Articles | Volume 9, issue 4
https://doi.org/10.5194/esd-9-1235-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-9-1235-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simulation of observed climate changes in 1850–2014 with climate model INM-CM5
Evgeny Volodin
CORRESPONDING AUTHOR
Institute for Numerical Mathematics, INM RAS, Gubkina 8, Moscow 119333, Russia
Andrey Gritsun
Institute for Numerical Mathematics, INM RAS, Gubkina 8, Moscow 119333, Russia
Viewed
Total article views: 12,675 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 May 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
8,024 | 4,579 | 72 | 12,675 | 117 | 88 |
- HTML: 8,024
- PDF: 4,579
- XML: 72
- Total: 12,675
- BibTeX: 117
- EndNote: 88
Total article views: 11,499 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Oct 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
7,596 | 3,839 | 64 | 11,499 | 112 | 84 |
- HTML: 7,596
- PDF: 3,839
- XML: 64
- Total: 11,499
- BibTeX: 112
- EndNote: 84
Total article views: 1,176 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 May 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
428 | 740 | 8 | 1,176 | 5 | 4 |
- HTML: 428
- PDF: 740
- XML: 8
- Total: 1,176
- BibTeX: 5
- EndNote: 4
Viewed (geographical distribution)
Total article views: 12,675 (including HTML, PDF, and XML)
Thereof 9,787 with geography defined
and 2,888 with unknown origin.
Total article views: 11,499 (including HTML, PDF, and XML)
Thereof 8,749 with geography defined
and 2,750 with unknown origin.
Total article views: 1,176 (including HTML, PDF, and XML)
Thereof 1,038 with geography defined
and 138 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
50 citations as recorded by crossref.
- Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
- Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion S. Emelina et al. 10.1134/S0001433823040059
- 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
- 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
- Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
- 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
- Seasonal advance of intense tropical cyclones in a warming climate K. Shan et al. 10.1038/s41586-023-06544-0
- Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. 10.1029/2023GL103381
- 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
- Projecting Global Mean Sea‐Level Change Using CMIP6 Models T. Hermans et al. 10.1029/2020GL092064
- 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
- Arctic Seasonal Variability and Extremes, and the Role of Weather Systems in a Changing Climate K. Hartmuth et al. 10.1029/2022GL102349
- Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea S. Kim & S. Kim 10.2139/ssrn.4171639
- Future Changes in Temperature and Precipitation over Northeastern Brazil by CMIP6 Model L. Dantas et al. 10.3390/w14244118
- Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé 10.5194/os-17-59-2021
- 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
- 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
- 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
- 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
- How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. 10.5194/acp-22-2095-2022
- Constraining CMIP6 estimates of Arctic Ocean temperature and salinity in 2025-2055 H. Langehaug et al. 10.3389/fmars.2023.1211562
- Ensemble-based statistical verification of INM RAS Earth system model M. Tarasevich et al. 10.1515/rnam-2023-0014
- On the simulations of latent heat flux over the Indian Ocean in CMIP6 models S. Mohan & R. Ruchith 10.1007/s00382-023-06871-y
- Dynamic Meteorology Research in Russia, 2015–2018 M. Kurgansky & V. Krupchatnikov 10.1134/S0001433819060070
- 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
- Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy K. Tokarska et al. 10.1038/s41561-019-0493-5
- Russian Climate Research in 2015–2018 I. Mokhov 10.1134/S0001433820040064
- 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
- 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
- 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
- Future transition in climate extremes over Western Ghats of India based on CMIP6 models S. Shetty et al. 10.1007/s10661-023-11090-3
- Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios X. Li & Z. Li 10.1002/joc.7559
- Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
- Projected Changes of Surface Winds Over the Antarctic Continental Margin J. Neme et al. 10.1029/2022GL098820
- 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
- The Southern Annular Mode in 6th Coupled Model Intercomparison Project Models O. Morgenstern 10.1029/2020JD034161
- 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
- Climatically Driven Minimum of Energy Demand for Heating in Cities at the Center of the European Part of Russia G. Alexandrov 10.1134/S000143382006002X
- Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea S. Kim & S. Kim 10.2139/ssrn.4088352
- 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
- Hydrological Intensification Will Increase the Complexity of Water Resource Management D. Ficklin et al. 10.1029/2021EF002487
- 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
- Climatological features of future MCSs over the Canadian Prairies using convection-permitting climate models Y. Hwang et al. 10.1016/j.atmosres.2023.106922
- Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin F. Jiang et al. 10.3390/atmos14101497
- Increasing Hurricane Intensification Rate Near the US Atlantic Coast K. Balaguru et al. 10.1029/2022GL099793
- 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
- 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
- Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
- Simulation of Possible Future Climate Changes in the 21st Century in the INM-CM5 Climate Model E. Volodin & A. Gritsun 10.1134/S0001433820030123
- 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
50 citations as recorded by crossref.
- Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
- Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion S. Emelina et al. 10.1134/S0001433823040059
- 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
- 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
- Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
- 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
- Seasonal advance of intense tropical cyclones in a warming climate K. Shan et al. 10.1038/s41586-023-06544-0
- Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. 10.1029/2023GL103381
- 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
- Projecting Global Mean Sea‐Level Change Using CMIP6 Models T. Hermans et al. 10.1029/2020GL092064
- 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
- Arctic Seasonal Variability and Extremes, and the Role of Weather Systems in a Changing Climate K. Hartmuth et al. 10.1029/2022GL102349
- Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea S. Kim & S. Kim 10.2139/ssrn.4171639
- Future Changes in Temperature and Precipitation over Northeastern Brazil by CMIP6 Model L. Dantas et al. 10.3390/w14244118
- Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé 10.5194/os-17-59-2021
- 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
- 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
- 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
- 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
- How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. 10.5194/acp-22-2095-2022
- Constraining CMIP6 estimates of Arctic Ocean temperature and salinity in 2025-2055 H. Langehaug et al. 10.3389/fmars.2023.1211562
- Ensemble-based statistical verification of INM RAS Earth system model M. Tarasevich et al. 10.1515/rnam-2023-0014
- On the simulations of latent heat flux over the Indian Ocean in CMIP6 models S. Mohan & R. Ruchith 10.1007/s00382-023-06871-y
- Dynamic Meteorology Research in Russia, 2015–2018 M. Kurgansky & V. Krupchatnikov 10.1134/S0001433819060070
- 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
- Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy K. Tokarska et al. 10.1038/s41561-019-0493-5
- Russian Climate Research in 2015–2018 I. Mokhov 10.1134/S0001433820040064
- 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
- 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
- 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
- Future transition in climate extremes over Western Ghats of India based on CMIP6 models S. Shetty et al. 10.1007/s10661-023-11090-3
- Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios X. Li & Z. Li 10.1002/joc.7559
- Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
- Projected Changes of Surface Winds Over the Antarctic Continental Margin J. Neme et al. 10.1029/2022GL098820
- 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
- The Southern Annular Mode in 6th Coupled Model Intercomparison Project Models O. Morgenstern 10.1029/2020JD034161
- 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
- Climatically Driven Minimum of Energy Demand for Heating in Cities at the Center of the European Part of Russia G. Alexandrov 10.1134/S000143382006002X
- Optimization of the Design of an Agrophotovoltaic System in Future Climate Conditions in South Korea S. Kim & S. Kim 10.2139/ssrn.4088352
- 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
- Hydrological Intensification Will Increase the Complexity of Water Resource Management D. Ficklin et al. 10.1029/2021EF002487
- 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
- Climatological features of future MCSs over the Canadian Prairies using convection-permitting climate models Y. Hwang et al. 10.1016/j.atmosres.2023.106922
- Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin F. Jiang et al. 10.3390/atmos14101497
- Increasing Hurricane Intensification Rate Near the US Atlantic Coast K. Balaguru et al. 10.1029/2022GL099793
- 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
- 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
- Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
- Simulation of Possible Future Climate Changes in the 21st Century in the INM-CM5 Climate Model E. Volodin & A. Gritsun 10.1134/S0001433820030123
- 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
Discussed (final revised paper)
Latest update: 18 Apr 2024
Short summary
Climate changes of 1850–2014 are modeled with the climate model INM-CM5. Periods of fast warming in 1920–1940 and 1980–2000 as well as its slowdown in 1950–1975 and 2000–2014 are correctly reproduced by the model. The notable improvement with respect to the previous model version is the correct reproduction of slowdowns in global warming that we attribute to a new aerosol block in the model and a more accurate description of the solar constant in the new (CMIP6) IPCC protocol.
Climate changes of 1850–2014 are modeled with the climate model INM-CM5. Periods of fast warming...
Altmetrics
Final-revised paper
Preprint