A data fusion-based drought index-Reference-Cited by-同舟云学术

A data fusion-based drought index

Published:2016-03 Issue:3 Volume:52 Page:2222-2239
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Azmi Mohammad¹,Rüdiger Christoph¹,Walker Jeffrey P.¹

Affiliation:

1. Department of Civil Engineering; Monash University; Clayton Victoria Australia

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015WR017834/fullpdf

Reference59 articles.

1. How much complexity is warranted in a rainfall-runoff model? Findings obtained from symbolic regression, using Eureqa;Abrahart;Geophys. Res. Abstr.,2012

2. Application of artificial neural network ensembles in probabilistic hydrological forecasting;Araghinejad;J. Hydrol.,2011

3. Multi model data fusion for hydrological forecasting using K-nearest neighbour method;Azmi;Iran. J. Sci. Technol., Trans. B, Eng.,2010

4. Comparative evaluation of drought indexes: A case study on the Yarra river catchment in Australia;Barua;J. Water Resour. Plann. Manage.,2011

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