Detection of High Radar Reflectivity Volumes at High Tropospheric Levels in Large Hail Events by Tomeu Rigo, Carme Farnell

“…The present study considered large volumes of high reflectivity in weather radar 3D fields at high tropospheric levels (more than 10 km). …”
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Climate change impacts on maize and dry bean yields of smallholder farmers in Honduras by MENDOZA, Carlos O., GIGENA, Rubén, DÍAZ-AMBRONA, Carlos G. H.

“…The cropping systems simulation dynamic model CropSyst was calibrated and validated upon field trail site at Zamorano, then run with baseline and future climate scenarios based upon general circulation models (GCM) and the ClimGen synthetic daily weather generator. Results indicate large uncertainty in crop production from various GCM simulations and future emissions scenarios, but generally reduced yields at low elevations by 0 % to 22 % in suitable areas for crop production and increased yield at the cooler, on the hillsides, where farming needs to reduce soil erosion with conservation techniques. …”
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A holistic stochastic model for precipitation events by Alexander Weyant, Alexander Gershunov, Anna K. Panorska, Tomasz J. Kozubowski, Julie Kalansky

“…We show that this distribution, in its most straightforward application, indeed describes precipitation events composed of daily observations at most long-term weather stations across the western United States, allowing for a flexible assessment of specific event probabilities and return periods with respect to their three defining components. …”
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Evaluating the PNI, RAI, SIP and SPI Indices in Mapping Drought Intensity of Iran: Comparing the Interpolation Method and Digital Elevation Model (DEM) by Mahmoud Khosravi, Alireza Movaqqari, Mohammad Reza Mansouri Daneshvar

“…Therefore by comparing drought intensity zoning maps and according to drought dependence on weather systems, it could be concluded that interpolation analysis without using the digital elevation model is the best method for evaluation of drought severity.…”
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ENHANCING MOBILITY: DEVELOPING A PEDESTRIAN SOLUTION FOR LOCOMOTION CHALLENGES AND ROAD SAFETY by Aneta WNUK, Dagmara JANKOWSKA-KARPA

“…In 2022, the multidisciplinary team of the Motor Transport Institute started multi-stage work to develop and implement innovative multi-functional attachments to orthopedic equipment as an element improving the comfort of movement of this group in various weather conditions. Focus group interviews with potential users, which were a part of the project, indicated the most important features of the selection of such a solution, such as material, anti-slip properties, ease of replacement, durability (low abrasion), ensuring stability, and quiet operation. …”
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Comparative Analysis on Propagation Effects of Flight Delays: A Case Study of China Airlines by Weiwei Wu, Cheng-Lung Wu, Tao Feng, Haoyu Zhang, Shuping Qiu

“…This paper aims to capture the interdependency among the sequence of flight delays due to airline operations in airports, weather, and air traffic control conditions. A copula function is used to determine the distribution of delay sequence and examine the propagation effects. …”
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A big data framework for short-term power load forecasting using heterogenous data by Haibo ZHAO, Zhijun XIANG, Linsong XIAO

“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation by Santhan Kumar Ch, N. Karuppiah, B. Praveen Kumar, S. Shitharth, B. Dasu

“…This improves the reliability of the system but does not take into consideration the disruptive events that have a low probability of occurrence but have a large impact on the system, such as extreme weather or natural disasters. Redesigning a microgrid to withstand low probability high impact events is very costly and is not a feasible solution to existing microgrids. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…The intricacy and variety of traffic conditions are often too complex and variable for traditional approaches to handling, especially when dealing with heterogeneous event data from several sources like weather variations and traffic incidents. This review highlights the significance of cross-attention mechanisms by examining the developments in integrating multi-source heterogeneous event data for traffic prediction. …”
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Environmental Factors Influencing Foraging Activity in the Social Wasp Polybia paulista (Hymenoptera: Vespidae: Epiponini) by Naila Cristina de Souza Canevazzi, Fernando Barbosa Noll

“…The linear mixed effects (LME) model used to analyze which weather factors influence the foraging showed temperature as the most influencing factor on the collection of materials.…”
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Effect of temperature on seasonal wind power and energy potential estimates in Nordic climates by Markus Salmelin, Hannu Karjunen, Jukka Lassila

“…The model uses historical ERA5 data and considers changes in weather patterns in a subarctic climate where seasonal changes are most pronounced. …”
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PREDICTION OF TBM OIL TEMPERATURE BY IMPROVED CAMEL ALGORITHM ASSISTED RANDOM FOREST MODEL (MT) by REN JianJi, ZHAO RunQiu, WANG ZhenXi, LIU YuMing, YUAN YongLiang

“…In order to obtain the classification prediction performance of TBM oil temperature, a camel walking resistance and walking endurance strategy based on natural weather phenomena was proposed to improve the camel algorithm to optimize the prediction model of random forest. …”
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Traffic Sign Recognition in Rainy Conditions Based on Federated Learning by Chen Yilin

“…The proposed method is demonstrated by experimental results to enhance performance in challenging weather conditions while also maintaining data privacy in machine learning applications. …”
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ARE FARMERS USING MOBILE APPLICATION FOR AGRO-ADVISORY SERVICES: EVIDENCE FROM DEVCHULI MUNICIPALITY, NAWALPARASI EAST by Birendra Tiwar, Amrit Dumre, Mahesh Jaishi

“…It was found that respondents use mobile applications to receive information on cultivation practice, plant protection, post-harvest, modern agriculture technology, market, weather forecast, and information regarding insurance, subsidy, and training. …”
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An Intercomparison between ERA-Interim Reanalysis and Observed Precipitation in Northeast China by Jie Zhou, Junhu Zhao

“…Recently, the European Center for Medium-Range Weather Forecasts (ECMWF) released a new set of reanalysis data—ERA-Interim. …”
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Examining plant names and their socio-cultural significance among speakers of Chasu in Kilimanjaro, Tanzania by Peter Rabson Mziray, Amani Lusekelo

“…These include the physiology of plants as depicted in their names, habitation and weather as sources of plant names, plant names emanating from diseases, parts of the body healed and medicament process, naming of plants based on spiritual and ritualistic values and names of plants deriving names of persons. …”
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Sea ice loss in association with Arctic cyclones by Steven M. Cavallo, Madeline C. Frank, Cecilia M. Bitz

“…Abstract Arctic sea-ice extent has reduced by over 40% during late summer since 1979, and the day-to-day changes in sea ice extent have shifted to more negative values. Drivers of Arctic weather that cause large short-term changes are rarely predicted more than a week in advance. …”
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The Impact of Socio-Economic and Climate Change on Poverty in Indonesia by Watemin,, Slamet Rosyadi and Lilis Siti Badriah

“…Climate change can impact farmers’ incomes as agricultural production still depends on the weather. Currently, the majority of the impoverished rely primarily on agriculture for their income. …”
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Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing by Jing Chao, Zhang Jinxi

“…In this project, temperature sensors were embedded in the pavement of in-service road to collect temperature data by continuous record measurement, and regression model was conducted by the partial least squares method through comprehensive analysis on the pavement temperature data and synchronously environmental data from local weather station measured in July 2013, July 2014, and July 2015. …”
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Impacts of Two-Type ENSO on Rainfall over Taiwan by Chen-Chih Lin, Yi-Jiun Liou, Shih-Jen Huang

“…Impacts of two-type ENSO (El Niño/Southern Oscillation), canonical ENSO and ENSO Modoki, on rainfall over Taiwan are investigated by the monthly mean rainfall data accessed from Taiwan Central Weather Bureau. The periods of the two-type ENSO are distinguished by Niño 3.4 index and ENSO Modoki index (EMI). …”
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