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/margotyjx/fmint

공식 코드

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model

https://github.com/martinandrae/continuous-ensemble-forecasting

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Continuous Ensemble Weather Forecasting with Diffusion models

https://github.com/mathexlab/diem-dynamical-metrics-for-ml

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Dynamical errors in machine learning forecasts

https://github.com/matthewachan/hyperdm

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Estimating Epistemic and Aleatoric Uncertainty with a Single Model

https://github.com/matthewyccheung/conformal-metric

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Regression Conformal Prediction under Bias

https://github.com/mauriziofilippone/deep_gp_random_features

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Deep recurrent Gaussian process with variational Sparse Spectrum approximation

https://github.com/mc4117/ResNet_Weather

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Combining distribution-based neural networks to predict weather forecast probabilities

https://github.com/microsoft/ClimaX

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ClimaX: A foundation model for weather and climate

https://github.com/microsoft/WeatherReal-Benchmark

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WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models

https://github.com/mikemccabe210/stabilizing_neural_operators

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Towards Stability of Autoregressive Neural Operators

https://github.com/mllam/neural-lam

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Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

https://github.com/mlsec-group/adversarial-observations

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Adversarial Observations in Weather Forecasting

https://github.com/nathzi1505/forecast-diffmodels

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Forecasting Tropical Cyclones with Cascaded Diffusion Models

https://github.com/nci/fourcastnext

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FourCastNeXt: Optimizing FourCastNet Training for Limited Compute

https://github.com/nec-research/cape-ml4sci

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Learning Neural PDE Solvers with Parameter-Guided Channel Attention

https://github.com/nvidia/earth2mip

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A Practical Probabilistic Benchmark for AI Weather Models

https://github.com/onurbil/TENT

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TENT: Tensorized Encoder Transformer for Temperature Forecasting

https://github.com/pangeo-data/WeatherBench

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WeatherBench: A benchmark dataset for data-driven weather forecasting

https://github.com/patrickesa/stormsurgecastnet

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Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting

https://github.com/pengwei07/dsaf

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DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling

https://github.com/qiq208/weather4cast2021_stage1

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A Variational U-Net for Weather Forecasting

https://github.com/rose-stl-lab/spherical-dyffusion

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Probabilistic Emulation of a Global Climate Model with Spherical DYffusion

https://github.com/rs-lsl/kvp-lsi

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Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space

https://github.com/rudigerbrecht/computing_ensemble_spread_using_gans

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Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks

https://github.com/sagar-garg/WeatherBench

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WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models

https://github.com/sakshi-mishra/LSTM_Solar_Forecasting

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An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning

https://github.com/salvarc/erdm

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Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting

https://github.com/seai-lab/pygbs

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TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

https://github.com/seai-lab/torchspatial

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TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

https://github.com/secilia-cxy/unettfi

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Learning Robust Precipitation Forecaster by Temporal Frame Interpolation

https://github.com/seominseok0429/Implicit-Stacked-Autoregressive-Model-for-Video-Prediction

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Implicit Stacked Autoregressive Model for Video Prediction

https://github.com/seominseok0429/w4c22-simple-baseline-for-weather-forecasting-using-spatiotemporal-context-aggregation-network

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Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network

https://github.com/sftekin/ieee_weather

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Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms

https://github.com/shakirsofi/tensorizingdmd

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A case study of spatiotemporal forecasting techniques for weather forecasting

https://github.com/shengchaochen82/fedpod

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Federated Prompt Learning for Weather Foundation Models on Devices

https://github.com/shengchaochen82/metepfl

공식 코드

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data

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