23ccozad / hurricane-wind-speed-cnnLinks
A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image
☆32Updated 3 years ago
Alternatives and similar repositories for hurricane-wind-speed-cnn
Users that are interested in hurricane-wind-speed-cnn are comparing it to the libraries listed below
Sorting:
- EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies☆72Updated 3 years ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆38Updated 3 years ago
- Precipitation Nowcasting using DL - CS230 Deep Learning course group project☆22Updated 5 years ago
- A unified interface to access tropical cyclone best-track datasets in different formats.☆55Updated 7 months ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆16Updated 3 months ago
- Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms☆22Updated 4 years ago
- Scripts of downloading weather data: satellite and reanalysis data☆22Updated 2 years ago
- a GAN for precipitation downscaling☆42Updated 3 years ago
- CNN based wind speed estimation of tropical cyclones based on IR/WV satellite imagery☆13Updated 7 years ago
- Web Interface for Wind Speed Prediction☆20Updated 2 years ago
- Python API for interfacing with the IBTrACS tropical cyclone best track dataset☆13Updated last year
- Code for CLIMEA-BCUD☆12Updated 2 years ago
- Deep Learning Models for Wildfire Danger Forecasting☆75Updated 3 years ago
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆96Updated 3 years ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆35Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago
- Deep learning approaches for statistical downscaling in climate☆73Updated 3 years ago
- Python code to assist in familiarizing meteorologists with machine learning☆60Updated 2 years ago
- This is the repo for global precipitation nowcasting using IMERG dataset.☆15Updated last year
- Notebooks for CIRA (Cooperative Institute for Research in the Atmosphere) machine-learning short course.☆23Updated last year
- ramp kit for storm intensity forecasting☆21Updated 7 years ago
- Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"☆87Updated 5 years ago
- SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud to…☆14Updated 2 years ago
- Typhoon Prediction☆13Updated 5 years ago
- Core implementation of the 4DVarNet architecture☆26Updated last year
- 2021年统计后处理培训教程.☆18Updated 4 years ago
- Codes and solutions for atmospheric data and modeling☆28Updated this week
- Uses machine learning to predict convective initiation and decay from satellite data.☆25Updated 2 years ago
- Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low …☆13Updated 6 years ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆56Updated 9 months ago