Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting-Reference-Cited by-同舟云学术

Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting

Published:2015-02 Issue:2 Volume:20 Page:04014042
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Abaza Mabrouk¹,Garneau Cyril²,Anctil François³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Water Engineering, Univ. Laval, Pavillon Adrien Pouliot, 1065, Ave. de la Médecine, Québec, QC, Canada G1V 0A6.

2. Ph.D. Candidate, École Nationale Supérieure Agromomique de Toulouse (Ensat/Ecolab), Ave. de l’Agrobiopole, BP 32607, Auzeville Tolosane, Castanet-Tolosan, 31326 Toulouse, France.

3. Professor, Dept. of Civil and Water Engineering, Univ. Laval, Pavillon Adrien Pouliot, 1065, Ave. de la Médecine, Québec, QC, Canada G1V 0A6 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001013

Reference69 articles.

1. A Comparison of the Canadian Global and Regional Meteorological Ensemble Prediction Systems for Short-Term Hydrological Forecasting

2. An Ensemble Adjustment Kalman Filter for Data Assimilation

3. Assimilating remotely sensed snow observations into a macroscale hydrology model

4. Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall–runoff model

5. Berrada M. (2006). “Kalman filter.” Université de Pierre et Marie Curie LOCEAN-IPSL 1–5 〈http://www.lodyc.jussieu.fr/~mblod/Doc/klmF.pdf〉.

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