Abstract
In this study, we investigate the interactions between particulate matter that have an aerodynamic diameter less than 10 μm diameter (PM10) and rainfall (RR) in entropy framework. Our results showed there is a bidirectional causality between PM10 concentrations and RR values. This means that PM10 concentrations influence RR values while RR induces the wet scavenging process. Rainfall seasonality has a significant impact on the wet scavenging process while African dust seasonality strongly influence RR behavior. Indeed, the wet scavenging process is 5 times higher during the wet season while PM10 impact on RR is 2.5 times higher during the first part of the high dust season. These results revealed two types of causality: a direct causality (RR to PM10) and an indirect causality (PM10 to RR). All these elements showed that entropy is an efficient way to quantify the behavior of atmospheric processes using ground-based measurements.
Highlights
In the literature, it is well known that aerosols have an impact on climate [1,2,3]
One can notice there is a correlation between PM10 and RR in the frequency domain
The aim of this study was to assess the interactions between PM10 and rainfall (RR) using ground-based measurements
Summary
It is well known that aerosols have an impact on climate [1,2,3]. These effects can be direct by scattering and partly absorbing solar radiation [4,5], or indirect by modifying the microphysical properties of clouds [6,7]. Clouds form when air is cooled and becomes supersaturated with water or ice [8]. The excess vapor that results from this process condenses on aerosol particles that will serve as cloud condensation nuclei (CCN) or ice nuclei (IN). The aerosol–cloud interactions (ACIs) strongly depend on cloud types which are mainly controlled by atmospheric dynamics and thermodynamics
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