Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams

•We developed a deep learning-based framework for long-term Chl-a simulation.•The performance of six state of the art deep learning algorithms was compared.•Our study employed separate sub-basins to train and evaluate DL models.•Chl-a prediction is improved by using sub-basin characteristics as inpu...

Ausführliche Beschreibung