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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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Value of river discharge data for global-scale hydrological modeling

TL;DR: In this paper, an improved version of the WaterGAP Global Hydrology Model (WGHM) was tuned against measured discharge using either the 724-station dataset (V1) against which former model versions were tuned or an extended dataset of 1235 stations.
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Evaporation from a small water reservoir: Direct measurements and estimates

TL;DR: In this paper, the authors measured and estimated the rate of evaporation from a small water reservoir in northern Israel using several experimental techniques and models during the rainless summer, using an eddy covariance (EC) system consisting of a three-dimensional sonic anemometer and a Krypton hygrometer.
Journal ArticleDOI

Climate change and runoff in south-western Australia

TL;DR: In this paper, the results of computer simulations of runoff from 13 major fresh and brackish river basins in south-western Australia (SWA) under climate projections obtained from 15 GCMs with three future global warming scenarios equivalent to global temperature rises of 0.7°C, 1.0°C and 1.3°C by 2030.
Journal ArticleDOI

Irrigation strategies to improve the water use efficiency of wheat-maize double cropping systems in North China Plain

TL;DR: In this article, a two-year experiment with four irrigation levels based on crop growth stages was used to calibrate and validate RZWQM2, a hybrid model that combines the Root Zone Water Quality Model (RZQM) and DSSAT4.
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