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Weather Forecasting
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Weather Forecasting is the prediction of future weather conditions such as precipitation, temperature, pressure and wind.
Source: MetNet: A Neural Weather Model for Precipitation Forecasting
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
Skillful joint probabilistic weather forecasting from marginals
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
PEAR: Equal Area Weather Forecasting on the Sphere
Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE
FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction
Seasonal Prediction with Neural GCM and Simplified Boundary Forcings: Large-scale Atmospheric Variability and Tropical Cyclone Activity
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU
Adversarial Observations in Weather Forecasting
Segregation and Context Aggregation Network for Real-time Cloud Segmentation
Pets: General Pattern Assisted Architecture For Time Series Analysis
Dynamical errors in machine learning forecasts
Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Explainable AI-Based Interface System for Weather Forecasting Model
Example-Based Concept Analysis Framework for Deep Weather Forecast Models
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
WeatherMesh-3: Fast and accurate operational global weather forecasting
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation
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