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Poster De Conférence Année : 2021

Using satellite rainfall estimations for the definition of heavy rainfall statistics on two Caribbean watersheds

Résumé

Recent floods have highlighted the high vulnerability of Hispaniola Island (split by Haiti in the West and Dominican Republic in the East) towards hydro-meteorological hazards. For example, the coastal city of Cayes, in southern Haiti, has been heavily impacted by the torrential rainfall of October 5 to 6, 2018, with numerous damaged buildings. In addition, most urban areas lack a hydro-meteorological reference allowing to anticipate the damages that can be generated by different types of intense events. In this context, it is necessary to work on the definition of thresholds of critical rainfall accumulation that will then be used to anticipate future damages and to forecast such impacts. This work must be adapted to the regional context of scarcity of long precipitation observed series. Thus, our research aims at defining heavy rainfall statistics for two watersheds (one in Haiti (Cayes) and one in the Dominican Republic (Yaque del Sur)) using MSWEP gridded rainfall estimates (Beck et al., 2019), available from 1979 to 2017 with a spatiotemporal resolution of 0.1°/ 3h. The first step of this work is to fit the annual maximum rainfall series of each rainfall station and their corresponding MSWEP grid cell by the Generalized Extreme Values (GEV) distribution in order to evaluate the capacity of MSWEP to compute the IDF curves at the stations. Then, the stochastic storm transposition method developed by Wright et al., (2013) was used with MSWEP to generate rainfall events with durations of 3 to72 h, and derive annual exceedance probabilities of 1/5, 1/50, and 1/100 over the two watersheds studied. The rainfall statistics obtained at the watershed scale will then be compared to the statistics derived from the basin rainfall series obtained by the Thiessen polygons with the observed rainfall series available over the watershed. Such methodology might be used regionally to map heavy rainfall hazard and defined critical rainfall accumulation thresholds.
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Dates et versions

hal-03538644 , version 1 (23-02-2022)

Identifiants

  • HAL Id : hal-03538644 , version 1

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Ralph Bathelemy, Pierre Brigode, Dominique Boisson, Tric Emmanuel, Olivier Balieu, et al.. Using satellite rainfall estimations for the definition of heavy rainfall statistics on two Caribbean watersheds. AGU Fall Meeting 2021, Dec 2021, New Orleans, United States. . ⟨hal-03538644⟩
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