94 citations as recorded by crossref.

1. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models S. Hauswirth et al. 10.3389/frwa.2023.1108108
2. Comparison of ocean deoxygenation between CMIP models and an observational dataset in the North Pacific from 1958 to 2005 Y. Abe & S. Minobe 10.3389/fmars.2023.1161451
3. Model spread in multidecadal North Atlantic Oscillation variability connected to stratosphere–troposphere coupling R. Bonnet et al. 10.5194/wcd-5-913-2024
4. Multi criteria evaluation of downscaled CMIP6 models in predicting precipitation extremes R. Gupta et al. 10.1016/j.atmosres.2025.107921
5. Confronting Earth System Model trends with observations I. Simpson et al. 10.1126/sciadv.adt8035
6. Continental United States climate projections based on thermodynamic modification of historical weather A. Jones et al. 10.1038/s41597-023-02485-5
7. Increasing connections of the leading internal mode of the summertime Northwest Pacific subtropical anticyclone with preceding ENSO under greenhouse warming in FGOALS‐g3 super‐large ensemble J. Ma et al. 10.1002/joc.8197
8. ModE-Sim – a medium-sized atmospheric general circulation model (AGCM) ensemble to study climate variability during the modern era (1420 to 2009) R. Hand et al. 10.5194/gmd-16-4853-2023
9. Interpretable polynomial neural ordinary differential equations C. Fronk & L. Petzold 10.1063/5.0130803
10. Rising risks of hydroclimatic swings: A large ensemble study of dry and wet spell transitions in North America W. Na & M. Najafi 10.1016/j.gloplacha.2024.104476
11. Connecting climate science and society: reflections from early and mid-career researchers at the World Climate Research Programme Open Science Conference 2023 L. Díaz et al. 10.3389/fclim.2024.1501216
12. The SMHI Large Ensemble (SMHI-LENS) with EC-Earth3.3.1 K. Wyser et al. 10.5194/gmd-14-4781-2021
13. Influence of age, soil volume, and climate change on water availability at urban tree sites L. Rosenberger et al. 10.1016/j.scs.2024.105680
14. Role of the Warm Arctic Cold Eurasian-like pattern on the near future warming rate of East Asian surface temperature S. Oh et al. 10.1088/1748-9326/ad90f6
15. Dependence of strategic solar climate intervention on background scenario and model physics J. Fasullo & J. Richter 10.5194/acp-23-163-2023
16. Demystifying global climate models for use in the life sciences D. Schoeman et al. 10.1016/j.tree.2023.04.005
17. Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events M. Schirmer et al. 10.5194/tc-16-3469-2022
18. Rarest rainfall events will see the greatest relative increase in magnitude under future climate change G. Gründemann et al. 10.1038/s43247-022-00558-8
19. Underestimation of meteorological drought intensity due to lengthening of the drought season with climate change J. Dullaart & K. van der Wiel 10.1088/2752-5295/ad8d01
20. Extreme and compound ocean events are key drivers of projected low pelagic fish biomass N. Le Grix et al. 10.1111/gcb.16968
21. Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications A. Merrifield et al. 10.5194/gmd-16-4715-2023
22. Variability in flood frequency in sub-Saharan Africa: The role of large-scale climate modes of variability and their future impacts J. Ekolu et al. 10.1016/j.jhydrol.2024.131679
23. Severe compound events of low wind and cold temperature for the British power system L. Lücke et al. 10.1002/met.2219
24. Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature S. Schöngart et al. 10.5194/gmd-17-8283-2024
25. Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment D. Zanchettin et al. 10.5194/gmd-15-2265-2022
26. Exploring the contribution of low‐frequency internal variability modes to global mean sea surface temperature variability based on large ensembles L. Yang et al. 10.1002/joc.8515
27. Overview of the advances in understanding chaos in low-dimensional dynamical systems subjected to parameter drift D. Jánosi & T. Tél 10.1016/j.physrep.2024.09.003
28. Temperature emergence at decision-relevant scales L. Harrington 10.1088/1748-9326/ac19dc
29. The influence of variability on fire weather conditions in high latitude regions under present and future global warming M. Lund et al. 10.1088/2515-7620/acdfad
30. Changing windstorm characteristics over the US Northeast in a single model large ensemble J. Coburn et al. 10.1088/1748-9326/ad801b
31. Effects of storms on fisheries and aquaculture: An Icelandic case study on climate change adaptation N. Sühring et al. 10.1080/15230430.2023.2269689
32. Converged ensemble simulations of climate: possible trends in total solar irradiance cannot explain global warming alone G. Drótos et al. 10.3389/feart.2024.1240784
33. Large ensemble simulations indicate increases in spatial compounding of droughts and hot extremes across multiple croplands in China B. Lv et al. 10.1016/j.gloplacha.2024.104670
34. Applying global warming levels of emergence to highlight the increasing population exposure to temperature and precipitation extremes D. Gampe et al. 10.5194/esd-15-589-2024
35. Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling: from blockings to teleconnections S. Springer et al. 10.1038/s41612-024-00659-5
36. Climate Change Impacts Pair‐Bond Dynamics in a Long‐Lived Monogamous Species R. Sun et al. 10.1111/ele.14555
37. A Deep Learning Approach for the Identification of Long-Duration Mixed Precipitation in Montréal (Canada) M. Mittermeier et al. 10.1080/07055900.2021.1992341
38. Precipitation variability in CMIP6 climate models across the North Atlantic–European region and their Links to Atmospheric Circulation E. Plavcová et al. 10.1007/s00382-024-07556-w
39. Projections of climate change and its impacts based on CMIP6 models—calling attention to quantifying and constraining uncertainty Q. Zhang et al. 10.1088/1748-9326/adb1f7
40. Quantifying the contribution of forcing and three prominent modes of variability to historical climate A. Schurer et al. 10.5194/cp-19-943-2023
41. Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks Z. Labe & E. Barnes 10.1029/2022GL098173
42. An overview of the E3SM version 2 large ensemble and comparison to other E3SM and CESM large ensembles J. Fasullo et al. 10.5194/esd-15-367-2024
43. Theoretical tools for understanding the climate crisis from Hasselmann’s programme and beyond V. Lucarini & M. Chekroun 10.1038/s42254-023-00650-8
44. Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment D. Hueholt et al. 10.1029/2023EF003488
45. A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble M. Mittermeier et al. 10.1088/1748-9326/ac8068
46. A 100-member ensemble simulations of global historical (1951–2010) wave heights M. Casas-Prat et al. 10.1038/s41597-023-02058-6
47. Magnetic structures in the explicitly time-dependent nontwist map D. Jánosi et al. 10.1063/5.0231530
48. The Role of the North Atlantic Oscillation for Projections of Winter Mean Precipitation in Europe C. McKenna & A. Maycock 10.1029/2022GL099083
49. Reliability of simulating internal precipitation variability over multi‐timescales using multiple global climate model large ensembles in China J. Liu et al. 10.1002/joc.8210
50. Where are the coexisting parallel climates? Large ensemble climate projections from the point of view of chaos theory M. Herein et al. 10.1063/5.0136719
51. How to stop being surprised by unprecedented weather T. Kelder et al. 10.1038/s41467-025-57450-0
52. Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. 10.1038/s41612-024-00781-4
53. GARD-LENS: A downscaled large ensemble dataset for understanding future climate and its uncertainties S. Hartke et al. 10.1038/s41597-024-04205-z
54. A substantial reduction of total and group-specific population risk to compound heat and drought events in China through achieving carbon neutrality J. Chen et al. 10.1016/j.jclepro.2025.144694
55. Chaotic oceanic excitation of low-frequency polar motion variability L. Börger et al. 10.5194/esd-16-75-2025
56. Triangulating habitat suitability for the locally extirpated California grizzly bear A. McInturff et al. 10.1016/j.biocon.2025.110989
57. The Super-large Ensemble Experiments of CAS FGOALS-g3 P. Lin et al. 10.1007/s00376-022-1439-1
58. Assessment of long-term historical trends in winter precipitation in Japan using large-ensemble climate simulations: Changes in the impact of southern coastal cyclones M. Ohba & H. Kawase 10.1007/s00382-024-07213-2
59. Natural Disasters, Principled Humanitarianism, and the Prospects for a New Solidarism in International Solidarity I. Ruacan 10.1177/03043754251319943
60. An ensemble based approach for the effect of climate change on the dynamics of extremes M. Herein et al. 10.3389/feart.2023.1267473
61. The KNMI Large Ensemble Time Slice (KNMI–LENTIS) L. Muntjewerf et al. 10.5194/gmd-16-4581-2023
62. The Arctic has warmed nearly four times faster than the globe since 1979 M. Rantanen et al. 10.1038/s43247-022-00498-3
63. Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6 D. Lafferty & R. Sriver 10.1038/s41612-023-00486-0
64. Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection (ARISE-SAI): protocol and initial results from the first simulations J. Richter et al. 10.5194/gmd-15-8221-2022
65. Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction F. Ling et al. 10.1038/s41612-024-00679-1
66. Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
67. Role of mean and variability change in changes in European annual and seasonal extreme precipitation events R. Wood 10.5194/esd-14-797-2023
68. Quantifying the extremity of 2022 Chinese Yangtze River Valley daily hot extreme: fixed or moving baseline matters L. Li et al. 10.1088/1748-9326/ad4e49
69. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
70. Tropical cyclone-induced coastal sea level projection and the adaptation to a changing climate N. Mori & T. Shimura 10.1017/cft.2022.6
71. Effects of Internal Climate Variability on Historical Ocean Wave Height Trend Assessment M. Casas-Prat et al. 10.3389/fmars.2022.847017
72. Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. 10.1038/s41467-023-37847-5
73. Developing user-informed fire weather projections for Canada L. Van Vliet et al. 10.1016/j.cliser.2024.100505
74. Current and future risk of unprecedented hydrological droughts in Great Britain W. Chan et al. 10.1016/j.jhydrol.2023.130074
75. Attributing the recent weakening of the South Asian subtropical westerlies P. Upadhyaya et al. 10.1038/s41612-024-00777-0
76. Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach S. Swain et al. 10.1061/JHYEFF.HEENG-6026
77. Extreme metrics from large ensembles: investigating the effects of ensemble size on their estimates C. Tebaldi et al. 10.5194/esd-12-1427-2021
78. Improving statistical projections of ocean dynamic sea-level change using pattern recognition techniques V. Malagón-Santos et al. 10.5194/os-19-499-2023
79. Can limiting global temperature rise to below 2°C warming prevent the emergence of unprecedented drought? Y. Ji et al. 10.1016/j.agrformet.2024.110047
80. Contrasting changes in hydrological processes of the Volta River basin under global warming M. Dembélé et al. 10.5194/hess-26-1481-2022
81. Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble F. Willkofer et al. 10.5194/hess-28-2969-2024
82. Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al. 10.1029/2021EF002644
83. Detection of Forced Change Within Combined Climate Fields Using Explainable Neural Networks J. Rader et al. 10.1029/2021MS002941
84. Observation-inferred resilience loss of the Amazon rainforest possibly due to internal climate variability R. Grodofzig et al. 10.5194/esd-15-913-2024
85. West Antarctic Surface Climate Changes Since the Mid‐20th Century Driven by Anthropogenic Forcing Q. Dalaiden et al. 10.1029/2022GL099543
86. Combined role of ENSO and IOD on compound drought and heatwaves in Australia using two CMIP6 large ensembles P. Reddy et al. 10.1016/j.wace.2022.100469
87. Large Ensemble Simulations of Climate Models for Climate Change Research: A Review P. Lin et al. 10.1007/s00376-024-4012-2
88. The application of applied category theory to quantify mission success R. Garrett et al. 10.1177/00375497221114861
89. A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change P. Ludwig et al. 10.5194/nhess-23-1287-2023
90. Storm surges and extreme sea levels: Review, establishment of model intercomparison and coordination of surge climate projection efforts (SurgeMIP). N. Bernier et al. 10.1016/j.wace.2024.100689
91. Modulation of Northern Europe near-term anthropogenic warming and wettening assessed through internal variability storylines A. Liné et al. 10.1038/s41612-024-00759-2
92. Increasing Risks of Future Compound Climate Extremes With Warming Over Global Land Masses H. Wu et al. 10.1029/2022EF003466
93. Simulation of hydropower at subcontinental to global scales: a state-of-the-art review S. Turner & N. Voisin 10.1088/1748-9326/ac4e38
94. Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks Z. Labe & E. Barnes 10.1029/2022EA002348