14- Multiscale analysis of the dynamic relationship between particulate matter (PM10) and meteorological parameters using CEEMDAN: A focus on ‘‘Godzilla’’ African dust event [Plocoste (2022)]

Sand mists have a strong impact on climatic conditions. This article analyzes the dynamic relationship between PM10 particles and meteorological parameters (solar radiation (𝑆𝑅), air temperature (𝑇), wind speed and direction (𝑈 and 𝐷), rainfall (𝑅), relative humidity (𝑅ℎ ) and visibility (𝑉)) using time-dependent intrinsic correlation (TDIC) analysis. TDIC analysis captured both negative and positive correlations between PM10 and meteorological parameters for all time scales examined. These correlations are nevertheless more significant for an average period ranging from 1 to 7 days in connection with sand mists. During the high dust season (May – September), our results have shown that these events have a major impact on the climate. The trends differ depending on the meteorological parameters. On a daily scale, positive (negative) correlations were found between PM10 and 𝑆𝑅, 𝑇, and 𝑉 (𝑅 and 𝑅ℎ). These correlations can change as time scales increase. The transition periods between the low (October – April) and the high dust season, but also before and after the passages of rainfall events, were identified by the TDIC analysis. The impact of the biggest sandstorm of the last 50 years on the climate has also been highlighted locally for a time scale corresponding to the duration of its passage, i.e. between 1 and 4 days.