A novel approach to infer streamflow signals for ungauged basins

Advances in Water Resources

Volumn 33, Issue 4, 2010, Pages 372-386

  Parada, Laura M ^a   Liang, Xu ^b  

^a Menta Capital LLC   (United States)

^b University of Pittsburgh   (United States)

Author keywords

Kernel based inference; Streamflow; Ungauged basins; Variational Bayesian Kalman filter

Indexed keywords

CALIFORNIA; DATA ASSIMILATION; KERNEL METHODS; NON-GAUSSIAN; NON-LINEAR; NON-LINEAR DYNAMICS; SYSTEM PROPERTY; UNGAUGED BASINS; VARIATIONAL BAYESIAN; VARIATIONAL BAYESIAN KALMAN FILTER; WEST VIRGINIA;

BAYESIAN NETWORKS; KALMAN FILTERS; LANDFORMS; VARIATIONAL TECHNIQUES; WATERSHEDS;

STREAM FLOW;

BASIN; BAYESIAN ANALYSIS; DATA ASSIMILATION; KALMAN FILTER; STREAMFLOW; VARIANCE ANALYSIS; WATERSHED;

CALIFORNIA; UNITED STATES; WEST VIRGINIA;

EID: 77950532276     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2010.01.003     Document Type: Article

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