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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
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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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Agriculture and groundwater nitrate contamination in the Seine basin. The STICS-MODCOU modelling chain.

TL;DR: A software package is presented here to predict the fate of nitrogen fertilizers and the transport of nitrate from the rooting zone of agricultural areas to surface water and groundwater in the Seine basin, taking into account the long residence times of water and nitrate in the unsaturated and aquifer systems.
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The suite of lumped GR hydrological models in an R package

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.
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Effects of Vegetation Clumping on Two–Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX

TL;DR: In this paper, the effects of nonrandom leaf area distributions on surface flux predictions from a two-source thermal remote sensing model are investigated, and the modeling framework is applied at local and regional scales over the Soil Moisture-Atmosphere Coupling Experiment (SMACEX) study area.
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PROMET - large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds.

TL;DR: The hydrologic model PROMET (Processes of Radiation, Mass and Energy Transfer) as mentioned in this paper was developed within the GLOWA-Danube project as part of the decision support system DANUBIA.
Journal ArticleDOI

Predicting hydrologic response to climate change in the Luohe River Basin using the SWAT model

TL;DR: In this article, the effect of potential future climate change on streamflow in the Luohe River basin was assessed using a physically-based distributed hydrological model, which was calibrated using daily streamflow records from 1992 to 1996 with a powerful shuffled complex evolution optimization algorithm (SCE-UA) and validated with daily stream flow records from 1997 to 2000.
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