Framework for event-based semidistributed modeling that unifies the SCS-CN method, VIC, PDM, and TOPMODEL-Reference-Cited by-同舟云学术

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Framework for event-based semidistributed modeling that unifies the SCS-CN method, VIC, PDM, and TOPMODEL

Published:2016-09 Issue:9 Volume:52 Page:7036-7052
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Bartlett M. S.¹,Parolari A. J.¹,McDonnell J. J.²³,Porporato A.¹

Affiliation:

1. Department of Civil and Environmental Engineering; Duke University; Durham North Carolina USA

2. Global Institute for Water Security; University of Saskatchewan; Saskatoon Saskatchewan Canada

3. School of Geosciences; University of Aberdeen; Aberdeen UK

Funder

the USDA Agricultural Research Service

the National Science Foundation

the Duke WISeNet

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016WR019084/fullpdf

Reference52 articles.

1. Hydrology and Global Environmental Change

2. Transforming variables using the Dirac generalized function;Au;Am. Stat.,1999

3. Stochastic rainfall-runoff model with explicit soil moisture dynamics;Bartlett;Proc. R. Soc. A,2015

4. Beyond the SCS-CN method: Framework for lumped rainfall-runoff response;Bartlett;Water Resour. Res.,2016

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3. Following the curve? Reviewing the physical basis of the SCS curve number method for estimating storm runoff;Hydrological Processes;2021-11

4. Implications of event-based loss model structure on simulating large floods;Journal of Hydrology;2021-04

5. Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT Models;Journal of Hydrologic Engineering;2020-03

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