0000000000364372

AUTHOR

Boutheina Oueslati

showing 6 related works from this author

Uses and limits of thermal indices: the case of Sahel

2015

International audience; Our main goal here is to analyse extreme heat waves (HWs) in the Sahel (13°N-18°N; 16°W-30°E), using different thermal indices. In the ACASIS project funded bythe French “Agence Nationale de la Recherche”, HWs analyses are characterized forthe first time during the hottest season in the Sahel, using the Global Summary of theDay (GSOD) synoptic observations during April-May-June 1973-2013. Such extremehigh temperatures are usually defined by 3 criteria: 1/ Their low probability ofoccurrence: less than the 10% of the days. The use of absolute thresholds,associated with heat budget and physiological impacts, could be an alternative(Seneviratne et al., 2012). 2/ Their in…

[ SDE ] Environmental Sciences[SDE] Environmental Sciencesheat wave[SHS.GEO] Humanities and Social Sciences/GeographySahelACASIS[SDE]Environmental Sciences[SHS.GEO]Humanities and Social Sciences/GeographyThermal extreme[ SHS.GEO ] Humanities and Social Sciences/Geography
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Trends of mean temperatures and warm extremes in northern tropical Africa (1961-2014) from observed and PPCA-reconstructed time series

2016

Trends in daily maximum (TX) and minimum (TN) temperatures and indices of warm extremes are studied in tropical North Africa, west of the eastern African highlands, from 1961 to 2014. The analysis is based on the concatenation and cross-checking of two observed databases. Due to the large number of missing entries (~25%), a statistical infilling using probabilistic principal component analysis was applied. Averaged over 90 stations, the linear trends of annual mean TX and TN equal respectively +0.021 °C/yr and +0.028 °C/yr. The frequency of very hot days (TX > 35°C) and tropical nights (TN > 20°C), as well as the frequency of daily TX and TN above the 90th percentile (p90) (“warm days” and …

Atmospheric ScienceSeries (stratigraphy)Percentile010504 meteorology & atmospheric sciencesProbabilistic principal component analysisGlobal warmingNorth africaTropical AtlanticHot days010502 geochemistry & geophysics01 natural sciencesGeophysicsEl Niño Southern Oscillation13. Climate actionSpace and Planetary ScienceClimatologyEarth and Planetary Sciences (miscellaneous)Environmental science0105 earth and related environmental sciencesJournal of Geophysical Research: Atmospheres
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Durée et fréquence des vagues de chaleur en Afrique tropicale septentrionale selon 5 indices de chaleur

2019

Thermal extremes generate health risks that are increasingly taken into account, including in tropical Africa. This work compares the duration and the frequency of spring heat waves (HWs) in West Africa according to 5 indices: Warm Spell (WS), Heat Index (HI) with and without the relative humidity, Apparent Temperature (AT), and Excess Heat Factor (EHF). The daily relative humidity and temperature data (minimum, maximum, dew point are provided by the GSOD database for the period 1973-2014 and cover 145 stations spread over a large African area (3-24°N; 24°W-36°E). The results show that the duration of the HWs is short on the coast (3 days) and they last longer inland the continent and in th…

Excess Heat Factor (EHF)indice de chaleur (HI)vague de chaleur (HW)[SHS.GEO] Humanities and Social Sciences/Geography[SDE.MCG]Environmental Sciences/Global Changesheat indexAfrique de l’Ouest[SHS.GEO]Humanities and Social Sciences/Geography[SDE.ES]Environmental Sciences/Environmental and Society[SDE.MCG] Environmental Sciences/Global ChangesACASIS.West AfricaACASISHeat Wave (HW)[SDE.ES] Environmental Sciences/Environmental and SocietyFacteur de chaleur excessive (EHF)
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Durée et fréquence des vagues de chaleur en Afrique tropicale septentrionale selon 5 indices de chaleur.

2019

Thermal extremes generate health risks that are increasingly taken into account, including in tropical Africa. This work compares the duration and the frequency of spring heat waves (HWs) in West Africa according to 5 indices: Warm Spell (WS), Heat Index (HI) with and without the relative humidity, Apparent Temperature (AT), and Excess Heat Factor (EHF). The daily relative humidity and temperature data (minimum, maximum, dew point are provided by the GSOD database for the period 1973-2014 and cover 145 stations spread over a large African area (3-24°N; 24°W-36°E). The results show that the duration of the HWs is short on the coast (3 days) and they last longer inland the continent and in th…

Excess Heat Factor (EHF)indice de chaleur (HI)vague de chaleur (HW)[SDE.MCG]Environmental Sciences/Global Changesheat indexAfrique de l’Ouest[SHS.GEO]Humanities and Social Sciences/Geography[SDE.ES]Environmental Sciences/Environmental and SocietyACASIS.[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyWest AfricaACASISHeat Wave (HW)Facteur de chaleur excessive (EHF)
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Les vagues de chaleur au Sahel : définition et principales caractéristiques spatio-temporelles (1973-2014).

2016

A definition of heat waves (HW) relevant for dry tropical regions is proposed and tested in the Sahel (i.e. duration,intensity and frequency). The Heat Index (HI derivative of Steadman’s (1979) formula) is calculated on dailydata of 145 West African stations from the GSOD database over the period 1973-2014. HWs recorded inSahelian and Sudanese climates mainly occur in boreal spring, i.e. April-May-June. They are more frequentsince 1998 (+ 8% very hot days, T90p) and they become longer (+1.2 days per decade) and more intense (from+0.3 to 0.4 ° C / decade respectively Sudanese and Sahelian climate) on the end of the period 1973-2014.

Heat Index[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyHeat Waveindice de chaleur (HI)vague de chaleur (HW)[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologySahelACASISACASIS program[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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Les vagues de chaleur au Sahel : caractérisation, mécanismes, prévisibilité.

2016

The mechanisms controlling Sahelian heat wave (HW) variability are examined on the period 1979-2014 using the GSOD observational database and ERA-Interim reanalyses. HW events are analyzed through all terms of the atmospheric energy balance, showing a predominant role of incoming shortwave radiation on daily maximum temperature (Tx) and atmospheric water vapor on minimum temperature (Tn). The low-frequency warming trend, not explained by the previous terms, is thought to relate to the increase of greenhouse gases concentrations, due to anthropogenic emissions. The predictability of Sahelian HW events is assessed for lead times reaching up to 15 days. The model's skill, biases and uncertaint…

heat wavevague de chaleur[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyvariabilityvariabilitépredictabilitySahelACASISprévisibilité[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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