Using self-organizing maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin

Nkiaka, E., Nawaz, N.R. and Lovett, J.C. (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 (7). 400. ISSN 0167-6369

Abstract

Metadata

Authors/Creators:
  • Nkiaka, E.
  • Nawaz, N.R.
  • Lovett, J.C.
Copyright, Publisher and Additional Information: © 2016 Springer International Publishing Switzerland. This is an author-produced version of a paper subsequently published in Environmental Monitoring and Assessment. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Artificial neural networks; Hydro-meteorological data; Infilling missing data; Logone catchment; Self-organizing maps
Dates:
  • Accepted: 25 May 2016
  • Published (online): 9 June 2016
  • Published: July 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Geography (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Sep 2020 09:32
Last Modified: 08 Sep 2020 09:32
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10661-016-5385-1
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