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Where Dust Comes From: Global Assessment of Dust Source Attributions With AeroCom Models

  • Dongchul Kim
  • , Mian Chin
  • , Greg Schuster
  • , Hongbin Yu
  • , Toshihiko Takemura
  • , Paolo Tuccella
  • , Paul Ginoux
  • , Xiaohong Liu
  • , Yang Shi
  • , Hitoshi Matsui
  • , Kostas Tsigaridis
  • , Susanne E. Bauer
  • , Jasper F. Kok
  • , Michael Schulz

Research output: Contribution to journalArticlepeer-review

Abstract

The source of dust in the global atmosphere is an important factor to better understand the role of dust aerosols in the climate system. However, it is a difficult task to attribute the airborne dust over the remote land and ocean regions to their origins since dust from various sources are mixed during long-range transport. Recently, a multi-model experiment, namely the AeroCom-III Dust Source Attribution (DUSA), has been conducted to estimate the relative contribution of dust in various locations from different sources with tagged simulations from seven participating global models. The BASE run and a series of runs with nine tagged regions were made to estimate the contribution of dust emitted in East- and West-Africa, Middle East, Central- and East-Asia, North America, the Southern Hemisphere, and the prominent dust hot spots of the Bodélé and Taklimakan Deserts. The models generally agree in large scale mean dust distributions, however models show large diversity in dust source attribution. The inter-model differences are significant with the global model dust diversity in 30%–50%, but the differences in regional and seasonal scales are even larger. The multi-model analysis estimates that North Africa contributes 60% of global atmospheric dust loading, followed by Middle East and Central Asia sources (24%). Southern hemispheric sources account for 10% of global dust loading, however it contributes more than 70% of dust over the Southern Hemisphere. The study provides quantitative estimates of the impact of dust emitted from different source regions on the globe and various receptor regions including remote land, ocean, and the polar regions synthesized from the seven models.

Original languageEnglish
Article numbere2024JD041377
JournalJournal of Geophysical Research: Atmospheres
Volume129
Issue number16
DOIs
Publication statusPublished - Aug 28 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences (miscellaneous)

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