Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
Reads0
Chats0
TLDR
In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.About:
This article is published in Journal of Hydrology.The article was published on 1970-04-01. It has received 19601 citations till now. The article focuses on the topics: Conceptual model & Flood forecasting.read more
Citations
More filters
Journal ArticleDOI
Evaluation of the swat model's snowmelt hydrology in a northwestern minnesota watershed
Xixi Wang,Assefa M. Melesse +1 more
TL;DR: In this article, the performance of the SWAT model's snowmelt hydrology was evaluated by simulating stream flows for the Wild Rice River watershed, located in northwestern Minnesota, using the PEST (Parameter Evaluation Estimation) software.
Journal ArticleDOI
Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences
Quan J. Wang,David E. Robertson +1 more
TL;DR: In this paper, the authors extended the applicability of the Bayesian joint probability (BJP) model to streams with zero flow occurrences and applied it to the Burdekin river catchment.
Journal ArticleDOI
Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs)
TL;DR: This study quantifies the parametric uncertainty involved in flood forecasting using artificial neural network (ANN) models and illustrates that short length of training datasets with appropriate representation can perform similar to models with long length training datasets.
Journal ArticleDOI
A European test of pesticide-leaching models: methodology and major recommendations
Marnik Vanclooster,J.J.T.I. Boesten,Marco Trevisan,Colin D. Brown,Ettore Capri,O. M. Eklo,B. Gottesbüren,V. Gouy,A.M.A. van der Linden +8 more
TL;DR: In this article, the authors present the methodology and major conclusions of a test of pesticide-leaching models, including water, solute, heat, and pesticides, through the soil profile.
Journal ArticleDOI
Quantifying different sources of uncertainty in hydrological projections in an Alpine watershed
TL;DR: In this paper, the authors quantified uncertainties resulting from (i) General Circulation Models, (ii) Regional Climate Models (RCMs), (iii) bias-correction of RCMs, and (iv) hydrological model parameterization using a multi-model framework.