264 citations as recorded by crossref.

1. In Situ and Satellite Observations of Phytoplankton Size Classes in the Entire Continental Shelf Sea, China X. Sun et al. 10.1029/2017JC013651
2. Genetic monitoring of open ocean biodiversity: An evaluation of DNA metabarcoding for processing continuous plankton recorder samples B. Deagle et al. 10.1111/1755-0998.12740
3. Coupling ecological concepts with an ocean-colour model: Phytoplankton size structure X. Sun et al. 10.1016/j.rse.2022.113415
4. A comparison between phytoplankton community structures derived from a global 3D ecosystem model and satellite observation T. Hirata et al. 10.1016/j.jmarsys.2012.01.009
5. Modelling size-fractionated primary production in the Atlantic Ocean from remote sensing R. Brewin et al. 10.1016/j.pocean.2017.02.002
6. Long-term changes in phytoplankton pigment contents in the Baltic Sea: Trends and spatial variability during 20 years of investigations J. Stoń-Egiert & M. Ostrowska 10.1016/j.csr.2022.104666
7. Long-term trends in ocean plankton production and particle export between 1960–2006 C. Laufkötter et al. 10.5194/bg-10-7373-2013
8. Diagnosing seasonal to multi-decadal phytoplankton group dynamics in a highly productive coastal ecosystem D. Catlett et al. 10.1016/j.pocean.2021.102637
9. Characterization of Phytoplankton Composition in Lake Maggiore: Integrated Chemotaxonomy for Enhanced Cyanobacteria Detection E. Canuti & M. Austoni 10.3390/microorganisms12112211
10. Optical characterization of marine phytoplankton assemblages within surface waters of the western Arctic Ocean R. Reynolds & D. Stramski 10.1002/lno.11199
11. A Novel Statistical Approach for Ocean Colour Estimation of Inherent Optical Properties and Cyanobacteria Abundance in Optically Complex Waters M. Soja-Woźniak et al. 10.3390/rs9040343
12. Bridging marine ecosystem and biogeochemistry research: Lessons and recommendations from comparative studies B. Salihoglu et al. 10.1016/j.jmarsys.2012.07.005
13. Phytoplankton diversity emerging from chromatic adaptation and competition for light E. Álvarez et al. 10.1016/j.pocean.2022.102789
14. Quantifying Per-Cell Chlorophyll a in Natural Picophytoplankton Populations Using Fluorescence-Activated Cell Sorting N. Bock et al. 10.3389/fmars.2022.850646
15. Hyperspectral optical discrimination of phytoplankton community structure in Funka Bay and its implications for ocean color remote sensing of diatoms T. Isada et al. 10.1016/j.rse.2014.12.006
16. Remote sensing of phytoplankton community composition in the northern Benguela upwelling system T. Moloto et al. 10.3389/fmars.2023.1118226
17. The MAREDAT global database of high performance liquid chromatography marine pigment measurements J. Peloquin et al. 10.5194/essd-5-109-2013
18. Phytoplankton size class in the East China Sea derived from MODIS satellite data H. Zhang et al. 10.5194/bg-15-4271-2018
19. Potential roles of dimethysulfoxide in regional sulfur cycling and phytoplankton physiological ecology in the NE Subarctic Pacific A. Herr et al. 10.1002/lno.11589
20. Changing Physical Conditions and Lower and Upper Trophic Level Responses on the US Northeast Shelf K. Friedland et al. 10.3389/fmars.2020.567445
21. Dynamic Biological Functioning Important for Simulating and Stabilizing Ocean Biogeochemistry P. Buchanan et al. 10.1002/2017GB005753
22. Retrieving Phytoplankton Size Class from the Absorption Coefficient and Chlorophyll A Concentration Based on Support Vector Machine L. Deng et al. 10.3390/rs11091054
23. ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels M. Butenschön et al. 10.5194/gmd-9-1293-2016
24. Rapid and highly sensitive analysis of chlorophylls and carotenoids from marine phytoplankton using ultra-high performance liquid chromatography (UHPLC) with the first derivative spectrum chromatogram (FDSC) technique K. Suzuki et al. 10.1016/j.marchem.2015.07.010
25. Comparison of Satellite-Derived Phytoplankton Size Classes Using In-Situ Measurements in the South China Sea S. Hu et al. 10.3390/rs10040526
26. Environmental Forcing of Nitrogen Fixation in the Eastern Tropical and Sub-Tropical North Atlantic Ocean M. Rijkenberg et al. 10.1371/journal.pone.0028989
27. Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux 10.3389/fmars.2017.00060
28. Biogeographic classification of the Caspian Sea F. Fendereski et al. 10.5194/bg-11-6451-2014
29. Bioregionalization of the subarctic Pacific based on phytoplankton phenology and composition M. Konik et al. 10.1016/j.pocean.2024.103315
30. Census of seafloor sediments in the world’s ocean A. Dutkiewicz et al. 10.1130/G36883.1
31. Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets H. Pradhan et al. 10.1029/2019JC015586
32. Phytoplankton distribution in unusually low sea ice cover over the Pacific Arctic P. Coupel et al. 10.5194/bg-9-4835-2012
33. Impact of spatiotemporal variability in phytoplankton size structure on benthic macrofaunal distribution in the Pacific Arctic H. Waga et al. 10.1016/j.dsr2.2018.10.008
34. Trace metal contents of autotrophic flagellates from contrasting open‐ocean ecosystems L. Sofen et al. 10.1002/lol2.10258
35. Utilizing Satellite Imagery for Seasonal Trophic Analysis in the Freshwater Reservoir R. Rachmadita et al. 10.47352/jmans.2774-3047.188
36. 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 B. Liu et al. 10.5194/bg-16-1975-2019
37. Inversion of spectral absorption coefficients to infer phytoplankton size classes, chlorophyll concentration, and detrital matter X. Zhang et al. 10.1364/AO.54.005805
38. Climate-driven zooplankton shifts cause large-scale declines in food quality for fish R. Heneghan et al. 10.1038/s41558-023-01630-7
39. The sensitivity of the equatorial pacific ODZ to particulate organic matter remineralization in a climate model under pre-industrial conditions P. Lerner et al. 10.1016/j.ocemod.2023.102303
40. Synoptic relationships to estimate phytoplankton communities specific to sizes and species from satellite observations in coastal waters D. Sun et al. 10.1364/OE.27.0A1156
41. A bio-optical inversion model to retrieve absorption contributions and phytoplankton size structure from total minus water spectral absorption using genetic algorithm J. Lin et al. 10.1007/s00343-013-2330-9
42. Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer T. Kodama et al. 10.1371/journal.pone.0257258
43. Remote sensing algorithms for particulate inorganic carbon (PIC) and the global cycle of PIC W. Balch & C. Mitchell 10.1016/j.earscirev.2023.104363
44. Phytoplankton composition from sPACE: Requirements, opportunities, and challenges I. Cetinić et al. 10.1016/j.rse.2023.113964
45. Can simple models predict large-scale surface ocean isoprene concentrations? D. Booge et al. 10.5194/acp-16-11807-2016
46. Interannual changes in summer phytoplankton community composition in relation to water mass variability in the East China Sea Q. Xu et al. 10.1007/s10872-018-0484-y
47. Phytoplankton pigment in situ measurements uncertainty evaluation: an HPLC interlaboratory comparison with a European-scale dataset E. Canuti 10.3389/fmars.2023.1197311
48. Influence of the Changjiang River on the light absorption properties of phytoplankton from the East China Sea S. Wang et al. 10.5194/bg-11-1759-2014
49. Bio-Optical Characterization and Ocean Colour Inversion in the Eastern Lagoon of New Caledonia, South Tropical Pacific L. Favareto et al. 10.3390/rs10071043
50. Phytoplankton responses to the 2014–2016 warming anomaly in the northeast subarctic Pacific Ocean M. Peña et al. 10.1002/lno.11056
51. Remote‐Sensing Estimation of Phytoplankton Size Classes FromGOCISatellite Measurements in Bohai Sea and Yellow Sea D. Sun et al. 10.1002/2017JC013099
52. A global satellite observation of phytoplankton taxonomic groups over the past two decades Z. Li et al. 10.1111/gcb.16766
53. Temporal changes in total and size-fractioned chlorophyll-a in surface waters of three provinces in the Atlantic Ocean (September to November) between 2003 and 2010 E. Agirbas et al. 10.1016/j.jmarsys.2015.05.008
54. Machine Learning to Characterize Biogenic Isoprene Emissions and Atmospheric Formaldehyde with Their Environmental Drivers in the Marine Boundary Layer T. Wang et al. 10.3390/atmos15060679
55. Phenology of Size-Partitioned Phytoplankton Carbon-Biomass from Ocean Color Remote Sensing and CMIP5 Models A. Cabré et al. 10.3389/fmars.2016.00039
56. Light absorption spectra of naturally mixed phytoplankton assemblages for retrieval of phytoplankton group composition in coastal oceans X. Sun et al. 10.1002/lno.12047
57. Small Phytoplankton Shapes Colored Dissolved Organic Matter Dynamics in the North Atlantic Subtropical Gyre E. Organelli & H. Claustre 10.1029/2019GL084699
58. Ultraphytoplankton community structure in subsurface waters along a North-South Mediterranean transect I. Boudriga et al. 10.1016/j.marpolbul.2022.113977
59. Satellite monitoring of surface phytoplankton functional types in the Atlantic Ocean over 20 years (2002–2021) H. Xi et al. 10.5194/sp-1-osr7-5-2023
60. Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model A. Palacz et al. 10.5194/bg-10-7553-2013
61. Impact of 2015–2016 El Niño on phytoplankton size class distribution during the summer and winter monsoon in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2023.2295839
62. Carbon export fluxes and export efficiency in the central Arctic during the record sea‐ice minimum in 2012: a joint 234Th/238U and 210Po/210Pb study M. Roca‐Martí et al. 10.1002/2016JC011816
63. Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
64. Japanese studies of ocean data assimilation: milestones over the past 20 years and future perspectives Y. Fujii et al. 10.5928/kaiyou.26.2_15
65. Global marine plankton functional type biomass distributions: coccolithophores C. O'Brien et al. 10.5194/essd-5-259-2013
66. Remote sensing of phytoplankton community composition along the northeast coast of the United States X. Pan et al. 10.1016/j.rse.2011.09.011
67. Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
68. Carbon: Chlorophyll Ratios and Net Primary Productivity of Subarctic Pacific Surface Waters Derived From Autonomous Shipboard Sensors W. Burt et al. 10.1002/2017GB005783
69. Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images Z. Yan et al. 10.1038/s41598-025-87338-4
70. Temperature-Correlated Changes in Phytoplankton Community Structure Are Restricted to Polar Waters B. Ward & H. Dam 10.1371/journal.pone.0135581
71. Remote estimation of phytoplankton size fractions using the spectral shape of light absorption S. Wang et al. 10.1364/OE.23.010301
72. Picophytoplankton phenology in the global ocean assessed by quantitative niche models N. Visintini & P. Flombaum 10.1007/s00227-022-04080-5
73. Contributions of phytoplankton and bacteria to the optical backscattering coefficient over the Mid-Atlantic Ridge V. Martinez-Vicente et al. 10.3354/meps09388
74. Assessing phytoplankton community composition in the Atlantic Ocean from in situ and satellite observations V. Brotas et al. 10.3389/fmars.2023.1229692
75. Remote sensing of size structure of phytoplankton communities using optical properties of the Chukchi and Bering Sea shelf region A. Fujiwara et al. 10.5194/bg-8-3567-2011
76. The Indian Ocean Dipole Modulates the Phytoplankton Size Structure in the Southern Tropical Indian Ocean X. Liao et al. 10.3390/rs16111970
77. Eukaryotic Phytoplankton Contributing to a Seasonal Bloom and Carbon Export Revealed by Tracking Sequence Variants in the Western North Pacific T. Shiozaki et al. 10.3389/fmicb.2019.02722
78. Biomass Pyramids of Marine Mesozooplankton Communities as Inferred From Their Integrated Trophic Positions N. Ishikawa et al. 10.1007/s10021-022-00753-w
79. Linking phytoplankton absorption to community composition in Chinese marginal seas D. Sun et al. 10.1016/j.pocean.2021.102517
80. Statistical approach for the retrieval of phytoplankton community structures from in situ fluorescence measurements S. Wang et al. 10.1364/OE.24.023635
81. Phytoplankton biomass and community composition in the frontal zones of Southern Ocean R. Mishra et al. 10.1016/j.dsr2.2020.104799
82. Retrieval of Phytoplankton Pigment Composition from Their In Vivo Absorption Spectra Y. Zhang et al. 10.3390/rs13245112
83. The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation R. Brewin et al. 10.1016/j.dsr2.2012.04.009
84. AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023 Y. Zhang et al. 10.5194/essd-16-4793-2024
85. Challenges in integrative approaches to modelling the marine ecosystems of the North Atlantic: Physics to fish and coasts to ocean J. Holt et al. 10.1016/j.pocean.2014.04.024
86. Temporal Variability in Net Primary Production in an Upwelling Area off Central Chile (36°S) G. Testa et al. 10.3389/fmars.2018.00179
87. Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning A. Puissant et al. 10.3390/rs13081445
88. Intraseasonal predictability of natural phytoplankton population dynamics V. Agarwal et al. 10.1002/ece3.8234
89. Comparative Analysis of Total and Size-Fractionated Chlorophyll a in the Yellow Sea and Western Pacific Y. Wei et al. 10.3389/fmicb.2022.903159
90. Functional Stability of a Coastal Mediterranean Plankton Community During an Experimental Marine Heatwave T. Soulié et al. 10.3389/fmars.2022.831496
91. Reproduction of Spatio-Temporal Patterns of Major Mediterranean Phytoplankton Groups from Remote Sensing OC-CCI Data G. Navarro et al. 10.3389/fmars.2017.00246
92. A northeast United States Atlantis marine ecosystem model with ocean reanalysis and ocean color forcing J. Caracappa et al. 10.1016/j.ecolmodel.2022.110038
93. Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self‐Organizing Maps R. El Hourany et al. 10.1029/2019JC015131
94. Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups R. Brewin et al. 10.3389/fmars.2017.00104
95. Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. 10.1029/2018JC014329
96. Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon A. Chase et al. 10.1029/2022GL098076
97. Simulating the ocean’s chlorophyll dynamic range from coastal upwelling to oligotrophy N. Van Oostende et al. 10.1016/j.pocean.2018.10.009
98. Anthropogenic climate change drives shift and shuffle in North Atlantic phytoplankton communities A. Barton et al. 10.1073/pnas.1519080113
99. Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean V. Brotas et al. 10.3389/fmars.2021.682621
100. Summer phytoplankton photosynthetic characteristics in the Changjiang River Estuary and the adjacent East China Sea J. Li et al. 10.3389/fmars.2023.1111557
101. A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. 10.3389/fmars.2017.00041
102. A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) V. Schourup-Kristensen et al. 10.5194/gmd-7-2769-2014
103. Retrieving vertical phytoplankton functional types in the South China Sea and adjacent Taiwan Strait based on phytoplankton absorption spectra and machine learning Q. Zhu et al. 10.1002/lom3.10679
104. Enhanced assessment of the eReefs biogeochemical model for the Great Barrier Reef using the Concept/State/Process/System model evaluation framework B. Robson et al. 10.1016/j.envsoft.2020.104707
105. Influence of timing of sea ice retreat on phytoplankton size during marginal ice zone bloom period on the Chukchi and Bering shelves A. Fujiwara et al. 10.5194/bg-13-115-2016
106. Variability of biophysical parameters during La Niña condition in the Eastern Region of the Indian Ocean A. Khan et al. 10.1016/j.seares.2024.102533
107. Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
108. The assessment of a global marine ecosystem model on the basis of emergent properties and ecosystem function: a case study with ERSEM L. de Mora et al. 10.5194/gmd-9-59-2016
109. Shifting of phytoplankton community in the frontal regions of Indian Ocean sector of the Southern Ocean using in situ and satellite data R. Mishra et al. 10.1117/1.JRS.11.016019
110. Incorporating environmental data in abundance-based algorithms for deriving phytoplankton size classes in the Atlantic Ocean T. Moore & C. Brown 10.1016/j.rse.2020.111689
111. 3LATNet: Attention based deep learning model for global Chlorophyll-a retrieval from GCOM-C satellite M. Salah et al. 10.1016/j.isprsjprs.2024.12.019
112. Size scaling patterns of species richness and carbon biomass for marine phytoplankton functional groups L. Ignatiades 10.1111/maec.12454
113. Mechanisms shaping size structure and functional diversity of phytoplankton communities in the ocean E. Acevedo-Trejos et al. 10.1038/srep08918
114. Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al. 10.3389/fmars.2017.00203
115. Characterization of the synoptic‐scale diversity, biogeography, and size distribution of diatoms in the North Pacific K. Sugie & K. Suzuki 10.1002/lno.10473
116. Diatom Phenology in the Southern Ocean: Mean Patterns, Trends and the Role of Climate Oscillations M. Soppa et al. 10.3390/rs8050420
117. First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices M. Dugenne et al. 10.5194/essd-16-2971-2024
118. Linking oceanographic conditions to foraging behaviour of southern elephant seals by characterising mid-trophic levels with an animal-borne echosounder M. Molinet et al. 10.1016/j.jmarsys.2025.104064
119. Spatio-temporal variability of micro-, nano- and pico-phytoplankton in the Mediterranean Sea from satellite ocean colour data of SeaWiFS M. Sammartino et al. 10.5194/os-11-759-2015
120. Impact of cyclone Ockhi on phytoplankton size classes structure in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2023.2229499
121. Retrieving absorption coefficients of multiple phytoplankton pigments from hyperspectral remote sensing reflectance measured over cyanobacteria bloom waters G. Wang et al. 10.1002/lom3.10102
122. Evaluation of diagnostic pigments to estimate phytoplankton size classes A. Chase et al. 10.1002/lom3.10385
123. Microbial plankton responses to multiple environmental drivers in marine ecosystems with different phosphorus limitation degrees M. Cabrerizo et al. 10.1016/j.scitotenv.2021.151491
124. Underway sampling of marine inherent optical properties on the Tara Oceans expedition as a novel resource for ocean color satellite data product validation P. Werdell et al. 10.1016/j.mio.2013.09.001
125. Contrasting biogeography and diversity patterns between diatoms and haptophytes in the central Pacific Ocean H. Endo et al. 10.1038/s41598-018-29039-9
126. Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS G. Wang et al. 10.3390/app8122678
127. Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra H. Xi et al. 10.3390/rs71114781
128. Estimation of Phytoplankton Size Classes in the Littoral Sea of Korea Using a New Algorithm Based on Deep Learning J. Kang et al. 10.3390/jmse10101450
129. Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales S. Kramer et al. 10.1016/j.rse.2021.112879
130. Seasonal bias in global ocean color observations K. Bisson et al. 10.1364/AO.426137
131. Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity I. Tsakalakis et al. 10.1016/j.ecolmodel.2018.06.022
132. Modelling buoyancy-driven vertical movement of Trichodesmium application in the Great Barrier Reef C. Ani et al. 10.1016/j.ecolmodel.2023.110567
133. Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
134. Relative contributions of photophysiology and chlorophyll-a abundance to phytoplankton group-specific primary production in the Kuroshio region as inferred by satellite ocean color remote sensing T. Hirata & K. Suzuki 10.1007/s10872-022-00638-5
135. Diatom species fluxes in the seasonally ice-covered Antarctic Zone: New data from offshore Prydz Bay and comparison with other regions from the eastern Antarctic and western Pacific sectors of the Southern Ocean A. Rigual-Hernández et al. 10.1016/j.dsr2.2018.06.005
136. Carbon-based phytoplankton size classes retrieved via ocean color estimates of the particle size distribution T. Kostadinov et al. 10.5194/os-12-561-2016
137. Remote sensing of picophytoplankton distribution in the northern South China Sea X. Pan et al. 10.1016/j.rse.2012.10.014
138. Deep ocean nutrients imply large latitudinal variation in particle transfer efficiency T. Weber et al. 10.1073/pnas.1604414113
139. Retrievals of phytoplankton community structures from in situ fluorescence measurements by HS-6P Z. Ling et al. 10.1364/OE.26.030556
140. Decoupling of ΔO2∕Ar and particulate organic carbon dynamics in nearshore surface ocean waters S. Rosengard et al. 10.5194/bg-17-3277-2020
141. Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam 10.3389/fmars.2020.00599
142. Sensitivity of Inherent Optical Properties From Ocean Reflectance Inversion Models to Satellite Instrument Wavelength Suites P. Werdell & L. McKinna 10.3389/feart.2019.00054
143. Remote sensing of spatial and temporal patterns of phytoplankton assemblages in the Bohai Sea, Yellow Sea, and east China sea D. Sun et al. 10.1016/j.watres.2019.03.081
144. Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data A. Di Cicco et al. 10.3389/fmars.2017.00126
145. Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class R. Brewin et al. 10.1016/j.rse.2015.07.004
146. Retrieval of Micro-Phytoplankton Density using Sentinel-3 and MODIS Satellite Sensors on the Eastern Algerian Coast K. Abdallah et al. 10.1007/s41208-023-00624-8
147. Variation in phytoplankton composition between two North Pacific frontal zones along 158°W during winter–spring 2008–2011 E. Howell et al. 10.1016/j.pocean.2015.06.003
148. Comparative analysis of HPLC methods for measuring phytoplankton pigments in the Western Mediterranean Sea: A contribution to the satellite Cal/Val activities E. Canuti et al. 10.1016/j.marchem.2025.104516
149. Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data M. Soppa et al. 10.3390/rs61010089
150. Phytoplankton community structure in relation to iron and macronutrient fluxes from subsurface waters in the western North Pacific during summer H. Deng et al. 10.5194/bg-22-1495-2025
151. Oceanographic boundaries constrain microbial diversity gradients in the South Pacific Ocean E. Raes et al. 10.1073/pnas.1719335115
152. Mechanisms of microbial carbon sequestration in the ocean – future research directions N. Jiao et al. 10.5194/bg-11-5285-2014
153. Multiple environmental controls on phytoplankton growth strategies determine adaptive responses of the N : P ratio S. Daines et al. 10.1111/ele.12239
154. Impact of Indian Ocean Dipole Events on Phytoplankton Size Classes Distribution in the Arabian Sea R. Shunmugapandi et al. 10.3390/oceans3040032
155. Global satellite observations of marine phytoplankton pigments over the past two decades D. Sun et al. 10.1002/lno.70017
156. The global distribution of phytoplankton size spectrum and size classes from their light-absorption spectra derived from satellite data S. Roy et al. 10.1016/j.rse.2013.08.004
157. The Fundamental Contribution of Phytoplankton Spectral Scattering to Ocean Colour: Implications for Satellite Detection of Phytoplankton Community Structure L. Lain & S. Bernard 10.3390/app8122681
158. Photoperiods and light differentially influence growth and potential niches of phycocyanin‐ and phycoerythrin‐rich picocyanobacteria S. Śliwińska‐Wilczewska et al. 10.1002/lno.12750
159. Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean V. Brotas et al. 10.1016/j.rse.2013.02.013
160. A Self-Attention-Based Deep Learning Model for Estimating Global Phytoplankton Pigment Profiles Y. Yang et al. 10.1109/TGRS.2024.3435044
161. Factors Regulating the Relationship Between Total and Size-Fractionated Chlorophyll-a in Coastal Waters of the Red Sea R. Brewin et al. 10.3389/fmicb.2019.01964
162. Marine biogeochemical cycling and oceanic CO2 uptake simulated by the NUIST Earth System Model version 3 (NESM v3) Y. Dai et al. 10.5194/gmd-13-3119-2020
163. Recent decadal trends in global phytoplankton composition C. Rousseaux & W. Gregg 10.1002/2015GB005139
164. Ecoregions in the Mediterranean Sea Through the Reanalysis of Phytoplankton Functional Types and Carbon Fluxes S. Ciavatta et al. 10.1029/2019JC015128
165. Using remote sensing as a support to the implementation of the European Marine Strategy Framework Directive in SW Portugal S. Cristina et al. 10.1016/j.csr.2015.03.011
166. Phytoplankton and protozooplankton on the southern Patagonian shelf (Argentina, 47°–55°S) in late summer: Potentially toxic species and community assemblage structure linked to environmental features J. Antacli et al. 10.1016/j.seares.2018.07.012
167. Modelling spatial and temporal patterns in size-structured marine plankton communities: top–down and bottom–up controls B. Ward et al. 10.1093/plankt/fbt097
168. Ecological niches of open ocean phytoplankton taxa P. Brun et al. 10.1002/lno.10074
169. Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data A. Sadeghi et al. 10.5194/os-8-1055-2012
170. A global seasonal surface ocean climatology of phytoplankton types based on CHEMTAX analysis of HPLC pigments C. Swan et al. 10.1016/j.dsr.2015.12.002
171. Primary productivity and phytoplankton community structure in surface waters of the western subarctic Pacific and the Bering Sea during summer with reference to bloom stages H. Waga et al. 10.1016/j.pocean.2021.102738
172. Sulphur compounds, methane, and phytoplankton: interactions along a north–south transit in the western Pacific Ocean C. Zindler et al. 10.5194/bg-10-3297-2013
173. Modulation of the vertical particle transfer efficiency in the oxygen minimum zone off Peru M. Bretagnon et al. 10.5194/bg-15-5093-2018
174. Using empirical orthogonal functions derived from remote-sensing reflectance for the prediction of phytoplankton pigment concentrations A. Bracher et al. 10.5194/os-11-139-2015
175. Optically-derived estimates of phytoplankton size class and taxonomic group biomass in the Eastern Subarctic Pacific Ocean C. Zeng et al. 10.1016/j.dsr.2018.04.001
176. Nutrient and dissolved inorganic carbon variability in the North Pacific S. Yasunaka et al. 10.1007/s10872-020-00561-7
177. Patterns and drivers of dimethylsulfide concentration in the northeast subarctic Pacific across multiple spatial and temporal scales A. Herr et al. 10.5194/bg-16-1729-2019
178. Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data H. Xi et al. 10.1016/j.rse.2020.111704
179. Mesoscale Variability of Conditions Favoring an Iron‐Induced Diatom Bloom Downstream of the Kerguelen Plateau A. Della Penna et al. 10.1029/2018JC013884
180. Iterative spatial leave-one-out cross-validation and gap-filling based data augmentation for supervised learning applications in marine remote sensing A. Stock & A. Subramaniam 10.1080/15481603.2022.2107113
181. Assessing Pigment-Based Phytoplankton Community Distributions in the Red Sea M. Kheireddine et al. 10.3389/fmars.2017.00132
182. High Growth Rate of Diatoms Explained by Reduced Carbon Requirement and Low Energy Cost of Silica Deposition K. Inomura et al. 10.1128/spectrum.03311-22
183. HYDROPT: An Open-Source Framework for Fast Inverse Modelling of Multi- and Hyperspectral Observations from Oceans, Coastal and Inland Waters T. Holtrop & H. Van Der Woerd 10.3390/rs13153006
184. Detecting phytoplankton diatom fraction based on the spectral shape of satellite‐derived algal light absorption coefficient G. Zheng & P. DiGiacomo 10.1002/lno.10725
185. Discrimination of phytoplankton functional groups using an ocean reflectance inversion model P. Werdell et al. 10.1364/AO.53.004833
186. Dynamics of phytoplankton communities in the Baltic Sea: insights from a multi-dimensional analysis of pigment and spectral data—part I, pigment dataset E. Canuti & A. Penna 10.3389/fmars.2024.1425347
187. Inter-comparison of phytoplankton functional type phenology metrics derived from ocean color algorithms and Earth System Models T. Kostadinov et al. 10.1016/j.rse.2016.11.014
188. Seasonal dynamics of major phytoplankton functional types in the coastal waters of the west coast of Canada derived from OLCI Sentinel 3A P. Vishnu et al. 10.3389/fmars.2022.1018510
189. Dynamics of phytoplankton communities in the Baltic Sea: insights from a multidimensional analysis of pigment and spectral data: part II, spectral dataset E. Canuti & A. Penna 10.3389/fmars.2025.1518057
190. The Role of Particle Size, Ballast, Temperature, and Oxygen in the Sinking Flux to the Deep Sea J. Cram et al. 10.1029/2017GB005710
191. Linking satellites to genes with machine learning to estimate phytoplankton community structure from space R. El Hourany et al. 10.5194/os-20-217-2024
192. Impacts of the 2014–2015 Warm‐Water Anomalies on Nutrients, Chlorophyll‐a and Hydrographic Conditions in the Coastal Zone of Northern Baja California F. Delgadillo‐Hinojosa et al. 10.1029/2020JC016473
193. Variability of light absorption coefficients by different size fractions of suspensions in the southern Baltic Sea J. Meler et al. 10.5194/bg-20-2525-2023
194. Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site) E. Organelli et al. 10.1364/AO.52.002257
195. Estimation of the Potential Detection of Diatom Assemblages Based on Ocean Color Radiance Anomalies in the North Sea A. Rêve-Lamarche et al. 10.3389/fmars.2017.00408
196. Underway spectrophotometry in the Fram Strait (European Arctic Ocean): a highly resolved chlorophyll a data source for complementing satellite ocean color Y. Liu et al. 10.1364/OE.26.00A678
197. A system of metrics for the assessment and improvement of aquatic ecosystem models M. Hipsey et al. 10.1016/j.envsoft.2020.104697
198. Biogeographical patterns of phytoplankton community size structure in the oceans E. Acevedo‐Trejos et al. 10.1111/geb.12071
199. Decadal Vision in Oceanography (III) K. Hamasaki et al. 10.5928/kaiyou.22.6_253
200. Phytoplankton Pigment Communities Can be Modeled Using Unique Relationships With Spectral Absorption Signatures in a Dynamic Coastal Environment D. Catlett & D. Siegel 10.1002/2017JC013195
201. Spatial and temporal variations of satellite-derived phytoplankton size classes using a three-component model bridged with temperature in Marginal Seas of the Western Pacific Ocean H. Liu et al. 10.1016/j.pocean.2021.102511
202. Chlorophyll-a and Sea Surface Temperature Changes in Relation to Paralytic Shellfish Toxin Production off the East Coast of Tasmania, Australia L. Wakamatsu et al. 10.3390/rs14030665
203. Pigment composition analysis of selected green microalgae through multivariate analysis and their potential as high value nutraceuticals R. Vishwakarma et al. 10.1007/s42535-022-00562-5
204. Declines in phytoplankton cell size in the subtropical oceans estimated from satellite remotely-sensed temperature and chlorophyll, 1998–2007 J. Polovina & P. Woodworth 10.1016/j.dsr2.2012.04.006
205. High Resolution Water Column Phytoplankton Composition Across the Atlantic Ocean From Ship-Towed Vertical Undulating Radiometry A. Bracher et al. 10.3389/fmars.2020.00235
206. Trends in phytoplankton communities within large marine ecosystems diverge from the global ocean K. Friedland et al. 10.1139/cjfas-2020-0423
207. Maximal feeding with active prey-switching: A kill-the-winner functional response and its effect on global diversity and biogeography S. Vallina et al. 10.1016/j.pocean.2013.08.001
208. Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020) Y. Zhang et al. 10.1016/j.rse.2023.113596
209. Efficient dissolved organic carbon production and export in the oligotrophic ocean S. Roshan & T. DeVries 10.1038/s41467-017-02227-3
210. Coexistence of Dominant Marine Phytoplankton Sustained by Nutrient Specialization T. Masuda et al. 10.1128/spectrum.04000-22
211. Satellite Observations of Phytoplankton Functional Type Spatial Distributions, Phenology, Diversity, and Ecotones T. Moisan et al. 10.3389/fmars.2017.00189
212. Plankton energy flows using a global size-structured and trait-based model G. Negrete-García et al. 10.1016/j.pocean.2022.102898
213. 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 S. Takao et al. 10.5194/bg-9-3875-2012
214. Mare Incognitum: A Glimpse into Future Plankton Diversity and Ecology Research G. Chust et al. 10.3389/fmars.2017.00068
215. Spatio-temporal variation of Prochlorococcus and phytoplankton community between Shimizu coast and Suruga bay, Northwest Pacific Ocean R. Mishra et al. 10.1016/j.rsma.2019.100890
216. Phytoplankton pigments in the Baltic Sea – mathematical description of chlorophylls and carotenoids content in different seasons and regions J. Stoń-Egiert et al. 10.1016/j.oceano.2024.03.003
217. PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies O. Aumont et al. 10.5194/gmd-8-2465-2015
218. N2 Fixation and New Insights Into Nitrification From the Ice-Edge to the Equator in the South Pacific Ocean E. Raes et al. 10.3389/fmars.2020.00389
219. Characterization of Seasonal Phytoplankton Pigments and Functional Types around Offshore Island in the East/Japan Sea, Based on HPLC Pigment Analysis M. Lee et al. 10.3390/su14095306
220. Bio-optical provinces in the eastern Atlantic Ocean and their biogeographical relevance B. Taylor et al. 10.5194/bg-8-3609-2011
221. Twenty‐Year Variations in Satellite‐Derived Chlorophyll‐a and Phytoplankton Size in the Bohai Sea and Yellow Sea X. Sun et al. 10.1029/2019JC015552
222. Chlorination in power station cooling water systems: Effect on biomass, abundance and physiology of natural phytoplankton communities M. Vannoni et al. 10.1016/j.aquatox.2021.105954
223. Factors influencing particulate lipid production in the East Atlantic Ocean B. Gašparović et al. 10.1016/j.dsr.2014.04.005
224. Pigment signatures of phytoplankton communities in the Beaufort Sea P. Coupel et al. 10.5194/bg-12-991-2015
225. Community review of Southern Ocean satellite data needs A. Pope et al. 10.1017/S0954102016000390
226. Phytoplankton light absorption and the package effect in relation to photosynthetic and photoprotective pigments in the northern tip of Antarctic Peninsula A. Ferreira et al. 10.1002/2017JC012964
227. Inferring the seasonal evolution of phytoplankton groups in the Senegalo‐Mauritanian upwelling region from satellite ocean‐color spectral measurements O. Farikou et al. 10.1002/2015JC010738
228. Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific Y. Hoshiba et al. 10.5194/os-14-371-2018
229. Estimation of Secondary Phytoplankton Pigments From Satellite Observations Using Self‐Organizing Maps (SOMs) R. El Hourany et al. 10.1029/2018JC014450
230. Differences in Rate and Direction of Shifts between Phytoplankton Size Structure and Sea Surface Temperature H. Waga et al. 10.3390/rs9030222
231. A study of the seasonal and interannual variability of phytoplankton and zooplankton assemblages in a significant marine ecosystem J. Kämpf et al. 10.1016/j.oceano.2022.12.003
232. Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean H. Kaneko et al. 10.1016/j.isci.2020.102002
233. Mapping of sea surface nutrients in the North Pacific: Basin-wide distribution and seasonal to interannual variability S. Yasunaka et al. 10.1002/2014JC010318
234. The summer pattern of phytoplankton pigment assemblages in response to water masses in the Yellow Sea T. Lü et al. 10.1007/s00343-025-4220-3
235. The export and fate of organic matter in the ocean: New constraints from combining satellite and oceanographic tracer observations T. DeVries & T. Weber 10.1002/2016GB005551
236. Remotely sensing phytoplankton size structure in the Red Sea J. Gittings et al. 10.1016/j.rse.2019.111387
237. Impact of Growth Phase, Pigment Adaptation, and Climate Change Conditions on the Cellular Pigment and Carbon Content of Fifty‐One Phytoplankton Isolates A. Neeley et al. 10.1111/jpy.13279
238. A new method to estimate the dissolved organic carbon concentration from remote sensing in the global open ocean A. Bonelli et al. 10.1016/j.rse.2022.113227
239. Characterization of suspended matter size and composition in the St. Lawrence Estuary (eastern Canada) A. Fabris et al. 10.1016/j.rsma.2021.101838
240. Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model X. Li et al. 10.1016/j.rse.2023.113628
241. Particle backscattering as a function of chlorophyll and phytoplankton size structure in the open-ocean R. Brewin et al. 10.1364/OE.20.017632
242. Dynamic Satellite Seascapes as a Biogeographic Framework for Understanding Phytoplankton Assemblages in the Florida Keys National Marine Sanctuary, United States E. Montes et al. 10.3389/fmars.2020.00575
243. Long-time-scale investigation of phytoplankton communities based on their size in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2020.1714785
244. Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China Y. Wang et al. 10.1109/TGRS.2024.3383391
245. Biogeographical trends in phytoplankton community size structure using adaptive sentinel 3-OLCI chlorophyll a and spectral empirical orthogonal functions in the estuarine-shelf waters of the northern Gulf of Mexico B. Liu et al. 10.1016/j.rse.2020.112154
246. Physical structure and phytoplankton community off the eastern Hainan coast during summer 2015 S. Liu et al. 10.1007/s13131-020-1668-z
247. Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier K. Yala et al. 10.5194/os-16-513-2020
248. Hydrographic fronts shape productivity, nitrogen fixation, and microbial community composition in the southern Indian Ocean and the Southern Ocean C. Hörstmann et al. 10.5194/bg-18-3733-2021
249. A functional size-spectrum model of the global marine ecosystem that resolves zooplankton composition R. Heneghan et al. 10.1016/j.ecolmodel.2020.109265
250. Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products H. Xi et al. 10.1029/2020JC017127
251. Optimization and assessment of phytoplankton size class algorithms for ocean color data on the Northeast U.S. continental shelf K. Turner et al. 10.1016/j.rse.2021.112729
252. High-resolution analysis of a North Sea phytoplankton community structure based on in situ flow cytometry observations and potential implication for remote sensing M. Thyssen et al. 10.5194/bg-12-4051-2015
253. Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea C. Shu et al. 10.3390/rs14051297
254. The assimilation of satellite‐derived data into a one‐dimensional lower trophic level marine ecosystem model Y. Xiao & M. Friedrichs 10.1002/2013JC009433
255. Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6 J. O'Reilly & P. Werdell 10.1016/j.rse.2019.04.021
256. Phytoplankton assemblages and optical properties in a coastal region of the South Brazil Bight A. Oliveira et al. 10.1016/j.csr.2021.104509
257. Comparison of two methods to derive the size-structure of natural populations of phytoplankton R. Brewin et al. 10.1016/j.dsr.2013.11.007
258. Controls on the Cadmium‐Phosphate Relationship in the Tropical South Pacific S. Roshan et al. 10.1002/2016GB005556
259. Phytoplankton competition during the spring bloom in four plankton functional type models T. Hashioka et al. 10.5194/bg-10-6833-2013
260. Overview of Operational Global and Regional Ocean Colour Essential Ocean Variables Within the Copernicus Marine Service V. Brando et al. 10.3390/rs16234588
261. Improved prediction of dimethyl sulfide (DMS) distributions in the northeast subarctic Pacific using machine-learning algorithms B. McNabb & P. Tortell 10.5194/bg-19-1705-2022
262. Comparison of methods for indirectly estimating the phytoplankton population size structure and their preliminary modifications adapted to the specific conditions of the Baltic Sea J. Meler et al. 10.1016/j.jmarsys.2020.103446
263. The effect of phytoplankton pigment composition and packaging on the retrieval of chlorophyll-a concentration from satellite observations in the Southern Ocean B. Jena 10.1080/01431161.2017.1308034
264. Predicting global distributions of eukaryotic plankton communities from satellite data H. Kaneko et al. 10.1038/s43705-023-00308-7