Extents of Predictors for Land Surface Temperature Using Multiple Regression Model by R. M. Yuvaraj

“…Land surface temperature (LST) is a key factor in numerous areas such as climate change, land use/land cover in the urban areas, and heat balance and is also a significant participant in the creation of climate models. Landsat data has given numerous possibilities to understand the land processes by means of remote sensing. …”
Get full text

Applying Stationary and Nonstationary Generalized Extreme Value Distributions in Modeling Annual Extreme Temperature Patterns by Erick A. Kyojo, Sarah E. Osima, Silas S. Mirau, Verdiana G. Masanja

“…These findings underscore the importance of accounting for nonstationarity in climate models to better understand and predict temperature extremes.…”
Get full text

Soil Moisture‐Temperature Coupling Increases Population Exposure to Future Heatwaves by Jingwei Zhou, Adriaan J. Teuling, Sonia I. Seneviratne, Annette L. Hirsch

“…We use data from four climate models, in which two experiments are used to isolate soil moisture effects and in this way to examine projected changes of soil moisture contributions to projected increases in heatwave events. …”
Get full text

Large-Scale Analysis of Relationships between Mineral Dust, Ice Cloud Properties, and Precipitation from Satellite Observations Using a Bayesian Approach: Theoretical Basis and Fir... by Lars Klüser, Thomas Popp

“…This implies that the whole cloud variable distributions have to be considered for indirect aerosol effects in any application for climate modelling.…”
Get full text

Trends in the Occurrence of Compound Extremes of Temperature and Precipitation in Côte d’Ivoire by Elisée Yapo Akobé, Adama Diawara, Fidèle Yoroba, Benjamin K. Kouassi, Assi Louis Martial Yapo, Ibrahima Diba, Kouakou Kouadio, Dro T. Tiémoko, Dianikoura Ibrahim Koné, Arona Diedhiou

“…For this purpose, we analyzed the outputs of fourteen (14) climate models from the CORDEX-Africa project. Results show an increase (approximately 4.3 °C) in the surface temperature and a decrease (5.90%) of the mean rainfall in the near (2036–2065) and far futures (2071–2100) over Côte d’Ivoire during the January–February–March (JFM) period. …”
Get full text

Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System by Woo Young Kim, Sang Gu Lee, Handol Lee, Kang-Ho Ahn

“…These insights are crucial for understanding particle behavior in diverse atmospheric layers and have implications for refining air quality monitoring and climate models. Future work should incorporate chemical analysis of aerosols to further expand these findings and assess their environmental impact.…”
Get full text

Stochastic black-box optimization using multi-fidelity score function estimator by Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz

“…This becomes particularly challenging when the simulator is stochastic, computationally expensive, black-box and when a high-dimensional vector of parameters needs to be optimized, as e.g. is the case in complex climate models that involve numerous interdependent variables and uncertain parameters. …”
Get full text

Climate Change Impact on Photovoltaic Energy Output: The Case of Greece by Ioanna S. Panagea, Ioannis K. Tsanis, Aristeidis G. Koutroulis, Manolis G. Grillakis

“…Climate projections were obtained from 5 regional climate models (RCMs) under the A1B emissions scenario, for two future periods. …”
Get full text

Predicting the current and future distributions of Australian Loranthaceae mistletoes by Carol A. Wilson, Kenneth Trang

“…Using occurrence records, climate data, and climate modeling, we investigated current distributions and modeled contemporary and future distributions of Australian mistletoes in the Loranthaceae by haustorial type. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text