A distributed hydrology-guided neural network model for streamflow prediction
Data processing and figures for the chapter "Global Climate" in the report "State of Climate in 2024" (Bulletin of the American Meteorological Society).
A hybrid machine learning framework for river discharge forecasting that combines ensemble regression models with the Arithmetic Optimization Algorithm (AOA) for hyperparameter tuning and next-day flow prediction.
Monthly forecast river discharge extraction from the GloFAS model with station-level bias correction and ensemble forecast visualization.
Interactive Streamlit dashboard for retrieving, visualizing and analyzing global river discharge data (USGS and Open-Meteo): statistics, flood, drought and trend analysis.
yet another project for processing polish river gauges data
Makes data from ehyd.gv.at available in Home Assistant
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