High-resolution gridded streamflow for Ganges-Brahmaputra-Meghna River Basins

These datasets are the reconstructed daily naturalized streamflow datasets for Brahmaputra-Meghna River Basins in Bangladesh over 1951-2023. For efficient and effective water resources management, long-term assessment of streamflow is essential, which can provide the data for assessment of river variability, climate change impact, and environmental conservation. However, streamflow records at gauges are often sparse in both the spatial and temporal coverages. Thus, to actively manage water resources and establish plans, a thorough investigation of the trends and variability of hydroclimatic variables is essential, so it is important to generate unobserved past hydrological data. Hydrological modeling can supplement limited streamflow data in ungauged regions. Here, we used the VIC-River routing model with the total runoff data (surface and sub-surface runoff) from ERA5-Land reanalysis data based on high-resolution (less than 10km) digital elevation models (DEMs). In addition, forecasted ensemble streamflow data (50 ensemble members) using the runoff forecast of ECMWF S2S product (2016-2023) is provided.