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
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CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS. [PDF]
Tran VN +4 more
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Uncovering Systemic Dynamics through an Integrated WEFE Nexus Index across 21st Century Futures. [PDF]
Özcan Z, Alp E.
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Evaluating the performance of CHIRPS and CPC precipitation data for streamflow forecasting using multiple linear regression and Long Short-Term Memory Neural Network model. [PDF]
Hasan K +4 more
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Evaluation of GSMaP and MSWEP precipitation products for runoff simulation in the Lhasa River Basin. [PDF]
Wu L +7 more
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A 60-year analysis of past hydroclimatic variability and trends in the Mouhoun river catchment in West Africa. [PDF]
Fowé T +5 more
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Atmospheric teleconnection patterns and hydrological whiplashes in the Western U.S. [PDF]
Li W, Maharjan S, El-Askary H.
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Provenance in streamflow forecasting
Proceedings of the Joint EDBT/ICDT 2013 Workshops, 2013Within 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, 2000Ice-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
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