2012
DOI: 10.5194/nhess-12-3229-2012
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Evaluation of classical spatial-analysis schemes of extreme rainfall

Abstract: Abstract. Extreme rainfall is classically estimated using raingauge data at raingauge locations. An important related issue is to assess return levels of extreme rainfall at ungauged sites. Classical methods consist in interpolating extremevalue models. In this paper, such methods are referred to as regionalization schemes. Our goal is to evaluate three classical regionalization schemes. Each scheme consists of an extreme-value model (block maxima, peaks over threshold) taken from extreme-value theory plus a m… Show more

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Cited by 36 publications
(16 citation statements)
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“…(bottom panels). The estimated 100‐year return level falseRVaR̂nW(βMathClass-rel|x) is similar to the results obtained by Ceresetti et al () using kriging methods. More interestingly, the falseRCTÊnW(βMathClass-rel|x) can be 150mm higher than the falseRVaR̂nW(βMathClass-rel|x) on the mountain area.…”
Section: Estimated Risk Measures On Extreme Rainfallssupporting
confidence: 85%
“…(bottom panels). The estimated 100‐year return level falseRVaR̂nW(βMathClass-rel|x) is similar to the results obtained by Ceresetti et al () using kriging methods. More interestingly, the falseRCTÊnW(βMathClass-rel|x) can be 150mm higher than the falseRVaR̂nW(βMathClass-rel|x) on the mountain area.…”
Section: Estimated Risk Measures On Extreme Rainfallssupporting
confidence: 85%
“…Their derivation is thus hampered by many sources of uncertainty. Regionalization and interpolation techniques continue assuming spatial homogeneity to derive IDF curves for ungauged locations (Ceresetti et al, 2012). However, homogeneity of rainfall extremes is a weak assumption when wide areas are considered or when, even at the small scales, the data record length is limited, especially in the case of short durations (Peleg et al, 2017b).…”
Section: Introductionmentioning
confidence: 99%
“…A common procedure involves the interpolation of statistical distribution parameters from individual gauges (Ceresetti et al, 2012). However, we were confronted with a different task: interpolation of return period values.…”
Section: Spatial Interpolation Of Return Period Datamentioning
confidence: 99%