2022
DOI: 10.1016/j.jhydrol.2022.128170
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Spatial scale evaluation of forecast flood inundation maps

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Cited by 10 publications
(6 citation statements)
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“…EO also provides an invaluable resource for the spatial error assessment of ensemble forecasts, as shown by Hooker et al [HH-P]. The authors used a normalised spatial map comparison metric to assess the spatial skill of GloFAS forecasts on the Brahmaputra river, providing a comprehensive measure of uncertainty at various scales (Hooker et al, 2022a). The Fraction Skill Score, a domain averaged score, was then computed to determine the scale at which the forecast becomes useful, which could help in presenting model outcomes to end-users, or for model development and data assimilation (Hooker et al, 2022b).…”
Section: Jurlina Et Al [Tj-p] Used Such Domain-knowledge Integrationmentioning
confidence: 99%
“…EO also provides an invaluable resource for the spatial error assessment of ensemble forecasts, as shown by Hooker et al [HH-P]. The authors used a normalised spatial map comparison metric to assess the spatial skill of GloFAS forecasts on the Brahmaputra river, providing a comprehensive measure of uncertainty at various scales (Hooker et al, 2022a). The Fraction Skill Score, a domain averaged score, was then computed to determine the scale at which the forecast becomes useful, which could help in presenting model outcomes to end-users, or for model development and data assimilation (Hooker et al, 2022b).…”
Section: Jurlina Et Al [Tj-p] Used Such Domain-knowledge Integrationmentioning
confidence: 99%
“…In carrying out flood disaster modeling, it is done by determining the return period of rain, design discharge, and numerical model of Nakayasu Synthetic Unit Hydrograph (HSS) [16,22]. The rainfall return period was determined using a Pearson type III log [17,23].…”
Section: The Model Of Carrying Out Flood Disastermentioning
confidence: 99%
“…To determine the design rain using the Log Pearson type III method, the formula proposed by [23,24] is used as follows:…”
Section: Pearson Type III Logsmentioning
confidence: 99%
“…Studies of the properties of the deterministic FSS covered various aspects, such as: behaviour with frequency of occurrence, neighbourhood size and shape (e.g., Roberts and Lean, 2008;Schwartz et al, 2010;Nachamkin and Schmidt, 2015;Skok and Roberts, 2016); impact of biases (e.g., Mittermaier and Roberts, 2010); temporal accumulation or aggregation of results (e.g., Roberts, 2008;Duc et al, 2013;Mittermaier, 2021); impact of interpolation and grid resolution (e.g., Mittermaier, 2019); behaviour in extreme cases (Mittermaier, 2021); displacement characteristics (e.g., Skok, 2015;Skok andRoberts, 2016, 2018); and skilful spatial scales (e.g., Roberts and Lean, 2008;Mittermaier and Roberts, 2010;Dey et al, 2014Dey et al, , 2016Bachmann et al, 2019Bachmann et al, , 2020Hooker et al, 2022Hooker et al, , 2023. While a growing number of studies apply the FSS to verify ensemble forecasts, the properties of this score in the context of probabilistic forecast verification have not been studied in detail.…”
Section: Introductionmentioning
confidence: 99%