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  Improving the accuracy of hydrodynamic simulations in data scarce environments using bayesian model averaging: A case study of the Inner Niger Delta, Mali, West Africa

Haque, M. M., Seidou, O., Mohammadian, A., Djibo, A. G., Liersch, S., Fournet, S., Karam, S., Perera, E. D. P., Kleynhans, M. (2019): Improving the accuracy of hydrodynamic simulations in data scarce environments using bayesian model averaging: A case study of the Inner Niger Delta, Mali, West Africa. - Water, 11, 9, 1766.
https://doi.org/10.3390/w11091766

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 Creators:
Haque, M. M.1, Author
Seidou, O.1, Author
Mohammadian, A.1, Author
Djibo, A. G.1, Author
Liersch, Stefan2, Author              
Fournet, Samuel2, Author              
Karam, S.1, Author
Perera, E. D. P.1, Author
Kleynhans, M.1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: ich lege die BA am Montag Frau Haneberg vor, vielleicht zeichnet Sie ab. Ich mach ihr wegen Dringlichkeit ein Klebi rauf!

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 Dates: 2019
 Publication Status: Finally published
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.3390/w11091766
PIKDOMAIN: RD2 - Climate Resilience
eDoc: 8582
Research topic keyword: Ecosystems
Research topic keyword: Freshwater
Regional keyword: Africa
Organisational keyword: RD2 - Climate Resilience
Working Group: Hydroclimatic Risks
 Degree: -

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Title: Water
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 11 (9) Sequence Number: 1766 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140903