hammad93 / hurricane-net
A deep learning framework for forecasting Atlantic hurricane trajectory and intensity.
☆47Updated 7 months ago
Alternatives and similar repositories for hurricane-net:
Users that are interested in hurricane-net are comparing it to the libraries listed below
- Subseasonal forecasting models☆53Updated 3 months ago
- ML Datasets Catalog☆57Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- A High-Performance Data Science Toolkit for the Earth Sciences☆67Updated 10 months ago
- matlab code used for analysis in Jacox et al. 2022☆10Updated 3 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆12Updated 3 years ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆39Updated 5 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆51Updated 3 months ago
- Beta for Pangeo Postprocessing☆17Updated 4 years ago
- ramp kit for storm intensity forecasting☆22Updated 6 years ago
- Forest Fire Danger - Calculation of indices for forest fire risk assessment in weather and climate data☆30Updated 3 months ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆21Updated last month
- Predicting weather by machine learning.☆14Updated 4 years ago
- A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data☆40Updated 2 years ago
- Deep learning for climate modeling.☆40Updated 6 years ago
- Discover the ECMWF Summer of Weather Code 2022 challenges.☆12Updated 2 years ago
- ☆17Updated 11 months ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆27Updated last month
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆27Updated 2 years ago
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆12Updated 2 months ago
- Estimate linear moments for statistical distribution functions☆37Updated 2 years ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆50Updated last week
- post-processing experiments with neural networks☆61Updated 3 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆17Updated 3 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 2 years ago
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Updated 3 years ago
- Deep Learning Models for Wildfire Danger Forecasting☆71Updated 2 years ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆23Updated last month