The Unexpected Oceanic Peak in Energy Input to the Atmosphere and Its Consequences for Monsoon Rainfall by Nandini Ramesh, William R. Boos

“…Observed radiative fluxes suggest that cloud‐radiative effects (CRE) almost double the NEI over ocean, shifting the NEI peak from land to ocean. Global climate model experiments with both land and interactive sea surface temperatures confirm that CRE create the oceanic NEI maximum. …”
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Climate Change, Grape Phenology, and Frost Risk in Southeast England by C. Llanaj, G. McGregor

“…Cold-bias-corrected climate projections from the UKCP18 Regional (12 km) perturbed parameter ensemble (PPE) climate model under RCP8.5 are applied with phenological models to determine how frost risk and the timing of key grapevine phenophases might alter under climate change. …”
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Consistent Trends in Dry Spell Length in Recent Observations and Future Projections by Caroline M. Wainwright, Richard P. Allan, Emily Black

“…By combining a range of present‐day climate model experiments, recent trends are linked with both natural and human‐caused drivers. …”
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Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms by Anongrit Kangrang, Haris Prasanchum, Rattana Hormwichian

“…The Ubolrat Reservoir located in the northeast region of Thailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. …”
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A Martingale-Free Introduction to Conditional Gaussian Nonlinear Systems by Marios Andreou, Nan Chen

“…The effectiveness of the framework is demonstrated through a physics-constrained, triad-interaction climate model with cubic nonlinearity and state-dependent cross-interacting noise.…”
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Durability of carbon dioxide removal is critical for Paris climate goals by Cyril Brunner, Zeke Hausfather, Reto Knutti

“…Using a reduced-complexity climate model, here we examined the effect of Carbon Dioxide Removal with varying CO2 storage durations. …”
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The Semidiurnal Tidal Response of the Low Latitude Ionosphere to Northern Hemisphere Polar Vortex Strength (2020–2023) From COSMIC‐2 Global Ionospheric Specification by Deepali Aggarwal, Jens Oberheide, Nicholas Pedatella, Benjamin C. Martinez

“…The study compares solar/geomagnetic forcing and vortex impacts using SD‐WACCM‐X (Specified Dynamics Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension) model runs. …”
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Improving Regional Dynamic Downscaling with Multiple Linear Regression Model Using Components Principal Analysis: Precipitation over Amazon and Northeast Brazil by Aline Gomes da Silva, Claudio Moises Santos e Silva

“…Thus, this paper proposes a method of postprocessing outputs of regional climate models. This method consists in using the statistical tool multiple linear regression by principal components for combining different simulations obtained by dynamic downscaling with the regional climate model (RegCM4). …”
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Assessment of Meteorological Drought in Korea under Climate Change by Jaewon Kwak, Soojun Kim, Jaewon Jung, Vijay P. Singh, Dong Ryul Lee, Hung Soo Kim

“…To analyze the effect of climate change, spatial distribution of drought in the future is analyzed using the SPI time series calculated from Representative Concentration Pathways (RCPs) scenarios and HADGEM3-RA regional climate model. The results show that the Youngsan River and the northwest of Nakdong River basins in Korea have nearly doubled drought amount compared to the present and are most vulnerable to drought in near future (2016 to 2039 years).…”
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Initialized Decadal Predictions by LASG/IAP Climate System Model FGOALS-s2: Evaluations of Strengths and Weaknesses by Bo Wu, Xiaolong Chen, Fengfei Song, Yong Sun, Tianjun Zhou

“…Decadal prediction experiments are conducted by using the coupled global climate model FGOALS-s2, following the CMIP 5 protocol. …”
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Increasing Inhomogeneity of the Global Oceans by Qiuping Ren, Young‐Oh Kwon, Jiayan Yang, Rui Xin Huang, Yuanlong Li, Fan Wang

“…A newly defined thermohaline inhomogeneity index, a holistic measure of both temperature and salinity changes, has increased by 2.4 ± 0.1%. Climate model simulations suggest that the observed ocean inhomogeneity increase is dominated by anthropogenic forcing and projected to accelerate by 200%–300% during 2015–2100. …”
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Modelling Lake Ice Phenology with an Examination of Satellite-Detected Subgrid Cell Variability by Laura C. Brown, Claude R. Duguay

“…Forcing the model with future climate scenarios from the Canadian Regional Climate Model predicts the regional ice cover durations will decrease by up to 50 days from the current 1981–2010 means to the 2041–2070 means and decrease from 15 to nearly 100 days shorter from the current means to the 2071–2100 means.…”
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Amplification of Northern Hemisphere winter stationary waves in a warming world by Jueun Lee, S.-Y. Simon Wang, Seok-Woo Son, Daehyun Kim, Jee-Hoon Jeong, Hyungjun Kim, Jin-Ho Yoon

“…Abstract This study leverages the Global/Regional Integrated Model system (GRIMs) version 4.0 climate model to examine the mechanisms behind the recent intensification of winter stationary waves over western North America. …”
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Climate Change Impact on the Trigger of Natural Disasters over South-Eastern Himalayas Foothill Region of Myanmar: Extreme Rainfall Analysis by Kyaw Than Oo, Chen Haishan, Kazora Jonah

“…The study uses the Copernicus 5 database of global climate model (GCM) simulations with two scenario analyses on climate change detection and indices (ETCCDI) to study changes in climatic extremes. …”
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Impact of Climate Change on Hydrologic Extremes in the Upper Basin of the Yellow River Basin of China by Jun Wang, Zhongmin Liang, Dong Wang, Tian Liu, Jing Yang

“…To reveal the revolution law of hydrologic extremes in the next 50 years and analyze the impact of climate change on hydrologic extremes, the following main works were carried on: firstly, the long duration (15 d, 30 d, and 60 d) rainfall extremes according to observed time-series and forecast time-series by dynamical climate model product (BCC-CSM-1.1) were deduced, respectively, on the basis that the quantitative estimation of the impact of climate change on rainfall extremes was conducted; secondly, the SWAT model was used to deduce design flood with the input of design rainfall for the next 50 years. …”
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Assessment of Climate Change Effects on Water Resources in the Yellow River Basin, China by Zhiyong Wu, Heng Xiao, Guihua Lu, Jinming Chen

“…VIC was first calibrated using observations and then was driven by the precipitation and temperature projected by the RegCM3 high-resolution regional climate model under the IPCC scenario A2. Results show that, under the scenario A2, the mean annual temperature of the basin could increase by 1.6°C, while mean annual precipitation could decrease by 2.6%. …”
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Past rapid warmings as a constraint on greenhouse-gas climate feedbacks by Mengmeng Liu, Iain Colin Prentice, Laurie Menviel, Sandy P. Harrison

“…Here we use these events to quantify the centennial-scale feedback strength of CO2, CH4 and N2O by relating global mean temperature changes, simulated by an appropriately forced low-resolution climate model, to the radiative forcing of these greenhouse gases derived from their concentration changes in ice-core records. …”
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Paleoclimate proxy records suggest reduced tropical Pacific zonal asymmetry under sustained global warming by Eui-Seok Chung, Seong-Joong Kim, Keith B. Rodgers, Sang-Yoon Jun, Joo-Hong Kim, Sun-Seon Lee, Kyung-Sook Yun

“…By adopting paleoclimate proxy records along with a series of climate model simulations, here we show that the zonal gradient is likely to decrease under sustained strong forcing. …”
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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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