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Daniel N. Moriasi
Researcher at Agricultural Research Service
Publications - 89
Citations - 14676
Daniel N. Moriasi is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Environmental science & Watershed. The author has an hindex of 22, co-authored 71 publications receiving 11269 citations. Previous affiliations of Daniel N. Moriasi include United States Department of Agriculture.
Papers
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Journal ArticleDOI
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
Daniel N. Moriasi,Jeffrey G. Arnold,M. W. Van Liew,Ronald L. Bingner,R. D. Harmel,Tamie L. Veith +5 more
TL;DR: In this paper, the authors present guidelines for watershed model evaluation based on the review results and project-specific considerations, including single-event simulation, quality and quantity of measured data, model calibration procedure, evaluation time step, and project scope and magnitude.
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SWAT: Model Use, Calibration, and Validation
Jeffrey G. Arnold,Daniel N. Moriasi,Philip W. Gassman,Karim C. Abbaspour,Michael J. White,Raghavan Srinivasan,C. Santhi,R. D. Harmel,A. van Griensven,M. W. Van Liew,Narayanan Kannan,Manoj Jha +11 more
TL;DR: The SWAT-CUP tool as discussed by the authors is a semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration, and is used to provide statistics for goodness-of-fit.
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Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria
TL;DR: In this paper, a meta-analysis of performance data reported in recent peer-reviewed literature for three widely published watershed-scale models (SWAT, HSPF, WARMF), and one field-scale model (ADAPT) is performed.
Journal ArticleDOI
Hydrologic and Water Quality Models: Use, Calibration, and Validation
Daniel N. Moriasi,Bruce N. Wilson,Kyle R. Douglas-Mankin,Jeffrey G. Arnold,Prasanna H. Gowda +4 more
TL;DR: A special collection of 22 research articles that present and discuss calibration and validation concepts in detail for 25 hydrologic and water quality models, providing model practitioners with detailed, model-specific guidance on model calibration, validation, and use is introduced.
Journal ArticleDOI
Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture
TL;DR: In this article, the Ensemble Kalman Filter (EnKF) was used to estimate root-zone soil moisture, evapotranspiration, and stream flow within the 341 km2 Cobb Creek Watershed in southwestern Oklahoma through the assimilation of surface soil moisture observations using an EnKF.