Impact of Preceding El Niño and the Indian Ocean Dipole on the Southern China Precipitation in Early Summer by Yan Li, Yafei Wang, Lin Mu, Qingyuan Wang, Jun Song, Guosong Wang

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Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“… This new report from UF/IFAS researchers provides another set of observation data that can be used to develop better models for accurate prediction of weather and near-term climate. It describes the observations conducted during the MicroWEX-11, a season-long experiment incorporating active and passive microwave observations for bare soil, elephant grass, and sweet corn using a variety of sensors to understand land–atmosphere interactions and their effect on observed microwave signatures. …”
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Temperature Load Parameters and Thermal Effects of a Long-Span Concrete-Filled Steel Tube Arch Bridge in Tibet by Tuo Shi, Jielian Zheng, Nianchun Deng, Zheng Chen, Xiao Guo, Shi Wang

“…According to the results, the following recommendations were made: (1) the average temperature of concrete in the pipe after the formation of concrete strength should be used to calculate the closure temperature of CFST arch bridges in Tibet; however, the standard calculation formula was still applicable; (2) the daily average temperature in extreme weather should be taken as the maximum and minimum effective temperature; (3) we presented recommended values for the influence range and gradient temperature for a single large-diameter pipe; and (4) a refined finite element model that included the arch base should be used to verify the temperature effects during bridge design.…”
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Results of analysis of temperature monitoring data around the nuclearly hazardous cluster of fuel-containing materials in the sub-reactor room 305/2 of the "Shelter" object, inside... by O. V. Mykhailov, A. O. Doroshenko, M. V. Saveliev

“…The results of the analysis of temperature monitoring data were obtained using the information and measuring system (IMS) "Finish" (1991 - 2015) and expert research system, new safe confinement (NSC) integrated control system in the main volume (MV) under the arched space, and the weather station in Chornobyl (1991 - 2023). After the NSC was installed in the design position, a slight increase in average annual MV NSC air temperature was observed before 2021. …”
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Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments by Youlong Weng, Ziang Zhang, Guangzhi Chen, Yaru Zhang, Jiabao Chen, Hongzhan Song

“…Frequency-modulated continuous-wave (FMCW) millimeter-wave (mmWave) radar systems are increasingly utilized in environmental sensing due to their high range resolution and robust sensing ability in severe weather environments. However, mutual interference among radar systems significantly degrades the target detection capability. …”
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Assessing the Response of Satellite Solar-Induced Chlorophyll Fluorescence and NDVI to Impacts of Heat Waves on Winter Wheat in the North China Plain by Chenjie Xian, Li He, Zhengwei He, Dongjian Xue, Zhe Li

“…Global warming has increased the chance of concurrent extreme climate events (weather or climate events that are rare within their statistical reference distributions in a particular place, such as heat waves, floods, and droughts). …”
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Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data by L. Pfitzenmaier, P. Kollias, P. Kollias, N. Risse, I. Schirmacher, B. Puigdomenech Treserras, K. Lamer

“…Finally, Orbital-Radar allows for evaluating kilometre-scale numerical weather prediction models with EarthCARE CPR observations. …”
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Adaptive features of winter triticale accessions from the VIR collection by N. Sh. Garaeva, S. N. Ponomarev, M. L. Ponomareva

“…Cultivars were also selected for their least variable high yields under the impact of weather conditions. The analysis of the studied set of accessions showed that both high-yielding and low-yielding genotypes were stable. …”
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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Specifically, TLMR first employs a Position-aware Graph Neural Network to learn features of intersections from the road network, incorporating context features like weather and traffic conditions. Then, it integrates this information through neural networks to predict the next intersection. …”
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Obtaining commercial humic products from uncomposted manures: previous acid hydrolysis to enhance yields by Carla Bellera, Issa Abaalkheel, Pere Rovira, Jamal Alrefai

“…Purpose In Saudi Arabia, owing to the abundant livestock, manures are a source of commercial humic amendments. Climate (hot weather plus scarcity of water sources) makes composting very difficult and compulsory to obtain these humic amendments without any previous composting step. …”
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High Rate Stormwater Treatment for Water Reuse and Conservation—Review by Saravanamuthu Vigneswaran, Jaya Kandasamy, Harsha Ratnaweera

“…Modern practices prioritize retention, infiltration, and groundwater recharge over traditional rapid drainage, reframing stormwater as a resource amid rising extreme weather events. In water-scarce regions, stormwater management offers dual-use potential for drinking and non-drinking applications, addressing freshwater scarcity exacerbated by population growth and climate change. …”
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Effective methods of rational water resource use in the agrarian sector of Kazakhstan by Yerzhan Amirbekuly, Adaskhan Daribayeva, Aigul Toxanova, Darima Zhenskhan, Nurzhamal Kurmankulova

“…Automated monitoring systems using soil moisture sensors and weather forecasting reduced water consumption by 25-50% and increased crop yields by 15-30%. …”
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Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms by R. Kabilan, V. Chandran, J. Yogapriya, Alagar Karthick, Priyesh P. Gandhi, V. Mohanavel, Robbi Rahim, S. Manoharan

“…The proposed prediction methodology comprises a data quality stage, machine learning algorithm, weather clustering assessment, and an accuracy assessment. …”
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Flexibility matters: Impact assessment of small and medium enterprises flexibility on the German energy transition by Anas Abuzayed, Mario Liebensteiner, Niklas Hartmann

“…Challenges in achieving a secure electricity supply during extreme weather conditions in a 100 % renewable system are identified, along with how SME flexibility helps to achieve climate neutrality. …”
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Factors Influencing Sleeve Grouting Quality for Prefabricated Building: An Interpretive Structural Modeling Approach by Yingbo Ji, Zihao Zhao, Fuyi Yao, Hong Xian Li, Yanyao Li, Xiaoyun Du

“…The results indicate that all factors were classified into six levels, among which poor responsibility of supervisors and weather conditions are the most basic factors, while grouting speed and a loose-sealing rubber plug are the most important factors. …”
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Analysis of Rainfall Trends and Its Relationship with SST Signals in the Lake Tana Basin, Ethiopia by Tesfay Mekonnen Weldegerima, Tadesse Terefe Zeleke, Belay Simane Birhanu, Benjamin Frederick Zaitchik, Zewdu Alamineh Fetene

“…The impacts of climate change and climate variability on human life have led the scientific community to monitor the behavior of weather and climate variables at different spatial and temporal scales. …”
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Evaluation of CMIP5 Global Climate Models over the Volta Basin: Precipitation by Jacob Agyekum, Thompson Annor, Benjamin Lamptey, Emmannuel Quansah, Richard Yao Kuma Agyeman

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Crop yield prediction through machine learning: A path towards sustainable agriculture and climate resilience in Saudi Arabia by Mohammad M. Islam, Majed Alharthi, Rotana S. Alkadi, Rafiqul Islam, Abdul Kadar Muhammad Masum

“…Climate change poses significant challenges, with rising temperatures and extreme weather events being increasingly evident. Agriculture, contributing 14% of greenhouse gas emissions, plays a crucial role in exacerbating this issue. …”
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Ambient Atmospheric Aerosol Extinction Coefficient Reconstruction from PM2.5 Mass Concentrations and Application to Haze Identification in China by Lina Gao, Peng Yan, Jietai Mao, Xiaochun Zhang, Xiaoling Zhang, Yongxue Wu, Junshan Jing, Jianming Xu, Xuejiao Deng, Wenxue Chi

“…A closure study enabled us to determine the threshold of the extinction ratio (β/βObs) and identify haze and fog weather phenomena at the stations. Finally, we assessed the bias in the predicted number of hours with haze for 61 stations in China by comparing the estimates derived from different values for the model’s parameters with those derived from the reference values and found a relative bias of less than 15% for approximately 99.8% of the stations, indicating the feasibility of our approach for detecting haze.…”
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Study on the Aging Behavior of Two Acrylic Polyurethane Coatings under High and Low Temperature UV- Artificial Accelerated Aging Tests by PAN Dongyue, AN Jiangfeng, ZHOU Xuejie, PENG Feifan, CHEN Hao, CHEN Zhijian, WU Jun

“…In order to investigate the aging behavior of acrylic polyurethane coatings in environments with high ultraviolet radiation intensity and large temperature differences， the aging processes of water-based and solvent-based acrylic polyurethane coatings were studied using UV-high and low-temperature artificial accelerated aging methods.Techniques such as super depth-of-field imaging， attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) and energy-dispersive spectroscopy (EDS) were employed to analyze the changes in microscopic morphology， molecular structure and elemental atomic fraction on the surfaces of the coatings.The performance changes and aging patterns of solvent-based and water-based coatings during the aging process were examined through electrochemical impedance spectroscopy (EIS)， water contact angle measurements， adhesion strength tests and glossiness assessments.Results showed that the water-based acrylic polyurethane coating system exhibited cracking， whereas the solvent-based coating system exhibited layering.Both coatings experienced significant reductions in glossiness， water contact angle and adhesion strength.The aging rate of the two coating systems initially increased rapidly and then slowed down， with an early appearance of the rate transition inflection point.Infrared spectroscopy analysis indicated that both coatings shared similar aging mechanisms， while EDS analysis demonstrated a faster aging rate for the water-based coating.Additionally， the weight of each performance index was calculated by entropy method， and the comprehensive aging grade under the test was obtained， which verified that the solventbased acrylic polyurethane coating system had relatively good weather resistance.…”
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