Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling-Reference-Cited by-同舟云学术

Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling

Published:2009-02 Issue:2 Volume:14 Page:153-165
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Brocca L.¹²²³,Melone F.¹²²³,Moramarco T.¹²²³,Singh V. P.¹²²³

Affiliation:

1. Postdoctoral Fellow, Institute for Geohydrological Protection, National Research Council, Via Madonna Alta 126, 06128 Perugia, Italy (corresponding author).

2. Senior Researcher, Institute for Geohydrological Protection, National Research Council, Via Madonna Alta 126, 06128 Perugia, Italy.

3. Caroline and William N. Lehrer Distinguished Chair in Water Engineering and Professor, Dept. of Biological and Agricultural Engineering, Texas A&M Univ., Scoates Hall, 2117 TAMU, College Station, TX 77843-2117.

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%291084-0699%282009%2914%3A2%28153%29

Reference57 articles.

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2. Aronica G. and Candela A. (2004). “A regional methodology for deriving flood frequency curves (FFC) in catchments with uncertain knowledge of soil moisture conditions.” Proc. iEMSs 2004 Univ. of Osnabrück Osnabrück Germany 1147–1183.

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

4. Streamflow predictability in the Saskatchewan/Nelson River basin given macroscale estimates of the initial soil moisture status

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