@article{fdi:010092256, title = {{D}ust content modulation and spring heat waves in {S}enegal (2003-2022)}, author = {{D}iouf, {S}. and {S}ambou, {M}. {J}. {G}. and {D}eme, {A}. and {F}all, {P}. and {G}ueye, {D}. and {M}ignot, {J}uliette and {J}anicot, {S}erge}, editor = {}, language = {{ENG}}, abstract = {{T}he population of {S}enegal faces health challenges related to desert dust and heat waves ({HW}s). {T}his study aims to (a) update the documentation of {HW}s in {S}enegal, expanding on the work of {S}ambou et al. (2019); (b) investigate the modulation of dust indicators during {HW}s; and (c) assess the distinct impacts of dust content on night-time and daytime {HW}s. {W}e use [i] the daily maximum air temperature ({T}x), minimum air temperature ({T}n), and apparent temperature ({T}a) from 12 stations in the {G}lobal {S}urface {S}ummary of the {D}ay ({GSOD}) database and [ii] the {D}ust {A}erosol {O}ptical {D}epth ({D}ust {AOD}), particulate matter ({PM}) concentrations, 925 h{P}a wind, and {M}ean {S}ea {L}evel {P}ressure ({MSLP}) from the {C}opernicus {A}tmosphere {M}onitoring {S}ervice ({CAMS}) reanalysis. {HW}s are defined for each station in spring as periods when {T}x, {T}n, or {T}a exceeds the 95th percentile for at least three consecutive days. {T}hree homogeneous zones from the {A}tlantic coast to inland {S}enegal are identified using hierarchical cluster analysis: {Z}one 1 ({S}aint-{L}ouis, {D}akar-{Y}off, {Z}iguinchor, and {C}ap {S}kirring), {Z}one 2 ({P}odor, {L}ingu & egrave;re, {D}iourbel, and {K}aolack), and {Z}one 3 ({M}atam, {T}ambacounda, {K} & eacute;dougou, and {K}olda). {O}ur results show that {Z}one 1 records the highest number of {HW}s for {T}x, {T}n, and {T}a, while {Z}one 3 experiences more {HW}s in terms of {T}n and {T}a than {Z}one 2. {T}he influence of dust is notably stronger for {HW}s linked to {T}n and {T}a than for those related to {T}x. {A}nalysis of the mechanisms shows that the presence of dust in {S}enegal and its surrounding regions is detected up to four days before the onset of {HW}s. {T}hese findings suggest that dust conditions associated with spring {HW}s in {S}enegal may be better distinguished and predicted.}, keywords = {heat waves ; dust ; {GSOD} ; {CAMS} ; {S}enegal ; {SENEGAL}}, booktitle = {}, journal = {{A}tmosphere}, volume = {15}, numero = {12}, pages = {1413 [35 p.]}, year = {2024}, DOI = {10.3390/atmos15121413}, URL = {https://www.documentation.ird.fr/hor/fdi:010092256}, }