Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

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Verification of a Real Time Weather Forecasting System in Southern Italy by Luca Tiriolo, Rosa Claudia Torcasio, Stefania Montesanti, Stefano Federico

“…The model is initialized from the 12 UTC operational analysis/forecasting cycle of the European Centre for Medium range Weather Forecasts (ECMWF). The forecast is issued for the following three days. …”
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Downscaling Global Weather Forecast Outputs Using ANN for Flood Prediction by Nam Do Hoai, Keiko Udo, Akira Mano

“…Downscaling global weather prediction model outputs to individual locations or local scales is a common practice for operational weather forecast in order to correct the model outputs at subgrid scales. …”
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Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too? by Susan Moore Mauroux

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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

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No more flying blind: Leveraging weather forecasting for clear-cut risk-based decisions by Manuel Lombardi, David Sladek, Francesco Simone, Riccardo Patriarca

“…Having detailed weather forecasts within operational areas can help avoid unwanted outcomes while assuring safe operations and mission success. …”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…Abstract Recent advancements in artificial intelligence (AI) have notably enhanced global weather forecasting, yet accurately predicting typhoon intensity remains challenging. …”
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On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

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Short- to Medium-Term Weather Forecast Skill of the AI-Based Pangu-Weather Model Using Automatic Weather Stations in China by Siyi Xu, Yize Zhang, Junping Chen, Yunlong Zhang

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Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study by Giuseppe Giunta, Alessandro Ceppi, Raffaele Salerno

“…The present study concerns the performance of a weather forecast model in the framework of an early warning system (EWS) application, which supports the integrity management of oil and gas pipelines. …”
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Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Approach by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

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Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models by Hyesung Park, Sungwook Chung

Subjects: “…weather forecast…”
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Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal by Supath Dhital, Kapil Lamsal, Sulav Shrestha, Umesh Bhurtyal

Subjects: “…weather forecast…”
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Hybrid Models for Weather Parameter Forecasting by Rashmi Bhardwaj, Varsha Duhoon

“…The study becomes significant as weather forecasting with accuracy is a complex task along with the reduction of prediction error by the application of different models and schemes. …”
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An Online Interactive Experiment Management System for CMA Numerical Weather Prediction Models by Wang Bin, Hu Jiangkai, Cui Yingjie, Zhou Bin, Sun Jing, Zhao Chunyan, Lou Panxing

“…The system has been operational since 2023 and has facilitated the coordinated development of numerical weather forecasting at both national and provincial levels across various scenarios. …”
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A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…For industries like agriculture and disaster management, weather forecasting is essential. This study assesses how well four regression models—linear regression, random forest regression, support vector regression (SVR), and K-Nearest Neighbors (KNN)—predict weather temperatures using a dataset from England. …”
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MSLp: Deep Superresolution for Meteorological Satellite Image by Liling Zhao, Hao Yu, Yan Wang

“…High-resolution meteorological satellite image is the basic data for weather forecasting, climate prediction, and early warning of various meteorological disasters. …”
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Detection and simulation of Kermanshah dust storm using HYSPLIT and WRF-chem models by Tooba Alizadeh, Majid Rezaei Banafsheh, Hashem Rostamzadeh, Gholamreza Goodarzi, Hedar Maleki, Hamzeh Alizadeh

“…To investigate the synoptic conditions of the causes of this phenomenon, from the European Central Center (ESMWF) mid-term weather forecast data set with a resolution of 0.125 degrees of arc including, geopotential height, omega, sea level pressure, orbital and meridional components, humidity. …”
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Design and Construction of an Anemometer. by Mukhangu, Paul

“…Anemometers play a crucial role in measuring wind speed and direction, essential for weather forecasting, environmental monitoring, and optimizing wind energy systems. …”
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Statistical Downscaling for Rainfall Forecasts Using Modified Constructed Analog Method in Thailand by Patchalai Anuchaivong, Dusadee Sukawat, Anirut Luadsong

“…The Modified Constructed Analog Method (MCAM) is a technique in downscaling estimation, suitable for rainfall simulation accuracy using weather forecasting. In this research, the MCAM was used to calculate the Euclidean distance to obtain the number of analog days. …”
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