天气预报论文趋势 2023–2026
数值天气与 AI
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 356 篇被归入该主题的论文。
主要结论
- 天气预报论文从 2023 年的 26 篇增长到 2026 年的 158 篇,三年间扩大到约 6.1 倍。
- NeurIPS 是发天气预报论文最多的会议,2023–2026 年共 137 篇,占四个会议总量的 38%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 13 篇。
- 在「气候与物理科学」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的科学仿真是 4.3 倍,天气预报是 6.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 10 | 7 | 4 | 5 | 26 |
| 2024 | 29 | 16 | 24 | 8 | 77 |
| 2025 | 37 | 22 | 29 | 7 | 95 |
| 2026 | 61 | 34 | 52 | 11 | 158 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026AdaST: Adaptive Coupling for Spatial-Temporal Forecasting
- ICML 2026Doubly Outlier-Robust Online Infinite Hidden Markov Model
- ICLR 2026ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting
- CVPR 2026NimbusGS Unified 3D Scene Reconstruction under Hybrid Weather
- NeurIPS 2025DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
- ICML 2025Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
- ICLR 2025CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
- CVPR 2025Continuous Adverse Weather Removal via Degradation-Aware Distillation
- NeurIPS 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
- ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
- ICLR 2024ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
- CVPR 2024HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
- NeurIPS 2023SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
- ICML 2023ClimaX: A foundation model for weather and climate
- ICLR 2023Compressing multidimensional weather and climate data into neural networks
- CVPR 2023Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
- NeurIPS 2026AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting
- ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
- ICLR 2026TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State
- CVPR 2026STCast Adaptive Boundary Alignment for Global and Regional Weather Forecasting
全部天气预报论文
共 356 篇,第 7 / 8 页
- ICML 2024What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
- NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
- NeurIPS 2024Are Self-Attentions Effective for Time Series Forecasting?
- NeurIPS 2024AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
- NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
- NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
- NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
- NeurIPS 2024DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
- NeurIPS 2024ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
- NeurIPS 2024FilterNet: Harnessing Frequency Filters for Time Series Forecasting
- NeurIPS 2024FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
- NeurIPS 2024From Similarity to Superiority: Channel Clustering for Time Series Forecasting
- NeurIPS 2024Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
- NeurIPS 2024Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
- NeurIPS 2024Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
- NeurIPS 2024Multivariate Probabilistic Time Series Forecasting with Correlated Errors
- NeurIPS 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
- NeurIPS 2024On conditional diffusion models for PDE simulations
- NeurIPS 2024Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
- NeurIPS 2024Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
- NeurIPS 2024Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
- NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
- NeurIPS 2024Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
- NeurIPS 2024Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
- NeurIPS 2024Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
- NeurIPS 2024Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
- NeurIPS 2024SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
- NeurIPS 2024Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
- NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
- NeurIPS 2024TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
- CVPR 2023Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
- CVPR 2023Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
- CVPR 2023ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals
- CVPR 2023Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
- CVPR 2023V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
- ICLR 2023A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
- ICLR 2023Compressing multidimensional weather and climate data into neural networks
- ICLR 2023Continuous PDE Dynamics Forecasting with Implicit Neural Representations
- ICLR 2023Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
- ICLR 2023Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
- ICLR 2023Learning Fast and Slow for Online Time Series Forecasting
- ICLR 2023Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
- ICML 2023ClimaX: A foundation model for weather and climate
- ICML 2023Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
- ICML 2023Learning Deep Time-index Models for Time Series Forecasting
- ICML 2023The Numerical Stability of Hyperbolic Representation Learning
- NeurIPS 2023BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
- NeurIPS 2023ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
- NeurIPS 2023Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
- NeurIPS 2023Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查天气预报在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "weather-forecasting"}
常见问题
- 2023–2026 年四大会议一共有多少篇天气预报论文?
- 共 356 篇,按年份分别是 2023 年 26 篇、2024 年 77 篇、2025 年 95 篇、2026 年 158 篇。
- NeurIPS 2026 有多少篇天气预报论文?
- NeurIPS 2026 有 61 篇天气预报论文,上一届是 37 篇。
- ICLR 2026 有多少篇天气预报论文?
- ICLR 2026 有 34 篇天气预报论文,上一届是 22 篇。
- ICML 2026 有多少篇天气预报论文?
- ICML 2026 有 52 篇天气预报论文,上一届是 29 篇。
- CVPR 2026 有多少篇天气预报论文?
- CVPR 2026 有 11 篇天气预报论文,上一届是 7 篇。
- 哪个会议的天气预报论文最多?
- NeurIPS,2023–2026 年共 137 篇。