Papers with Code 아카이브

Weather Forecasting

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 5
보존된 평가 기록: 29

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sheoyon-jhin/contime

공식 코드

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization

https://github.com/shifts-project/shifts

공식 코드

Shifts 2.0: Extending The Dataset of Real Distributional Shifts

https://github.com/siming-liang/ensfinpainting

공식 코드

Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations

https://github.com/sipposip/ensemble-neural-network-weather-forecasts

공식 코드

Ensemble methods for neural network-based weather forecasts

https://github.com/skashodhiya/Predicting-Landfall-s-Location-and-Time-of-a-Tropical-Cyclone-Using-Reanalysis-Data

공식 코드

Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data

https://github.com/snap-stanford/le_pde

공식 코드

Learning to Accelerate Partial Differential Equations via Latent Global Evolution

https://github.com/sparcus-technologies/firesru

공식 코드

Advancing Eurasia Fire Understanding Through Machine Learning Techniques

https://github.com/spcl/deep-weather

공식 코드

Deep Learning for Post-Processing Ensemble Weather Forecasts

https://github.com/spcl/diffda

공식 코드

DiffDA: a Diffusion Model for Weather-scale Data Assimilation

https://github.com/spcl/ens10

공식 코드

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts

https://github.com/stanfordmlgroup/ngboost

공식 코드

NGBoost: Natural Gradient Boosting for Probabilistic Prediction

https://github.com/suli24/edl-stormcast

공식 코드

Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events

https://github.com/taohan10200/cra5

공식 코드

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer

https://github.com/taohan10200/weather-5k

공식 코드

How far are today's time-series models from real-world weather forecasting applications?

https://github.com/tb862/higflow

공식 코드

Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks

https://github.com/thuml/predrnn-pytorch

공식 코드

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

https://github.com/tomoyi/ewmoe

공식 코드

EWMoE: An effective model for global weather forecasting with mixture-of-experts

https://github.com/tonyzyl/ladcast

공식 코드

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting

https://github.com/tpys/fuxi

공식 코드

FuXi Weather: A data-to-forecast machine learning system for global weather

https://github.com/tung-nd/stormer

공식 코드

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

https://github.com/vincent-leguen/PhyDNet

공식 코드

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

https://github.com/visual-xai-for-time-series/attribution-stability-indicator

공식 코드

Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions

https://github.com/wendig/gd-caf

공식 코드

Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting

https://github.com/williamlaplante/st-rcgp

공식 코드

Robust and Conjugate Spatio-Temporal Gaussian Processes

https://github.com/windborne/weathermesh-3

공식 코드

WeatherMesh-3: Fast and accurate operational global weather forecasting

https://github.com/wuxinwang1997/dabench

공식 코드

A Benchmark for AI-based Weather Data Assimilation

https://github.com/xiangyanfei212/ADAF

공식 코드

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting

https://github.com/xiongxiaoxu/sst

공식 코드

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting

https://github.com/yandex-research/shifts

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Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

https://github.com/ydjoel/solarsatground

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On the Relationship Between Ground- and Satellite- Based Global Horizontal Irradiance

https://github.com/yingtaoluo/phydl-nwp

공식 코드

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting

https://github.com/youngseogchung/parity-calibration

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Parity Calibration

https://github.com/yuangao-yg/oneforecast

공식 코드

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

https://worksheets.codalab.org/worksheets/0xb6d027ee127e422989ab9115726c5411

공식 코드

Verified Uncertainty Calibration

https://github.com/2024-MindSpore-1/Code9/tree/main/W-MAE-main

W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

https://github.com/AILAB-CEFET-RJ/stconvs2s

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting

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