Machine Learning Methods for Weather Forecasting: A Survey

Machine Learning Methods for Weather Forecasting: A Survey

Weather forecasting, a vital task for agriculture, transportation, energy, etc., has evolved significantly over the years. Comprehensive surveys play a crucial role in synthesizing knowledge, identifying trends, and addressing emerging challenges in this dynamic field. In this survey, we critically...

Full description

Saved in:

Bibliographic Details
Main Authors:	Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Atmosphere
Subjects:	machine learning weather forecasting deep learning survey
Online Access:	https://www.mdpi.com/2073-4433/16/1/82
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short- to Medium-Term Weather Forecast Skill of the AI-Based Pangu-Weather Model Using Automatic Weather Stations in China
by: Siyi Xu, et al.
Published: (2025-01-01)

Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal
by: Supath Dhital, et al.
Published: (2024-06-01)

Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity
by: Adem Üntez, et al.
Published: (2022-03-01)

Sensory Precipitation Forecast Using Artificial Neural Networks and Decision Trees
by: Ünal Kızıl, et al.
Published: (2022-06-01)

Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too?
by: Susan Moore Mauroux
Published: (2016-07-01)

Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China
by: Tiantian Tang, et al.
Published: (2025-01-01)

Machine learning models and methods for solving optimization and forecasting problems of the work of seaports
by: M. N. Lukashevich, et al.
Published: (2022-12-01)

An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting
by: CHEN Zeming, et al.
Published: (2025-01-01)

AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
by: Ayesha Nadeem, et al.
Published: (2024-09-01)

Lunar Calendar Usage to Improve Forecasting Accuracy Rainfall via Machine Learning Methods
by: Gumgum Darmawan, et al.
Published: (2025-01-01)

Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method
by: Jiajie Zhen, et al.
Published: (2025-03-01)

Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics—A Simulation Study
by: Lena Schmid, et al.
Published: (2024-12-01)

Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models
by: Hyesung Park, et al.
Published: (2025-01-01)

A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions
by: Ramon Dalmau, et al.
Published: (2025-02-01)

Time series forecasting techniques applied to hydroelectric generation systems
by: Julio Barzola-Monteses, et al.
Published: (2025-03-01)

Geospatial Forecasting of Electric Energy in Distribution Systems Using Segmentation and Machine Learning with Convolutional Methods
by: Héctor Chávez, et al.
Published: (2025-01-01)

A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
by: Zongxu Liu, et al.
Published: (2025-01-01)

Learning-based pattern-data-driven forecast approach for predicting future well responses
by: Yeongju Kim, et al.
Published: (2025-02-01)

The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks
by: Sunku V.S., et al.
Published: (2025-02-01)

Forecasting insect abundance using time series embedding and machine learning
by: Gabriel R. Palma, et al.
Published: (2025-03-01)

Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting
by: Ang Guo, et al.
Published: (2025-01-01)

Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
by: Jared D. Willard, et al.
Published: (2025-01-01)

A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias
by: Longjiang Song, et al.
Published: (2025-01-01)

Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
by: Ibrahim Abdulwahab, et al.
Published: (2024-07-01)

A Vegetable-Price Forecasting Method Based on Mixture of Experts
by: Chenyun Zhao, et al.
Published: (2025-01-01)

Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall
by: Hira Farman, et al.
Published: (2024-12-01)

Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas
by: P. Casas-Gómez, et al.
Published: (2025-03-01)

A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques
by: Mamunur Rashid, et al.
Published: (2024-01-01)

Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks
by: Tyanita Puti Marindah Wardhani, et al.
Published: (2025-01-01)

A Deep-Learning Prediction Model for Imbalanced Time Series Data Forecasting
by: Chenyu Hou, et al.
Published: (2021-12-01)

A survey of MRI-based brain tissue segmentation using deep learning
by: Liang Wu, et al.
Published: (2024-12-01)

Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air
by: Jiayu Yang, et al.
Published: (2025-01-01)

Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning
by: Ning Yu, et al.
Published: (2018-09-01)

Machine learning-based spectrum occupancy prediction: a comprehensive survey
by: Mehmet Ali Aygül, et al.
Published: (2025-01-01)

Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support
by: John W. Makokha, et al.
Published: (2025-02-01)

Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations
by: Bartosz Czernecki, et al.
Published: (2021-03-01)

LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting
by: Saleh Albahli
Published: (2025-01-01)

Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon
by: Abhishu Oza, et al.
Published: (2025-01-01)

A novel machine learning approach for portfolio optimization
by: Saman Haratizadeh, et al.
Published: (2023-09-01)

Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model
by: Shengli Wang, et al.
Published: (2025-01-01)