66 citations as recorded by crossref.

1. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
2. Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion S. Emelina et al. 10.1134/S0001433823040059
3. A drier Orinoco basin during the twenty-first century: the role of the Orinoco low-level jet I. Correa et al. 10.1007/s00382-023-07028-7
4. CMIP6 model projections leave no room for permafrost to persist in Western Siberia under the SSP5-8.5 scenario G. Alexandrov et al. 10.1007/s10584-021-03292-w
5. Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
6. Prediction of the Arctic Sea Ice Characteristics for Summer Seasons Using the INM RAS Earth System Model V. Bragina et al. 10.3103/S106837392408003X
7. Assessment of climate change in the North-East region of Côte d‘Ivoire: Future precipitation, temperature, and meteorological drought using CMIP6 models K. Kouman et al. 10.1080/23311916.2024.2345506
8. Projected Changes in Temperature and Precipitation Over the United States, Central America, and the Caribbean in CMIP6 GCMs M. Almazroui et al. 10.1007/s41748-021-00199-5
9. Simulation of climate changes in Northern Eurasia by two versions of the INM RAS Earth system model V. Bragina et al. 10.1007/s00382-024-07306-y
10. Ensemble Projection of Climate Suitability for Alfalfa (Medicago Sativa L.) in Hamkyongbukdo H. Min et al. 10.5333/KGFS.2024.44.2.71
11. Seasonal advance of intense tropical cyclones in a warming climate K. Shan et al. 10.1038/s41586-023-06544-0
12. Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. 10.1029/2023GL103381
13. Evaluation of the INM RAS climate model skill in climate indices and stratospheric anomalies on seasonal timescale V. Vorobyeva & E. Volodin 10.1080/16000870.2021.1892435
14. Projecting Global Mean Sea‐Level Change Using CMIP6 Models T. Hermans et al. 10.1029/2020GL092064
15. Response of Terrestrial Net Primary Production to Quadrupled CO2 Forcing: A Comparison between the CAS-ESM2 and CMIP6 Models J. Zhu et al. 10.3390/biology11121693
16. Simulation of modern and future climate by INM-CM6M A. Gritsun et al. 10.1515/rnam-2024-0028
17. Arctic Seasonal Variability and Extremes, and the Role of Weather Systems in a Changing Climate K. Hartmuth et al. 10.1029/2022GL102349
18. Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea S. Kim & S. Kim 10.2139/ssrn.4171639
19. Future Changes in Temperature and Precipitation over Northeastern Brazil by CMIP6 Model L. Dantas et al. 10.3390/w14244118
20. Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé 10.5194/os-17-59-2021
21. Recent and projected changes in climate patterns in the Middle East and North Africa (MENA) region D. Francis & R. Fonseca 10.1038/s41598-024-60976-w
22. The ability of climate models to reproduce the weakening of the annual air temperature cycle over the central part of the Russian Plain G. Alexandrov 10.1088/1755-1315/1040/1/012029
23. The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India S. Shetty et al. 10.1002/joc.8131
24. Assessment of Model Performance in East Asia Based on the CMIP6 Multi-Model Ensemble J. Lee et al. 10.15531/KSCCR.2021.12.5.461
25. Optimization of the design of an agrophotovoltaic system in future climate conditions in South Korea S. Kim & S. Kim 10.1016/j.renene.2023.02.090
26. How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. 10.5194/acp-22-2095-2022
27. Constraining CMIP6 estimates of Arctic Ocean temperature and salinity in 2025-2055 H. Langehaug et al. 10.3389/fmars.2023.1211562
28. Ensemble-based statistical verification of INM RAS Earth system model M. Tarasevich et al. 10.1515/rnam-2023-0014
29. On the simulations of latent heat flux over the Indian Ocean in CMIP6 models S. Mohan & R. Ruchith 10.1007/s00382-023-06871-y
30. Seasonal Hydrodynamic Forecasts of INM-CM5 Model for Estimation of the Start of the Birch Pollen Season S. Emelina et al. 10.31857/S0002351523040053
31. Long-term hydroclimatic projections and climate change scenarios at regional scale in Morocco P. Pérez-Cutillas & A. Salhi 10.1016/j.jenvman.2024.123254
32. Dynamic Meteorology Research in Russia, 2015–2018 M. Kurgansky & V. Krupchatnikov 10.1134/S0001433819060070
33. Attribution of the human influence on heavy rainfall associated with flooding events during the 2012, 2016, and 2018 March-April-May seasons in Kenya J. Kimutai et al. 10.1016/j.wace.2022.100529
34. Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy K. Tokarska et al. 10.1038/s41561-019-0493-5
35. Russian Climate Research in 2015–2018 I. Mokhov 10.1134/S0001433820040064
36. Observation-inferred resilience loss of the Amazon rainforest possibly due to internal climate variability R. Grodofzig et al. 10.5194/esd-15-913-2024
37. Verification of Seasonal Ensemble Forecasts Based on the INM-CM5 Earth System Model V. Khan et al. 10.3103/S1068373924070033
38. Assessment of the Reproducibility of Oceanographic Fields in Retrospective Forecasts Using the INM-CM5 Earth System Model Y. Resnyanskii et al. 10.3103/S1068373924030014
39. Assessment of Changes in the Temperature Regime of Northern Eurasia for the Next Five Years According to the INM RAS Earth System Model Forecasts and Their Possible Consequences for Agriculture V. Khan et al. 10.3103/S1068373923090029
40. Towards better characterization of global warming impacts in the environment through climate classifications with improved global models A. Navarro et al. 10.1002/joc.7527
41. Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate L. McBride et al. 10.5194/esd-12-545-2021
42. Future transition in climate extremes over Western Ghats of India based on CMIP6 models S. Shetty et al. 10.1007/s10661-023-11090-3
43. Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios X. Li & Z. Li 10.1002/joc.7559
44. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
45. Projected Changes of Surface Winds Over the Antarctic Continental Margin J. Neme et al. 10.1029/2022GL098820
46. Identification of Best CMIP6 Global Climate Model for Rainfall by Ensemble Implementation of MCDM Methods and Statistical Inference G. Patel et al. 10.1007/s11269-023-03599-6
47. Analysis of the Atmosphere and the Ocean Upper Layer State Predictability for up to 5 Years Ahead Using the INMCM5 Climate Model Hindcasts V. Vorobeva et al. 10.3103/S106837392307004X
48. Climatically Driven Minimum of Energy Demand for Heating in Cities at the Center of the European Part of Russia G. Alexandrov 10.1134/S000143382006002X
49. Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea S. Kim & S. Kim 10.2139/ssrn.4088352
50. Reply to “Comment on ‘The Impact of Recent Forcing and Ocean Heat Uptake Data on Estimates of Climate Sensitivity’” N. Lewis & J. Curry 10.1175/JCLI-D-18-0669.1
51. Hydrological Intensification Will Increase the Complexity of Water Resource Management D. Ficklin et al. 10.1029/2021EF002487
52. Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming M. Latonin et al. 10.1016/j.polar.2021.100677
53. Evaluation of the characteristics of Indian summer monsoon simulated by CMIP6 models M. Saha & C. Singh 10.1002/joc.8484
54. Performance evaluation and ranking of CMIP6 global climate models over upper blue nile (abbay) basin of Ethiopia J. Mohammed 10.1016/j.nhres.2024.06.004
55. Unusually low dust activity in North Africa in June 2023: Causes, impacts and future projections D. Francis et al. 10.1016/j.atmosres.2024.107594
56. Climatological features of future MCSs over the Canadian Prairies using convection-permitting climate models Y. Hwang et al. 10.1016/j.atmosres.2023.106922
57. Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin F. Jiang et al. 10.3390/atmos14101497
58. Asymmetric effects of hydroclimate extremes on eastern US tree growth: Implications on current demographic shifts and climate variability J. Maxwell et al. 10.1111/gcb.17474
59. Increasing Hurricane Intensification Rate Near the US Atlantic Coast K. Balaguru et al. 10.1029/2022GL099793
60. Climatological features of future mesoscale convective systems in convection‐permitting climate models using CMIP6 and ERA5 in the central United States Y. Hwang et al. 10.1002/qj.4549
61. Accuracy of historical precipitation from CMIP6 global climate models under diversified climatic features over India G. Patel et al. 10.1016/j.envdev.2024.100998
62. Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions A. Kuchar et al. 10.5194/wcd-5-895-2024
63. Assessment of extreme rainfall events over the Indian subcontinent during the historical and future projection periods based on CMIP6 simulations P. Suthinkumar et al. 10.1002/joc.8314
64. Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
65. Simulation of Possible Future Climate Changes in the 21st Century in the INM-CM5 Climate Model E. Volodin & A. Gritsun 10.1134/S0001433820030123
66. Comment on “The Impact of Recent Forcing and Ocean Heat Uptake Data on Estimates of Climate Sensitivity” K. Cowtan & P. Jacobs 10.1175/JCLI-D-18-0316.1