120 citations as recorded by crossref.

1. How much should we believe correlations between Arctic cyclones and sea ice extent? J. Rae et al. https://doi.org/10.5194/tc-11-3023-2017
2. Skilful seasonal predictions of global monsoon summer precipitation with DePreSys3 P. Monerie et al. https://doi.org/10.1088/1748-9326/ac2a65
3. A probabilistic seabed–ice keel interaction model F. Dupont et al. https://doi.org/10.5194/tc-16-1963-2022
4. Representation of tropical convection in an advanced process-oriented diagnostic framework S. Lenka et al. https://doi.org/10.1016/j.atmosres.2025.108585
5. A process-based analysis of ocean heat uptake in an AOGCM with an eddy-permitting ocean component T. Kuhlbrodt et al. https://doi.org/10.1007/s00382-015-2534-0
6. Towards Winter Seasonal Predictability of the North West European Shelf Seas J. Tinker & L. Hermanson https://doi.org/10.3389/fmars.2021.698997
7. 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
8. Interactions between the Somali Current eddies during the summer monsoon: insights from a numerical study C. Akuetevi et al. https://doi.org/10.5194/os-12-185-2016
9. A Mechanism of Internal Decadal Atlantic Ocean Variability in a High-Resolution Coupled Climate Model M. Menary et al. https://doi.org/10.1175/JCLI-D-15-0106.1
10. 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
11. Rain triggers seasonal stratification in a temperate shelf sea J. Jardine et al. https://doi.org/10.1038/s41467-023-38599-y
12. Seasonal forecasting of the European North-West shelf seas: limits of winter and summer sea surface temperature predictability J. Atkins et al. https://doi.org/10.1007/s00382-024-07439-0
13. Representation of the Denmark Strait overflow in a z-coordinate eddying configuration of the NEMO (v3.6) ocean model: resolution and parameter impacts P. Colombo et al. https://doi.org/10.5194/gmd-13-3347-2020
14. 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
15. The Met Office Global Coupled model 2.0 (GC2) configuration K. Williams et al. https://doi.org/10.5194/gmd-8-1509-2015
16. What are the prospects for seasonal prediction of the marine environment of the North-west European Shelf? J. Tinker et al. https://doi.org/10.5194/os-14-887-2018
17. 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
18. The Impact of Tides on Simulated Landfast Ice in a Pan‐Arctic Ice‐Ocean Model J. Lemieux et al. https://doi.org/10.1029/2018JC014080
19. 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
20. Development of early sea surface temperature biases in the tropical Indian Ocean in a coupled model A. Gupta et al. https://doi.org/10.1016/j.dynatmoce.2021.101269
21. The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al. https://doi.org/10.5194/gmd-17-6799-2024
22. Anomalously weak Labrador Sea convection and Atlantic overturning during the past 150 years D. Thornalley et al. https://doi.org/10.1038/s41586-018-0007-4
23. The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution E. O'Dea et al. https://doi.org/10.5194/gmd-10-2947-2017
24. 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
25. Seasonal Rainfall Forecasts for the Yangtze River Basin of China in Summer 2019 from an Improved Climate Service P. Bett et al. https://doi.org/10.1007/s13351-020-0049-z
26. 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
27. Review article: Weddell Sea Polynya formation, cessation and climatic impacts L. Zhou et al. https://doi.org/10.5194/tc-20-285-2026
28. 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
29. Mixed precision support in HPC applications: What about reliability? A. Netti et al. https://doi.org/10.1016/j.jpdc.2023.104746
30. Idealized climate change simulations with a high‐resolution physical model: HadGEM3‐GC2 C. Senior et al. https://doi.org/10.1002/2015MS000614
31. 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
32. Density-compensated overturning in the Labrador Sea S. Zou et al. https://doi.org/10.1038/s41561-019-0517-1
33. The effect of model bias on Atlantic freshwater transport and implications for AMOC bi-stability J. Mecking et al. https://doi.org/10.1080/16000870.2017.1299910
34. Implementation of a multi-layer snow scheme in the GloSea6 seasonal forecast system: impacts on land–atmosphere interactions and climatological biases E. Seo et al. https://doi.org/10.5194/gmd-19-1261-2026
35. Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model D. Williamson et al. https://doi.org/10.5194/gmd-10-1789-2017
36. 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
37. Improving the simulation of landfast ice by combining tensile strength and a parameterization for grounded ridges J. Lemieux et al. https://doi.org/10.1002/2016JC012006
38. 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
39. Ocean and atmosphere influence on the 2015 European heatwave J. Mecking et al. https://doi.org/10.1088/1748-9326/ab4d33
40. Towards quantifying uncertainty in ocean heat content changes using synthetic profiles L. Allison et al. https://doi.org/10.1088/1748-9326/ab2b0b
41. 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
42. Predictability of the Western North Pacific Subtropical High Associated with Different ENSO Phases in GloSea5 D. Zhang et al. https://doi.org/10.1007/s13351-020-0055-1
43. Temperature domination of AMOC weakening due to freshwater hosing in two GCMs R. Haskins et al. https://doi.org/10.1007/s00382-019-04998-5
44. Forecasting Northern Australian Summer Rainfall Bursts Using a Seasonal Prediction System T. Cowan et al. https://doi.org/10.1175/WAF-D-21-0046.1
45. 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
46. Hysteresis and Resilience of the AMOC in an Eddy‐Permitting GCM L. Jackson & R. Wood https://doi.org/10.1029/2018GL078104
47. Reconciling Observation and Model Trends in North Atlantic Surface CO2 A. Lebehot et al. https://doi.org/10.1029/2019GB006186
48. 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
49. The impact of a parameterisation of submesoscale mixed layer eddies on mixed layer depths in the NEMO ocean model D. Calvert et al. https://doi.org/10.1016/j.ocemod.2020.101678
50. AMM15: a new high-resolution NEMO configuration for operational simulation of the European north-west shelf J. Graham et al. https://doi.org/10.5194/gmd-11-681-2018
51. Scope for predicting seasonal variation of the SPCZ with ACCESS-S1 T. Beischer et al. https://doi.org/10.1007/s00382-020-05550-6
52. An assessment of basal melt parameterisations for Antarctic ice shelves C. Burgard et al. https://doi.org/10.5194/tc-16-4931-2022
53. Model sensitivity of the Weddell and Ross seas, Antarctica, to vertical mixing and freshwater forcing J. Kjellsson et al. https://doi.org/10.1016/j.ocemod.2015.08.003
54. Modelling the moistening of the free troposphere during the northwestward progression of Indian monsoon onset A. Menon et al. https://doi.org/10.1002/qj.3281
55. Dynamical downscaling of GloSea5 over Ethiopia S. Tucker et al. https://doi.org/10.1016/j.cliser.2018.02.001
56. Challenging Vertical Turbulence Mixing Schemes in a Tidally Energetic Environment: 1. 3‐D Shelf‐Sea Model Assessment M. Luneva et al. https://doi.org/10.1029/2018JC014307
57. Estimating the numerical diapycnal mixing in an eddy-permitting ocean model A. Megann https://doi.org/10.1016/j.ocemod.2017.11.001
58. 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
59. Climatic Controls on the Spring Phytoplankton Growing Season in a Temperate Shelf Sea J. Jardine et al. https://doi.org/10.1029/2021JC017209
60. Seasonal Prediction Skill and Biases in GloSea5 Relating to the East Asia Winter Monsoon D. Zhang et al. https://doi.org/10.1007/s00376-023-2258-8
61. Increasing vertical mixing to reduce Southern Ocean deep convection in NEMO3.4 C. Heuzé et al. https://doi.org/10.5194/gmd-8-3119-2015
62. Skilful seasonal prediction of winter wind speeds in China J. Lockwood et al. https://doi.org/10.1007/s00382-019-04763-8
63. Understanding the development of systematic errors in the Asian summer monsoon G. Martin et al. https://doi.org/10.5194/gmd-14-1007-2021
64. Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system P. Monerie et al. https://doi.org/10.1007/s00382-018-4526-3
65. Diathermal Heat Transport in a Global Ocean Model R. Holmes et al. https://doi.org/10.1175/JPO-D-18-0098.1
66. Model‐Derived Uncertainties in Deep Ocean Temperature Trends Between 1990 and 2010 F. Garry et al. https://doi.org/10.1029/2018JC014225
67. 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
68. The importance of initial conditions in seasonal predictions of Antarctic sea ice E. Campitelli et al. https://doi.org/10.5194/tc-20-2557-2026
69. 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
70. Seasonal sea level forecasts for the Australian coast R. Holmes et al. https://doi.org/10.1071/ES24047
71. Global ocean surface and subsurface temperature forecast skill over subseasonal to seasonal timescales G. Smith et al. https://doi.org/10.1071/ES23020
72. Representation of the 2016 Korean Heatwave in the Unified Model Global NWP Forecasts: The Impact of Remotely Forced Model Errors and Atmosphere-Ocean Coupling E. Kim et al. https://doi.org/10.3390/atmos11121275
73. ENSO Amplitude Asymmetry in Met Office Hadley Centre Climate Models S. Ineson et al. https://doi.org/10.3389/fclim.2021.789869
74. Skillful Seasonal Forecasts of Summer Surface Air Temperature in Western China by Global Seasonal Forecast System Version 5 C. Li et al. https://doi.org/10.1007/s00376-018-7291-7
75. Using the COAsT Python package to develop a standardised validation workflow for ocean physics models D. Byrne et al. https://doi.org/10.5194/gmd-16-3749-2023
76. On the Drivers and Predictability of Seasonal-to-Interannual Variations in Regional Sea Level C. Roberts et al. https://doi.org/10.1175/JCLI-D-15-0886.1
77. Investigating the predictability of North Atlantic sea surface height R. Fraser et al. https://doi.org/10.1007/s00382-019-04814-0
78. GOSI9: UK Global Ocean and Sea Ice configurations C. Guiavarc'h et al. https://doi.org/10.5194/gmd-18-377-2025
79. Atmosphere-driven cold SST biases over the western North Pacific in the GloSea5 seasonal forecast system A. Cho et al. https://doi.org/10.1007/s00382-022-06228-x
80. Uncertainty in climate projections for the 21st century northwest European shelf seas J. Tinker et al. https://doi.org/10.1016/j.pocean.2016.09.003
81. 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
82. 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
83. Explicit representation and parametrised impacts of under ice shelf seas in the z∗ coordinate ocean model NEMO 3.6 P. Mathiot et al. https://doi.org/10.5194/gmd-10-2849-2017
84. Skill and Reliability of Seasonal Forecasts for the Chinese Energy Sector P. Bett et al. https://doi.org/10.1175/JAMC-D-17-0070.1
85. Insights into Decadal North Atlantic Sea Surface Temperature and Ocean Heat Content Variability from an Eddy-Permitting Coupled Climate Model B. Moat et al. https://doi.org/10.1175/JCLI-D-18-0709.1
86. Can the boundary profiles at 26° N be used to extract buoyancy-forced Atlantic Meridional Overturning Circulation signals? I. Polo et al. https://doi.org/10.5194/os-16-1067-2020
87. Mechanisms of decadal variability in the Labrador Sea and the wider North Atlantic in a high-resolution climate model P. Ortega et al. https://doi.org/10.1007/s00382-016-3467-y
88. Re-emergence of North Atlantic subsurface ocean temperature anomalies in a seasonal forecast system J. Grist et al. https://doi.org/10.1007/s00382-019-04826-w
89. Exploring Viscosity Space in an Eddy‐Permitting Global Ocean Model: Is Viscosity a Useful Control for Numerical Mixing? A. Megann & D. Storkey https://doi.org/10.1029/2020MS002263
90. Timescales of AMOC decline in response to fresh water forcing L. Jackson & R. Wood https://doi.org/10.1007/s00382-017-3957-6
91. ACCESS-S2 seasonal forecasts of rainfall and the SAM–rainfall relationship during the grain growing season in south-west Western Australia R. Firth et al. https://doi.org/10.1071/ES24004
92. ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system R. Wedd et al. https://doi.org/10.1071/ES22026
93. Arctic sea ice and freshwater sensitivity to the treatment of the atmosphere‐ice‐ocean surface layer F. Roy et al. https://doi.org/10.1002/2014JC010677
94. Model validation and applications of wave and current forecasts from the Hong Kong Observatory's Operational Marine Forecasting System W. Kong et al. https://doi.org/10.1016/j.ocemod.2024.102393
95. Representation of Boreal Winter MJO and Its Teleconnection in a Dynamical Ensemble Seasonal Prediction System H. Kim et al. https://doi.org/10.1175/JCLI-D-18-0039.1
96. A 1/16° eddying simulation of the global NEMO sea-ice–ocean system D. Iovino et al. https://doi.org/10.5194/gmd-9-2665-2016
97. Comparison of SST Diurnal Variation Models Over the Tropical Warm Pool Region H. Zhang et al. https://doi.org/10.1029/2017JC013517
98. Will high-resolution global ocean models benefit coupled predictions on short-range to climate timescales? H. Hewitt et al. https://doi.org/10.1016/j.ocemod.2017.11.002
99. Efficiently simulating Lagrangian particles in large-scale ocean flows — Data structures and their impact on geophysical applications C. Kehl et al. https://doi.org/10.1016/j.cageo.2023.105322
100. Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons A. Lauer et al. https://doi.org/10.5194/esd-9-33-2018
101. Skill of the extended range prediction (NERP) for Indian summer monsoon rainfall with NCMRWF global coupled modelling system A. Gera et al. https://doi.org/10.1002/qj.4216
102. A role of the Atlantic Ocean in predicting summer surface air temperature over North East Asia? P. Monerie et al. https://doi.org/10.1007/s00382-017-3935-z
103. 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
104. Two‐way feedback between the Madden–Julian Oscillation and diurnal warm layers in a coupled ocean–atmosphere model E. Karlowska et al. https://doi.org/10.1002/qj.4807
105. On the Superposition of Mean Advective and Eddy-Induced Transports in Global Ocean Heat and Salt Budgets F. Dias et al. https://doi.org/10.1175/JCLI-D-19-0418.1
106. SST Dynamics at Different Scales: Evaluating the Oceanographic Model Resolution Skill to Represent SST Processes in the Southern Ocean J. Skákala et al. https://doi.org/10.1029/2018JC014791
107. Recent slowing of Atlantic overturning circulation as a recovery from earlier strengthening L. Jackson et al. https://doi.org/10.1038/ngeo2715
108. Impact of horizontal resolution on sea surface temperature bias and air–sea interactions over the tropical Indian Ocean in CFSv2 coupled model H. KBRR et al. https://doi.org/10.1002/joc.6496
109. Perceptual multivariate visualisation of volumetric Lagrangian fluid-flow processes C. Kehl et al. https://doi.org/10.3389/fenvs.2022.941910
110. Fingerprints for Early Detection of Changes in the AMOC L. Jackson & R. Wood https://doi.org/10.1175/JCLI-D-20-0034.1
111. Seasonal Forecasts of the Summer 2016 Yangtze River Basin Rainfall P. Bett et al. https://doi.org/10.1007/s00376-018-7210-y
112. Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model A. Jayakumar et al. https://doi.org/10.1007/s00382-016-3423-x
113. MJO modulation and its ability to predict boreal summer tropical cyclone genesis over the northwest Pacific in Met Office Hadley Centre and Beijing Climate Center seasonal prediction systems C. Zhao et al. https://doi.org/10.1002/qj.3478
114. Ocean Heat Storage in Response to Changing Ocean Circulation Processes F. Dias et al. https://doi.org/10.1175/JCLI-D-19-1016.1
115. Importance of Boundary Processes for Heat Uptake in the Subpolar North Atlantic D. Desbruyères et al. https://doi.org/10.1029/2020JC016366
116. Impact of Gulf Stream SST biases on the global atmospheric circulation R. Lee et al. https://doi.org/10.1007/s00382-018-4083-9
117. C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis A. Storto & S. Masina https://doi.org/10.5194/essd-8-679-2016
118. 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
119. NEMO–ICB (v1.0): interactive icebergs in the NEMO ocean model globally configured at eddy-permitting resolution R. Marsh et al. https://doi.org/10.5194/gmd-8-1547-2015
120. The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model H. Hewitt et al. https://doi.org/10.5194/gmd-9-3655-2016