224 citations as recorded by crossref.

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31. Assimilative 2-D Lagrangian Transport Model for the Estimation of Oil Leakage Parameters From SAR Images: Application to the Montara Oil Spill B. Gautama et al. https://doi.org/10.1109/JSTARS.2016.2606110
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33. Estimating Forecast Error Covariances for Strongly Coupled Atmosphere–Ocean 4D-Var Data Assimilation P. Smith et al. https://doi.org/10.1175/MWR-D-16-0284.1
34. Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design A. Mignot et al. https://doi.org/10.5194/bg-20-1405-2023
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40. Hindcasting the 2017 dispersal of Sargassum algae in the Tropical North Atlantic L. Berline et al. https://doi.org/10.1016/j.marpolbul.2020.111431
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42. Improvements in the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv2) X. Zhu et al. https://doi.org/10.5194/gmd-15-995-2022
43. Background error covariances for a future coupled ocean–atmosphere data assimilation system: Case of tropical cyclone Batsirai A. Purcell et al. https://doi.org/10.1002/qj.70118
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46. The dynamical role of upper layer salinity in the Mediterranean Sea A. Aydogdu et al. https://doi.org/10.5194/sp-1-osr7-6-2023
47. Ocean Surface Currents Reconstruction: Spectral Characterization of the Transfer Function Between SST and SSH C. González‐Haro et al. https://doi.org/10.1029/2019JC015958
48. Evaluating the contribution of satellite measurements to the reconstruction of three-dimensional ocean temperature fields in combination with Argo profiles J. Chen et al. https://doi.org/10.1007/s13131-021-1858-3
49. Validation and assessment of Potential Fishing Zone (PFZ) dynamics along the southwest coast of India through environmental proxies and trophic guild analysis D. Lal et al. https://doi.org/10.1016/j.eiar.2025.107953
50. Impact of assimilation of absolute dynamic topography on Arctic Ocean circulation G. Smith et al. https://doi.org/10.3389/fmars.2024.1390781
51. Impact of storms on residence times and export of coastal waters during a mild autumn/winter period in the Gulf of Lion G. Mikolajczak et al. https://doi.org/10.1016/j.csr.2020.104192
52. Rapid intensification of the Super Cyclone Amphan: Environmental drivers and its future projections R. Akhila et al. https://doi.org/10.1016/j.tcrr.2025.02.005
53. Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean A. Moore et al. https://doi.org/10.3389/fmars.2019.00090
54. Recent Advances in Japanese Fisheries Science in the Kuroshio-Oyashio Region through Development of the FRA-ROMS Ocean Forecast System: Overview of the Reproducibility of Reanalysis Products H. Kuroda et al. https://doi.org/10.4236/ojms.2017.71006
55. Influence of oceanic conditions in the energy transfer efficiency estimation of a micronekton model A. Delpech et al. https://doi.org/10.5194/bg-17-833-2020
56. Variability of plankton production during the spring bloom in NW Iberia L. García-García & M. Ruiz-Villarreal https://doi.org/10.3354/meps14236
57. A PV-approach for dense water formation along fronts: Application to the Northwestern Mediterranean H. Giordani et al. https://doi.org/10.1002/2016JC012019
58. Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) S. Skachko et al. https://doi.org/10.5194/gmd-12-5097-2019
59. From basin to sub-basin scale assessment and intercomparison of numerical simulations in the Western Mediterranean Sea M. Juza et al. https://doi.org/10.1016/j.jmarsys.2015.04.010
60. Combining Argo and Satellite Data Using Model-Derived Covariances: Blue Maps P. Oke et al. https://doi.org/10.3389/feart.2021.696985
61. Numerical Models, Observing Systems, and Data Assimilation for Prediction of Ocean Mesoscale Eddies Z. Li et al. https://doi.org/10.34133/olar.0059
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63. A new subsurface precursor across the spring predictability barrier for the ENSO prediction Z. Zhang et al. https://doi.org/10.1016/j.dsr.2023.104213
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65. The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product D. Iovino et al. https://doi.org/10.3389/feart.2022.745274
66. Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea L. Vandenbulcke et al. https://doi.org/10.1007/s10236-016-1012-5
67. Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill G. Smith et al. https://doi.org/10.1175/MWR-D-17-0157.1
68. Global in situ Observations of Essential Climate and Ocean Variables at the Air–Sea Interface L. Centurioni et al. https://doi.org/10.3389/fmars.2019.00419
69. Copernicus Ocean State Report, issue 6 https://doi.org/10.1080/1755876X.2022.2095169
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73. South Atlantic overturning and heat transport variations in ocean reanalyses and observation-based estimates J. Baker et al. https://doi.org/10.5194/sp-1-osr7-4-2023
74. Impacts of a 4-dimensional variational data assimilation in a coastal ocean model of southern Tyrrhenian Sea I. Iermano et al. https://doi.org/10.1016/j.jmarsys.2015.09.006
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78. River Freshwater Contribution in Operational Ocean Models along the European Atlantic Façade: Impact of a New River Discharge Forcing Data on the CMEMS IBI Regional Model Solution M. Sotillo et al. https://doi.org/10.3390/jmse9040401
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83. Forecast skill score assessment of a relocatable ocean prediction system, using a simplified objective analysis method R. Onken https://doi.org/10.5194/os-13-925-2017
84. Improving Operational Ocean Models for the Spanish Port Authorities: Assessment of the SAMOA Coastal Forecasting Service Upgrades M. García-León et al. https://doi.org/10.3390/jmse10020149
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88. CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean archipelago S. Cailleau et al. https://doi.org/10.5194/gmd-17-3157-2024
89. Water fluxes and renewal rates at Pertuis d'Antioche/Marennes-Oléron Bay, France I. Ascione Kenov et al. https://doi.org/10.1016/j.ecss.2015.05.031
90. The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis G. Smith et al. https://doi.org/10.5194/gmd-14-1445-2021
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110. Neither larval duration nor dispersal distance predict spatial genetic diversity in planktonic dispersing species E. Esser et al. https://doi.org/10.3354/meps14419
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114. Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts E. Blockley et al. https://doi.org/10.5194/gmd-7-2613-2014
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117. Assimilation of radar freeboard and snow altimetry observations in the Arctic and Antarctic with a coupled ocean/sea ice modelling system A. Chenal et al. https://doi.org/10.5194/tc-20-369-2026
118. An assessment of air–sea heat fluxes from ocean and coupled reanalyses M. Valdivieso et al. https://doi.org/10.1007/s00382-015-2843-3
119. Assimilation of synthetic and real SWOT observations for the North Atlantic Ocean and Canadian east coast using the regional ice ocean prediction system G. Liu et al. https://doi.org/10.3389/fmars.2024.1456205
120. Strategies for simulating the drift of marine debris J. Durgadoo et al. https://doi.org/10.1080/1755876X.2019.1602102
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123. Modelling deep-water formation in the north-west Mediterranean Sea with a new air–sea coupled model: sensitivity to turbulent flux parameterizations L. Seyfried et al. https://doi.org/10.5194/os-13-1093-2017
124. The wave-age-dependent stress parameterisation (WASP) for momentum and heat turbulent fluxes at sea in SURFEX v8.1 M. Bouin et al. https://doi.org/10.5194/gmd-17-117-2024
125. Sea Surface Salinity Variability in the Tropical Indian Ocean from Reanalysis Datasets S. Sahoo et al. https://doi.org/10.1007/s12601-025-00263-5
126. Recent progress in performance evaluations and near real-time assessment of operational ocean products F. Hernandez et al. https://doi.org/10.1080/1755876X.2015.1050282
127. Particle size distribution and estimated carbon flux across the Arabian Sea oxygen minimum zone F. Roullier et al. https://doi.org/10.5194/bg-11-4541-2014
128. Contribution of future wide-swath altimetry missions to ocean analysis and forecasting A. Bonaduce et al. https://doi.org/10.5194/os-14-1405-2018
129. Spatial and Seasonal Variations of the Island Mass Effect at the Sub-Antarctic Prince Edward Islands Archipelago T. Lamont & T. Toolsee https://doi.org/10.3390/rs14092140
130. Genetic and oceanographic tools reveal high population connectivity and diversity in the endangered pen shell Pinna nobilis M. Wesselmann et al. https://doi.org/10.1038/s41598-018-23004-2
131. Assessing the drift of fish aggregating devices in the tropical Pacific Ocean P. Frankemölle et al. https://doi.org/10.5194/os-20-31-2024
132. Towards a Multi‐Platform Assimilative System for North Sea Biogeochemistry J. Skákala et al. https://doi.org/10.1029/2020JC016649
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136. How essential are Argo observations to constrain a global ocean data assimilation system? V. Turpin et al. https://doi.org/10.5194/os-12-257-2016
137. Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing V. Vervatis et al. https://doi.org/10.1016/j.ocemod.2016.01.003
138. Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. https://doi.org/10.1007/s40641-020-00162-y
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145. Northern boundary current variability and mesoscale dynamics: a long-term HF RADAR monitoring in the North-Western Mediterranean Sea N. Bourg & A. Molcard https://doi.org/10.1007/s10236-021-01466-9
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149. Modelling the impact of flow-driven turbine power plants on great wind-driven ocean currents and the assessment of their energy potential B. Barnier et al. https://doi.org/10.1038/s41560-020-0580-2
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