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Genevieve Ali

Biographic Data

ID9036930
NAMEGenevieve Ali
GIVEN NAMESGenevieve
FAMILY NAMEAli
SIGNATUREALI G
AFFILIATIONSUniversity of Guelph
ORCID0000-0001-5144-8188
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Cumulative Effects of Uncertainty on Simulated Streamflow in a Hydrologic Modeling Environment

    Open Access•Scott Pokorny, Tricia A Stadnyk et al.•ARTICLE•Elementa Science of the…•2021

    It is common in the literature to not consider all sources of uncertainty simultaneously: input, structural, parameter, and observed calibration data uncertainty, particularly in data-sparse environments due to data limitations and the complexities that arise from data limitations when propagating uncertainty downstream in a modelling chain. This paper presents results for the propagation of multiple sources of uncertainty towards the estimation …

  • Revisiting Hydrologic Sampling Strategies for an Accurate Assessment of Hydrologic Connectivity in Humid Temperate Systems

    Open Access•Geneviève A Ali, Genevieve Ali et al.•ARTICLE•Geography Compass•2009•References: 78

    Hydrologic connectivity is crucial to our understanding of catchment dynamics, yet there is no consensus among hydrologists about what it is exactly, nor is there any unambiguous way of assessing it from field observations. This review is articulated around the questions: (i) what are the main variables to investigate? and (ii) what is the optimal sampling strategy for hydrologic connectivity prediction in humid temperate systems? Because there a…

No prominent works on this page.

  • Revisiting Hydrologic Sampling Strategies for an Accurate Assessment of Hydrologic Connectivity in Humid Temperate Systems

    Open Access•Geneviève A Ali, Genevieve Ali et al.•ARTICLE•Geography Compass•2009•References: 78

    Hydrologic connectivity is crucial to our understanding of catchment dynamics, yet there is no consensus among hydrologists about what it is exactly, nor is there any unambiguous way of assessing it from field observations. This review is articulated around the questions: (i) what are the main variables to investigate? and (ii) what is the optimal sampling strategy for hydrologic connectivity prediction in humid temperate systems? Because there a…

  • Cumulative Effects of Uncertainty on Simulated Streamflow in a Hydrologic Modeling Environment

    Open Access•Scott Pokorny, Tricia A Stadnyk et al.•ARTICLE•Elementa Science of the…•2021

    It is common in the literature to not consider all sources of uncertainty simultaneously: input, structural, parameter, and observed calibration data uncertainty, particularly in data-sparse environments due to data limitations and the complexities that arise from data limitations when propagating uncertainty downstream in a modelling chain. This paper presents results for the propagation of multiple sources of uncertainty towards the estimation …

Computer Science (2 works) · Drainage basin (2 works) · Environmental Science (2 works) · Flood Risk Assessment and Management (2 works) · Geography (2 works) · Hydrology and Watershed Management Studies (2 works) · Mathematics (2 works) · Calibration (1 works) · Cartography (1 works) · Climatology (1 works)

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