Alternatives and similar repositories for subseasonal_data

Users that are interested in subseasonal_data are comparing it to the libraries listed below

• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆56Updated 11 months ago
• duncanwp / ClimateBench
  ☆110Updated last year
• pangeo-data / mldata
  ML Datasets Catalog
  ☆60Updated 2 years ago
• tung-nd / stormer
  ☆72Updated 10 months ago
• mllam / neural-lam
  Research Software for Neural Weather Prediction for Limited Area Modeling
  ☆189Updated 2 weeks ago
• salvaRC / Graphino
  Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".
  ☆33Updated 3 years ago
• leap-stc / ClimSim
  An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
  ☆159Updated 11 months ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆40Updated 9 months ago
• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆119Updated last week
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆34Updated 4 years ago
• brightbandtech / ExtremeWeatherBench
  Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
  ☆91Updated this week
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆32Updated last month
• ai2cm / ace
  Ai2 Climate Emulator: fast machine learning models for weather and climate prediction
  ☆166Updated this week
• Earth-Intelligence-Lab / LocalizedWeather
  This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".
  ☆53Updated 3 months ago
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆94Updated 10 months ago
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆105Updated 10 months ago
• darothen / ai-models-for-all
  Run AI NWP forecasts hassle-free, serverless in the cloud!
  ☆116Updated last year
• p-hss / consistency-climate-downscaling
  ☆36Updated 4 months ago
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆174Updated this week
• leap-stc / ChaosBench
  ☆47Updated 10 months ago
• spcl / ens10
  Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset
  ☆29Updated 3 years ago
• konstantinklemmer / spate-gan
  SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
  ☆27Updated 3 years ago
• openclimatefix-archives / satflow
  Satellite Optical Flow with machine learning models
  ☆63Updated 2 years ago
• iarai / weather4cast-2022
  Starter Kit for the NeurIPS 2022 Weather4cast competition
  ☆55Updated 3 years ago
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆18Updated last month
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆24Updated 9 months ago
• google-research-datasets / global_streamflow_model_paper
  ☆66Updated last year
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆37Updated 2 years ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆24Updated this week
• modons / DL-weather-dynamics
  ☆22Updated last year