Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall

An Overview of CMIP5 and the Experiment Design

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Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

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A dipole mode in the tropical Indian Ocean

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The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

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On the Weakening Relationship Between the Indian Monsoon and ENSO

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High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6

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Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1

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The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6

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Spatiotemporal changes in rainfall and droughts of Bangladesh for1.5 and 2 °C temperature rise scenarios of CMIP6 models

Kamal, A. S. M. M., Hossain, F., & Shahid, S. (2021) · Theoretical and Applied Climatology · doi:10.1007/s00704-021-03735-5 · Cited by 36

How do CMIP6 models project changes in precipitation extremes over seasons and locations across the mid hills of Nepal?

Chhetri, R., Pandey, V. P., Talchabhadel, R., & Thapa, B. R. (2021) · Theoretical and Applied Climatology · doi:10.1007/s00704-021-03698-7 · Cited by 36

Hydrological assessment of the Tungabhadra River Basin based on CMIP6 GCMs and multiple hydrological models

Rudraswamy, G. K., Manikanta, V., & Umamahesh, N. V. (2023) · Journal of Water and Climate Change · doi:10.2166/wcc.2023.272 · Cited by 35

Multi-criteria evaluation of CMIP6 precipitation and temperature simulations over Iran

Zabihi, O., & Ahmadi, A. (2024) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2024.101707 · Cited by 35

Interdecadal modulation of interannual ENSO‐Indian summer monsoon rainfall teleconnections in observations and CMIP6 models: Regional patterns

Mahendra, N., Chowdary, J. S., Darshana, P., Sunitha, P. S., Parekh, A., & Gnanaseelan, C. (2020) · International Journal of Climatology · doi:10.1002/joc.6973 · Cited by 35

Future Changes in Precipitation Over Northern Europe Based on a Multi-model Ensemble from CMIP6: Focus on Tana River Basin

Moradian, S., Haghighi, A. T., Asadi, M., & Mirbagheri, S. A. (2022) · Water Resources Management · doi:10.1007/s11269-022-03272-4 · Cited by 36

Future Köppen-Geiger climate zones over Southeast Asia using CMIP6 Multimodel Ensemble

Hamed, M. M., Nashwan, M. S., Shahid, S., Wang, X., Ismail, T., Dewan, A. M., & Asaduzzaman, M. (2022) · Atmospheric Research · doi:10.1016/j.atmosres.2022.106560 · Cited by 35

Updating the intensity-duration-frequency curves in major Canadian cities under changing climate using CMIP5 and CMIP6 model projections

Crévolin, V., Hassanzadeh, E., & Bourdeau-Goulet, S.-C. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104473 · Cited by 36

Population exposure to drought severities under shared socioeconomic pathways scenarios in India.

Das, J., Das, S., & Umamahesh, N. (2023) · Science of the Total Environment · doi:10.1016/j.scitotenv.2023.161566 · Cited by 24

Evaluation of multidimensional simulations of summer air temperature in China from CMIP5 to CMIP6 by the BCC models: From trends to modes

Liu, Y.-W., Zhao, L., Tan, G., Shen, X., Nie, S., Li, Q., & ZHANG, L. (2021) · Advances in Climate Change Research · doi:10.1016/j.accre.2021.12.001 · Cited by 33

Projected increase in widespread riverine floods in India under a warming climate

Nanditha, J. S., & Mishra, V. K. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.130734 · Cited by 36

Spatio‐temporal analysis of copula‐based probabilistic multivariate drought index using CMIP6 model

Dixit, S., & Jayakumar, K. V. (2021) · International Journal of Climatology · doi:10.1002/joc.7469 · Cited by 33

South Asian summer rainfall from CMIP3 to CMIP6 models: biases and improvements

He, L., Zhou, T., & Chen, X. (2022) · Climate Dynamics · doi:10.1007/s00382-022-06542-4 · Cited by 33

Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China

Li, Z., Liu, W., Ye, T., Chen, S., & Shan, H. (2022) · Weather and Climate Extremes · doi:10.1016/j.wace.2022.100503 · Cited by 32

The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India

Shetty, S., Umesh, P., & Shetty, A. (2023) · International Journal of Climatology · doi:10.1002/joc.8131 · Cited by 34

Future projections of extreme rainfall events in Indonesia

Kurniadi, A., Weller, E., Salmond, J., & Aldrian, E. (2023) · International Journal of Climatology · doi:10.1002/joc.8321 · Cited by 32

Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model

Dixit, S., Atla, B. M., & Jayakumar, K. V. (2022) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-022-02230-1 · Cited by 32

Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia

Song, S., Zhang, X., Gao, Z., & Yan, X. (2022) · Climate Dynamics · doi:10.1007/s00382-022-06465-0 · Cited by 34

Application of Boruta algorithms as a robust methodology for performance evaluation of CMIP6 general circulation models for hydro-climatic studies

Lawal, I. M., Bertram, D., White, C. J., Kutty, S. R. M., Hassan, I. T. M., & Jagaba, A. H. (2023) · Theoretical and Applied Climatology · doi:10.1007/s00704-023-04466-5 · Cited by 32

The Impacts of Global Warming on Climate Zone Changes Over Asia Based on CMIP6 Projections

Kim, J., & Bae, D. (2021) · Earth and Space Science · doi:10.1029/2021ea001701 · Cited by 31

Projected urban exposure to extreme precipitation over South Asia

Mondal, S. K., Wang, Y., Zhai, J., Su, B., Jiang, S., Huang, J., Jing, C., Lin, Q., Zhou, J., Gao, M., et al. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.153664 · Cited by 31

Temporal and spatial evolutionary trends of regional extreme precipitation under different emission scenarios: Case study of the Jialing River Basin, China

Zhang, S., Li, W., An, W., Hou, J., Hou, X., Tang, C., & Gan, Z. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129156 · Cited by 31

Intensification of Extreme Rainfall in Indian River Basin: Using Bias Corrected CMIP6 Climate Data

Chaubey, P. K., & Mall, R. K. (2023) · Earth s Future · doi:10.1029/2023ef003556 · Cited by 35

Changes in physical characteristics of extreme rainfall events during the Indian summer monsoon based on downscaled and bias-corrected CMIP6 models

Varghese, S. J., Sreenivas, P., Thadivalasa, P., Podapati, G. K., & Ashok, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-87949-x · Cited by 30

Evaluation and selection of CMIP6 GCMs for long-term hydrological projections based on spatial performance assessment metrics across South Korea

Huong, N. T., Kim, Y., & Kwon, H. (2023) · Journal of Water and Climate Change · doi:10.2166/wcc.2023.021 · Cited by 29

Future changes in global rainfall erosivity: Insights from the precipitation changes

Chen, Y., Wei, T., Li, J., Xin, Y., & Ding, M. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131435 · Cited by 29

Integrating groundwater irrigation into hydrological simulation of India: Case of improving model representation of anthropogenic water use impact using GRACE

Xie, H., Longuevergne, L., Ringler, C., & Scanlon, B. R. (2020) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2020.100681 · Cited by 29

Assessment of the Future Impact of Climate Change on the Hydrology of the Mangoky River, Madagascar Using ANN and SWAT

Tanteliniaina, M. F. R., Rahaman, M. H., & Zhai, J. (2021) · Water · doi:10.3390/w13091239 · Cited by 29

Replicability of Annual and Seasonal Precipitation by CMIP5 and CMIP6 GCMs over East Asia

Shiru, M. S., Shahid, S., Chae, S. T., & Chung, ‪. (2022) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-022-0992-6 · Cited by 29

Performance evaluations of CMIP6 and CMIP5 models for precipitation simulation over the Hanjiang River Basin, China

Wang, D., Liu, J., Wang, H. E., Shao, W., Mei, C., & Ding, X. (2022) · Journal of Water and Climate Change · doi:10.2166/wcc.2022.402 · Cited by 29

Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways

Das, S., & Jain, M. K. (2023) · CATENA · doi:10.1016/j.catena.2023.107417 · Cited by 28

Unraveling the global teleconnections of Indian summer monsoon clouds: expedition from CMIP5 to CMIP6

Dutta, U., Hazra, A., Chaudhari, H. S., Saha, S. K., Pokhrel, S., & Verma, U. (2022) · Global and Planetary Change · doi:10.1016/j.gloplacha.2022.103873 · Cited by 28

Evaluation of Present-Day CMIP6 Model Simulations of Extreme Precipitation and Temperature over the Australian Continent

Nishant, N., Virgilio, G. D., Ji, F., Tam, E., Beyer, K., & Riley, M. (2022) · Atmosphere · doi:10.3390/atmos13091478 · Cited by 29

Future Land Use and Flood Risk Assessment in the Guanzhong Plain, China: Scenario Analysis and the Impact of Climate Change

Luo, P., Wang, X., Zhang, L., Zainol, M. R. R. M. A., Duan, W., Hu, M., Guo, B., Zhang, Y., Wang, Y., & Nover, D. M. (2023) · Remote Sensing · doi:10.3390/rs15245778 · Cited by 28

CMIP6 Model Evaluation for Mean and Extreme Precipitation Over India

Kushwaha, P., Pandey, V. K., Kumar, P., & Sardana, D. (2024) · Pure and Applied Geophysics · doi:10.1007/s00024-023-03409-5 · Cited by 28

Bias correction of CMIP6 simulations of precipitation over Indian monsoon core region using deep learning algorithms

Kesavavarthini, T., Rajesh, A. N., Srinivas, C. V., & Kumar, T. V. L. (2023) · International Journal of Climatology · doi:10.1002/joc.8056 · Cited by 26

Streamflow projections under climate change framework for the Mahanadi River catchment, India

Sahu, R. T., Turkane, S. D., & Rathnayake, U. (2025) · Journal of Water and Climate Change · doi:10.2166/wcc.2025.693 · Cited by 26

Variations in start date, end date, frequency and intensity of yearly temperature extremes across China during the period 1961–2017

Han, J., Miao, C., Duan, Q., Wu, J., Lei, X., & Liao, W. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab7390 · Cited by 25

Future Changes in Simulated Evapotranspiration across Continental Africa Based on CMIP6 CNRM-CM6

Nooni, I. K., Hagan, D. F. T., Wang, G., Ullah, W., Lu, J., Li, S., Dzakpasu, M., Prempeh, N. A., & Sian, K. T. C. L. K. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18136760 · Cited by 26

Future Changes in Precipitation Extremes Over Iran: Insight from a CMIP6 Bias-Corrected Multi-Model Ensemble

Zarrin, A., Dadashi-Roudbari, A., & Hassani, S. (2021) · Pure and Applied Geophysics · doi:10.1007/s00024-021-02904-x · Cited by 26

The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6 models

Zhang, Y., Hu, X., Zhang, Z., Kong, R., Peng, Z., Zhang, Q., & Chen, X. (2023) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-023-02406-3 · Cited by 27

How to Choose the Most Proper Representative Climate Model Over a Study Region? a Case Study of Precipitation Simulations in Ireland with NEX-GDDP-CMIP6 Data

Moradian, S., Coleman, L. F., Kaźmierczak, B., & Olbert, A. I. (2023) · Water Resources Management · doi:10.1007/s11269-023-03665-z · Cited by 26

India’s Riverine Nitrogen Runoff Strongly Impacted by Monsoon Variability

Sinha, E., Michalak, A. M., Balaji, V., & Resplandy, L. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c01274 · Cited by 25

Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change

Kartal, V. (2024) · Hydrological Processes · doi:10.1002/hyp.15204 · Cited by 25

Trends, variability, and teleconnections of long-term rainfall in the Terai region of India

Sah, S., SINGH, R. N., Chaturvedi, G., & Das, B. (2020) · Theoretical and Applied Climatology · doi:10.1007/s00704-020-03421-y · Cited by 25

Future extreme precipitation changes in the South Asian Summer Monsoon Dominance Region

Deegala, D., Song, Y. H., Chung, ‪., Ayugi, B. O., & Shahid, S. (2023) · Atmospheric Research · doi:10.1016/j.atmosres.2023.107029 · Cited by 26

A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan

Ali, Z., Hamed, M. M., Muhammad, M. K. I., & Shahid, S. (2024) · International Journal of Climatology · doi:10.1002/joc.8346 · Cited by 24

Interdecadal and interannual evolution characteristics of the global surface precipitation anomaly shown by CMIP5 and CMIP6 models

Zhu, Y., & Yang, S. (2020) · International Journal of Climatology · doi:10.1002/joc.6756 · Cited by 24

Multi-Model Ensemble Machine Learning Approaches to Project Climatic Scenarios in a River Basin in the Pyrenees

Bilbao-Barrenetxea, N., Martínez‐España, R., Jimeno‐Sáez, P., Faria, S. H., & Senent‐Aparicio, J. (2024) · Earth Systems and Environment · doi:10.1007/s41748-024-00408-x · Cited by 23

Assessment of Climate Change Impacts on the Hydroclimatic Response in Burundi Based on CMIP6 ESMs

Kim, J., Habimana, J. D. D., Kim, S., & Bae, D. (2021) · Sustainability · doi:10.3390/su132112037 · Cited by 23

Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios

Li, X., & Li, Z. (2022) · International Journal of Climatology · doi:10.1002/joc.7559 · Cited by 25

Understanding CMIP6 biases in the representation of the Greater Horn of Africa long and short rains

Schwarzwald, K., Goddard, L., Seager, R., Ting, M., & Marvel, K. (2022) · Climate Dynamics · doi:10.1007/s00382-022-06622-5 · Cited by 23

Changes in the ground surface temperature in permafrost regions along the Qinghai–Tibet engineering corridor from 1900 to 2014: A modified assessment of CMIP6

Xing, Z., Zhao, L., Fan, L., Hu, G., Zou, D., Wang, C., Liu, S., Du, E., Xiao, Y., Li, R., et al. (2023) · Advances in Climate Change Research · doi:10.1016/j.accre.2023.01.007 · Cited by 23

Future changes of summer monsoon rainfall and temperature over Bangladesh using 27 CMIP6 models

Bhattacharjee, A., Hassan, S. M. Q., Hazra, P., Kormoker, T., Islam, S., Alam, E., Islam, M. K., & Islam, A. R. M. T. (2023) · Geocarto International · doi:10.1080/10106049.2023.2285342 · Cited by 24

Summary of a workshop on extreme weather events in a warming world organized by the Royal Swedish Academy of Sciences

Chen, D., Rodhe, H., Emanuel, K., Seneviratne, S. I., Zhai, P., Allard, B., Berg, P., Björck, S., Brown, I. A., Bärring, L., et al. (2020) · Tellus B · doi:10.1080/16000889.2020.1794236 · Cited by 23

Multi-model ensemble bias-corrected precipitation dataset and its application in identification of drought-flood abrupt alternation in China

Liu, T., Zhu, X., Tang, M., Guo, C., & Lu, D. (2024) · Atmospheric Research · doi:10.1016/j.atmosres.2024.107481 · Cited by 22

Dynamic land cover and ecosystem service changes in global coastal deltas under future climate scenarios

Wu, S., Guo, Z., Akida, A., Li, X., Hu, Y., Li, H., & Saria, A. E. (2024) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2024.107384 · Cited by 22

On the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 models

Norgate, M., Tiwari, P. R., Das, S., & Kumar, D. (2024) · Climate Dynamics · doi:10.1007/s00382-024-07389-7 · Cited by 22

Seasonal meteorological drought projections over Iran using the NMME data

Moradian, S., & Yazdandoost, F. (2021) · Natural Hazards · doi:10.1007/s11069-021-04721-w · Cited by 22

Compound dry and hot extremes: A review and future research pathways for India

Guntu, R. K., & Agarwal, A. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131199 · Cited by 23

Comparison of Projections of Precipitation over Yangtze River Basin of China by Different Climate Models

Pan, H., Jin, Y., & Zhu, X. (2022) · Water · doi:10.3390/w14121888 · Cited by 21

Future changes in extreme precipitation from 1.0 °C more warming in the Tienshan Mountains, Central Asia

Zhang, X., Chen, Y., Fang, G., Xia, Z., Yang, Y., Duan, W., Xia, Q., & Li, S. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128269 · Cited by 22

Climate impact emergence and flood peak synchronization projections in the Ganges, Brahmaputra and Meghna basins under CMIP5 and CMIP6 scenarios

Gädeke, A., Wortmann, M., Menz, C., Islam, A., Masood, M., Krysanova, V., Lange, S., & Hattermann, F. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac8ca1 · Cited by 21

Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios

Soni, A. K., Tripathi, J. N., Tewari, M., Sateesh, M., & Singh, T. (2023) · Atmosphere · doi:10.3390/atmos14040725 · Cited by 21

Evaluating Future Streamflow Patterns under SSP245 Scenarios: Insights from CMIP6

Haleem, K., Khan, A. U., Khan, J., Ghanim, A. A. J., & Al‐Areeq, A. M. (2023) · Sustainability · doi:10.3390/su152216117 · Cited by 21

Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin ( Western Iran )

Zebarjadian, F., Dolatabadi, N., Zahraie, B., Sohi, H. Y., & Zandi, O. (2024) · International Journal of Climatology · doi:10.1002/joc.8458 · Cited by 21

Multi criteria evaluation of downscaled CMIP6 models in predicting precipitation extremes

Gupta, R., Prakash, P., & Chembolu, V. (2025) · Atmospheric Research · doi:10.1016/j.atmosres.2025.107921 · Cited by 21

Modeling of historical and future changes in temperature and precipitation in the Panj River Basin in Central Asia under the CMIP5 RCP and CMIP6 SSP scenarios

Gulakhmadov, A., Chen, X., Gulahmadov, N., Rizwan, M., Gulakhmadov, M., Nadeem, M. U., Rakhimova, M., & Liu, T. (2025) · Scientific Reports · doi:10.1038/s41598-025-86366-4 · Cited by 20

Projection on precipitation frequency of different intensities and precipitation amount in the Lancang-Mekong River basin in the 21st century

Sun, C., Xiao, Z., & Nguyen, M. N. (2021) · Advances in Climate Change Research · doi:10.1016/j.accre.2021.03.001 · Cited by 21

Evaluating the Effects of Climate Change on Thermal Bioclimatic Indices in a Tropical Region Using Climate Projections from the Bias-Corrected CMIP6 Model

Kamruzzaman, M., Islam, H. M. T., Ahmed, S., Bhattacharjya, D. K., Khan, M. S. K., Mahmud, G. I., Almazroui, M., & Shahid, S. (2023) · Earth Systems and Environment · doi:10.1007/s41748-023-00360-2 · Cited by 20

A comprehensive review on the recent changes in Indian summer monsoon rainfall and its relations with global climate drivers based on the CMIP6 simulations

Varikoden, H., George, C., Ancy, P., & Babu, C. A. (2025) · Atmospheric Research · doi:10.1016/j.atmosres.2025.108302 · Cited by 18

Spatiotemporal variation of drought in Iraq for shared socioeconomic pathways

Hamed, M. M., Sammen, S. S., Nashwan, M. S., & Shahid, S. (2022) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-022-02343-7 · Cited by 18

Projection of mean and extreme precipitation and air temperature over India: a CMIP6 analysis

Kushwaha, P., Pandey, V. K., Kumar, P., Sardana, D., & Yadav, A. (2024) · Journal of Water and Climate Change · doi:10.2166/wcc.2024.523 · Cited by 17

Performance of CMIP6 HighResMIP on the Representation of Onset and Cessation of Seasonal Rainfall in Southern West Africa

Nkrumah, F., Quagraine, K. A., Quagraine, K. T., Wainwright, C. M., Quenum, G. M. L. D., Amankwah, A., & Klutse, N. A. B. (2022) · Atmosphere · doi:10.3390/atmos13070999 · Cited by 17

Assessing the Effect of Future Climate Change on Drought Characteristics and Propagation from Meteorological to Hydrological Droughts—A Comparison of Three Indices

Sadhwani, K., & Eldho, T. I. (2023) · Water Resources Management · doi:10.1007/s11269-023-03679-7 · Cited by 20

Investigating the impact of climate change on irrigation and crop water requirements of Bhadra and Tungabhadra command area: A CMIP-6 GCMs and CROPWAT 8.0 approach

Rudraswamy, G. K., & Umamahesh, N. V. (2024) · Water Science & Technology Water Supply · doi:10.2166/ws.2024.022 · Cited by 17

Climate variability impacts on runoff projection in the 21st century based on the applicability assessment of multiple GCMs: A case study of the Lushi Basin, China

Xue, P., Zhang, C., Wen, Z., Yu, F., Park, E., & Nourani, V. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131383 · Cited by 17

Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin

Anil, S., P, A. R., & Vema, V. K. (2024) · Journal of Water and Climate Change · doi:10.2166/wcc.2024.442 · Cited by 20

Determining the impact of anthropogenic activities and climate change on landslide susceptibility for the Himalayan region

Tyagi, A., Gupta, N., Tiwari, R. K., James, N., & Chavan, S. R. (2024) · Natural Hazards · doi:10.1007/s11069-024-07011-3 · Cited by 16

Future transition in climate extremes over Western Ghats of India based on CMIP6 models

Shetty, S., Umesh, P., & Shetty, A. (2023) · Environmental Monitoring and Assessment · doi:10.1007/s10661-023-11090-3 · Cited by 16

Refined Assessment and Future Projections of Indian Summer Monsoon Rainfall Using CMIP6 Models

Li, J., Fan, L., Chen, X.-Z., Lin, C., Song, L., & Xu, J. (2023) · Water · doi:10.3390/w15244305 · Cited by 16

Lapse rate-adjusted bias correction for CMIP6 GCM precipitation data: An application to the Monsoon Asia Region

Mohanasundaram, S., Lim, S., Hosan, M. L., Shrestha, S., Babel, M. S., & Virdis, S. (2023) · Environmental Monitoring and Assessment · doi:10.1007/s10661-023-12187-5 · Cited by 18

Model Uncertainty in the Projected Indian Summer Monsoon Precipitation Change under Low-Emission Scenarios

Long, S., & Li, G. (2021) · Atmosphere · doi:10.3390/atmos12020248 · Cited by 16

Simulation and Projection of Summer Convective Afternoon Rainfall Activities over Southeast Asia in CMIP6 Models

Huang, W., Chang, Y., Deng, L., & Liu, P. (2021) · Journal of Climate · doi:10.1175/jcli-d-20-0788.1 · Cited by 16

An appraisal of seasonal precipitation dynamics over the North‐West Himalayan region under future warming scenarios

Banerjee, D., & Singh, C. (2021) · International Journal of Climatology · doi:10.1002/joc.7368 · Cited by 16

Delayed onset of the tropical Asian summer monsoon in CMIP6 can be linked to the cold bias over the Tibetan Plateau

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Inter-model robustness of the forced change of the ENSO-Indian Summer Monsoon Teleconnection

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Temporal and spatial aggregation of rainfall extremes over India under anthropogenic warming

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Obtaining refined Euro-Mediterranean rainfall projections through regional assessment of CMIP6 General Circulation Models

Ferreiro-Lera, G.-B., Penas, Á., & del Río, S. (2025) · Global and Planetary Change · doi:10.1016/j.gloplacha.2025.104725 · Cited by 18

Warming Climate and Elevated CO2 Will Enhance Future Winter Wheat Yields in North China Region

Shoukat, M. R., Cai, D., Shafeeque, M., Rahman, M. H. U., & Yan, H. (2022) · Atmosphere · doi:10.3390/atmos13081275 · Cited by 15

A post-AR6 update on observed and projected climate change in India

Dhara, C., Deshpande, A., Roxy, M. K., Dalpadado, P., & Shrestha, M. S. (2025) · PLOS Climate · doi:10.1371/journal.pclm.0000724 · Cited by 14

Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil

Pereira, B. H. F., Dereczynski, C. P., da Silva, G. C., & Marques, E. A. G. (2022) · International Journal of Climatology · doi:10.1002/joc.7773 · Cited by 14

Evaluation and future projection of the extreme precipitation over India and its homogeneous regions: A regional earth system model perspective

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A drought study in the basin of Lake Urmia under climate change scenarios with higher spatial resolution to understand the resilience of the basin

Bazzaz, P. M. P., Sadeghfam, S., Khatibi, R. H., & Nourani, V. (2024) · Journal of Water and Climate Change · doi:10.2166/wcc.2024.407 · Cited by 14

Enhancing reliability in climate projections: A novel approach for selecting global climate models

Tanimu, B., Bello, A. D., Abdullahi, S. A., Ajibike, M. A., Muhammad, M. K. I., & Shahid, S. (2024) · Physics and Chemistry of the Earth Parts A/B/C · doi:10.1016/j.pce.2024.103598 · Cited by 14

Assessing high-resolution precipitation extremes in Central Asia: evaluation and future projections

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Observations and climate models confirm precipitation pattern is changing over Nepal

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Wave climate projection in the Persian Gulf: An ensemble of statistically downscaled CMIP6-GCMs

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What Controls the Skill of General Circulation Models to Simulate the Seasonal Cycle in Water Isotopic Composition in the Tibetan Plateau Region?

Shi, X., Risi, C., Li, L., Wang, X., Pu, T., Zhang, G., Zhang, Y., Wang, Z., & Kong, Y. (2022) · Journal of Geophysical Research Atmospheres · doi:10.1029/2022jd037048 · Cited by 14

Potential changes in climate indices in Alberta under projected global warming of 1.5–5 °C

Eum, H., Fajard, B., Tang, T., & Gupta, A. (2023) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2023.101390 · Cited by 15

Evaluation of Indian Summer Monsoon Precipitation using CMIP5 and CMIP6 models

Salunke, P., & Mishra, S. K. (2022) · doi:10.5194/egusphere-egu22-11673 · Cited by 1

Improvements of CMIP6 over CMIP5 for Simulating Indian Summer Monsoon Rainfall and Indian Ocean TeleconnectionsPreprint

Yadav, A., Singh, G. P., & Kumar, P. (2026) · Research Square · doi:10.21203/rs.3.rs-10468674/v1

Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models

Katzenberger, A., Schewe, J., Pongratz, J., & Levermann, A. (2021) · Earth System Dynamics · doi:10.5194/esd-12-367-2021 · Cited by 276

Simulation of Indian summer monsoon rainfall, interannual variability and teleconnections: evaluation of CMIP6 models

Rajendran, K., Surendran, S., Varghese, S. J., & Sathyanath, A. (2021) · Climate Dynamics · doi:10.1007/s00382-021-06027-w · Cited by 77

Evaluation of CMIP6 Models' Performance on Simulation of Indian Summer Monsoon

Dubey, N., & Pathak, A. (2019) · AGU Fall Meeting Abstracts