233 citations as recorded by crossref.

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4. Interannual rainfall variability over China in the MetUM GA6 and GC2 configurations C. Stephan et al. https://doi.org/10.5194/gmd-11-1823-2018
5. Verification of the 2019 GloSea5 Seasonal Tropical Cyclone Landfall Forecast for East China J. Camp et al. https://doi.org/10.1007/s13351-020-0043-5
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7. 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
8. Critical Southern Ocean climate model biases traced to atmospheric model cloud errors P. Hyder et al. https://doi.org/10.1038/s41467-018-05634-2
9. 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
10. Scope for predicting seasonal variation of the SPCZ with ACCESS-S1 T. Beischer et al. https://doi.org/10.1007/s00382-020-05550-6
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12. Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design D. Mitchell et al. https://doi.org/10.5194/gmd-10-571-2017
13. Automated Fortran–C++ Bindings for Large-Scale Scientific Applications S. Johnson et al. https://doi.org/10.1109/MCSE.2019.2924204
14. Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. https://doi.org/10.1088/2515-7620/ab8b29
15. The Response of Northern Hemisphere Polar Lows to Climate Change in a 25 km High‐Resolution Global Climate Model H. Bresson et al. https://doi.org/10.1029/2021JD035610
16. Predictability and Risk of Extreme Winter PM2.5 Concentration in Beijing J. Liu et al. https://doi.org/10.1007/s13351-023-3023-8
17. Global marine heatwave events using the new CMIP6 multi-model ensemble: from shortcomings in present climate to future projections S. Plecha & P. Soares https://doi.org/10.1088/1748-9326/abc847
18. 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
19. 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
20. Skilful prediction of Sahel summer rainfall on inter-annual and multi-year timescales K. Sheen et al. https://doi.org/10.1038/ncomms14966
21. Observed and Simulated Teleconnections Between the Stratospheric Quasi‐Biennial Oscillation and Northern Hemisphere Winter Atmospheric Circulation M. Andrews et al. https://doi.org/10.1029/2018JD029368
22. Assessment of the unified model in reproducing West African precipitation and temperature climatology T. Annor et al. https://doi.org/10.1007/s00704-022-03973-1
23. A mixed finite‐element, finite‐volume, semi‐implicit discretization for atmospheric dynamics: Cartesian geometry T. Melvin et al. https://doi.org/10.1002/qj.3501
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25. Global forests risk to climate and land-use change E. Asamoah et al. https://doi.org/10.1016/j.biocon.2026.111816
26. Prospects for improving the representation of coastal and shelf seas in global ocean models J. Holt et al. https://doi.org/10.5194/gmd-10-499-2017
27. Mei‐yu Front Assessment in CMIP6 Earth System Models During the East Asian Summer Monsoon K. Ng et al. https://doi.org/10.1002/joc.8810
28. Skilful seasonal prediction of Korean winter temperature J. Lim et al. https://doi.org/10.1002/asl.881
29. Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler R. Briant et al. https://doi.org/10.5194/gmd-10-927-2017
30. Recent advances in seasonal and multi-annual tropical cyclone forecasting Y. Takaya et al. https://doi.org/10.1016/j.tcrr.2023.09.003
31. The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 P. Valdes et al. https://doi.org/10.5194/gmd-10-3715-2017
32. The impact of air–sea coupling and ocean biases on the seasonal cycle of southern West African precipitation C. Wainwright et al. https://doi.org/10.1007/s00382-019-04973-0
33. Predictability of the 2017 North Atlantic hurricane season J. Camp et al. https://doi.org/10.1002/asl.813
34. New mechanism for delayed ENSO impact on the East Asian Summer Monsoon S. Hardiman et al. https://doi.org/10.1038/s41612-025-01283-7
35. Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges T. Howard & S. Williams https://doi.org/10.5194/nhess-21-3693-2021
36. On the soil moisture memory and influence on coupled seasonal forecasts over Australia M. Zhao et al. https://doi.org/10.1007/s00382-018-4566-8
37. Seasonal predictability of winter ENSO types in operational dynamical model predictions H. Ren et al. https://doi.org/10.1007/s00382-018-4366-1
38. Seasonal Rainfall Forecasts for the Yangtze River Basin in the Extreme Summer of 2020 P. Bett et al. https://doi.org/10.1007/s00376-021-1087-x
39. Development, Amplification, and Decay of Atlantic/European Summer Weather Patterns Linked to Spring North Atlantic Sea Surface Temperatures A. Ossó et al. https://doi.org/10.1175/JCLI-D-19-0613.1
40. What chance of a sudden stratospheric warming in the southern hemisphere? L. Wang et al. https://doi.org/10.1088/1748-9326/aba8c1
41. Towards quantifying uncertainty in ocean heat content changes using synthetic profiles L. Allison et al. https://doi.org/10.1088/1748-9326/ab2b0b
42. Lessons learnt from a real-time attribution and contextualisation trial in a National Meteorological and Hydrological Service P. Hope et al. https://doi.org/10.1088/2752-5295/ad7da8
43. The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models Y. Tsushima et al. https://doi.org/10.5194/gmd-10-4285-2017
44. Australia-Asian monsoon in two versions of the UK Met Office Unified Model and their impacts on tropical–extratropical teleconnections L. Jin et al. https://doi.org/10.1007/s00382-019-04821-1
45. 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
46. The 2015 Indian summer monsoon onset – phenomena, forecasting and research flight planning P. Willetts et al. https://doi.org/10.1002/wea.2819
47. Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. https://doi.org/10.5194/tc-12-935-2018
48. Intraseasonal summer rainfall variability over China in the MetUM GA6 and GC2 configurations C. Stephan et al. https://doi.org/10.5194/gmd-11-3215-2018
49. 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
50. The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations D. Walters et al. https://doi.org/10.5194/gmd-10-1487-2017
51. 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
52. Sensitivity of the Arctic freshwater content and transport to model resolution R. Fuentes-Franco & T. Koenigk https://doi.org/10.1007/s00382-019-04735-y
53. Generative emulation of chaotic dynamics with coherent prior J. Nathaniel & P. Gentine https://doi.org/10.1016/j.cma.2025.118410
54. Representation of the ENSO Combination Mode and its Asymmetric SST Response in Different Resolutions of HadGEM3 J. Wan et al. https://doi.org/10.1007/s00376-018-7285-5
55. Asymmetry of probabilistic prediction skills of the midsummer surface air temperature over the middle and lower reach of the Yangtze River valley S. Tang et al. https://doi.org/10.1007/s00382-021-05866-x
56. Projected near-term changes in temperature extremes over China in the mid-twenty-first century and underlying physical processes W. Chen & B. Dong https://doi.org/10.1007/s00382-020-05566-y
57. The influence of air–sea coupling on forecasts of the 2016 Indian summer monsoon and its intraseasonal variability M. Valdivieso et al. https://doi.org/10.1002/qj.3914
58. Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe R. Vautard et al. https://doi.org/10.1007/s00382-018-4183-6
59. Skilful multiweek tropical cyclone prediction in ACCESS‐S1 and the role of the MJO J. Camp et al. https://doi.org/10.1002/qj.3260
60. Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022 N. Dunstone et al. https://doi.org/10.1038/s41467-023-42377-1
61. 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
62. Forecasting South China Sea Monsoon Onset Using Insight From Theory R. Geen https://doi.org/10.1029/2020GL091444
63. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. https://doi.org/10.5194/gmd-10-359-2017
64. 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
65. Evaluating Climate Models with an African Lens R. James et al. https://doi.org/10.1175/BAMS-D-16-0090.1
66. 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
67. Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England A. Kay et al. https://doi.org/10.5194/nhess-24-2953-2024
68. A Mechanism for the Recently Increased Interdecadal Variability of the Silk Road Pattern C. Stephan et al. https://doi.org/10.1175/JCLI-D-18-0405.1
69. Effects of horizontal resolution and air–sea coupling on simulated moisture source for East Asian precipitation in MetUM GA6/GC2 L. Guo et al. https://doi.org/10.5194/gmd-13-6011-2020
70. The asymmetric response of Yangtze river basin summer rainfall to El Niño/La Niña S. Hardiman et al. https://doi.org/10.1088/1748-9326/aaa172
71. 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
72. Skilful seasonal prediction of winter wind speeds in China J. Lockwood et al. https://doi.org/10.1007/s00382-019-04763-8
73. 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
74. Seasonal Tropical Cyclone Forecasting P. Klotzbach et al. https://doi.org/10.1016/j.tcrr.2019.10.003
75. Global ocean surface and subsurface temperature forecast skill over subseasonal to seasonal timescales G. Smith et al. https://doi.org/10.1071/ES23020
76. Forecasting extreme marine heat events in key aquaculture regions around New Zealand C. de Burgh-Day et al. https://doi.org/10.1071/ES21012
77. The UKC2 regional coupled environmental prediction system H. Lewis et al. https://doi.org/10.5194/gmd-11-1-2018
78. Using climate model simulations to assess the current climate risk to maize production C. Kent et al. https://doi.org/10.1088/1748-9326/aa6cb9
79. The Impact of Two Coupled Cirrus Microphysics–Radiation Parameterizations on the Temperature and Specific Humidity Biases in the Tropical Tropopause Layer in a Climate Model A. Baran et al. https://doi.org/10.1175/JCLI-D-15-0821.1
80. Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP C. Roberts et al. https://doi.org/10.5194/gmd-11-3681-2018
81. 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
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83. The Gulf Stream influence on wintertime North Atlantic jet variability C. O'Reilly et al. https://doi.org/10.1002/qj.2907
84. 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
85. 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
86. The Indian summer monsoon in MetUM-GOML2.0: effects of air–sea coupling and resolution S. Peatman & N. Klingaman https://doi.org/10.5194/gmd-11-4693-2018
87. Current likelihood and dynamics of hot summers in the UK G. Kay et al. https://doi.org/10.1088/1748-9326/abab32
88. Predicting El Niño in 2014 and 2015 S. Ineson et al. https://doi.org/10.1038/s41598-018-29130-1
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90. 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
91. Seasonal Asian Dust Forecasting Using GloSea5-ADAM S. Ryoo et al. https://doi.org/10.3390/atmos11050526
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97. Unrealistic Increases in Wind Speed Explain Reduced Eastern Pacific Heat Flux in Reanalyses C. Liu & R. Allan https://doi.org/10.1175/JCLI-D-17-0642.1
98. ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system R. Wedd et al. https://doi.org/10.1071/ES22026
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100. Complexity of Mesoscale Eddy Diffusivity in the Ocean I. Kamenkovich et al. https://doi.org/10.1029/2020GL091719
101. Seasonal prediction of Euro-Atlantic teleconnections from multiple systems L. Lledó et al. https://doi.org/10.1088/1748-9326/ab87d2
102. Understanding the development of systematic errors in the Asian summer monsoon G. Martin et al. https://doi.org/10.5194/gmd-14-1007-2021
103. Predicting June Mean Rainfall in the Middle/Lower Yangtze River Basin G. Martin et al. https://doi.org/10.1007/s00376-019-9051-8
104. Diagnosing ISO Forecast from GloSea5 Using Dynamic-Oriented ISO Theory Y. Yang et al. https://doi.org/10.3390/atmos12010114
105. Skilful Seasonal Predictions of Summer European Rainfall N. Dunstone et al. https://doi.org/10.1002/2017GL076337
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107. Wind power forecasting over India: value-addition to a coupled model seasonal forecasts S. Kumar et al. https://doi.org/10.1093/ce/zkae094
108. 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
109. 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
110. 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
111. Magnitude and Phase of Diurnal SST Variations in the ACCESS‐S1 Model During the Suppressed Phase of the MJOs J. Hsu et al. https://doi.org/10.1029/2019JC015458
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114. Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts P. Hitchcock et al. https://doi.org/10.5194/gmd-15-5073-2022
115. Predictability of South China Sea Summer Monsoon Onset G. Martin et al. https://doi.org/10.1007/s00376-018-8100-z
116. Atlantic Multidecadal Variability and the U.K. ACSIS Program R. Sutton et al. https://doi.org/10.1175/BAMS-D-16-0266.1
117. 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
118. Evaluation of Seasonal Prediction of Extreme Wind Resource Potential over China Based on a Dynamic Prediction System SIDRI-ESS V1.0 Z. Yan et al. https://doi.org/10.3390/atmos15091024
119. Recent European marine heatwaves are unprecedented but not unexpected J. Atkins et al. https://doi.org/10.1038/s43247-025-02802-3
120. What potential for improving sub‐seasonal predictions of the winter NAO? C. Kent et al. https://doi.org/10.1002/asl.1146
121. Future changes in Beijing haze events under different anthropogenic aerosol emission scenarios L. Zhang et al. https://doi.org/10.5194/acp-21-7499-2021
122. Will 2024 be the first year that global temperature exceeds 1.5°C? N. Dunstone et al. https://doi.org/10.1002/asl.1254
123. A novel approach for exploring climatic factors limiting current pest distributions: A case study of Bemisia tabaci in north-west Europe and assessment of potential future establishment in the United Kingdom under climate change C. Bradshaw et al. https://doi.org/10.1371/journal.pone.0221057
124. 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
125. The probability of unprecedented high rainfall in wine regions of northern Portugal M. Sanderson et al. https://doi.org/10.1016/j.cliser.2023.100363
126. Can stratospheric nudging improve surface predictability? Insights from the 2019 Southern Hemisphere sudden stratospheric warming K. Feng et al. https://doi.org/10.1038/s41612-025-01234-2
127. Skilful predictions of the Summer North Atlantic Oscillation N. Dunstone et al. https://doi.org/10.1038/s43247-023-01063-2
128. The western Pacific subtropical high and tropical cyclone landfall: Seasonal forecasts using the Met Office GloSea5 system J. Camp et al. https://doi.org/10.1002/qj.3407
129. The influence of tides on the North West European shelf winter residual circulation J. Tinker et al. https://doi.org/10.3389/fmars.2022.847138
130. Extreme Snow Events along the Coast of the Northeast United States: Analysis of Observations and HiRAM Simulations G. Chen et al. https://doi.org/10.1175/JCLI-D-18-0874.1
131. Strong Dependence of Atmospheric Feedbacks on Mixed‐Phase Microphysics and Aerosol‐Cloud Interactions in HadGEM3 A. Bodas‐Salcedo et al. https://doi.org/10.1029/2019MS001688
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134. 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
135. Potential Underestimation of Future Mei-Yu Rainfall with Coarse-Resolution Climate Models X. Chen et al. https://doi.org/10.1175/JCLI-D-17-0741.1
136. A simplified seasonal forecasting strategy, applied to wind and solar power in Europe P. Bett et al. https://doi.org/10.1016/j.cliser.2022.100318
137. Skilful seasonal predictions of global monsoon summer precipitation with DePreSys3 P. Monerie et al. https://doi.org/10.1088/1748-9326/ac2a65
138. Stable AMOC off state in an eddy-permitting coupled climate model J. Mecking et al. https://doi.org/10.1007/s00382-016-2975-0
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141. The Impact of Indian Ocean Mean-State Biases in Climate Models on the Representation of the East African Short Rains L. Hirons & A. Turner https://doi.org/10.1175/JCLI-D-17-0804.1
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144. Rainfall in uncoupled and coupled versions of the Met Office Unified Model over Central Africa: Investigation of processes during the September–November rainy season T. Taguela et al. https://doi.org/10.1002/joc.7591
145. 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
146. Impact of ocean resolution on coupled air‐sea fluxes and large‐scale climate M. Roberts et al. https://doi.org/10.1002/2016GL070559
147. 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
148. 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
149. Robust impact of tropical Pacific SST trends on global and regional circulation in boreal winter J. Kang et al. https://doi.org/10.1038/s41612-025-01192-9
150. A New Approach to Skillful Seasonal Prediction of Southeast Asia Tropical Cyclone Occurrence X. Feng et al. https://doi.org/10.1029/2022JD036439
151. 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
152. Multi-model evaluation of the sensitivity of the global energy budget and hydrological cycle to resolution B. Vannière et al. https://doi.org/10.1007/s00382-018-4547-y
153. The Impact of Strong El Niño and La Niña Events on the North Atlantic S. Hardiman et al. https://doi.org/10.1029/2018GL081776
154. Improved boreal summer intraseasonal oscillation simulations over the Indian Ocean by modifying moist parameterizations in climate models Y. Yang et al. https://doi.org/10.1007/s00382-021-05822-9
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