182 citations as recorded by crossref.

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6. Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs X. Li et al. 10.1007/s00382-023-06781-z
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10. SPATIOTEMPORAL PROJECTIONS OF EXTREME TEMPERATURE INDICES OVER ALGERIA USING CMIP6-GLOBAL CLIMATE MODELS S. SAHABI-ABED & A. NOUR-EL-ISLAM SELMANE 10.1142/S2630534823300026
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12. Evaluating the skills of the CMIP5 global climate models using multicriteria decision-making analysis in Ethiopia E. Tesfaye et al. 10.1016/j.heliyon.2023.e20320
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14. Evaluation of Historical CMIP6 Model Simulations of Seasonal Mean Temperature over Pakistan during 1970–2014 R. Karim et al. 10.3390/atmos11091005
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18. Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century S. Kamworapan et al. 10.1016/j.heliyon.2021.e08263
19. Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide A. Elshall et al. 10.3389/feart.2022.786223
20. Data-driven optimization of coastal sea level monitoring: Leveraging known patterns for enhanced reconstruction E. Kartal et al. 10.1016/j.rsma.2024.103878
21. Uncertainty Analysis of Monthly Precipitation in GCMs Using Multiple Bias Correction Methods under Different RCPs Y. Song et al. 10.3390/su12187508
22. Observed and Coupled Model Intercomparison Project 6 multimodel simulated changes in near‐surface temperature properties over Ghana during the 20th century C. Oduro et al. 10.1002/joc.7439
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24. Large-sample study of uncertainty of hydrological model components over North America M. Troin et al. 10.1016/j.jhydrol.2022.127766
25. Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey S. Giannakidou et al. 10.1016/j.iot.2024.101171
26. Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey S. Bağçaci et al. 10.1016/j.atmosres.2021.105576
27. Temporal and spatial evolutionary trends of regional extreme precipitation under different emission scenarios: Case study of the Jialing River Basin, China S. Zhang et al. 10.1016/j.jhydrol.2023.129156
28. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change? Q. Huang et al. 10.1016/j.catena.2023.107650
29. Risk from future climate change to Pakistan's protected area network: A composite analysis for hotspot identification M. Siddique & J. García Molinos 10.1016/j.scitotenv.2024.169948
30. Can We Integrate Spatial Verification Methods into Neural Network Loss Functions for Atmospheric Science? R. Lagerquist & I. Ebert-Uphoff 10.1175/AIES-D-22-0021.1
31. Assessing future changes in flood frequencies under CMIP6 climate projections using SWAT modeling: a case study of Bitlis Creek, Turkey E. Yalcin 10.2166/wcc.2024.646
32. Selection of optimum GCMs through Bayesian networks for developing improved machine learning based multi-model ensembles of precipitation and temperature P. Das & K. Chanda 10.1007/s00477-024-02856-3
33. Using CNN framework to improve multi-GCM ensemble predictions of monthly precipitation at local areas: An application over China and comparison with other methods L. Sun et al. 10.1016/j.jhydrol.2023.129866
34. Performance-Based Evaluation of CMIP5 and CMIP6 Global Climate Models and Their Multi-Model Ensembles to Simulate and Project Seasonal and Annual Climate Variables in the Chungcheong Region of South Korea B. Adelodun et al. 10.3390/atmos14101569
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38. Performance assessment of general circulation models: application of compromise programming method and global performance indicator technique B. Deepthi & B. Sivakumar 10.1007/s00477-021-02124-8
39. Assessment of climate change impact and adaptation strategy for millet in the Sudano-Sahelian region of Niger A. Tofa et al. 10.1007/s10113-024-02313-5
40. Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis A. Ghumman et al. 10.1007/s12517-020-05881-y
41. Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran) F. Zebarjadian et al. 10.1002/joc.8458
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43. Projection of climate change impacts on extreme temperature and precipitation in Central Poland B. Ghazi et al. 10.1038/s41598-023-46199-5
44. The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production J. Rajbanshi & S. Das 10.1016/j.jhydrol.2021.126845
45. Unravelling the influence of subjectivity on ranking of CMIP6 based climate models: A case study S. Anil et al. 10.1002/joc.7164
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47. Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region G. Ferreiro-Lera et al. 10.3390/rs16111831
48. Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al. 10.1002/joc.8117
49. Selection of climate simulations for climate change impact studies: case study of the Souss watershed, Morocco M. Meliho et al. 10.1007/s00704-025-05353-x
50. Trends and variability in snowmelt in China under climate change Y. Yang et al. 10.5194/hess-26-305-2022
51. Climate Change Affects the Utilization of Light and Heat Resources in Paddy Field on the Songnen Plain, China E. Zheng et al. 10.3390/agriculture12101648
52. Improving Urban Flood Resilience under Climate Change Scenarios in a Tropical Watershed Using Low-Impact Development Practices T. Mattos et al. 10.1061/(ASCE)HE.1943-5584.0002143
53. Diagnosis of GCM-RCM-driven rainfall patterns under changing climate through the robust selection of multi-model ensemble and sub-ensembles S. Gaur et al. 10.1007/s10584-022-03475-z
54. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. 10.1016/j.ejrh.2023.101533
55. Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations A. Samantaray et al. 10.5194/gmd-17-3321-2024
56. Projecting and Downscaling Future Temperature and Precipitation Based on CMIP6 Models Using Machine Learning in Hatay Province, Türkiye M. Ozbuldu & A. Irvem 10.1007/s00024-024-03656-0
57. Refining projected multidecadal hydroclimate uncertainty in East-Central Europe using CMIP5 and single-model large ensemble simulations D. Topál et al. 10.1007/s00704-020-03361-7
58. Comparison of CMIP6 and CMIP5 model performance in simulating historical precipitation and temperature in Bangladesh: a preliminary study M. Kamruzzaman et al. 10.1007/s00704-021-03691-0
59. GCM selection and temperature projection of Nigeria under different RCPs of the CMIP5 GCMS M. Shiru et al. 10.1007/s00704-020-03274-5
60. Assessment of CMIP6 models and multi-model averaging for temperature and precipitation over Iran N. Azad & A. Ahmadi 10.1038/s41598-024-74789-4
61. Assessing Pathways of Climate Change Effects in SpaDES: An Application to Boreal Landbirds of Northwest Territories Canada T. Micheletti et al. 10.3389/fevo.2021.679673
62. Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye M. Şan et al. 10.1016/j.scitotenv.2023.168641
63. Evaluating Variations in Tropical Cyclone Precipitation in Eastern Mexico Using Machine Learning Techniques L. Zhu & P. Aguilera 10.1029/2021JD034604
64. Exploring the future hydropower production of a run-of-river type plant in the source region of the Tigris Basin (Türkiye) under CMIP6 scenarios E. Yalçın 10.58559/ijes.1491603
65. A simple method of bias correction for GCM derived streamflow at catchment scale S. Islam et al. 10.1080/02626667.2023.2218036
66. Evaluation of precipitation simulations in CMIP6 models over Uganda H. Ngoma et al. 10.1002/joc.7098
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68. Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression H. Zhang et al. 10.3390/ijgi11020101
69. Projected Changes in Precipitation Based on the CMIP6 Optimal Multi-Model Ensemble in the Pearl River Basin, China M. He et al. 10.3390/rs15184608
70. Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al. 10.5194/esd-15-735-2024
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72. Modelling and mapping the current and future potential habitats of the Algero-Tunisian endemic newt Pleurodeles nebulosus under climate change H. Achour & M. Kalboussi 10.1007/s10344-020-01386-x
73. Projected Discharge of Dudhnai River: A Tributary of the Brahmaputra River W. Singh et al. 10.1007/s12524-023-01767-0
74. Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change V. Kartal 10.1002/hyp.15204
75. Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia Z. Iqbal et al. 10.1016/j.atmosres.2021.105525
76. Offshore wind-driven green hydrogen: Bridging environmental sustainability and economic viability D. Guven 10.1016/j.ijhydene.2024.05.335
77. Assessing the resilience of stormwater ponds under climate change: A case study on Grace Lake, Florida, unveiling flood control and water quality implications R. Davtalab et al. 10.1016/j.jhydrol.2024.130987
78. Deciphering the projected changes in CMIP-6 based precipitation simulations over the Krishna River Basin S. Anil & P. Anand Raj 10.2166/wcc.2022.399
79. Changes in aridity and its impact on agricultural lands in East Asia for 1.5 and 2.0 °C temperature rise scenarios G. Ziarh et al. 10.1016/j.atmosres.2023.106920
80. Climate change impact on major crop yield and water footprint under CMIP6 climate projections in repeated drought and flood areas in Thailand N. Arunrat et al. 10.1016/j.scitotenv.2021.150741
81. Quantifying climate change impacts on hydropower production under CMIP6 multi-model ensemble projections using SWAT model E. Yalcin 10.1080/02626667.2023.2245815
82. Understanding the Climate Change and Land Use Impact on Streamflow in the Present and Future under CMIP6 Climate Scenarios for the Parvara Mula Basin, India U. Mohseni et al. 10.3390/w15091753
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84. A hybrid model to predict the hydrological drought in the Tarim River Basin based on CMIP6 N. Zhu 10.1007/s00382-023-06791-x
85. Characteristics of wind speeds and outdoor thermal sensation considering the effect of wind speeds: An analysis based on hourly data from 1995 to 2021 in Poland D. Sachindra & M. Nowosad 10.1002/joc.7880
86. Application of CHIRPS dataset in the selection of rain-based indices for drought assessments in Johor River Basin, Malaysia Z. Sa'adi et al. 10.1016/j.scitotenv.2023.164471
87. Temperature and precipitation projections from CMIP6 for the Setif high plains in Northeast Algeria C. Chetioui & T. Bouregaa 10.1007/s12517-024-11854-2
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