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53. 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
54. Phenology of Size-Partitioned Phytoplankton Carbon-Biomass from Ocean Color Remote Sensing and CMIP5 Models A. Cabré et al. 10.3389/fmars.2016.00039
55. 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
56. Small Phytoplankton Shapes Colored Dissolved Organic Matter Dynamics in the North Atlantic Subtropical Gyre E. Organelli & H. Claustre 10.1029/2019GL084699
57. Ultraphytoplankton community structure in subsurface waters along a North-South Mediterranean transect I. Boudriga et al. 10.1016/j.marpolbul.2022.113977
58. 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
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60. 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
61. Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
62. 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
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65. Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
66. Carbon: Chlorophyll Ratios and Net Primary Productivity of Subarctic Pacific Surface Waters Derived From Autonomous Shipboard Sensors W. Burt et al. 10.1002/2017GB005783
67. Temperature-Correlated Changes in Phytoplankton Community Structure Are Restricted to Polar Waters B. Ward & H. Dam 10.1371/journal.pone.0135581
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73. The Indian Ocean Dipole Modulates the Phytoplankton Size Structure in the Southern Tropical Indian Ocean X. Liao et al. 10.3390/rs16111970
74. 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
75. Biomass Pyramids of Marine Mesozooplankton Communities as Inferred From Their Integrated Trophic Positions N. Ishikawa et al. 10.1007/s10021-022-00753-w
76. Linking phytoplankton absorption to community composition in Chinese marginal seas D. Sun et al. 10.1016/j.pocean.2021.102517
77. Statistical approach for the retrieval of phytoplankton community structures from in situ fluorescence measurements S. Wang et al. 10.1364/OE.24.023635
78. Phytoplankton biomass and community composition in the frontal zones of Southern Ocean R. Mishra et al. 10.1016/j.dsr2.2020.104799
79. Retrieval of Phytoplankton Pigment Composition from Their In Vivo Absorption Spectra Y. Zhang et al. 10.3390/rs13245112
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81. 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
82. 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
83. Temporal Variability in Net Primary Production in an Upwelling Area off Central Chile (36°S) G. Testa et al. 10.3389/fmars.2018.00179
84. Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning A. Puissant et al. 10.3390/rs13081445
85. Intraseasonal predictability of natural phytoplankton population dynamics V. Agarwal et al. 10.1002/ece3.8234
86. 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
87. Functional Stability of a Coastal Mediterranean Plankton Community During an Experimental Marine Heatwave T. Soulié et al. 10.3389/fmars.2022.831496
88. 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
89. 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
90. Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self‐Organizing Maps R. El Hourany et al. 10.1029/2019JC015131
91. Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups R. Brewin et al. 10.3389/fmars.2017.00104
92. Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. 10.1029/2018JC014329
93. Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon A. Chase et al. 10.1029/2022GL098076
94. Simulating the ocean’s chlorophyll dynamic range from coastal upwelling to oligotrophy N. Van Oostende et al. 10.1016/j.pocean.2018.10.009
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96. 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
97. Summer phytoplankton photosynthetic characteristics in the Changjiang River Estuary and the adjacent East China Sea J. Li et al. 10.3389/fmars.2023.1111557
98. 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
99. 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
100. 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
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105. 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
106. 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
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109. 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
110. Characterization of the synoptic‐scale diversity, biogeography, and size distribution of diatoms in the North Pacific K. Sugie & K. Suzuki 10.1002/lno.10473
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126. Modelling buoyancy-driven vertical movement of Trichodesmium application in the Great Barrier Reef C. Ani et al. 10.1016/j.ecolmodel.2023.110567
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129. 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
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136. Sensitivity of Inherent Optical Properties From Ocean Reflectance Inversion Models to Satellite Instrument Wavelength Suites P. Werdell & L. McKinna 10.3389/feart.2019.00054
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138. 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
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