Accelerating advances in continental domain hydrologic modeling-Reference-Cited by-同舟云学术

Accelerating advances in continental domain hydrologic modeling

Published:2015-12 Issue:12 Volume:51 Page:10078-10091
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Archfield Stacey A.¹,Clark Martyn²,Arheimer Berit³,Hay Lauren E.¹,McMillan Hilary⁴,Kiang Julie E.⁵,Seibert Jan⁶,Hakala Kirsti⁶,Bock Andrew⁷,Wagener Thorsten⁸,Farmer William H.¹⁵,Andréassian Vazken⁹,Attinger Sabine¹⁰,Viglione Alberto¹¹,Knight Rodney¹²,Markstrom Steven¹,Over Thomas¹³

Affiliation:

1. National Research Program, U.S. Geological Survey; Reston Virginia USA

2. Hydrometeorological Applications Program, National Center for Atmospheric Research; Boulder Colorado USA

3. Swedish Meteorological and Hydrological Institute; Norrköping Sweden

4. National Institute of Water and Atmospheric Research; Auckland New Zealand

5. Office of Surface Water; U.S. Geological Survey; Reston Virginia USA

6. Department of Geography; University of Zurich; Zurich Switzerland

7. Colorado Water Science Center, U.S. Geological Survey; Lakewood Colorado USA

8. Department of Civil Engineering; University of Bristol; Bristol UK

9. National Research Institute of Science and Technology for Environment and Agriculture (IRSTEA); France

10. Department of Computational Environmental Systems and Monitoring; Helmholtz Centre for Environmental Research-UFZ; Leipzig Germany

11. Institute of Hydrology and Water Resource Management, Vienna University of Technology; Vienna Austria

12. Lower Mississippi-Gulf Water Science Center, U.S. Geological Survey; Montgomery Alabama USA

13. Illinois Water Science Center, U.S. Geological Survey; Urbana Illinois USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference116 articles.

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3. A systematic review of sensitivities in the Swedish flood-forecasting system;Arheimer;Atmos. Res.,2011

4. Water and nutrient simulations using the HYPE model for Sweden vs. the Baltic Sea basin: Influence of input-data quality and scale;Arheimer;Hydrol. Res.,2012

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