Articles | Volume 25, issue 4
https://doi.org/10.5194/acp-25-2311-2025
https://doi.org/10.5194/acp-25-2311-2025
Research article
 | 
21 Feb 2025
Research article |  | 21 Feb 2025

A global dust emission dataset for estimating dust radiative forcings in climate models

Danny M. Leung, Jasper F. Kok, Longlei Li, David M. Lawrence, Natalie M. Mahowald, Simone Tilmes, and Erik Kluzek

Data sets

Data and source code for "A global dust emission dataset for estimating dust radiative forcings in climate models'' Danny M. Leung et al. https://doi.org/10.5281/zenodo.14597684

Download
Short summary
This study derives a gridded dust emission dataset for 1841–2000 by employing a combination of observed dust from core records and reanalyzed global dust cycle constraints. We evaluate the ability of global models to replicate the observed historical dust variability by using the emission dataset to force a historical simulation in an Earth system model. We show that prescribing our emissions forces the model to better match observations than other mechanistic models.
Share
Altmetrics
Final-revised paper
Preprint