jleinonen / weather4cast-stage1
Solution to the Weather4cast 2021 Stage 1 challenge
☆15Updated 3 years ago
Alternatives and similar repositories for weather4cast-stage1
Users that are interested in weather4cast-stage1 are comparing it to the libraries listed below
Sorting:
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆24Updated last month
- ☆33Updated 2 years ago
- Code accompanying our IARAI Weather4cast Challenge☆48Updated 3 years ago
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆27Updated 8 months ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 7 months ago
- ☆40Updated 3 years ago
- Subseasonal forecasting models☆53Updated 3 months ago
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated last month
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆39Updated last week
- Machine learning emulators for microphysical processes.☆13Updated last week
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- R&D Python package for processing ICON data with xarray☆10Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- Beta for Pangeo Postprocessing☆17Updated 4 years ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 4 years ago
- Post-processing system that provides probabilistic forecasts at point scale.☆10Updated 4 years ago
- ☆14Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆12Updated 3 years ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆16Updated 2 years ago
- ML Datasets Catalog☆57Updated last year
- 📡 Process meteorological radar data. 📡☆18Updated 3 years ago
- ☆14Updated 4 years ago
- Satellite Optical Flow with machine learning models☆61Updated last year
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- A python library to extract topographical features from elevation data.☆21Updated last year
- A spherical CNN for weather forecasting☆72Updated 2 years ago
- Starter Kit for the NeurIPS 2022 Weather4cast competition☆55Updated 2 years ago