State estimation and modeling error approach for 2-D shallow water equations and Lagrangian measurements

Water Resources Research

Volumn 47, Issue 10, 2011, Pages

  Tossavainen, Olli Pekka ^a,c   Percelay, Julie ^a   Stacey, Mark ^a   Kaipio, Jari P ^b,c   Bayen, Alexandre ^d  

^a 109 McLaughlin Hall   (United States)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIFORNIA; COMPUTATIONAL MODEL; ENSEMBLE KALMAN FILTERING; EVOLUTION MODELS; EXPERIMENTAL DATA; LAGRANGIAN DRIFTERS; LAGRANGIAN MEASUREMENTS; LOCAL FLOWS; MEASUREMENT INFORMATION; MODELING ERRORS; RIVER FLOW; SACRAMENTO-SAN JOAQUIN DELTA; SHALLOW WATER EQUATIONS; STATE ESTIMATION METHODS; TWO-DIMENSIONAL SHALLOW WATER EQUATIONS;

EQUATIONS OF MOTION; ERRORS; ESTIMATION; RIVERS; STATE ESTIMATION;

LAGRANGE MULTIPLIERS;

BOUNDARY CONDITION; ERROR ANALYSIS; ESTIMATION METHOD; KALMAN FILTER; LAGRANGIAN ANALYSIS; RIVER FLOW; SHALLOW WATER; TWO-DIMENSIONAL MODELING;

CALIFORNIA; SACRAMENTO-SAN JOAQUIN DELTA; UNITED STATES;

EID: 80054999122     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR009401     Document Type: Article

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