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Impact of precipitation data density and duration on simulated flow dynamics and implications for ecohydrological modelling of semi-arid catchments of Southern Africa

Watson, Andrew and Kralisch, Sven and Künne, Annika and Fink, Manfred and Miller, Jodie (2020) Impact of precipitation data density and duration on simulated flow dynamics and implications for ecohydrological modelling of semi-arid catchments of Southern Africa. Journal of Hydrology, 590, p. 125280. Elsevier. doi: 10.1016/j.jhydrol.2020.125280. ISSN 0022-1694.

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Official URL: http://dx.doi.org/10.1016/j.jhydrol.2020.125280


Item URL in elib:https://elib.dlr.de/137056/
Document Type:Article
Title:Impact of precipitation data density and duration on simulated flow dynamics and implications for ecohydrological modelling of semi-arid catchments of Southern Africa
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Watson, AndrewUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kralisch, SvenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Künne, AnnikaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fink, ManfredUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Miller, JodieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:1 November 2020
Journal or Publication Title:Journal of Hydrology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:590
DOI:10.1016/j.jhydrol.2020.125280
Page Range:p. 125280
Publisher:Elsevier
ISSN:0022-1694
Status:Published
Keywords:spatial interpolation, precipitation, hydrology, sensitivity analysis, semi-arid, Southern Africa
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Datamangagement and Analysis
Deposited By: Kralisch, Sven
Deposited On:16 Nov 2020 08:09
Last Modified:15 Jul 2021 16:26

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