R
Roland J. Viger
Researcher at United States Geological Survey
Publications - 46
Citations - 1457
Roland J. Viger is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Surface runoff & Streamflow. The author has an hindex of 16, co-authored 43 publications receiving 1173 citations.
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Journal ArticleDOI
Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance
Andrew J. Newman,Martyn P. Clark,Kevin Sampson,Andrew W. Wood,Lauren E. Hay,Andrew R. Bock,Roland J. Viger,D. L. Blodgett,Levi D. Brekke,Jeffrey R. Arnold,Thomas Hopson,Qingyun Duan +11 more
TL;DR: In this paper, the authors present a community data set of daily forcing and hydrologic response data for 671 small-to medium-sized basins across the contiguous United States (median basin size of 336 km 2 ) that spans a very wide range of hydroclimatic conditions.
OtherDOI
PRMS-IV, the precipitation-runoff modeling system, version 4
Steven L. Markstrom,R. Steven Regan,Lauren E. Hay,Roland J. Viger,Richard M.T. Webb,Robert A. Payn,Jacob H. LaFontaine +6 more
TL;DR: In this paper, the authors propose a solution to solve the problem of the problem: this paper...,.. ].. ).. )... ;.
Journal ArticleDOI
A modular approach to addressing model design, scale, and parameter estimation issues in distributed hydrological modelling
TL;DR: The US Geological Survey modular modelling system (MMS) is a modular modelling framework that uses an open source software approach to enable all members of the scientific community to address collaboratively the many complex issues associated with the design, development, and application of distributed hydrological and environmental models.
Journal ArticleDOI
Step Wise, Multiple Objective Calibration of a Hydrologic Model for a Snowmelt Dominated Basin
TL;DR: In this paper, a step wise, multiple objective, automated procedure for hydrologic model calibration is presented, which includes the sequential calibration of a model's simulation of solar radiation (SR), potential evapotranspiration (PET), water balance, and daily runoff.
Journal ArticleDOI
The modular modeling system (MMS) — The physical process modeling component of a database-centered decision support system for water and power management
TL;DR: The Modular Modeling System (MMS) as discussed by the authors is an integrated system of computer software that is being developed to provide the research and operational framework needed to support development, testing, and evaluation of physical-process algorithms, and to facilitate integration of user-selected sets of algorithms into operational physicalprocess models.