Comparison of Data Assimilation Techniques for a Coupled Model of Surface and Subsurface Flow-Reference-Cited by-同舟云学术

Comparison of Data Assimilation Techniques for a Coupled Model of Surface and Subsurface Flow

Published:2009-11 Issue:4 Volume:8 Page:837-845
ISSN:1539-1663
Container-title:Vadose Zone Journal
language:en
Short-container-title:Vadose Zone Journal

Author:

Camporese Matteo¹,Paniconi Claudio²,Putti Mario³,Salandin Paolo¹

Affiliation:

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

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

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

Funder

Natural Sciences and Engineering Research Council of Canada

Università degli Studi di Padova

Italian Ministry of Education

University, and Scientific Research

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2009.0018/fullpdf

Reference68 articles.

1. Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations

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

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

4. Ensemble Kalman filter data assimilation for a process-based catchment scale model of surface and subsurface flow;Camporese;Water Resour. Res.,2009b

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