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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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Use of Regional Climate Model Output for Hydrologic Simulations

TL;DR: In this article, daily precipitation and maximum and minimum temperature time series from a regional climate model (RegCM2) configured using the continental United States as a domain and run on a 52-km (approximately) spatial resolution were used as input to a distributed hydrologic model for one rainfall-dominated basin (Alapaha River at Statenville, Georgia) and three snowmelt-dominated basins (Animas River at Durango, Colorado; east fork of the Carson River near Gardnerville, Nevada; and Cle Elum River near Roslyn, Washington).
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Local Gaussian process approximation for large computer experiments

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Assessment of initial soil moisture conditions for event-based rainfall–runoff modelling

TL;DR: In this paper, the authors compared several soil moisture indicators: local Time Domain Reflectometry (TDR) measurements of soil moisture, modelled soil moisture through the Interaction-Sol-Biosphere-Atmosphere (ISBA) component of the SIM model (Meteo-France), antecedent precipitation and base flow.
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Comparison of green-ampt and curve number methods on goodwin creek watershed using swat

TL;DR: In this paper, two methods of simulating excess rainfall were compared on a large basin with multiple rain gages, and the results suggest that no significant advantage was gained by using breakpoint rainfall data and sub-daily time-steps when simulating the large basin used in this study.
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A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China

TL;DR: In this article, a macro-scale and semi-distributed monthly water balance model was proposed and developed to simulate and predict the hydrological processes in order to assess the impact of climate change.
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