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 109 篇,第 1 / 3 页
- ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
- ICML 2026Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting
- ICML 2026Baguan-TS: dual in-context learning model for time series forecasting with covariates
- ICML 2026Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
- ICML 2026Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
- ICML 2026Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
- ICML 2026Byte Pair Encoding for Efficient Time Series Forecasting
- ICML 2026Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting
- ICML 2026ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
- ICML 2026ClimateAR: Multi-Scale Autoregressive Generative Modeling for Climate Forecasting
- ICML 2026CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
- ICML 2026Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting
- ICML 2026DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
- ICML 2026Doubly Outlier-Robust Online Infinite Hidden Markov Model
- ICML 2026DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
- ICML 2026DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting
- ICML 2026Ellipsoidal Time Series Forecasting
- ICML 2026EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
- ICML 2026FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting
- ICML 2026FlowState: Sampling-Rate‑Equivariant Time‑Series Forecasting
- ICML 2026From Observations to States: Latent Time Series Forecasting
- ICML 2026From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
- ICML 2026FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
- ICML 2026Global Merger-Arbitrage Forecasting with Language Models
- ICML 2026HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis
- ICML 2026Information Geometry Loss for Time Series Forecasting
- ICML 2026Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising
- ICML 2026L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting
- ICML 2026LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
- ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
- ICML 2026MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
- ICML 2026Nested Spatio-Temporal Time Series Forecasting
- ICML 2026Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation
- ICML 2026Overcoming the Modality Gap in Context-Aided Forecasting
- ICML 2026Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting
- ICML 2026Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
- ICML 2026PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
- ICML 2026PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
- ICML 2026Reviving Error Correction in Modern Deep Time-Series Forecasting
- ICML 2026See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling
- ICML 2026SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
- ICML 2026StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
- ICML 2026Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context
- ICML 2026The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting
- ICML 2026Time Series Forecasting Through the Lens of Dynamics
- ICML 2026TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables
- ICML 2026Transforming Weather Data from Pixel to Latent Space
- ICML 2026U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
- ICML 2026WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
- ICML 2026What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
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。