The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners.
As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
i
A Bayesian Hierarchical Network Model for Daily Streamflow Ensemble Forecasting
-
2021
-
-
Source: Water Resources Research, 57(9)
Details:
-
Journal Title:Water Resources Research
-
Personal Author:
-
NOAA Program & Office:
-
Description:A novel Bayesian Hierarchical Network Model (BHNM) for ensemble forecasts of daily streamflow is presented that uses the spatial dependence induced by the river network topology and hydrometeorological variables from the upstream contributing area between station gauges. Model parameters are allowed to vary with time as functions of selected covariates for each day. Using the network structure to incorporate flow information from upstream gauges and precipitation from the immediate contributing area as covariates allows one to model the spatial correlation of flows simultaneously and parsimoniously. An application to daily monsoon period (July–August) streamflow
-
Keywords:
-
Source:Water Resources Research, 57(9)
-
DOI:
-
ISSN:0043-1397;1944-7973;
-
Format:
-
Publisher:
-
Document Type:
-
Rights Information:Other
-
Compliance:Library
-
Main Document Checksum:
-
Download URL:
-
File Type:
[PDF-3.82 MB]
