Prediction of Future Climate Change in Yangtze River Basin by WANG Chao, LI Hao, YE Xiuhui, RONG Qinbiao

“…This article analyzed the spatio-temporal variation characteristics of future temperature, rainfall, and runoff in the Yangtze River Basin based on observational data and global climate model prediction results, combined with the Mann-Kendall trend test method and land surface water balance budget method. …”
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Urban heat island distribution, transformation, and projection (Case study: Jakarta City in 2000, 2020, and 2040) by Fabiola Candraningtyas Callista, Arkan Maulana Fikri, Suhardono Sapta

“…A 2040 projection is made using an urban climate model simulating temperature trends based on urbanization and land use patterns. …”
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Dynamic modeling of spatial-temporal characteristics of dust in south and southeastern Iran with REG-CM4 model by Motahhareh Zargari, Mahdi Boroughani, Alireza Entezari, Abbas Mofidi, Mohammad Baaghideh

“…July at Zabol station and November and December at Sirjan station have the highest and lowest dust levels, respectively. The RegCM4 climate model also shows maximum dust on the southeast, south and south coasts for different variables.…”
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Effects of Forcing Uncertainties on the Thermospheric and Ionospheric States During Geomagnetic Storm and Quiet Periods by C.‐T. Hsu, N. M. Pedatella

“…Ensemble simulations of a whole atmospheric model, the National Center for Atmospheric Research Whole Atmosphere Community Climate Model with thermosphere and ionosphere eXtension (WACCM‐X), with various kinds of forcing perturbation is used to evaluate the upper atmosphere's response to the uncertainties of different forcings. …”
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Machine Learning as a Downscaling Approach for Prediction of Wind Characteristics under Future Climate Change Scenarios by Abbas Yeganeh-Bakhtiary, Hossein EyvazOghli, Naser Shabakhty, Bahareh Kamranzad, Soroush Abolfathi

“…The developed decision tree (DT) models were employed to statistically downscale the Beijing Normal University Earth System Model (BNU-ESM) global climate model output. The M5′ models are calibrated and successfully validated against the GCM simulation results and altimeter remote sensing data. …”
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Climate Projections for South America: RegCM3 Driven by HadCM3 and ECHAM5 by Michelle Simões Reboita, Rosmeri Porfírio da Rocha, Cássia Gabriele Dias, Rita Yuri Ynoue

“…This study shows climate projections of air temperature and precipitation over South America (SA) from the Regional Climate Model version 3 (RegCM3) nested in ECHAM5 and HadCM3 global models. …”
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Future Changes in Human-Biometeorological Index Classes in Three Regions of Luxembourg, Western-Central Europe by Hanna Leona Lokys, Jürgen Junk, Andreas Krein

“…In addition, the regional differences were analysed by a single regional climate model run with a spatial resolution of 1.3 km. …”
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The Influence of Topography on East African October to December Climate: Sensitivity Experiments with RegCM4 by Bob Alex Ogwang, Haishan Chen, Xing Li, Chujie Gao

“…The influence of topography on east African climate is investigated using the International Centre for Theoretical Physics Regional Climate Model, with focus on October to December season. …”
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Impacts of Water Consumption in the Haihe Plain on the Climate of the Taihang Mountains, North China by Jing Zou, Chesheng Zhan, Ruxin Zhao, Peihua Qin, Tong Hu, Feiyu Wang

“…In this study, the RegCM4 regional climate model was employed to investigate the impacts of water consumption in the Haihe Plain on the local climate in the nearby Taihang Mountains. …”
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Statistical and SWAT Model-Based Performance Evaluation of RCMs in Modeling Streamflow and Sediment Yield at Upper Awash Sub-Basin, Ethiopia by Bekan Chelkeba Tumsa

“…The focus of this study was to evaluate the performance of the regional climate models with regard to simulating streamflow, sediment yield, precipitation, and temperatures. …”
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The Process‐Oriented Understanding on the Reduced Double‐ITCZ Bias in the High‐Resolution CESM1 by Enze Dong, Fengfei Song, Lixin Wu, Lu Dong, Shengpeng Wang, Fukai Liu, Hong Wang

“…Abstract The double‐Intertropical Convergence Zone (ITCZ) bias is a common model bias, which has puzzled the climate model community for several decades. Here, by comparing a high‐ and low‐resolution state‐of‐the‐art model CESM1, it is found that the double‐ITCZ bias is largely reduced in the high‐resolution CESM1. …”
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Regional-Scale Ozone Deposition to North-East Atlantic Waters by L. Coleman, S. Varghese, O. P. Tripathi, S. G. Jennings, C. D. O'Dowd

“…A regional climate model is used to evaluate dry deposition of ozone over the North East Atlantic. …”
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Effects of mesoscale gravity waves on sporadic E simulated by a one-dimensional dynamic model by Xu Zhou, ZeZhong Li, XinAn Yue, LiBo Liu

“…Driven by the wind fields resolved by the high-resolution version of the Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X), the MISE-1D simulation revealed that GWs significantly influence the evolution of the Es layer above 100 km but have a very limited effect at lower altitudes. …”
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Ecohydrological responses to solar radiation changes by Y. Wang, N. Meili, S. Fatichi

“…Here, we compute how changes in solar radiation affect global and local near-surface meteorological variables by using CMIP6 model results. Using climate model outputs, we compute climate sensitivities to solar radiation alterations. …”
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The Impact of Lower Atmosphere Forecast Uncertainties on WACCM‐X Prediction of Ionosphere‐Thermosphere System During Geomagnetic Storms by Wonseok Lee, In‐Sun Song, Ja Soon Shim, Guiping Liu, Geonhwa Jee

“…Abstract Impacts of lower atmosphere forecast uncertainties on the Ionosphere‐Thermosphere (IT) system are investigated using the Whole Atmosphere Community Climate Model with Thermosphere and Ionosphere eXtension (WACCM‐X) for April 2010 and March 2013 geomagnetic storms. …”
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Climate change impacts on flood risks in the Abou Ali River Basin, Lebanon: A hydrological modeling approach by Fouadi AlZaatiti, Jalal Halwani, Mohamed R. Soliman

“…This research examines the impacts of climate change on flood dynamics in the Abou Ali River Basin in Tripoli, Lebanon, utilizing three global climate models (GCMs) from the IPCC's 6th Assessment Report: ACCESS-CM2, BCCCSM2-MR, and MIROC6 under two Shared Socioeconomic Pathways (SSPs): SSP2–45 and SSP5–85. …”
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Supraglacial lake evolution and its drivers in Dronning Maud Land, East Antarctica by Anirudha Mahagaonkar, Geir Moholdt, Quentin Glaude, Thomas Vikhamar Schuler

“…We combine a detailed satellite-based record of seasonal lake evolution in Dronning Maud Land with a high-resolution simulation from the regional climate model Modèle Atmosphérique Régional to identify drivers of lake variability between 2014 and 2021. …”
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Statistical Downscaling and Projection of Future Air Temperature Changes in Yunnan Province, China by Jiaxu Liu, Sujing Chen, Lijuan Li, Jiuyi Li

“…The data were daily NCEP/NCAR reanalysis data and the daily mean climate model outputs for the RCP2.6, RCP4.5, and RCP8.5 scenarios from the MRI of Japan. …”
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Development of Downscaled Climate Projections: A Case Study of the Red River Basin, South-Central U.S. by Darrian Bertrand, Renee A. McPherson

“…Climate models provide information that resource managers, policy makers, and researchers can use when planning for the future. …”
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Monitoring the impact of global warming on wheat cultivation in the Mughan Plain (Germi) Using the atmospheric circulation model by bromand Salahi, vahid safarian zangir

“…In the present study, to monitor the effect of global warming on precipitation fluctuations, as well as in the production and cultivation of wheat crop in Moghan plain, the LARS-WG model and the HADCM3 climate model output under A1B scenario as well as climate data (minimum temperature, maximum temperature, precipitation and Daily Sunshine) The Germys station was used over a 14 year period (2004-2007).The results of the research show that by comparing the monthly mean of these parameters, this result was obtained that at confidence level 1 there is not a significant difference between the simulation data from the model and observational data in the base period and the mean The climatic parameters of the data obtained from the model and the actual data are similar and there is a high correlation between them. …”
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