Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
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
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A framework for propagation of uncertainty contributed by parameterization, input data, model structure, and calibration/validation data in watershed modeling
TL;DR: Application of the IPEAT framework at the Eagle Creek Watershed in Indiana shows that watershed behavior was more realistically represented when the four uncertainty sources were considered jointly without having to embed watershed behavior constraints in auto-calibration.
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Effect of soil tillage and vegetal cover on soil water infiltration
Wilk Sampaio de Almeida,Elói Panachuki,Paulo Tarso Sanches de Oliveira,Roniedison da Silva Menezes,Teodorico Alves Sobrinho,Daniel Fonseca de Carvalho +5 more
TL;DR: In this paper, the authors evaluate the effect of soil tillage and land cover on soil water infiltration, through measurement of this parameter in areas under bare soil, soybeans, and pasture.
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Estimating continental river basin discharges using multiple remote sensing data sets
Arthur Wafula Sichangi,Lei Wang,Lei Wang,Kun Yang,Kun Yang,Deliang Chen,Zhongjing Wang,Xiuping Li,Jing Zhou,Wenbin Liu,David Ndegwa Kuria +10 more
TL;DR: In this article, the authors proposed an innovative method to estimate daily discharges for continental rivers (with river channel widths > 800m) using two satellite derived parameters: effective river width and stage information.
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Recent Changes in the ISBA‐CTRIP Land Surface System for Use in the CNRM‐CM6 Climate Model and in Global Off‐Line Hydrological Applications
Bertrand Decharme,Christine Delire,Marie Minvielle,Jeanne Colin,Jean-Pierre Vergnes,Antoinette Alias,David Saint-Martin,Roland Séférian,Stephane Sénési,Aurore Voldoire +9 more
TL;DR: In this article, the authors provide a thorough description of the new and improved processes implemented between the CMIP5 and CMIP6 versions of the model and evaluate the hydrology and thermal behavior of the system at the global scale.
Journal ArticleDOI
River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model
TL;DR: In this article, the authors considered artificial neural network (ANN), wavelet analysis and ANN combination (WANN), multilinear regression (MLR), and sediment rating curve (SRC) models for daily suspended sediment load (S) modeling in the Iowa River gauging station in the United States.