khoehlein / CNNs-for-Wind-Field-Downscaling
Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, Michael Kern, Timothy Hewson and Rüdiger Westermann
☆15Updated 4 years ago
Alternatives and similar repositories for CNNs-for-Wind-Field-Downscaling:
Users that are interested in CNNs-for-Wind-Field-Downscaling are comparing it to the libraries listed below
- ☆33Updated 2 years ago
- Deep-learning Based Climate Downscaling of Precipitation Data☆12Updated 4 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆17Updated 3 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆68Updated 3 years ago
- Deep learning approaches for statistical downscaling in climate☆71Updated 2 years ago
- ☆24Updated 10 months ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- post-processing experiments with neural networks☆61Updated 3 years ago
- Pytorch implementation of paper "REMNet: Recurrent Evolution Memory-aware Network for Accurate Long-term Weather Radar Echo Extrapolation…☆11Updated last year
- Uses machine learning to predict convective initiation and decay from satellite data.☆24Updated last year
- A collection of Python scripts for running WRF with the DART data assimilation system☆30Updated 2 years ago
- a GAN for precipitation downscaling☆41Updated 3 years ago
- A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.☆19Updated 3 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆30Updated 5 months ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆19Updated last year
- ☆40Updated 3 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 2 years ago
- A NWP precipitation bias correction model based on Unet☆18Updated 2 years ago
- 2021年统计后处理培训教程.☆18Updated 3 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆91Updated 9 months ago
- Diffusion for climate downscaling☆57Updated 10 months ago
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆16Updated last year
- Simulate SEVIRI satellite channels from WRF output☆20Updated 4 months ago
- Python code to assist in familiarizing meteorologists with machine learning☆59Updated 2 years ago
- 读取FY4A的所有产品☆33Updated 3 years ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆51Updated 3 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆13Updated last year
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago