google-research-datasets / global_streamflow_model_paperLinks
☆66Updated last year
Alternatives and similar repositories for global_streamflow_model_paper
Users that are interested in global_streamflow_model_paper are comparing it to the libraries listed below
Sorting:
- A global community dataset for large-sample hydrology☆240Updated 5 months ago
- A Python package for Earth forecasting transformer☆91Updated last year
- This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆53Updated 3 months ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆90Updated 3 months ago
- ☆164Updated 3 years ago
- Datasets downloader and reader for Hydrologic Modeling☆34Updated 2 months ago
- Deep learning approaches for statistical downscaling in climate☆74Updated 3 years ago
- Models for the EarthNet2021 challenge.☆45Updated 4 months ago
- Data access package for the SubseasonalClimateUSA dataset☆36Updated last year
- Large-scale flood modeling and forecasting with FloodCast (https://doi.org/10.1016/j.watres.2024.122162)☆42Updated last year
- Subseasonal forecasting models☆56Updated 11 months ago
- Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network☆39Updated 4 years ago
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆51Updated 4 years ago
- Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…☆102Updated 5 years ago
- Example notebook, showing how to use LSTMs for rainfall-runoff modeling☆71Updated 3 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆23Updated 4 years ago
- Digital Typhoon Dataset☆32Updated 5 months ago
- Accompanying code for CCAM dataset☆25Updated last year
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated 2 years ago
- Implementation of the Prithvi WxC Foundation Model and Downstream Tasks☆172Updated 5 months ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆96Updated last year
- Deep Learning Models for Wildfire Danger Forecasting☆78Updated 3 years ago
- framework for developing machine (and deep) learning models for structured data☆73Updated 2 months ago
- Repository for IBM weather downscaling model☆44Updated 4 months ago
- Deep learning for multi-year ENSO forecasts Reproduction☆56Updated last year
- LSTM Data and Model for Streamflow Forecasting☆43Updated 7 months ago
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆36Updated 3 months ago
- Machine learning based methods for satellite precipitation downscaling☆14Updated 8 years ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆19Updated 4 years ago
- A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger f…☆59Updated last year