The effect of sowing dates on the yield of soybean (<i>Glycine max</i> (L.) Merr.) accessions differing in maturity schedules under the climate conditions of Irkutsk Province by N. B. Katysheva, A. V. Pomortsev, N. V. Dorofeev, S. Yu. Zorina, L. G. Sokolova, A. S. Zhuravkova, Yu. S. Bukin, A. I. Katyshev

“…‘Barguzin’ appeared highly productive under the climate of Irkutsk Province (its average seed yield in 2019–2021 was 2.7 t/ha), but its productivity was significantly influenced by weather conditions and sowing dates (seed yields varied from 1.4 to 3.6 t/ha). …”
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A quantitative module of avalanche hazard – comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simu... by F. Herla, P. Haegeli, S. Horton, P. Mair

“…Snowpack simulations can help improve forecast consistency and quality by extending qualitative frameworks of avalanche hazard with quantitative links between weather, snowpack, and hazard characteristics. Building on existing research on modeling avalanche problem information, we present the first spatial modeling framework for extracting the characteristics of storm and persistent slab avalanche problems from distributed snowpack simulations. …”
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Investigating the Temporal and Spatial Characteristics of Lower Atmospheric Ducts in the Arctic via Long-Term Numerical Simulations by Jinyue Wang, Xiaofeng Zhao, Jing Zou, Pinglv Yang, Bo Wang, Shuai Yang, Zhijin Qiu, Zhiqian Li, Tong Hu, Miaomiao Song

“…In this study, a diagnostic model for lower atmospheric ducts was developed using the polar weather research and forecasting model. A five-year simulation was then conducted across the entire Arctic region to investigate the temporal and spatial characteristics of lower atmospheric ducts. …”
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Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC by Mingxing Zhou, Guiying Li, Dengsheng Lu, Cong Xu, Zhipeng Li, Dengqiu Li

“…Subtropical and tropical regions of China due to their favorable weather conditions for tree growth are important timber providers, but the spatial distribution of annual clear-cutting areas was unavailable. …”
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Feature importance analysis of solar flares and prediction research with ensemble machine learning models by Yun Yang, Yun Yang

“…Solar flares, as intense solar eruptive events, have a profound impact on space weather, potentially disrupting human activities like spaceflight and communication. …”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…A feature of the approach is the clustering of weather conditions on hourly rather than daily intervals. …”
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Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas by Jie He, Zhao Li, Linyu He, Jian Wang, Weiping Jiang

“…This paper addresses this issue by analyzing the spatiotemporal variations of aerosols in China’s offshore waters from 2007 to 2022 using Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and European Centre of Medium-range Weather Forecasts Reanalysis v.5 (ERA5) data. The results show that in the sea area, the aerosol backscatter coefficient at 532 nm and extinction coefficient at 532 nm increase with increasing RH; the aerosol depolarization ratio decreases with increasing RH. …”
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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

“…Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic environment characterized by complex spatial and temporal dynamics at various scales, further compounded by fluctuating conditions influenced by external factors such as social events, holidays, and weather. Navigating the intricacies of modeling the intricate interaction among these elements, creating universal representations, and employing them to address transportation issues. …”
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Risk of Stroke Associated with Temperature and PM2.5: Taiwan Stroke Registry-based Study by Fung-Chang Sung, Hei-Tung Yip, Cheng-Li Lin, Jiann-Shing Jeng, Jiunn-Tay Lee, Yu Sun, Cheng-Yu Wei, Po-Yen Yeh, Kuang-Hsi Chang, Shang-Yu Chien, Kai-Cheng Hsu, TSR team

“…We conclude that stroke incidence decreases as the weather gets warmer, whereas PM2.5 pollution may have little effect on stroke incidence. …”
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Indoor Black Carbon Concentrations and their Sources in Residential Environments: Validation of an Input-adaptive Proxy Model by Jiangyue Zhao, Pak Lun Fung, Martha Arbayani Zaidan, Birgit Wehner, Kay Weinhold, Alfred Wiedensohler, Tareq Hussein

“…Due to the complex influence of climate and indoor activities, the model separated six scenarios for weather (including warm and cold seasons) and indoor activities (burning, non-burning, and other activities) for typical urban residential environments in Germany. …”
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EVALUATION OF SMARTNESS OF THE TOURISM DESTINATION WEBSITES OF THE KLAIPEDA REGION by Julius Ramanauskas, Šarūnas Banevičius, Putinas Bielskis

“…In the functionality parameter, synchronization with weather forecasts and monitoring of tourist data (traffic dynamics) received the lowest scores – 3.6 and 3.9 points respectively (on a 10-point scale). …”
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Impacts of climate change on the suitable habitat of Angelica sinensis and analysis of its drivers in China by Shaoyang Xi, Xudong Guo, Xiaohui Ma, Ling Jin

“…Global warming and increased extreme weather events threaten the sustainability and pharmaceutical integrity of Angelica sinensis (Oliv.) …”
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Short-term solar irradiance forecasting using deep learning models by Syed Saad Ahmed, Chang Wei Bin, Nisar Humaira, Riaz Hannan Naseem, Yeap Kim Ho, Zaber Nursaida Mohamad

“…However, solar irradiance is complex to handle due to the nonuniform characteristics of inconsistent weather conditions. Deep Learning techniques have shown outstanding performance in modeling these complexities. …”
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Determining Causal Factors of Severe Crashes on the Fort Peck Indian Reservation, Montana by Sahima Nazneen, Mahdi Rezapour, Khaled Ksaibati

“…Impaired driving, adverse weather condition, collision with a ditch/embankment, pedestrian involvement, and overturn/rollover crashes were some of the factors that significantly contribute to increasing the risk associated with fatal and injury crashes. …”
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Subseasonal forecasts of heat waves in West African cities by C. G. Ngoungue Langue, C. G. Ngoungue Langue, C. Lavaysse, C. Lavaysse, C. Flamant

“…Two models that are part of the subseasonal-to-seasonal forecasting project, namely the European Centre for Medium-Range Weather Forecasts (ECMWF) and the United Kingdom Meteorological Office models, were evaluated using two state-of-the-art reanalysis products, namely the fifth generation ECMWF reanalysis (ERA5) and the Modern-Era Retrospective analysis for Research and Application, Version 2 (MERRA-2). …”
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Index-based livestock insurance schemes to manage climate risks in Ethiopia: determinants of farmer’s willingness to pay and lessons learned from Dasenech district, South Omo by Tagesse Melketo, Degefa Tolossa, Meskerem Abi, Sisay Bedeke, Tenaw Fentaw

“…Farmers’ perception of weather-related risks and awareness about insurance also influenced farmers’ willingness to pay positively. …”
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Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach by Aleksandar Stojkovic, Bosko Nikolic, Miodrag Zivkovic, Nebojsa Bacanin

“…Although reliability plays a crucial role in enhancing the sustainability of energy production, the dependence of solar power plants on weather conditions poses challenges to maintaining consistent output without significant storage expenses. …”
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A Water Extraction Method for Multiple Terrains Area Based on Multisource Fused Images: A Case Study of the Yangtze River Basin by Huang Ruolong, Shen Qian, Fu Bolin, Yue Yao, Yuting Zhang, Qianyu Du

“…Remote sensing is an effective tool for monitoring water distribution. However, cloudy weather and mountainous terrain directly affect water extraction from remote sensing images. …”
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PYRUS ZANGEZURA (ROSACEAE) AT SAINT PETERSBURG by K. G. Tkachenko, G. A. Firsov, L. F. Yandovka, A. V. Volchanskaya, N. E. Staroverov, Yu. A. Gryaznov

“…The reasons for the low flower setting may be variable: impaired pollination processes and insufficient fertility of pollen, underdevelopment of the flower morphological structures, or lack of pollinating insects due to adverse weather conditions. An X-ray analysis of the seeds from the harvests of 2016, 2017 and 2018 showed that the number of plump and fully developed seeds (grades IV and V) in fruits has been growing year by year. …”
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PORTERAGE OPERATION IN RURAL MARKETS - A PIVOTAL LINK AND TRANSFORMATION IN AGRICULTURAL COMMODITIES TRANSPORTATION SYSTEM: CASE OF SOUTH-WESTERN NIGERIA by D.O TORIMIRO, D.L. ALABI, A.S. OLAWORE

“…They are mostly exposed to harsh weather condition and diverse physical risks. It noted the current transformational innovation the sub-system is undergoing with gradual migration from head carriage to wheelbarrow (34%), advancement into cart pushing (16%) and very few motorized tricycles. …”
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