ZiluM / Deep-learning-for-multi-year-ENSO-ReproductionLinks
Deep learning for multi-year ENSO forecasts Reproduction
☆55Updated last year
Alternatives and similar repositories for Deep-learning-for-multi-year-ENSO-Reproduction
Users that are interested in Deep-learning-for-multi-year-ENSO-Reproduction are comparing it to the libraries listed below
Sorting:
- CNN based ENSO all season forecast model☆19Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆35Updated 2 years ago
- Validation of the Pangu Weather Forecasting Model against Real-World Meteorological Observations☆76Updated last year
- ☆40Updated 4 years ago
- ☆10Updated last year
- ☆34Updated 4 months ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆90Updated last month
- CNN for climate forecast☆90Updated last year
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 4 years ago
- (Journal of Hydrology 2025) U-RNN High-resolution spatiotemporal nowcasting of urban flooding☆66Updated 6 months ago
- A NWP precipitation bias correction model based on Unet☆19Updated 3 years ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆29Updated 2 years ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆24Updated 2 years ago
- A Python Package for Statistical Analysis of Climate☆64Updated last year
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Updated 4 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- Python code to assist in familiarizing meteorologists with machine learning☆33Updated 10 months ago
- ☆56Updated last year
- ☆112Updated last year
- The main goal of FengWu-GHR is to enable LWM inference with minimal setup and state-of-the-art performance on a wide variety of hardware …☆13Updated 7 months ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆25Updated 2 years ago
- AI Challenges based on the SEVIR weather dataset☆45Updated 4 months ago
- A line of code to analyze climate☆49Updated last week
- Awesome paper about AI for atmosphere science and oceanography☆33Updated 2 years ago
- 提供一些关于气象应用开发的基础功能函数,包括数组处理、数学函数、物理常数、时间处理、客观分析等模块。☆54Updated 9 months ago
- ☆27Updated 3 years ago
- ☆23Updated 3 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆96Updated last year
- post-processing experiments with neural networks☆63Updated 3 years ago