Preprints
https://doi.org/10.5194/egusphere-2023-823
https://doi.org/10.5194/egusphere-2023-823
12 Jun 2023
 | 12 Jun 2023

A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: evaluation in the Community Earth System Model (CESM2)

Danny M. Leung, Jasper F. Kok, Longlei Li, Natalie M. Mahowald, David M. Lawrence, Simone Tilmes, Erik Kluzek, Martina Klose, and Carlos Pérez García-Pando

Abstract. Desert dust is an important atmospheric aerosol that affects the Earth's climate, biogeochemistry, and air quality. However, current Earth system models (ESMs) struggle to accurately capture the impact of dust on the Earth’s climate and ecosystems, in part because these models lack several essential aeolian processes that couple dust with climate and land surface processes. In this study, we address this issue by implementing several new parameterizations of aeolian processes detailed in our companion paper into the Community Earth System Model version 2 (CESM2). These processes include (1) incorporating a realistic soil particle size distribution to calculate the dust emission threshold friction velocity, (2) accounting for the drag partition effect of rocks and vegetation in reducing wind stress on erodible soils, (3) accounting for the intermittency of dust emissions due to unresolved turbulent wind fluctuations, and (4) correcting the spatial variability of simulated dust emissions from native to higher spatial resolutions on spatiotemporal dust variability. Our results show that the modified dust emission scheme significantly reduces the model bias against observations compared to the default scheme and improves the correlation against observations of multiple key dust variables such as dust aerosol optical depth (DAOD), surface particulate matter (PM) concentration, and deposition flux. Our scheme’s dust also correlates strongly with various meteorological and land surface variables, implying higher sensitivity of dust to future climate change than other schemes’ dust. These findings highlight the importance of including additional aeolian processes for improving the performance of ESM aerosol simulations and potentially enhancing model assessments of how dust impacts climate and ecosystem changes.

Danny M. Leung et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-823', Anonymous Referee #1, 05 Jul 2023
  • RC2: 'Comment on egusphere-2023-823', Anonymous Referee #2, 31 Aug 2023
  • AC1: 'Comment on egusphere-2023-823', Danny Leung, 02 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-823', Anonymous Referee #1, 05 Jul 2023
  • RC2: 'Comment on egusphere-2023-823', Anonymous Referee #2, 31 Aug 2023
  • AC1: 'Comment on egusphere-2023-823', Danny Leung, 02 Nov 2023

Danny M. Leung et al.

Viewed

Total article views: 569 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
364 185 20 569 51 11 9
  • HTML: 364
  • PDF: 185
  • XML: 20
  • Total: 569
  • Supplement: 51
  • BibTeX: 11
  • EndNote: 9
Views and downloads (calculated since 12 Jun 2023)
Cumulative views and downloads (calculated since 12 Jun 2023)

Viewed (geographical distribution)

Total article views: 562 (including HTML, PDF, and XML) Thereof 562 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Dec 2023
Download
Short summary
This study uses a premier Earth system model to evaluate a new desert dust emission scheme proposed in our companion paper. We show that our scheme accounts for more dust emission physics, hence matching better against observations than other existing dust emission schemes do. Our scheme's dust emissions also couple tightly with meteorology, hence likely improving the modeled dust sensitivity to climate change. We believe this work is vital for improving dust representation in climate models.