The distributed model intercomparison project – Phase 2: Motivation and design of the Oklahoma experiments

TL;DR: An R-package is presented to facilitate the implementation of the GR lumped hydrological models (including GR4J) and a snow-accumulation and melt model, and a number of options and plotting functions are proposed to ease automate tests and analyses of the results.

TL;DR: In this paper, the authors argue that deficiencies in model applications largely do not depend on the modelling philosophy, although some models may be more suitable for specific applications than others and vice versa, but rather on how a model is implemented.

TL;DR: In this article, the authors present a detailed and quantitative uncertainty assessment, based on recent climate scenarios for Switzerland (CH2011 data set) and covering catchments representative for midlatitude alpine areas.

TL;DR: This work investigates the potential of the method of Morris, a screening-based sensitivity approach, to provide results sufficiently similar to those of the Sobol' method at a greatly reduced computational expense to be a promising diagnostic approach for global sensitivity analysis of highly parameterized, spatially distributed hydrologic models.

TL;DR: In this article, the authors present the impact tests that preceded the most recent operational upgrades to the land surface model used in the National Centers for Environmental Prediction (NCEP) mesoscale Eta model, whose operational domain includes North America.

TL;DR: The Soil and Water Assessment Tool (SWAT) model is a continuation of nearly 30 years of modeling efforts conducted by the USDA Agricultural Research Service (ARS) and has gained international acceptance as a robust interdisciplinary watershed modeling tool.

TL;DR: In this paper, software tools have been developed at the U.S. Geological Survey's EROS Data Center to extract topographic structure and to delineate watersheds and overland flow paths from digital elevation models.

TL;DR: The Soil and Water Assessment Tool (SWAT) model is a continuation of nearly 30 years of modeling efforts conducted by the U.S. Department of Agriculture (USDA), Agricultural Research Service.