cryptonymous9 / Augmented-ConvLSTM
A statistical downscaling approach using ConvLSTMs.
☆27Updated 3 years ago
Alternatives and similar repositories for Augmented-ConvLSTM:
Users that are interested in Augmented-ConvLSTM are comparing it to the libraries listed below
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆21Updated 2 years ago
- Deep learning approaches for statistical downscaling in climate☆71Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆17Updated 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
- ☆33Updated 2 years ago
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆45Updated 4 years ago
- a GAN for precipitation downscaling☆41Updated 3 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 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
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆68Updated 3 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆30Updated 5 months 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 library designed to implement deep learning algorisms to climate data for weather and climate prediction.☆21Updated 2 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- LSTM Data and Model for Streamflow Forecasting☆34Updated 3 years ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆37Updated 2 years ago
- Deep-learning Based Climate Downscaling of Precipitation Data☆12Updated 4 months ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 2 years ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆17Updated 3 years ago
- ☆22Updated 4 years ago
- ☆40Updated 3 years ago
- Pipeline for statistical downscaling of earth system model output☆12Updated 5 years ago
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆92Updated 2 years ago
- ☆15Updated 4 years ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.☆18Updated 2 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆13Updated last year
- public codes for fusing CNN networks☆22Updated 5 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated last year