hammad93 / hurricane-net
A deep learning framework for forecasting Atlantic hurricane trajectory and intensity.
☆46Updated 3 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☆47Updated last month
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- ML Datasets Catalog☆56Updated last year
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year
- ramp kit for storm intensity forecasting☆21Updated 6 years ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆79Updated this week
- Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"☆82Updated 4 years ago
- RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆32Updated 11 months ago
- Lorenz 1996 two time-scale model for learning machine learning☆44Updated 2 months ago
- A dataset plugin for climetlab for the dataset maelstrom-a1☆12Updated last year
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆26Updated 2 years ago
- post-processing experiments with neural networks☆60Updated 3 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆90Updated last year
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆39Updated 2 months ago
- A High-Performance Data Science Toolkit for the Earth Sciences☆66Updated 7 months ago
- Notebooks for AI2ES (NSF Institute for Research on Trustworthy Artificial Intelligence in Weather, Climate, and Coastal Oceanography) sho…☆16Updated last year
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆20Updated last month
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- Deep learning for climate modeling.☆40Updated 5 years ago
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- public codes for fusing CNN networks☆22Updated 4 years ago
- A MetNet implementation in Pytorch and fastai☆31Updated 3 years ago
- This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).☆26Updated 10 months ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆51Updated 7 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- Beta for Pangeo Postprocessing☆16Updated 4 years ago
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- A collection of bias correction techniques written in Python - for climate sciences.☆63Updated this week
- Forecast Verification/Validation Tools in Python☆34Updated last year