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Journal ArticleDOI

River flow forecasting through conceptual models part I — A discussion of principles☆

J.E. Nash, +1 more
- 01 Apr 1970 - 
- Vol. 10, Iss: 3, pp 282-290
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.
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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.

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Influence of rainfall observation network on model calibration and application

TL;DR: In this paper, the authors investigated the influence of the spatial resolution of the rainfall input on the model calibration and application by varying the distribution of the raingauge network, and the performance of the hydrological model was analyzed as a function of the rakingauge density.
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Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index

TL;DR: In this paper, the Nash-Sutcliffe efficiency index alone is not adequate in describing the performance of a model and it is shown that relatively poor models can give a high value of the index and vice-versa.
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Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting

TL;DR: Results endorsed the tangent sigmoid as the most pertinent transfer function for streamflow forecasting, over the bipolar logistic and Elliott sigmoids, but the latter requires less computing time and as such may be a valuable option for operational hydrology.
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The importance of epiphytes to total rainfall interception by a tropical montane rain forest in Costa Rica

TL;DR: In this paper, a modified analytical interception model, which incorporated the moss water balance model, was applied to quantify the contribution of non-vascular epiphytes to total interception.
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Estimating potential evapotranspiration using Shuttleworth–Wallace model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over the Mekong River basin

TL;DR: In this article, a Shuttleworth-Wallace (S-W) model is developed for the estimation of vegetation potential evapotranspiration, either from the interception (PET 0 ) or from the soil water of root zone (PET).
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