Monographie hydrologique d’Haïti : analyse et prédétermination des pluies et crues fortes à partir de données d’archives et satellitaires - Article de synthèse publié dans le cadre de l’obtention du Prix Gérard Beltrando 2024 attribué par l’AIC et récompensant la meilleure thèse de climatologie

Open Access

Issue		Climatologie Volume 22, 2024


Article Number		2
Number of page(s)		9
DOI		https://doi.org/10.1051/climat/202422002
Published online		29 January 2025

Ashouri H., Hsu K.-L., Sorooshian S., Braithwaite D. K., Knapp K. R., Cecil L. D., Nelson B. R., Prat O. P., 2015. PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies. Bull. Am. Meteorol. Soc., 96, 69–83, https://doi.org/10.1175/BAMS-D-13-00068.1 [CrossRef] [Google Scholar]
Bathelemy R., Brigode P., Boisson D., Tric E., 2022. Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale. J. Hydrol. Reg. Stud., 43, 101203, https://doi.org/10.1016/j.ejrh.2022.101203 [CrossRef] [Google Scholar]
Bathelemy R., Brigode P., Andréassian V., Perrin C., Moron V., Gaucherel C., Tric E., Boisson D., 2023. Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005. DataSuds, LMI CARIBACT, https://doi.org/10.23708/02POK6 [Google Scholar]
Bathelemy R., Brigode P., Andréassian V., Perrin C., Moron V., Gaucherel C., Tric E., Boisson D., 2024. Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti. Earth Syst. Sci. Data, 16, 2073–2098, https://doi.org/10.5194/essd-16-2073-2024 [CrossRef] [Google Scholar]
Beck H. E., Wood E. F., Pan M., Fisher C. K., Miralles D. G., Dijk A. I. J. M. van, McVicar T. R., Adler R. F., 2019. MSWEP V2 global 3-hourly 0.1° precipitation: methodology and quantitative assessment. Bull. Am. Meteorol. Soc., 100, 473–500, https://doi.org/10.1175/BAMS-D-17-0138.1 [CrossRef] [Google Scholar]
Beirlant J., Goegebeur Y., Segers J., Teugels J., 2004. Statistics of extremes: theory and applications. Wiley: Hoboken, 522 pp. [Google Scholar]
Dinku T., Ceccato P., Grover-Kopec E., Lemma M., Connor S. J., Ropelewski C. F., 2007. Validation of satellite rainfall products over East Africa’s complex topography. Int. J. Remote Sens., 28, 1503–1526, https://doi.org/10.1080/01431160600954688 [CrossRef] [Google Scholar]
Fisher R. A. et Tippett L. H. C., 1928. Limiting forms of the frequency distribution of the largest or smallest member of a sample. Math. Proc. Camb. Philos. Soc., 24, 180–190, https://doi.org/10.1017/S0305004100015681 [CrossRef] [Google Scholar]
Funk C., Peterson P., Landsfeld M., Pedreros D., Verdin J., Shukla S., Husak G., Rowland J., Harrison L., Hoell A., Michaelsen J., 2015. The climate hazards infrared precipitation with stations – A new environmental record for monitoring extremes. Sci. Data, 2, 150066, https://doi.org/10.1038/sdata.2015.66 [CrossRef] [Google Scholar]
Gnedenko B., 1943. Sur la distribution limite du terme maximum d’une série aléatoire. Ann. Math., 44, 423–453, https://doi.org/10.2307/1968974 [CrossRef] [Google Scholar]
Gosset M., Viarre J., Quantin G., Alcoba M., 2013. Evaluation of several rainfall products used for hydrological applications over West Africa using two high-resolution gauge networks. Q. J. R. Meteorol. Soc., 139, 923–940, https://doi.org/10.1002/qj.2130 [CrossRef] [Google Scholar]
Gosset M., Dibi-Anoh P. A., Schumann G., Hostache R., Paris A., Zahiri E.-P., Kacou M., Gal L., 2023. Hydrometeorological extreme events in Africa: The role of satellite observations for monitoring pluvial and fluvial flood risk. Surv. Geophys., 44, 197–223, https://doi.org/10.1007/s10712-022-09749-6 [CrossRef] [Google Scholar]
Guillot P. et Duband D., 1967. La méthode du Gradex pour le calcul de la probabilité des crues à partir des pluies. Floods and their computations (Leningrad Symposium), AISH Pub., 84, 560–569. [Google Scholar]
Gumbel E. J., 1958. Statistics of extremes. Columbia University Press, 378 pages. [Google Scholar]
Hersbach H., Bell B., Berrisford P., Hirahara S., Horányi A., Muñoz-Sabater J., Nicolas J., Peubey C., Radu R., Schepers D., Simmons A., Soci C., Abdalla S., Abellan X., Balsamo G., Bechtold P., Biavati G., Bidlot J., Bonavita M., Chiara G. D., Dahlgren P., Dee D., Diamantakis M., Dragani R., Flemming J., Forbes R., Fuentes M., Geer A., Haimberger L., Healy S., Hogan R. J., Hólm E., Janisková M., Keeley S., Laloyaux P., Lopez P., Lupu C., Radnoti G., Rosnay P. de, Rozum I., Vamborg F., Villaume S., Thépaut J.-N., 2020. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803 [NASA ADS] [CrossRef] [Google Scholar]
Huffman G. J., Bolvin D. T., Braithwaite D., Hsu K., Joyce R., Xie P., Yoo S.-H., 2015. NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG). Algorithm Theor. Basis Doc., ATBD Version, 4, 26. [Google Scholar]
Jenkinson A. F., 1955. The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Q. J. R. Meteorol. Soc., 81, 158–171, https://doi.org/10.1002/qj.49708134804 [CrossRef] [Google Scholar]
Kucera P. A., Ebert E. E., Turk F. J., Levizzani V., Kirschbaum D., Tapiador F. J., Loew A., Borsche M., 2013. Precipitation from space: Advancing earth system Science. Bull. Am. Meteorol. Soc., 94, 365–375, https://doi.org/10.1175/BAMS-D-11-00171.1 [CrossRef] [Google Scholar]
Mazzoleni M., Brandimarte L., Amaranto A., 2019. Evaluating precipitation datasets for large-scale distributed hydrological modelling. J. Hydrol., 578, 124076, https://doi.org/10.1016/j.jhydrol.2019.124076 [CrossRef] [Google Scholar]
Moron V., Frelat R., Jean-Jeune P. K., Gaucherel C., 2015. Interannual and intra-annual variability of rainfall in Haiti (1905–2005). Clim. Dyn., 45, 915–932, https://doi.org/10.1007/s00382-014-2326-y [CrossRef] [Google Scholar]
Mouelhi S., Michel C., Perrin C., Andréassian V., 2006. Stepwise development of a two-parameter monthly water balance model. J. Hydrol., 318, 200–214, https://doi.org/10.1016/j.jhydrol.2005.06.014 [CrossRef] [Google Scholar]
Perrin C., Michel C., Andréassian V., 2003. Improvement of a parsimonious model for streamflow simulation. J. Hydrol., 279, 275–289, https://doi.org/10.1016/S0022-1694(03)00225-7 [CrossRef] [Google Scholar]
Peterson T. C., Taylor M. A., Demeritte R., Duncombe D. L., Burton S., Thompson F., Porter A., Mercedes M., Villegas E., Fils R. S., Tank A. K., Martis A., Warner R., Joyette A., Mills W., Alexander L., Gleason B., 2002. Recent changes in climate extremes in the Caribbean region. J. Geophys. Res. Atmospheres, 107, ACL 16-1-ACL 16-9, https://doi.org/10.1029/2002JD002251 [CrossRef] [Google Scholar]
Rahman Md. S. et Di L., 2017. The state of the art of spaceborne remote sensing in flood management. Nat. Hazards, 85, 1223–1248, https://doi.org/10.1007/s11069-016-2601-9 [CrossRef] [Google Scholar]
Reuter H. I., Nelson A., Jarvis A., 2007. An evaluation of void-filling interpolation methods for SRTM data. Int. J. Geogr. Inf. Sci., 21, 983–1008, https://doi.org/10.1080/13658810601169899 [CrossRef] [Google Scholar]
Slivinski L. C., Compo G. P., Whitaker J. S., Sardeshmukh P. D., Giese B. S., McColl C., Allan R., Yin X., Vose R., Titchner H., Kennedy J., Spencer L. J., Ashcroft L., Brönnimann S., Brunet M., Camuffo D., Cornes R., Cram T. A., Crouthamel R., Domínguez-Castro F., Freeman J. E., Gergis J., Hawkins E., Jones P. D., Jourdain S., Kaplan A., Kubota H., Blancq F. L., Lee T.-C., Lorrey A., Luterbacher J., Maugeri M., Mock C. J., Moore G. W. K., Przybylak R., Pudmenzky C., Reason C., Slonosky V. C., Smith C. A., Tinz B., Trewin B., Valente M. A., Wang X. L., Wilkinson C., Wood K., Wyszyński P., 2019. Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Q. J. R. Meteorol. Soc., 145, 2876–2908, https://doi.org/10.1002/qj.3598 [CrossRef] [Google Scholar]
Styron R., García-Pelaez J., Pagani M., 2020. CCAF-DB: the Caribbean and Central American active fault database. Nat. Hazards Earth Syst. Sci., 20, 831–857, https://doi.org/10.5194/nhess-20-831-2020 [CrossRef] [Google Scholar]
Terrier M., Rançon J.-P., Bertil D., Chêne F., Desprats J.-F., Lecacheux S., Le Roy S., Stollsteiner P., Bouc O., Raynal M., 2017. Atlas des menaces naturelles en Haïti. Comité Interministériel d’Aménagement du Territoire, Haïti, 114 pp. [Google Scholar]
Wannasin C., Brauer C. C., Uijlenhoet R., van Verseveld W. J., Weerts A. H., 2012. Daily flow simulation in Thailand Part I: Testing a distributed hydrological model with seamless parameter maps based on global data. J. Hydrol. Reg. Stud., 34, 100794, https://doi.org/10.1016/j.ejrh.2021.100794 [CrossRef] [Google Scholar]

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