J
Jai Vaze
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 119
Citations - 5989
Jai Vaze is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Surface runoff & Streamflow. The author has an hindex of 36, co-authored 114 publications receiving 4983 citations. Previous affiliations of Jai Vaze include University of Canberra & Cooperative Research Centre.
Papers
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Flood inundation modelling
TL;DR: A review of state-of-the-art empirical, hydrodynamic and simple conceptual models for determining flood inundation is presented in this paper, where guidance is provided for selecting the most suitable method/model for solving practical flood related problems, taking into account the specific outputs required for the modelling purpose, the data available and computational demands.
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Multi-decadal trends in global terrestrial evapotranspiration and its components
Yongqiang Zhang,Jorge L. Peña-Arancibia,Tim R. McVicar,Tim R. McVicar,Francis H. S. Chiew,Jai Vaze,Changming Liu,Xingjie Lu,Hongxing Zheng,Ying-Ping Wang,Yi Y. Liu,Diego G. Miralles,Ming Pan +12 more
TL;DR: During this period, ET over land has increased significantly, caused by increases in Et and Ei, which are partially counteracted by Es decreasing, and contrasting trends are primarily driven by rises in vegetation leaf area index, dominated by greening.
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Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments
L. Coron,Vazken Andréassian,Charles Perrin,Julien Lerat,Jai Vaze,M. Bourqui,Frédéric Hendrickx +6 more
TL;DR: In this paper, a generalized split-sample test (GSST) was proposed to evaluate the robustness of three hydrological models over a set of 216 catchments in southeast Australia.
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Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies
TL;DR: In this article, a modelling study carried out to investigate whether the calibrated parameter values for rainfall-runoff models based on historical observed data can be used to reliably predict runoff responses to changes in future climate inputs.
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Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method
Francis H. S. Chiew,Jin Teng,Jai Vaze,David A. Post,Jean-Michel Perraud,Dewi Kirono,Neil R. Viney +6 more
TL;DR: In this paper, the authors describe the modeling of climate change impact on runoff across southeast Australia using a conceptual rainfall-runoff model SIMHYD and present the results and assesses the robustness of the modeling approach.