gauchm / mts-lstmLinks
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
☆39Updated 4 years ago
Alternatives and similar repositories for mts-lstm
Users that are interested in mts-lstm are comparing it to the libraries listed below
Sorting:
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆51Updated 5 years ago
- Example notebook, showing how to use LSTMs for rainfall-runoff modeling☆71Updated 3 years ago
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆23Updated 3 years ago
- Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…☆103Updated 5 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆32Updated last year
- LSTM Data and Model for Streamflow Forecasting☆43Updated 8 months ago
- Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…☆23Updated 3 years ago
- A statistical downscaling approach using ConvLSTMs.☆28Updated 4 years ago
- TorchHydro: datasets, and models for watershed hydrological modeling☆22Updated last month
- Hybrid Hydrological modeling using Deep Learning methods☆25Updated last year
- ☆15Updated 4 months ago
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated 2 years ago
- A collection of bias correction techniques written in Python - for climate sciences.☆80Updated 3 weeks ago
- codes for reproducing the results presented in the manuscript by Xia et al.☆10Updated 3 years ago
- Toolbox for Streamflow Signatures in Hydrology (TOSSH)☆33Updated 4 months ago
- Global high-resolution hydrologic modeling with 2.94 million river reaches (~90 m DEM)☆23Updated 3 years ago
- Jupyter notebooks for WRF-Hydro trainings☆56Updated 8 months ago
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆14Updated last year
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆60Updated last year
- Machine learning based methods for satellite precipitation downscaling☆14Updated 9 years ago
- Code used to identify and analyze drought clusters from gridded data.☆26Updated 3 years ago
- HOOPLA (HydrOlOgical Prediction LAboratory) is a framework providing a modular system for lumped hydrological modeling.☆17Updated 3 years ago
- Accompanying code for CCAM dataset☆25Updated last year
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆29Updated 3 years ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆60Updated 8 years ago
- Generalized Analog Regression Downscaling (GARD) code☆34Updated last year
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆43Updated last month
- HydroAnalysis is a Python package to calculate indices and metrics useful in the everyday job of an hydrologist.☆11Updated 10 months ago
- A library designed to implement deep learning algorisms to climate data for weather and climate prediction.☆21Updated 3 years ago
- Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic c…☆86Updated last year