Ensemble Kalman filter data assimilation for a process-based catchment scale model of surface and subsurface flow-Reference-Cited by-同舟云学术

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Ensemble Kalman filter data assimilation for a process-based catchment scale model of surface and subsurface flow

Published:2009-10 Issue:10 Volume:45 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Camporese Matteo¹,Paniconi Claudio²,Putti Mario³,Salandin Paolo¹

Affiliation:

1. Dipartimento di Ingegneria Idraulica, Marittima, Ambientale e Geotecnica; Università degli Studi di Padova; Padova Italy

2. Institut National de la Recherche Scientifique, Centre Eau, Terre et Environnement; Université du Québec; Quebec, Quebec Canada

3. Dipartimento di Metodi e Modelli Matematici per le Scienze Applicate; Università degli Studi di Padova; Padova Italy

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2008WR007031/fullpdf

Reference46 articles.

1. Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model;Aubert;J. Hydrol.,2003

2. Surface-subsurface flow modeling with path-based runoff routing, boundary condition-based coupling, and assimilation of multisource observation data;Camporese;Water Resour. Res.,2009

3. Data assimilation for transient flow in geologic formations via ensemble Kalman filter;Chen;Adv. Water Resour.,2006

4. Modeling of land-surface evaporation by four schemes and comparison with FIFE observations;Chen;J. Geophys. Res.,1996

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