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 137 篇,第 1 / 3 页
- NeurIPS 2026AdaST: Adaptive Coupling for Spatial-Temporal Forecasting
- NeurIPS 2026AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting
- NeurIPS 2026AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
- NeurIPS 2026AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting
- NeurIPS 2026AtmoZero: Self-Play Post-Training for Caption-Free Weather Time-Series Captioning
- NeurIPS 2026Benchmarking Sensor-Fault Robustness in Forecasting
- NeurIPS 2026Beyond Linear Decoders: Dynamic Expert-Coupled Optimal Decoding for Time Series Forecasting
- NeurIPS 2026BlendCast: Teaching Vision-Language Model to Anticipate Member Skill in Weather Ensembles
- NeurIPS 2026BucpTSF: Breaking the Uniform Computation Paradigm in Time-Series Forecasting
- NeurIPS 2026Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting
- NeurIPS 2026DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting
- NeurIPS 2026DSR-TSF: Spectrum-Driven Dynamic Routing for Efficient Long-Horizon Time Series Forecasting
- NeurIPS 2026Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting
- NeurIPS 2026Dynamic Quadtree Tokenization for Autoregressive PDE Forecasting
- NeurIPS 2026DynaPFN: Zero-Shot Dynamical System Forecasting with Tabular Prior-Fitted Networks
- NeurIPS 2026Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
- NeurIPS 2026EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting
- NeurIPS 2026Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting
- NeurIPS 2026ExtrapAir: Air Quality Inference at Unmonitored Locations via Weather-Bridged Spatial Attention
- NeurIPS 2026fev-bench: A Realistic Benchmark for Time Series Forecasting
- NeurIPS 2026Filter Banks: from Low-Rank Representations to Deep Models for Efficient Time Series Forecasting
- NeurIPS 2026FISC: Time-Series Forecasting via First-Layer Statistical Calibration Constraints
- NeurIPS 2026Forecasting Downstream Performance of LLMs With Proxy Metrics
- NeurIPS 2026FreeOcc: Decoupling Ego-Motion for Efficient 4D Occupancy Forecasting via Continuous Flow Matching
- NeurIPS 2026Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
- NeurIPS 2026IMTS-Tokenizer: Time-Aware Tokenization for Irregular Multivariate Time Series Forecasting
- NeurIPS 2026Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting
- NeurIPS 2026Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting
- NeurIPS 2026MDK-MoE: Multi-view Decomposed Kalman Mixture of Experts Framework for Non-stationary Time Series Forecasting
- NeurIPS 2026MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
- NeurIPS 2026MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting
- NeurIPS 2026MSAR: Next-Scale Autoregressive Forecasting for Time Series via Modular Multi-Scale Decoupling
- NeurIPS 2026Multivariate Time Series Forecasting needs Cross Variable Loss
- NeurIPS 2026Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting
- NeurIPS 2026Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
- NeurIPS 2026OccStress: Stress-Testing the 4D Occupancy Forecasting Chain
- NeurIPS 2026On Neural Scaling Laws for Weather Emulation through Continual Training
- NeurIPS 2026Paloma: Phase-Conditioned Residual Modulation for Time Series Forecasting
- NeurIPS 2026PhysTC: A Physics-Enhanced Dataset and Architecture for High-Precision Tropical Cyclone Forecasting
- NeurIPS 2026PROLA: Principal-Orthogonal Low-rank Adaptation for Predictive Spatiotemporal Weather Downscaling
- NeurIPS 2026QWaveNet: Quantum-Enhanced Wavelet Network for Time Series Forecasting
- NeurIPS 2026Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective
- NeurIPS 2026Robust Residual Correction via Selective Deployment for Time Series Forecasting
- NeurIPS 2026Rubato: Signature Attention for Irregular Multivariate Time Series Forecasting
- NeurIPS 2026SDHilb: Schrödinger Dynamics-Guided Neural Network with Adaptive Multi-Scale Hilbert Transform for Time Series Forecasting
- NeurIPS 2026SIMBAD: Spatio-Temporal Traffic Forecasting Robust to Aperiodicity
- NeurIPS 2026SLiDE: Structured Linear Dynamics for Forecasting with Exogenous Inputs
- NeurIPS 2026SPATIALEPIBENCH: Benchmarking Spatial Information and Epidemic Priors in Forecasting
- NeurIPS 2026SpikeSTAG: A Dendritic Compartmental Spiking Graph Network for Multivariate Time-Series Forecasting
- NeurIPS 2026Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators
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。