Can I read Parameterization of Below-cloud Scavenging for Polydisperse Fine Mode Aerosols as a Function of Rain Intensity on EtoBox?

Parameterization of Below-cloud Scavenging for Polydisperse Fine Mode Aerosols as a Function of Rain Intensity by Chang Hoon Jung; Hyung-Min Lee; Dasom Park; Young Jun Yoon; Yongjoo Choi; Junshik Um; Seoung Soo Lee; Ji Yi Lee; Yong Pyo Kim is a Environmental Science article available to read on EtoBox.

What is Parameterization of Below-cloud Scavenging for Polydisperse Fine Mode Aerosols as a Function of Rain Intensity about?

The below-cloud aerosol scavenging process by precipitation is one of the most important mechanisms to remove aerosols from the atmosphere. Due to its complexity and dependence on both aerosol and raindrop sizes, wet scavenging process has been poorly treated, especially during the removal of fine particles. This makes the numerical simulation of belowcloud scavenging in large-scale aerosol models unrealistic. To consider the slip effects of submicron particles, a simplified expression for the diffusion scavenging was developed by approximating the Cunningham slip correction factor. The derived analytic solution was parameterized as a simple power function of rain intensity under the assumption of the lognormal size distribution of particles. The resultant approximated expression was compared to the observed data and the results of previous studies including a 3D atmospheric chemical transport model simulation. Compared with the default GEOS-Chem coefficient of 0.00106 R 0.61 and the observation-based coefficient of 0.0144 R 0.9268 , the coefficient of a and b in m = aR b spread in the range of 0.0002-0.1959 for a and 0.3261-0.525 for b over a size distribution of GSD of 1.3-2.5 an

Who reads Parameterization of Below-cloud Scavenging for Polydisperse Fine Mode Aerosols as a Function of Rain Intensity?

Author

Chang Hoon Jung; Hyung-Min Lee; Dasom Park; Young Jun Yoon; Yongjoo Choi; Junshik Um; Seoung Soo Lee; Ji Yi Lee; Yong Pyo Kim

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)