2010
DOI: 10.5194/hess-14-951-2010
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Introducing a rainfall compound distribution model based on weather patterns sub-sampling

Abstract: Abstract. This paper presents a probabilistic model for daily rainfall, using sub-sampling based on meteorological circulation. We classified eight typical but contrasted synoptic situations (weather patterns) for France and surrounding areas, using a "bottom-up" approach, i.e. from the shape of the rain field to the synoptic situations described by geopotential fields. These weather patterns (WP) provide a discriminating variable that is consistent with French climatology, and allows seasonal rainfall records… Show more

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Cited by 84 publications
(103 citation statements)
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“…The central rainfall values occurring in season s and WP k can be assumed to be identically distributed (Garavaglia et al, 2010). Thus the extreme value theory described in Sect.…”
Section: Mewp and Mgpwp Modelsmentioning
confidence: 99%
See 2 more Smart Citations
“…The central rainfall values occurring in season s and WP k can be assumed to be identically distributed (Garavaglia et al, 2010). Thus the extreme value theory described in Sect.…”
Section: Mewp and Mgpwp Modelsmentioning
confidence: 99%
“…Furthermore, rainfall occurrence and intensities often vary with season, reflecting both variations in temperature and in storm tracks, for example. For this reason, Garavaglia et al (2010) proposed the use of subsampling based on seasons and weather patterns (WP). Each day of the record period is assigned to a WP.…”
Section: Mewp and Mgpwp Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…Fig. 3 of Garavaglia et al, 2010). The preferential selection of a regressive structure can also be obtained for rather small and specific regions.…”
Section: Discussionmentioning
confidence: 92%
“…patterns (WP, defined in Table 3, Garavaglia et al, 2010) from the selection frequency obtained for the all-days situation.…”
Section: Discussionmentioning
confidence: 99%