A novel workflow for streamflow prediction in the presence of missing gauge observations

Rendani Mbuvha; Julien Y.P. Adounkpe; Mandela C.M. Houngnibo; Wilson T. Mongwe; Zahir Nikraftar; Tshilidzi Marwala; Nathaniel K. Newlands

doi:10.1017/eds.2023.11

A novel workflow for streamflow prediction in the presence of missing gauge observations

Rendani Mbuvha, Julien Y.P. Adounkpe, Mandela C.M. Houngnibo, Wilson T. Mongwe, Zahir Nikraftar, Tshilidzi Marwala, Nathaniel K. Newlands

Applied Mathematics

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Environmental Data Science
DOIs	https://doi.org/10.1017/eds.2023.11
Publication status	Published - 2023

Access to Document

10.1017/eds.2023.11

Cite this

@article{1651ac4370bc4407b25f4c92b556108c,

title = "A novel workflow for streamflow prediction in the presence of missing gauge observations",

author = "Rendani Mbuvha and Adounkpe, {Julien Y.P.} and Houngnibo, {Mandela C.M.} and Mongwe, {Wilson T.} and Zahir Nikraftar and Tshilidzi Marwala and Newlands, {Nathaniel K.}",

year = "2023",

doi = "10.1017/eds.2023.11",

language = "English",

journal = "Environmental Data Science",

issn = "2634-4602",

publisher = "Cambridge University Press",

}

TY - JOUR

T1 - A novel workflow for streamflow prediction in the presence of missing gauge observations

AU - Mbuvha, Rendani

AU - Adounkpe, Julien Y.P.

AU - Houngnibo, Mandela C.M.

AU - Mongwe, Wilson T.

AU - Nikraftar, Zahir

AU - Marwala, Tshilidzi

AU - Newlands, Nathaniel K.

PY - 2023

Y1 - 2023

UR - https://doi.org/10.1017/eds.2023.11

U2 - 10.1017/eds.2023.11

DO - 10.1017/eds.2023.11

M3 - Article

SN - 2634-4602

JO - Environmental Data Science

JF - Environmental Data Science

ER -

A novel workflow for streamflow prediction in the presence of missing gauge observations

Access to Document

Other files and links

Cite this