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
- ☆31Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆90Updated 7 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆16Updated 3 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 2 years ago
- Deep learning approaches for statistical downscaling in climate☆72Updated 2 years ago
- Deep-learning Based Climate Downscaling of Precipitation Data☆11Updated 2 months ago
- A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.☆18Updated 3 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆30Updated 4 months ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆67Updated 3 years ago
- A collection of Python scripts for running WRF with the DART data assimilation system☆30Updated last year
- post-processing experiments with neural networks☆61Updated 3 years ago
- ☆23Updated 9 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆12Updated last year
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆15Updated last year
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- Jupyter notebooks for WRF-Hydro trainings☆53Updated 7 months ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- 2021年统计后处理培训教程.☆18Updated 3 years ago
- Code for working with the SEVIR weather dataset☆29Updated 2 years ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆32Updated 2 years ago
- ☆40Updated 3 years ago
- Pipeline for statistical downscaling of earth system model output☆12Updated 5 years ago
- RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆33Updated last year
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆49Updated 2 months ago
- TATHU is a Python package for tracking and analyzing the life cycle of convective systems.☆29Updated 3 weeks ago
- ☆24Updated 2 years ago
- Pre- and post-processing tools for WRF☆32Updated 3 years ago
- Bias Correction Tool for GPM precipitation data☆10Updated 2 years ago
- Containerized application for running individual tasks in a larger, orchestrated CMIP6 bias-adjustment and downscaling workflow.☆16Updated last week