Using Self-Organizing Maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin

Nkiaka, E, Nawaz, NR and Lovett, JC (2016) Using Self-Organizing Maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin. Environmental Monitoring and Assessment, 188. 400. ISSN 0167-6369

Abstract

Metadata

Authors/Creators:
  • Nkiaka, E
  • Nawaz, NR
  • Lovett, JC
Copyright, Publisher and Additional Information: (c) 2016, Springer International Publishing Switzerland. This is an author produced version of a paper published in Environmental Monitoring and Assessment. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via: http://dx.doi.org/10.1007/s10661-016-5385-1
Keywords: Artificial Neural Networks, hydro-meteorological data, infilling missing data, Logone catchment, Self-Organizing Maps
Dates:
  • Published: July 2016
  • Accepted: 25 May 2016
  • Published (online): 9 June 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Jun 2016 11:16
Last Modified: 19 Jul 2017 00:17
Published Version: http://dx.doi.org/10.1007/s10661-016-5385-1
Status: Published
Publisher: Springer Verlag (Germany)
Identification Number: https://doi.org/10.1007/s10661-016-5385-1

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