STAR‐ESDM: A Generalizable Approach to Generating High‐Resolution Climate Projections Through Signal Decomposition by Katharine Hayhoe, Ian Scott‐Fleming, Anne Stoner, Donald J. Wuebbles

“…Comparing STAR‐ESDM output driven by coarse global climate model simulations with daily temperature and precipitation projections generated by a high‐resolution version of the same global model demonstrates it is capable of accurately reproducing projected changes for all but the most extreme temperature and precipitation values. …”
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Inequitable distribution of risks associated with occupational heat exposure driven by trade by Meng Li, Bo Meng, Yong Geng, Fan Tong, Yuning Gao, Norihiko Yamano, Sunghun Lim, Joaquim Guilhoto, Kimiko Uno, Xiaohong Chen

“…This becomes more prominent due to the global dispersion of labour-intensive production activities via trade. We combine a climate model with an input–output model to quantify the risks associated with trade-related occupational extreme heat exposure. …”
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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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Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming by K. Nordling, K. Nordling, N. L. S. Fahrenbach, B. H. Samset

“…Our analysis is based on initial-condition large-ensemble simulations from three fully coupled Earth system models (MPI-ESM1-2-LR, CanESM5 and ACCESS-ESM1-5) contributing to the Climate Model Inter-comparison Project Phase 6 (CMIP6). …”
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Medium-scale traveling ionospheric disturbances created by primary gravity waves generated by a winter storm by Kogure Masaru, Chou Min-Yang, Yue Jia, Otsuka Yuichi, Liu Huixin, Sassi Fabrizio, Pedatella Nicholas, Randall Cora E., Harvey V. Lynn

“…This study explores the meteorological source and vertical propagation of gravity waves (GWs) that drive daytime traveling ionospheric disturbances (TIDs), using the specified dynamics version of the SD-WACCM-X (Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension) and the SAMI3 (Sami3 is Also a Model of the Ionosphere) simulations driven by SD-WACCM-X neutral wind and composition. …”
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Benchmarking of snow water equivalent (SWE) products based on outcomes of the SnowPEx+ Intercomparison Project by L. Mudryk, C. Mortimer, C. Derksen, A. Elias Chereque, P. Kushner

“…Assessing these gridded products fills an important gap in the literature, since individual gridded products are frequently chosen without prior justification as the basis for evaluating land surface and climate model outputs, along with other climate applications. …”
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Physically-based modelling of UK river flows under climate change by Ben A. Smith, Stephen J. Birkinshaw, Elizabeth Lewis, Eleyna McGrady, Paul Sayers

“…The SHETRAN hydrological model was automatically calibrated for 698 UK catchments then driven by the 12 regional climate model projections from UKCP18, combined with urban development and natural flood management scenarios. …”
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Projected increase in droughts over the Arabian Peninsula and associated uncertainties by Md Saquib Saharwardi, Hari Prasad Dasari, Waqar Ul Hassan, Harikishan Gandham, Raju Pathak, Matteo Zampieri, Karumuri Ashok, Ibrahim Hoteit

“…With this background, this study evaluates best performing Climate Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs) for historical (1985–2014) simulations and future drought projections across the AP until 2100, using the standardized precipitation index (SPI) and standardized precipitation–evapotranspiration index (SPEI). …”
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The Role of Atmospheric Composition in Defining the Habitable Zone Limits and Supporting <i>E. coli</i> Growth by Asena Kuzucan, Emeline Bolmont, Guillaume Chaverot, Jaqueline Quirino Ferreira, Bastiaan Willem Ibelings, Siddharth Bhatnagar, Daniel Frank McGinnis

“…This innovative combination of climate modeling and biological experiments bridges theoretical climate predictions with biological outcomes. …”
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Impact of irrigation on farmworkers’ heat stress in California differs by season and during the day and night by Sagar P. Parajuli, Trent Biggs, Fernando de Sales, Miguel Angel Zavala Perez, Cenlin He, Charles Jones, Callum Thompson, Nicolas Lopez Galvez, Haley Ciborowski, Tiago Quintino, Claudia Di Napoli, Aliasghar Montazar, Tayebeh Hosseini Yazdi, Monica Soucier

“…We investigate the impact of irrigation on wet bulb globe temperature (WBGT), a key indicator of heat exposure in humans, using a validated high-resolution Weather Research and Forecasting (WRF) regional climate model, during day and night and in different seasons. …”
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Development of the Ionospheric E‐Region Prompt Radio Occultation Based Electron Density (E‐PROBED) Model by Cornelius Csar Jude H. Salinas, Dong L. Wu, Nimalan Swarnalingam, Daniel Emmons, Liying Qian

“…Finally, this work compares E‐PROBED with E‐region Ne simulated by the International Reference Ionosphere (IRI) and the Specified Dynamics—Whole Atmosphere Community Climate Model with Ionosphere/Thermosphere eXtension (SD‐WACCM‐X). …”
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Simulation Effect Evaluation of CMIP6 Models on Climatic Elements in Huai River Basin by WU Chen, WANG Jingcai, SHAO Junbo, LI Xiangyu, WANG Wenyue

“…The general climate model (CMIP6) is the main means of large-scale simulation and prediction of future climate changes,but the simulation quality of its model data and applicability in different research regions need to be evaluated.Based on the measured data of 19 meteorological stations in the upper and middle reaches of the Huai River Basin from 1960 to 2014,this paper systematically evaluates the simulated climate data of 19 CMIP6 models using five precision indicators.The indicators include equidistant cumulative distribution function method,mean,dispersion coefficient (C_v),Pearson correlation coefficient (PCC),standard deviation (STD),and root-mean-square deviation (RMSE).Finally,the following conclusions are drawn:① Based on the simulation data of 19 CMIP6 models corrected for bias,the top two climate models for precipitation data simulation are preliminarily selected,including ACCESS-ESM1-5 and CMCC-ESM2.The top five climate models for simulating temperature data contain ACCESS-ESM1-5 and CMCC-ESM2;② The historical period data and measured historical climate data of the selected CMIP6 models are evaluated from two aspects of annual change trend and spatial distribution.Then,the CMIP6 model suitable for the upper and middle reaches of the Huai River Basin is verified and selected;③ Based on analyzing the influence of atmospheric circulation factors on climate,AO has a good correlation with the climate data of the upper and middle reaches of the studied basin,and the correlation between the model and atmospheric circulation data is close to the actual situation.The comprehensive evaluation shows that the most suitable models for simulating the upper and middle reaches of the Huai River Basin are ACCESS-ESM1-5 and CMCC-ESM2.The systematic evaluation of CMIP6 model data simulating the upper and middle reaches of the Huai River Basin provides theoretical and technical references for the rational selection and utilization of CMIP6 datasets for the research on climate change factors in future scenarios of the basin.…”
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CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 [version 2; peer review: 1 approved, 2 approved with reservations] by Jianchu Xu, Robert J. Zomer, Antonio Trabucco, Donatella Spano

“…Three multimodel ensemble averages are also provided (All; Majority Consensus, High Risk) with different level of risks linked to climate model uncertainty. An overview of the methodological approach, geospatial implementation and a technical evaluation of the results is provided. …”
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Mapping climate change interaction with human health through DPSIR framework: Qatar perspective by Haneen I. Eldos, Furqan Tahir, U.N. Athira, Hend O. Mohamed, Bincy Samuel, Sini Skariah, Sami G. Al-Ghamdi, Tareq Al-Ansari, Ali A. Sultan

“…Key drivers, including economic development and population growth, contribute to increased greenhouse gas (GHG) emissions, exerting pressure on Qatar's climate through rising temperatures and altered precipitation patterns, as modeled by the MIT Regional Climate Model (MRCM). The findings reveal critical gaps in understanding the state of climate-health interactions, including insufficient disease data, incomplete climate-health linkages, and significant research gaps. …”
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Three Worlds in One: Venus as a Natural Laboratory for the Effect of Rotation Period on Atmospheric Circulation by Maureen Cohen, James Holmes, Stephen Lewis, Manish Patel, Sébastien Lebonnois

“…Using the Venus Planetary Climate Model and wind measurements taken by the Pioneer Venus entry probes, we show that the Rossby radius of deformation of the atmosphere varies with height. …”
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Current and future adaptation potential of heat-tolerant maize in Cameroon: a combined attribution and adaptation study by Lennart Jansen, Sabine Undorf, Christoph Gornott

“…Spatially detailed simulations of maize yields are performed using the process-based crop model APSIM with W5E5 reanalysis data and bias-corrected and downscaled climate model data from CMIP6/ISIMIP3b for counterfactual, historical and projected future climate scenarios SSP1-2.6 and SSP3-7.0. …”
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Runoff responses to Atlantic multidecadal and Pacific decadal oscillations in China: Insights from the last millennium simulations by Yangyi Liu, Jie Chen, Lihua Xiong, Chong-Yu Xu

“…Taking Medieval Climate Anomaly (MCA) and Little Ice Age (LIA) as study periods and focusing on summer runoff in China, this study aims to investigate 1) the major time scales at which AMO/PDO affects runoff, and 2) the individual and coupled effects of AMO and PDO on runoff by using last millennium climate model simulations. New hydrological insights for the region: AMO and PDO have stronger correlations with summer runoff at interdecadal time scales than at interannual time scales during MCA and LIA. …”
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The impact of a weakened AMOC on European heatwaves by Virna L Meccia, Claudia Simolo, Katinka Bellomo, Susanna Corti

“…Our analysis is based on a series of numerical experiments conducted using the EC-Earth3 climate model, which includes three ensembles of 20 Atmospheric Model Intercomparison Project-like members. …”
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Multi‐Model Assessment of Groundwater Recharge Across Europe Under Warming Climate by Rohini Kumar, Luis Samaniego, Stephan Thober, Oldrich Rakovec, Andreas Marx, Niko Wanders, Ming Pan, Falk Hesse, Sabine Attinger

“…Utilizing multi‐model ensemble simulations from four hydrologic and land‐surface models (HMs), our analysis incorporates E‐OBS observational forcing data (1970–2015) and five bias‐corrected and downscale climate model (GCMs) data sets covering the near‐past to future climate conditions (1970–2100). …”
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Potential Impacts of Future Climate Changes on Crop Productivity of Cereals and Legumes in Tamil Nadu, India: A Mid-Century Time Slice Approach by Vellingiri Geethalakshmi, Ramasamy Gowtham, Radhakrishnan Gopinath, Shanmugavel Priyanka, Marimuthu Rajavel, Kandasamy Senthilraja, Manickam Dhasarathan, Raj Rengalakshmi, Kulanthaivel Bhuvaneswari

“…Future climate projections made through multi-climate model ensemble could increase the plausibility of future climate change impact assessment on crop productivity. …”
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