leomuckley / Multi-Input-ConvLSTM
TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.
☆17Updated 3 years ago
Alternatives and similar repositories for Multi-Input-ConvLSTM:
Users that are interested in Multi-Input-ConvLSTM are comparing it to the libraries listed below
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆16Updated last year
- LSTM Data and Model for Streamflow Forecasting☆34Updated 3 years ago
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆33Updated 2 years ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆35Updated 2 years ago
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆45Updated 4 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆32Updated 4 years ago
- ☆29Updated 4 years ago
- SMAP soil moisture downscaling☆12Updated last year
- 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
- Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…☆19Updated 2 years ago
- ☆12Updated 2 years ago
- Deep learning approaches for statistical downscaling in climate☆72Updated 2 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- Spatial interpolation of point Tair data from private weather stations using a Random Forest model with satellite and other predictor dat…☆11Updated 3 years ago
- Code for implementing Extended Triple Collocation (ETC)☆11Updated 9 years ago
- ☆22Updated 4 years ago
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆21Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆16Updated 3 years ago
- Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning☆13Updated 3 years ago
- Accompanying code for CCAM dataset☆22Updated last year
- a GAN for precipitation downscaling☆41Updated 3 years ago
- Lisflood Test Catchments use cases☆21Updated 8 months ago
- A collection of bias correction techniques written in Python - for climate sciences.☆67Updated last week
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆19Updated 3 years ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- 12 baseflow separation methods with automatic parameter calibration☆26Updated 3 weeks ago
- Downscaling Oceanographic Satellite Data with Convolutional Neural Networks☆21Updated 4 years ago
- ☆40Updated 3 years ago