Imagen de Portada

Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Deng, Xingyue, Liang, Xuechen
Formato:	Preprint
Publicado:	2026
Materias:	Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
por: Mbarak, Mahmoud, et al.
Publicado: (2025)

A Hierarchical Deep Learning Model for Predicting Pedestrian-Level Urban Winds
por: Snaiki, Reda, et al.
Publicado: (2025)

Improving Typhoon Predictions by Integrating Data-Driven Machine Learning Models with Physics Models Based on the Spectral Nudging and Data Assimilation
por: Niu, Zeyi, et al.
Publicado: (2024)

A Case Study of the Tornadic Supercell in the Province of Pampanga, Philippines (27 May 2024)
por: Capuli, Generich H., et al.
Publicado: (2025)

A Deep Learning Model of Lightning Stroke Density
por: Jones II, Randall, et al.
Publicado: (2025)

Radar-Based Raindrop Size Distribution Prediction: Comparing Analytical, Neural Network, and Decision Tree Approaches
por: Humphreys, R. J.
Publicado: (2026)

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
por: Behrens, Gunnar, et al.
Publicado: (2024)

Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis
por: Vonich, P. Trent, et al.
Publicado: (2024)

Predicting Forecast Error for the HRRR Using LSTM Neural Networks: A Comparative Study Using New York and Oklahoma State Mesonets
por: Evans, David Aaron, et al.
Publicado: (2025)

Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model
por: Pang, Mijie, et al.
Publicado: (2025)

Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework
por: Fernandez, M. A., et al.
Publicado: (2025)

A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
por: Cresswell-Clay, Nathaniel, et al.
Publicado: (2024)

Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
por: Pu, Jingchen, et al.
Publicado: (2026)

Machine Learning-Based Prediction of Heat Index in Selected U.S. Cities
por: Han, Yushan, et al.
Publicado: (2026)

A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models
por: Pallotta, Giuliana, et al.
Publicado: (2026)

Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
por: Loveday, Nicholas, et al.
Publicado: (2025)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
por: Lieberman, Kelsey, et al.
Publicado: (2026)

Deep Learning Models for Flood Predictions in South Florida
por: Shi, Jimeng, et al.
Publicado: (2023)

Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
por: Buono, Gian Luca, et al.
Publicado: (2026)

WP-MIP: An Artificial Intelligence, Hybrid and Physically Based Model Intercomparison Project for Weather Prediction
por: McTaggart-Cowan, Ron, et al.
Publicado: (2026)

Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
por: Hao, Rixu, et al.
Publicado: (2025)

Climate network and complexity based ENSO forecast for 2026
por: Ludescher, Josef, et al.
Publicado: (2026)

Machine Learning (ML)-Physics Fusion Model Outperforms Both Physics-Only and ML-Only Models in Typhoon Predictions
por: Niu, Zeyi, et al.
Publicado: (2025)

Enhancing Deterministic Freezing Level Predictions in the Northern Sierra Nevada Through Deep Neural Networks
por: Gorooh, Vesta Afzali, et al.
Publicado: (2025)

Extended Aerosol Optical Depth (AOD) time series analysis in an Alpine Valley: A Comparative Study from 2007 to 2023
por: Wagner, Jochen, et al.
Publicado: (2023)

Remote Influences of Land Surface Temperature and their Implications for Sea Surface Temperature Patterns
por: Zhang, Bosong, et al.
Publicado: (2026)

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
por: Zhou, Xiaobing, et al.
Publicado: (2026)

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
por: Luong, Minh-Khanh, et al.
Publicado: (2025)

An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
por: Gultekin, Cem, et al.
Publicado: (2024)

Identifying Lightning Processes in ERA5 Soundings with Deep Learning
por: Ehrensperger, Gregor, et al.
Publicado: (2022)

Predictability of Storms in an Idealized Climate Revealed by Machine Learning
por: Yao, Wuqiushi, et al.
Publicado: (2025)

Noctilucent Clouds Modulated by Strong 5-day Planetary Wave in 2025: Amplitudes, Phases and Altitudes Based on Ground-Based Observations and Satellite Temperature Data
por: Ugolnikov, Oleg S., et al.
Publicado: (2025)

Reconstructing Pre-Satellite Tropical Cyclogenesis Climatology Using Deep Learning
por: Kieu, Chanh, et al.
Publicado: (2025)

A Data-Driven Regional Model for Skillful Medium-Range Typhoon Prediction
por: Niu, Zeyi, et al.
Publicado: (2026)

DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
por: Shukla, Pratik, et al.
Publicado: (2024)

Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments
por: Hua, Zhanxiang, et al.
Publicado: (2025)

Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
por: Akazan, Ange-Clement, et al.
Publicado: (2025)

Net Zero Averted Temperature Increase
por: Lindzen, R., et al.
Publicado: (2024)

Assimilating Observed Surface Pressure into ML Weather Prediction Models
por: Slivinski, Laura C., et al.
Publicado: (2024)

Scaling of Rainfall Intensity and Frequency with Rising Temperatures
por: Yin, Jun, et al.
Publicado: (2026)