145 citations as recorded by crossref.

1. Long-range prediction of the tropical cyclone frequency landfalling in China using thermocline temperature anomalies at different longitudes C. Liu et al. https://doi.org/10.3389/feart.2023.1329702
2. Freshwater in the Arctic Ocean 2010–2019 A. Solomon et al. https://doi.org/10.5194/os-17-1081-2021
3. Comparison of SST Diurnal Variation Models Over the Tropical Warm Pool Region H. Zhang et al. https://doi.org/10.1029/2017JC013517
4. Regionalizing the sea-level budget with machine learning techniques C. Camargo et al. https://doi.org/10.5194/os-19-17-2023
5. Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets S. Good et al. https://doi.org/10.3389/fmars.2022.1075510
6. Pending recovery in the strength of the meridional overturning circulation at 26° N B. Moat et al. https://doi.org/10.5194/os-16-863-2020
7. Evaluation and comparison of the subseasonal prediction skill of Indian summer monsoon in IITM CFSv2 and UKMO GloSea5 S. Joseph et al. https://doi.org/10.1007/s00382-022-06650-1
8. Suitability of satellite sea surface salinity data for use in assessing and correcting ocean forecasts M. Martin https://doi.org/10.1016/j.rse.2016.02.004
9. Diagnostic evaluation of river discharge into the Arctic Ocean and its impact on oceanic volume transports S. Winkelbauer et al. https://doi.org/10.5194/hess-26-279-2022
10. Fidelity of coupled hindcast simulations in representing intraseasonal biases over South Asia D. Rao et al. https://doi.org/10.1007/s00382-025-07686-9
11. An operational analysis system for the global diurnal cycle of sea surface temperature: implementation and validation J. While et al. https://doi.org/10.1002/qj.3036
12. The Mean State and Variability of the North Atlantic Circulation: A Perspective From Ocean Reanalyses L. Jackson et al. https://doi.org/10.1029/2019JC015210
13. Estimating daily subsurface thermohaline structure from satellite data: A deep network with embedded empirical orthogonal functions H. Yan et al. https://doi.org/10.1016/j.dsr.2024.104257
14. A real-time ocean reanalyses intercomparison project in the context of tropical pacific observing system and ENSO monitoring Y. Xue et al. https://doi.org/10.1007/s00382-017-3535-y
15. Assessment of the global ocean heat content and North Atlantic heat transport over 1993–2020 C. Liu et al. https://doi.org/10.1038/s41612-024-00860-6
16. Assessing the role and consistency of satellite observation products in global physical–biogeochemical ocean reanalysis D. Ford https://doi.org/10.5194/os-16-875-2020
17. Assimilation of diurnal satellite retrieval of sea surface temperature with convolutional neural network M. Broccoli & A. Cipollone https://doi.org/10.1088/3049-4753/adfb7e
18. Reliable reanalyses for assessing circulation in the northern part of the Sea of Okhotsk P. Fayman et al. https://doi.org/10.1016/j.jmarsys.2026.104216
19. A New Operational Seasonal Thermal Stress Prediction Tool for Coral Reefs Around Australia C. Spillman & G. Smith https://doi.org/10.3389/fmars.2021.687833
20. The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product A. Storto et al. https://doi.org/10.1007/s00382-018-4585-5
21. A Statistical Interpolation Code for Ocean Analysis and Forecasting A. Srinivasan et al. https://doi.org/10.1175/JTECH-D-21-0033.1
22. Development of the Operational Oceanography Forecasting System in the Northwest Pacific Z. Wang et al. https://doi.org/10.1088/1742-6596/2486/1/012032
23. Verification and intercomparison of global ocean Eulerian near-surface currents S. Aijaz et al. https://doi.org/10.1016/j.ocemod.2023.102241
24. A multiple length scale correlation operator for ocean data assimilation I. Mirouze et al. https://doi.org/10.3402/tellusa.v68.29744
25. DEVELOPMENT OF A REAL-TIME WATER QUALITY PREDICTION SYSTEM IN OSAKA BAY M. IRIE et al. https://doi.org/10.2208/kaigan.72.I_1261
26. Forecasting marine debris spill accumulation patterns in the south-eastern Australia water: an intercomparison between global ocean forecast models F. Liao et al. https://doi.org/10.1007/s10236-023-01539-x
27. Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson https://doi.org/10.5194/tc-12-3419-2018
28. The TSformer: A Non-Autoregressive Spatio-Temporal Transformers for 30-Day Ocean Eddy-Resolving Forecasting G. Wang et al. https://doi.org/10.3390/jmse13050966
29. Density-compensated overturning in the Labrador Sea S. Zou et al. https://doi.org/10.1038/s41561-019-0517-1
30. A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts D. Ford et al. https://doi.org/10.3389/fmars.2022.1067174
31. Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes D. Mignac et al. https://doi.org/10.5194/gmd-18-3405-2025
32. Signal‐to‐noise and predictable modes of variability in winter seasonal forecasts D. Hodson et al. https://doi.org/10.1002/qj.4522
33. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. https://doi.org/10.1080/1755876X.2015.1022350
34. Advancing Marine Biogeochemical and Ecosystem Reanalyses and Forecasts as Tools for Monitoring and Managing Ecosystem Health K. Fennel et al. https://doi.org/10.3389/fmars.2019.00089
35. Assessment of the Diurnal Cycle of Sea Surface Temperature from Model Analysis Against Ship-Based Ocean Observations I. Momin et al. https://doi.org/10.1007/s12524-025-02368-9
36. Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela https://doi.org/10.1016/j.rse.2017.03.040
37. Global ocean reanalysis CORA2 and its inter comparison with a set of other reanalysis products H. Fu et al. https://doi.org/10.3389/fmars.2023.1084186
38. Status and future of data assimilation in operational oceanography M. Martin et al. https://doi.org/10.1080/1755876X.2015.1022055
39. Assimilating satellite sea‐surface salinity data from SMOS, Aquarius and SMAP into a global ocean forecasting system M. Martin et al. https://doi.org/10.1002/qj.3461
40. Impact of stratospheric ozone on the subseasonal prediction in the southern hemisphere spring J. Oh et al. https://doi.org/10.1186/s40645-022-00485-4
41. Understanding the development of systematic errors in the Asian summer monsoon G. Martin et al. https://doi.org/10.5194/gmd-14-1007-2021
42. The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale J. Castillo et al. https://doi.org/10.5194/gmd-15-4193-2022
43. The impact of hybrid oceanic data assimilation in a coupled model: A case study of a tropical cyclone T. Leung et al. https://doi.org/10.1002/qj.4309
44. Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. https://doi.org/10.1007/s00382-015-2673-3
45. Improved ocean analysis for the Indian Ocean H. Rahaman et al. https://doi.org/10.1080/1755876X.2018.1547261
46. Ocean heat content variability and change in an ensemble of ocean reanalyses M. Palmer et al. https://doi.org/10.1007/s00382-015-2801-0
47. Uncertainty quantification and global sensitivity analysis of the Los Alamos sea ice model J. Urrego‐Blanco et al. https://doi.org/10.1002/2015JC011558
48. A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems H. Hewitt et al. https://doi.org/10.1098/rsta.2014.0161
49. Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. https://doi.org/10.5194/bg-14-1419-2017
50. Evaluation of the Tropical Pacific Observing System from the ocean data assimilation perspective Y. Fujii et al. https://doi.org/10.1002/qj.2579
51. Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1 Y. Batrak et al. https://doi.org/10.5194/gmd-11-3347-2018
52. Surface currents in operational oceanography: Key applications, mechanisms, and methods J. Röhrs et al. https://doi.org/10.1080/1755876X.2021.1903221
53. KunPeng: A Global Ocean Environmental Model Y. Zhao et al. https://doi.org/10.1109/TGRS.2026.3708338
54. Irminger Sea Is the Center of Action for Subpolar AMOC Variability L. Chafik et al. https://doi.org/10.1029/2022GL099133
55. Assimilating realistically simulated wide-swath altimeter observations in a high-resolution shelf-seas forecasting system R. King & M. Martin https://doi.org/10.5194/os-17-1791-2021
56. Rapid Communication of Upper‐Ocean Salinity Anomaly to Deep Waters of the Iceland Basin Indicates an AMOC Short‐Cut L. Chafik & N. Holliday https://doi.org/10.1029/2021GL097570
57. Contribution of tropical cyclones to abnormal sea surface temperature warming in the Yellow Sea in December 2004 T. Kim et al. https://doi.org/10.1016/j.dynatmoce.2017.10.002
58. Evaluation and statistical downscaling of East Asian summer monsoon forecasting in BCC and MOHC seasonal prediction systems Y. Liu et al. https://doi.org/10.1002/qj.3405
59. Variational bias correction of satellite sea‐surface temperature data incorporating observations of the bias J. While & M. Martin https://doi.org/10.1002/qj.3590
60. Southern Ocean Ice Prediction System version 1.0 (SOIPS v1.0): description of the system and evaluation of synoptic-scale sea ice forecasts F. Zhao et al. https://doi.org/10.5194/gmd-17-6867-2024
61. A model for assessing iceberg hazard G. Bigg et al. https://doi.org/10.1007/s11069-018-3243-x
62. NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China Y. Yan et al. https://doi.org/10.5194/gmd-15-1269-2022
63. The representation of rivers in operational ocean forecasting systems: a review P. Matte et al. https://doi.org/10.5194/sp-5-opsr-19-2025
64. Regional sea level trend budget over 2004–2022 M. Bouih et al. https://doi.org/10.5194/os-21-1425-2025
65. New high-resolution sea surface temperature forecasts for coral reef management on the Great Barrier Reef G. Smith & C. Spillman https://doi.org/10.1007/s00338-019-01829-1
66. Predicting June Mean Rainfall in the Middle/Lower Yangtze River Basin G. Martin et al. https://doi.org/10.1007/s00376-019-9051-8
67. Assessing Extreme Environmental Loads on Offshore Structures in the North Sea from High-Resolution Ocean Currents, Waves and Wind Forecasting N. Skliris et al. https://doi.org/10.3390/jmse9101052
68. State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems S. Vetra-Carvalho et al. https://doi.org/10.1080/16000870.2018.1445364
69. 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
70. Estimating the numerical diapycnal mixing in an eddy-permitting ocean model A. Megann https://doi.org/10.1016/j.ocemod.2017.11.001
71. Evaluation of numerical models by FerryBox and fixed platform in situ data in the southern North Sea M. Haller et al. https://doi.org/10.5194/os-11-879-2015
72. Improved High Resolution Ocean Reanalyses Using a Simple Smoother Algorithm B. Dong et al. https://doi.org/10.1029/2021MS002626
73. UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions D. Storkey et al. https://doi.org/10.5194/gmd-11-3187-2018
74. Subseasonal prediction of the 2020 Great Barrier Reef and Coral Sea marine heatwave J. Benthuysen et al. https://doi.org/10.1088/1748-9326/ac3aa1
75. Global Ocean Data Assimilation and Prediction System2–ReAnalysis (GODAPS2-RA) Project : Preliminary Results S. Hwang et al. https://doi.org/10.1007/s13143-025-00416-5
76. Constraining energetic slope currents through assimilation of high-frequency radar observations A. Sperrevik et al. https://doi.org/10.5194/os-11-237-2015
77. Using regional relaxation experiments to understand the development of errors in the Asian summer monsoon G. Martin & J. Rodríguez https://doi.org/10.5194/wcd-5-711-2024
78. Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project M. Chevallier et al. https://doi.org/10.1007/s00382-016-2985-y
79. Prospects for seasonal forecasting of iceberg distributions in the North Atlantic R. Marsh et al. https://doi.org/10.1007/s11069-017-3136-4
80. Evaluation of global ocean analysis and forecast system in the Tropical Indian Ocean I. Momin et al. https://doi.org/10.1007/s12040-023-02118-w
81. Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. https://doi.org/10.5194/tc-17-3721-2023
82. Practical Dynamical-Statistical Reconstruction of Ocean’s Interior from Satellite Observations H. Yan et al. https://doi.org/10.3390/rs13245085
83. Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model D. Lea et al. https://doi.org/10.1175/MWR-D-15-0174.1
84. Inter-decadal climate variability induces differential ice response along Pacific-facing West Antarctica F. Christie et al. https://doi.org/10.1038/s41467-022-35471-3
85. Skillful Seasonal Forecasts of Winter Disruption to the U.K. Transport System E. Palin et al. https://doi.org/10.1175/JAMC-D-15-0102.1
86. Impact of Altika Sea Level Anomaly Data on a Variational Assimilation System M. Imranali et al. https://doi.org/10.2112/SI89-008.1
87. On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses L. Ponsoni et al. https://doi.org/10.5194/tc-13-521-2019
88. The Eastern Atlantic Basin Pathway for the Export of the North Atlantic Deep Waters Y. Zhai et al. https://doi.org/10.1029/2021GL095615
89. Enhanced Turbulent Diapycnal Mixing in the Northern Sargasso Sea Inferred From a Finescale Parameterization Z. Li et al. https://doi.org/10.1029/2023JC020220
90. Recent slowing of Atlantic overturning circulation as a recovery from earlier strengthening L. Jackson et al. https://doi.org/10.1038/ngeo2715
91. Exploring Sources of Uncertainty in Steric Sea‐Level Change Estimates C. Camargo et al. https://doi.org/10.1029/2020JC016551
92. The effect of diurnal warming of sea‐surface temperatures on the propagation speed of the Madden–Julian oscillation E. Karlowska et al. https://doi.org/10.1002/qj.4599
93. ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system R. Wedd et al. https://doi.org/10.1071/ES22026
94. ENSO Modulates Mean Currents and Mesoscale Eddies in the Caribbean Sea M. Huang et al. https://doi.org/10.1029/2023GL103958
95. A dynamically based method for estimating the Atlantic meridional overturning circulation at 26° N from satellite altimetry A. Sanchez-Franks et al. https://doi.org/10.5194/os-17-1321-2021
96. Significance of upper ocean stratification on intensity of cyclone Biparjoy during its extremely long lifetime L. Pandey et al. https://doi.org/10.1007/s00382-025-07934-y
97. Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model K. Wang et al. https://doi.org/10.5194/tc-17-4487-2023
98. Evaluation of ACCESS-S1 seasonal forecasts of growing season precipitation for Western Australia’s wheatbelt region R. Firth et al. https://doi.org/10.1071/ES22031
99. An assessment of ten ocean reanalyses in the polar regions P. Uotila et al. https://doi.org/10.1007/s00382-018-4242-z
100. Observed mechanisms activating the recent subpolar North Atlantic Warming since 2016 L. Chafik et al. https://doi.org/10.1098/rsta.2022.0183
101. Ocean impact on the intensification of cyclone Titli K. Maneesha et al. https://doi.org/10.1007/s12040-021-01660-9
102. Are Ocean Reanalyses Useful for Earth Rotation Research? L. Börger et al. https://doi.org/10.1029/2022EA002700
103. 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
104. Influence of the QBO on the MJO During Coupled Model Multiweek Forecasts S. Abhik & H. Hendon https://doi.org/10.1029/2019GL083152
105. Generating atmospheric forcing perturbations for an ocean data assimilation ensemble I. Mirouze & A. Storto https://doi.org/10.1080/16000870.2019.1624459
106. Investigation of the 2016 Eurasia heat wave as an event of the recent warming E. Seo et al. https://doi.org/10.1088/1748-9326/abbbae
107. Atmospheric wind energization of ocean weather S. Rai et al. https://doi.org/10.1038/s41467-025-56310-1
108. New Circulation Features in the Okhotsk Sea from a Numerical Model P. Fayman et al. https://doi.org/10.1134/S0001433820060043
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110. An assessment of Indian monsoon seasonal forecasts and mechanisms underlying monsoon interannual variability in the Met Office GloSea5-GC2 system S. Johnson et al. https://doi.org/10.1007/s00382-016-3151-2
111. Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. https://doi.org/10.1175/WAF-D-20-0035.1
112. The effect of atmosphere–ocean coupling on the prediction of 2016 western North Pacific tropical cyclones X. Feng et al. https://doi.org/10.1002/qj.3571
113. A high-resolution ocean and sea-ice modelling system for the Arctic and North Atlantic oceans F. Dupont et al. https://doi.org/10.5194/gmd-8-1577-2015
114. An assessment of the LICOM Forecast System under the IVTT class4 framework W. Zheng et al. https://doi.org/10.3389/fmars.2023.1112025
115. Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction S. Penny et al. https://doi.org/10.3389/fmars.2019.00391
116. An assessment of the Brazil Current baroclinic structure and variability near 22° S in Distinct Ocean Forecasting and Analysis Systems M. Lima et al. https://doi.org/10.1007/s10236-016-0959-6
117. 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
118. Multimodel Prediction Skills of the Somali and Maritime Continent Cross-Equatorial Flows C. Li et al. https://doi.org/10.1175/JCLI-D-17-0272.1
119. 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
120. Marine and atmospheric transport modeling supporting nuclear preparedness in Norway: Recent achievements and remaining challenges M. Simonsen et al. https://doi.org/10.1016/j.scitotenv.2024.178161
121. Improving Kuroshio forecasts with an eddy-resolving AI prediction system J. Qian et al. https://doi.org/10.1016/j.ocemod.2025.102657
122. The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system N. Williams et al. https://doi.org/10.5194/tc-17-2509-2023
123. A New Transformer Network for Short-Term Global Sea Surface Temperature Forecasting: Importance of Eddies T. Zhang et al. https://doi.org/10.3390/rs17091507
124. AI performs on high-resolution three-dimensional ocean temperature forecasting: remote sensing data-driven becomes a new possibility J. Jiang et al. https://doi.org/10.1080/17538947.2025.2595786
125. The impact of tidal and mesoscale eddy advection on the long term dispersion of 99Tc from Sellafield M. Simonsen et al. https://doi.org/10.1016/j.jenvrad.2017.06.002
126. Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf? H. Lewis et al. https://doi.org/10.5194/os-15-669-2019
127. Skilful seasonal predictions of Baltic Sea ice cover A. Yu Karpechko et al. https://doi.org/10.1088/1748-9326/10/4/044007
128. Improving the initialisation of the Met Office operational shelf-seas model R. King et al. https://doi.org/10.1016/j.ocemod.2018.07.004
129. Assessing the Potential Impact of Changes to the Argo and Moored Buoy Arrays in an Operational Ocean Analysis System C. Mao et al. https://doi.org/10.3389/fmars.2020.588267
130. A national-scale seasonal hydrological forecast system: development and evaluation over Britain V. Bell et al. https://doi.org/10.5194/hess-21-4681-2017
131. Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system C. Guiavarc'h et al. https://doi.org/10.5194/os-15-1307-2019
132. GODAE OceanView Class 4 forecast verification framework: global ocean inter-comparison A. Ryan et al. https://doi.org/10.1080/1755876X.2015.1022330
133. Comparisons of Net Heat Flux Data Sets Over the Western North Pacific G. Pak et al. https://doi.org/10.1007/s12601-020-0036-4
134. Long range daily ocean forecasts in the Indo-Pacific oceans with ACCESS-S1 X. Zhou & O. Alves https://doi.org/10.1080/16000870.2020.1870328
135. Improvements to feature resolution in the OSTIA sea surface temperature analysis using the NEMOVAR assimilation scheme E. Fiedler et al. https://doi.org/10.1002/qj.3644
136. Indian summer monsoon onset forecast skill in the UK Met Office initialized coupled seasonal forecasting system (GloSea5-GC2) A. Chevuturi et al. https://doi.org/10.1007/s00382-018-4536-1
137. Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford https://doi.org/10.5194/bg-18-509-2021
138. The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations K. Williams et al. https://doi.org/10.1002/2017MS001115
139. From points to waves: Fast ocean wave spatial–temporal fields estimation using ensemble transform Kalman filter with optical measurement F. Wang et al. https://doi.org/10.1016/j.coastaleng.2024.104690
140. Development of the Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled model J. Rae et al. https://doi.org/10.5194/gmd-8-2221-2015
141. PIRATA: A Sustained Observing System for Tropical Atlantic Climate Research and Forecasting B. Bourlès et al. https://doi.org/10.1029/2018EA000428
142. A New Approach to Skillful Seasonal Prediction of Southeast Asia Tropical Cyclone Occurrence X. Feng et al. https://doi.org/10.1029/2022JD036439
143. Impact of assimilating temperature and salinity measurements by animal‐borne sensors on FOAM ocean model fields F. Carse et al. https://doi.org/10.1002/qj.2613
144. Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. https://doi.org/10.5194/tc-16-61-2022
145. Scope for predicting seasonal variation of the SPCZ with ACCESS-S1 T. Beischer et al. https://doi.org/10.1007/s00382-020-05550-6