Simulation of wheat biomass yield by thermal time, rainfall and nitrogen by Ana P. B. Trautmann, José A. G. da Silva, Manuel O. Binelo, Osmar B. Scremin, Ângela T. W De Mamann, Luiz M. Bandeira

“…ABSTRACT Wheat biomass yield focused on the production of quality silage is dependent on rainfall, temperature and nitrogen (N). The objective of the study was to validate the use of rainfall, thermal time and N as potential variables for the composition of the multiple linear regression model and simulation of wheat biomass yield for silage production under N supply conditions during the cycle, in the systems of succession. …”
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Optimization of emergency logistics for urban flooding with consideration of rainfall effects by Peiwen Zhang, Chenxing Zhang, Pan Zhang, Xuxian Yan, Huawei Yang

“…Second, a vehicle routing model accounting for rainfall and dynamic vehicle speeds is established, solved using a hybrid Genetic Simulated Annealing algorithm to enhance computational efficiency. …”
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Analysis of Model Tests of Rainfall-Induced Soil Deposit Landslide by JianJun Gan, Y. X. Zhang

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Assessment and improvement of rainfall environment reproduction for climatic wind tunnel by Yingchao Zhang, Jinji Li, Zhe Zhang, Weiping Yuan, Jialong Zhou, Chun Shen, Chengchun Zhang

“…Improving the spacing and spray direction of nozzles benefits in narrowing the gap between natural and VCWT rainfall scenarios. An efficient approach is proposed in this work to make it possible to achieve the consistency between the rainfall environment in the CWT and the natural rainfall situation, providing an advance for rainwater management of vehicles.…”
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Comprehensive Probabilistic Analysis and Practical Implications of Rainfall Distribution in Pakistan by Fahad Haseeb, Shahid Ali, Naveed Ahmed, Nassir Alarifi, Youssef M. Youssef

“…This study presents a comprehensive methodology for evaluating rainfall probability distributions across Pakistan, and aims to create a probabilistic zoning map that could serve as a valuable resource to inform the development of strategies for efficient water resource management and improved flood resilience in diverse climatic and geographic conditions. …”
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Evolution of Aerosol Particles in the Rainfall Process via Method of Moments by Fangyang Yuan, Fujun Gan

“…For the same water content, the raindrops with small geometric mean diameters can remove particles with much higher efficiency than those with large geometric mean diameters. …”
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Rainfall-induced Landslide Susceptibility Prediction Considering Spatial Heterogeneity by ZHANG Xingfu, JIANG Yuanjun, ABI Erdi

“…MLANT Performance: The MLANT model significantly improved flexibility and prediction performance across varied tasks. MLANT efficiently addressed various environmental conditions by dynamically adjusting its internal strategies, particularly in response to landslides triggered by extreme rainfall. …”
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Shock and Vibration of Rainfall on Rotational Landslide and Analysis of Its Deformation Characteristics by Li Weiguo, Liu Yali, Chen Yanhong, Yang Libing

“…Earthquake, flood, human activity, and rainfall are some of the trigger factors leading to landslides. …”
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Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast by Fu-Ru Lin, Nan-Jing Wu, Ting-Kuei Tsay

“…Based on the factors of meteorology and topography, it is assumed that there exist some certain patterns in spatial and temporal rainfall distribution of a watershed. A typhoon rainfall forecasting model is developed under this assumption. …”
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Observation Characteristics and Synoptic Mechanisms of Typhoon Lekima Extreme Rainfall in 2019 by He Lifu, Chen Shuang, Guo Yunqian

“…The interaction of the typhoon, subtropical high, mid-latitude westerly trough and the abundant water vapor transport of the strong southeast low-level jet (over 25-35 m·s-1 in speed) along the coast of East China provide favorable environmental conditions for the long-term maintenance of Lekima and the occurrence of extreme heavy rainfall as the typhoon northward. The extreme heavy rainfall in eastern Zhejiang is mainly caused by the development of powerful typhoon body, its deep vertical vortex system (over 60×10-5 s-1 in vorticity) and the strong upward movement breaking through the tropopause, as well as the dense deep convection system (TBB of -80--72 K) with high-efficiency rainfall and latent heat feedback in the eye-wall area of typhoon. …”
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Rainfall-runoff modeling of urban floods using GIS and HEC-HMS by Priyanka Sharad Jawale, A.D. Thube

“…In summary, the model results indicate that the model demonstrates reasonable accuracy in representing the hydrological behaviour of the Wakad Watershed and provides a basis for developing water management plans in proactive environments of urban expansion. • Possessing highly detailed (7 m) DEM, as well as long term (30 years) precipitation data, allowed high-accuracy flood modelling alongside precise watershed characterization for the Wakad Watershed. • The combined application of GIS with the HEC-HMS modelling system, including SCS-CN, SCS-UH, and Muskingum methods, served as a robust framework for simulating urban floods and managing infrastructural development in rapidly evolving regions such as Wakad, PCMC. • Model calibration led to more accurate simulations with the tuned model achieving 44.23 % more Nash-Sutcliffe Efficiency, 51.90 % less RMSE, 4.14 % increment in R2 and 41.2 % less Percent Bias while demonstrating effective simulation of rainfall-runoff processes.…”
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Sensitivity of Streamflow to Changing Rainfall and Evapotranspiration in Catchments Across the Nile Basin by Charles Onyutha, Brian Odhiambo Ayugi, Kenny Thiam Choy Lim Kam Sian, Hassen Babaousmail, Wenseslas Arineitwe, Josephine Taata Akobo, Cyrus Chelangat, Ambrose Mubialiwo

“…By employing a hydrological model, our study examines the interrelationships between meteorological variables and hydrological responses across six catchments (Blue Nile, El Diem, Kabalega, Malaba, Mpanga, and Ribb) and explores the intricate balance between rainfall, PET, and streamflow. Nash Sutcliffe Efficiency (NSE) for calibration of the hydrological model ranged from 0.636 (Ribb) to 0.831 (El Diem). …”
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Native plants for erosion control in urban river slopes by Virginia Alvarado, Tania Bermúdez, Marilyn Romero, Lilliana Piedra

“…Significant differences were also determined between the treatments and the efficiency order was B >A > C >D, with the native plants being the most efficient in terms of sediment control. …”
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A Radar-Based Fast Code for Rainfall Nowcasting over the Tuscany Region by Alessandro Mazza, Andrea Antonini, Samantha Melani, Alberto Ortolani

“…In the case of low-intensity rainfall (average rate < 0.3 mm/h), its forecasting skill dropped after 20–30 min. …”
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Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India by Syed Nisar Hussain Bukhari, Kingsley A. Ogudo

“…This study addresses the need for precise and efficient T&R forecasting using deep learning-based framework tailored to the unique climatic conditions of these regions. …”
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Prediction of the volume of shallow landslides due to rainfall using data-driven models by J. Tuganishuri, C.-Y. Yune, G. Kim, S. W. Lee, M. D. Adhikari, S.-G. Yum

“…The volume of landslides was strongly influenced by slope length, maximum hourly rainfall, slope angle, aspect, and altitude. The anticipated volume of landslides can be important for land use allocation and efficient landslide risk management.…”
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Characteristics and Influencing Factors of Phosphorus Loss in Watersheds during Typical Rainfall Events by LIU Xiao-rong, DU Xin-zhong, LIU Xin-ru, HAN Yu-guo, AN Miao-ying, LEI Qiu-liang, LIU Hong-bin

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Daily Rainfall Patterns During Storm “Daniel” Based on Different Satellite Data by Stavros Kolios, Niki Papavasileiou

“…Finally, the intercomparison of the datasets used highlights the satisfactory efficiency of the examined satellite datasets in capturing similar rainfall amounts in the same areas (daily mean error of 15 mm, mean absolute error of up to 35 mm and correlation coefficient ranging from 0.6 to 0.9 in most of the examined cases). …”
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Quantifying the Wind‐Induced Bias of Rainfall Measurements for the Thies CLIMA Optical Disdrometer by E. Chinchella, A. Cauteruccio, L. G. Lanza

“…Based on literature expressions to link the drop size distribution of real rainfall events with the rainfall intensity (which instead depend on the local rainfall climatology at the measurement site), sample collection efficiency curves are obtained from the catch ratios of monodisperse rain. …”
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Uncertainty in Kinetic Energy Models for Rainfall Erosivity Estimation in Semi-Arid Regions by José Bandeira Brasil, Ana Célia Maia Meireles, Carlos Wagner Oliveira, Sirleide Maria de Menezes, Francisco Dirceu Duarte Arraes, Maria Simas Guerreiro

“…This study aims to evaluate the performance of empirical models for estimating rainfall kinetic energy (KE) and erosivity index (EI₃₀) in this region, for all events and erosive events, using high-resolution rainfall data collected at the Federal University of Cariri (UFCA), Ceará. …”
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