A Framework for the Land Use Change Dynamics Model Compatible with RCMs by Xiangzheng Deng, Jiyuan Liu, Yingzhi Lin, Chenchen Shi

“…A framework of land use change dynamics (LUCD) model compatible with regional climate models (RCMs) is introduced in this paper. The LUCD model can be subdivided into three modules, namely, economic module, vegetation change module, and agent-based module. …”
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A Space Domain Energetics Study for CO2 Increasing Based on SRES-A2 Emission Scenario by José Augusto P. Veiga, Tercio Ambrizzi, Alexandre B. Pezza

“…This work presents a detailed investigation of the changes in the global pattern of energetics under a prescribed temporal evolution of CO2 concentration as proposed by the A2 IPCC forcing scenario (SRES-A2) using a combination of reanalysis and climate models. A validation climatology is computed using the classic Lorenz energetic formulation, with generation and dissipation components estimated as residuals. …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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Reappraising double pendulum dynamics across multiple computational platforms by Sandy Herho, Faiz Fajary, Katarina Herho, Iwan Anwar, Rusmawan Suwarman, Dasapta Irawan

“…Future research directions are faster simulations using Numba and GPU computing, stochastic effects, chaotic synchronization, and applications in climate modeling. This work will be useful for understanding chaos theory and efficient computational approaches in complex systems of dynamical nature. …”
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Volcanically forced Madden–Julian oscillation triggers the immediate onset of El Niño by Hyemi Kim, Seung-Ki Min, Daehyun Kim, Daniele Visioni

“…Although the influence of volcanic forcing on El Niño events has been studied extensively, the mechanisms driving the volcanically-induced immediate onset of El Niño remain uncertain, with many climate models producing a delayed El Niño response compared to observations. …”
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Global Impact Assessment of Internal Climate Variability on Maize Yield Under Climate Change by Guoyong Leng

“…By combining initial condition large ensembles from multiple climate models with machine‐learning based crop model emulators, an ensemble of 2002 global maize yield simulations are conducted. …”
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Review of Arctic sea-ice records over the last millennium from modern, historical, and proxy data sources by Natasha Leclerc, Jochen Halfar

“…Accordingly, sea-ice and sea-ice–related variables are particularly valuable in climate modeling, paleoclimatology, and ecology to document past and present environmental changes and predict future outcomes. …”
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Recent changes in ENSO’s impacts on the summertime circumglobal teleconnection and mid-latitude extremes by Shankai Tang, Shaobo Qiao, Bin Wang, Fei Liu, Xian Zhu, Taichen Feng, Guolin Feng, Wenjie Dong

“…State-of-the-art climate models with prescribed anthropogenic forcing cannot simulate these changes, suggesting that they are driven by natural variability. …”
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Climate tipping points and their potential impact on drinking water supply planning and management in Europe by Peter van Thienen, Herbert ter Maat, Sija Stofberg

“…The current generation of climate models has proven very helpful in understanding and projecting anthropogenic climate change but has also shown to be insufficient for studying the interactions of tipping elements and their impact on overall climate stability. …”
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Climatic Cycles and Gradients of the El Niño Core Region in North Peru by Rütger Rollenbeck, Fabian Bayer, Jannes Münchow, Michael Richter, Rodolfo Rodriguez, Nestor Atarama

“…Conceptual models based on observations, remote sensing data, and output of regional climate models are compared with data from a new station network. …”
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Excessive equatorial light rain causes modeling dry bias of Indian summer monsoon rainfall by Gudongze Li, Chun Zhao, Jun Gu, Jiawang Feng, Mingyue Xu, Xiaoyu Hao, Junshi Chen, Hong An, Wenju Cai, Tao Geng

“…Abstract Simulating accurately the South Asian summer monsoon is crucial for food security of several South Asian countries yet challenging for global climate models (GCMs). The GCMs suffer from some systematic biases including dry bias in mean monsoon rainfall over the India subcontinent and excessive equatorial light rain between which the relationship was rarely discussed. …”
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Surface energy balance closure over melting snow and ice from in situ measurements on the Greenland ice sheet by Maurice van Tiggelen, Paul C. J. P. Smeets, Carleen H. Reijmer, Dirk van As, Jason E. Box, Robert S. Fausto, Shfaqat Abbas Khan, Eric Rignot, Michiel R. van den Broeke

“…These results highlight the need and challenges in obtaining accurate long-term in situ SEB observations for the proper evaluation of climate models and for the validation of remote sensing products.…”
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Response of Extreme Hydrological Events to Climate Change in the Water Source Area for the Middle Route of South-to-North Water Diversion Project by Wei Yang, Liping Zhang, Lijie Shan, Xinchi Chen, Shaodan Chen

“…This paper explores the process of extreme floods by using multivariate analysis to characterize flood and precipitation event data in combination, for historical data and simulated data from global climate models. The results suggested that the generalized extreme value and Gamma models better simulated the extreme precipitation and flood volume sequence than the generalized Pareto model for the annual maximum series, while the generalized Pareto distribution model was the best-fit model for peaks over threshold series. …”
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Machine Learning and hybrid models for assessing climate change impacts on runoff in the Kasilian catchment, Northern Iran by Farhad Hajian, Hossein Monshizadeh Naeen

“…Input variables (temperature and rainfall) were generated using LARS-WG software, incorporating five climate models and the SSP585 scenario for future climate change studies. …”
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Northern Hemisphere Climatology and Interannual Variability of Storm Tracks in NCEP’s CFS Model by Timothy Paul Eichler, Francisco Alvarez, Jon Gottschalck

“…Evaluating the climatology and interannual variability of storm tracks in climate models represents an excellent way to evaluate their ability to simulate synoptic-scale phenomena. …”
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Case studies of different types of precipitation at Ny-Ålesund, Arctic by Lekhraj Saini, Saurabh Das, Nuncio Murukesh

“…With the Arctic undergoing warming trends, historical data and climate models indicate a shift from primarily snowfall to a rise in liquid and mixed forms of precipitation. …”
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A globális felmelegedésről (About the Global Warming) by Katalin M. Barna, Tamás Molnár

“…What will actually happen, we don’t know yet exactly, scientists are trying to set up different scenarios with the help of climate modeling. As the 5th of IPCC report says, people are responsible for the climate change at least 95 percent. …”
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Characteristic Features of Precipitation Extremes over India in the Warming Scenarios by J. V. Revadekar, S. K. Patwardhan, K. Rupa Kumar

“…Therefore, an attempt is made in this paper to evaluate various aspects of future projections of precipitation extremes over India, as projected by a state-of-art regional climate modeling system, known as PRECIS (Providing REgional Climates for Impacts Studies) towards the end of the 21st century (that is, 2071–2100) using standardized indices. …”
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Correlation of Dry Deposition Velocity and Friction Velocity over Different Surfaces for PM2.5 and Particle Number Concentrations by Antonio Donateo, Daniele Contini

“…The deposition velocities, Vd, are often parameterised in air quality and climate modelling as function of the friction velocity, u*, atmospheric stability, and particle size (if size-segregated information is available). …”
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Potential Influence of Climate Change on the Acid-Sensitivity of High-Elevation Lakes in the Georgia Basin, British Columbia by Donna Strang, Julian Aherne

“…Global climate models predict increased temperature and precipitation in the Georgia Basin, British Colmbia; however, little is known about the impacts on high-elevation regions. …”
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