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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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MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data

TL;DR: The Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset as discussed by the authors is a global precipitation dataset for the period 1979-2015 with a 3-hourly temporal and 0.25° spatial resolution designed for hydrological modeling.
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Improvements to the Community Land Model and their impact on the hydrological cycle

TL;DR: In this article, the authors describe the implementation of a selected set of these parameterizations and their effects on the simulated hydrological cycle, and the results from a set of offline simulations were compared with observed data for runoff, river discharge, soil moisture, and total water storage.
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Hydrological modeling of the iroquois river watershed using hspf and swat

TL;DR: In this paper, watershed scale hydrologic simulation models HSPF (Hydrologic Simulation Program- FORTRAN) and SWAT (Soil and Water Assessment Tool) were used to model the hydrology of the 2150 square mile Iroquois River watershed (IRW) located in the east central Illinois.
Journal ArticleDOI

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Gilberto Pastorello, +303 more
- 09 Jul 2020 - 
TL;DR: The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe, and is detailed in this paper.
Journal ArticleDOI

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

TL;DR: Developing a hydrological forecasting model based on past records is crucial to develop a water quality forecasting model that can be applied to the Yangtze River basin.
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