Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms

Ali, Mumtaz, Deo, Ravinesh C., Maraseni, Tek and Downs, Nathan J. 2019, Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms, Journal of hydrology, vol. 576, pp. 164-184, doi: 10.1016/j.jhydrol.2019.06.032.

Attached Files
Name Description MIMEType Size Downloads

Title Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
Author(s) Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Deo, Ravinesh C.
Maraseni, Tek
Downs, Nathan J.
Journal name Journal of hydrology
Volume number 576
Start page 164
End page 184
Total pages 21
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-09
ISSN 0022-1694
Language eng
DOI 10.1016/j.jhydrol.2019.06.032
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30123280

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 24 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 25 Jun 2019, 14:30:09 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.