SWAT+ simulation result used in "Smart renewable electricity portfolios in West Africa"

Chawanda, Celray James; van Griensven, Ann; Thiery, Wim; Sterl, Sebastian; Vanderkelen, Inne

doi:10.5281/zenodo.3580663

Published December 17, 2019 | Version v1

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SWAT+ simulation result used in "Smart renewable electricity portfolios in West Africa"

1. Vrije Universiteit Brussel

Shapefiles and simulation results from SWAT+ used for the paper "Smart renewable electricity portfolios in West Africa" by Sterl et al., who used it to infer the interannual variability of river flow seasonality across West Africa.

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channel_mon.rar md5:93f326b4d7eed20f148b32e9a6fa16c6	83.5 MB	Download
rivs1.dbf md5:43f6ef9ae31604b3e9fff0231df0cfd7	1.1 MB	Download
rivs1.prj md5:33dd309bce3dceda7c5679ea31ef7608	549 Bytes	Download
rivs1.shp md5:c868f4d5215386ff13765fbdc45bcd52	23.1 MB	Download
rivs1.shx md5:4a877a971e2517496ac950d32e2238da	44.1 kB	Download

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License: Creative Commons Attribution 4.0 International

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Created: December 17, 2019
Modified: March 27, 2020

SWAT+ simulation result used in "Smart renewable electricity portfolios in West Africa"

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Files (107.8 MB)