Results 261 to 270 of about 79,529 (308)

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

open access: yesEarth's Future, Volume 14, Issue 5, May 2026.
Abstract Bayesian Causal Networks (BCNs) are adapted to investigate causal factors of hydroclimate variability in the Brahmaputra River Basin (BRB) during the seasonal and sub‐seasonal periods. This is the longest monsoonal river system in India, prone to frequent severe flooding.
Naman Kishan Rastogi   +2 more
wiley   +1 more source

Provenance in streamflow forecasting

Proceedings of the Joint EDBT/ICDT 2013 Workshops, 2013
Within this extended abstract we describe a data set of provenance traces that we collected over the past two years for a continuous streamflow forecast in the South Esk river catchment in Tasmania, Australia.
Heiko Müller 0001   +3 more
openaire   +1 more source

Estimating Winter Streamflow Using Conceptual Streamflow Model

Journal of Cold Regions Engineering, 2000
Ice-affected periods represent a significant portion of the annual hydrograph for most Canadian hydrometric stations. Because the stage-discharge relation is not reliable under ice-cover conditions, Water Survey of Canada subjectively interpolates winter streamflow from as few as two observations of discharge during the ice-covered season, which may ...
A. S. Hamilton   +2 more
openaire   +1 more source

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