Understanding Interannual Variability of Brahmaputra River Basin Flows Through Bayesian Causal Networks

This dataset supports the study “Understanding Interannual Variability of Brahmaputra River Basin Flows Through Bayesian Causal Networks.” It contains hydroclimatic variables used to investigate seasonal and subseasonal drivers of streamflow variability in the Brahmaputra River Basin (BRB). The dataset includes: Sea Surface Temperature (SST) anomalies and antecedent SST (ASST) fields computed at each grid for multiple seasons and spatial domains. Index-level anomaly datasets for key climate modes (e.g., ENSO-related indices and other large-scale drivers) used in the causal analysis. Anomalies of key atmospheric variables, including Integrated Vapor Transport (IVT), Sea Level Pressure (SLP), and zonal and meridional wind components (u-wind and v-wind), computed for different phases and seasons. Daily gridded precipitation data at 0.25° spatial resolution obtained from the India Meteorological Department. Daily streamflow observations at the Bahadurabad gauge station for the period 1987–2019.