aserifi / convolutional-downscaling
Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks
☆20Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for convolutional-downscaling
- Deep learning approaches for statistical downscaling in climate☆69Updated 2 years ago
- ☆29Updated last year
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆12Updated 3 years ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆12Updated last year
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆83Updated 3 months ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆30Updated this week
- ☆16Updated last week
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆33Updated 2 years ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆47Updated 2 weeks ago
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated last year
- Quantification of global drought recovery probability based on Vine Copula☆13Updated 9 months ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆12Updated 4 years ago
- Python code to read the netcdf formatted tropical cyclone tracks generated from HighResMIP simulations☆14Updated 3 years ago
- A line of code to analyze climate☆31Updated last week
- A Python Package for Statistical Analysis of Climate☆58Updated 3 months ago
- Weather Research and Forecasting (WRF) model with moisture tracers☆22Updated 5 months ago
- ☆26Updated 5 months ago
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆25Updated 2 years ago
- Simulate SEVIRI satellite channels from WRF output☆17Updated 11 months ago
- ☆19Updated 5 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆72Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Accompanying code for CCAM dataset☆17Updated 9 months ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 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".☆30Updated this week
- ☆38Updated 3 years ago
- Reservoir Assessment Tool☆25Updated last week
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆14Updated 5 months ago
- Jupyter notebooks for WRF-Hydro trainings☆50Updated 3 months ago