular macromolecular allocation, specifically to biosynthetic and photosynthetic molecules, contributes to the saturation effect. The insights from this study enhance our understanding of phytoplankton growth and its interaction with nutrient availability. Rating: 7/10.
Article
Biodiversity Conservation
Martina Ctvrtlikova, Josef Hejzlar, Jaroslav Vrba, Jiri Kopacek, Jiri Nedoma, Petr Hekera, Andrew J. Wade, Shovonlal Roy
ECOLOGICAL INDICATORS
(2016)
Article
Ecology
Tin C. Hoang, Anthony J. Cole, Ravi K. Fotedar, Michael J. O'Leary, Michael W. Lomas, Shovonlal Roy
MARINE ECOLOGY PROGRESS SERIES
(2016)
Article
Ecology
Tin C. Hoang, Anthony J. Cole, Ravi K. Fotedar, Michael J. O'Leary, Michael W. Lomas, Shovonlal Roy
MARINE ECOLOGY PROGRESS SERIES
(2016)
Article
Environmental Sciences
Tihomir S. Kostadinov, Anna Cabre, Harish Vedantham, Irina Marinov, Astrid Bracher, Robert J. W. Brewin, Annick Bricaud, Takafumi Hirata, Toru Hirawake, Nick J. Hardman-Mountford, Colleen Mouw, Shovonlal Roy, Julia Uitz
REMOTE SENSING OF ENVIRONMENT
(2017)
Article
Mathematics, Applied
Sanjay Chaudhuri, Shovonlal Roy, J. Chattopadhyay
APPLIED MATHEMATICS AND COMPUTATION
(2013)
Article
Fisheries
Shovonlal Roy, Trevor Platt, Shubha Sathyendranath
ICES JOURNAL OF MARINE SCIENCE
(2011)
Article
Geosciences, Multidisciplinary
Shovonlal Roy, David S. Broomhead, Trevor Platt, Shubha Sathyendranath, Stefano Ciavatta
JOURNAL OF MARINE SYSTEMS
(2012)
Article
Multidisciplinary Sciences
Shovonlal Roy, Shubha Sathyendranath, Trevor Platt
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2011)
Article
Environmental Sciences
Shovonlal Roy, Shubha Sathyendranath, Heather Bouman, Trevor Platt
REMOTE SENSING OF ENVIRONMENT
(2013)
Article
Chemistry, Analytical
Shubha Sathyendranath, Robert J. W. Brewin, Carsten Brockmann, Vanda Brotas, Ben Calton, Andrei Chuprin, Paolo Cipollini, Andre B. Couto, James Dingle, Roland Doerffer, Craig Donlon, Mark Dowell, Alex Farman, Mike Grant, Steve Groom, Andrew Horseman, Thomas Jackson, Hajo Krasemann, Samantha Lavender, Victor Martinez-Vicente, Constant Mazeran, Frederic Melin, Timothy S. Moore, Dagmar Mueller, Peter Regner, Shovonlal Roy, Chris J. Steele, Francois Steinmetz, John Swinton, Malcolm Taberner, Adam Thompson, Andre Valente, Marco Zuehlke, Vittorio E. Brando, Hui Feng, Gene Feldman, Bryan A. Franz, Robert Frouin, Richard W. Gould, Stanford B. Hooker, Mati Kahru, Susanne Kratzer, B. Greg Mitchell, Frank E. Muller-Karger, Heidi M. Sosik, Kenneth J. Voss, Jeremy Werdell, Trevor Platt
Article
Fisheries
Joseph W. Watson, Kieran Hyder, Robin Boyd, Robert Thorpe, Marc Simon Weltersbach, Keno Ferter, Steven J. Cooke, Shovonlal Roy, Richard M. Sibly
FISH AND FISHERIES
(2020)
Article
Ecology
Nicola D. Walker, Robin Boyd, Joseph Watson, Max Kotz, Zachary Radford, Lisa Readdy, Richard Sibly, Shovonlal Roy, Kieran Hyder
ECOLOGICAL MODELLING
(2020)
Article
Multidisciplinary Sciences
Shovonlal Roy
Summary: This study emphasizes the importance of estimating and monitoring the calorific value of marine phytoplankton in the global ocean using satellite remote-sensing, and introduces a novel semi-analytical algorithm for estimating phytoplankton concentrations. The method is presented with technical details and customizations to assist users in implementing it on different coding platforms.
Review
Environmental Sciences
Colleen B. Mouw, Nick J. Hardman-Mountford, Severine Alvain, Astrid Bracher, Robert J. W. Brewin, Annick Bricaud, Aurea M. Ciotti, Emmanuel Devred, Amane Fujiwara, Takafumi Hirata, Toru Hirawake, Tihomir S. Kostadinov, Shovonlal Roy, Julia Uitz
FRONTIERS IN MARINE SCIENCE
(2017)