the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally-refined global aerosol-climate model
Jianfeng Li
Balwinder Singh
Shixuan Zhang
Hailong Wang
Po-Lun Ma
Abstract. Emissions of anthropogenic aerosol and their precursors are often prescribed in global aerosol models. Most of these emissions are spatially heterogeneous at model grid scales. When remapped from low-resolution data, the spatial heterogeneity in emissions can be lost, leading to large errors in the simulation. It can also cause the conservation problem if non-conservative remapping is used. The default anthropogenic emission treatment in Energy Exascale Earth System Model (E3SM) is subject to both problems. In this study, we introduce a revised emission treatment for the E3SM atmosphere model (EAM) that ensures conservation of mass fluxes and preserves the original emission heterogeneity at the model-resolved grid scale. We assess the error estimates associated with the default emission treatment and the impact of improved heterogeneity and mass conservation in both globally uniform standard-resolution (~165 km) and regionally-refined high-resolution (~42 km) simulations. The default treatment incurs significant errors near surface, particularly over sharp emission gradient zones. Much larger errors are observed in high-resolution simulations. It substantially underestimates the aerosol burden, surface concentration, and aerosol sources over highly polluted regions, while overestimates these quantities over less-polluted adjacent areas. Large errors can persist at higher elevation for daily mean estimates, which can affect aerosol extinction profiles and aerosol optical depth (AOD). We find that the revised treatment significantly improves the accuracy of the aerosol emissions from surface and elevated sources near sharp spatial gradient regions, with significant improvement in the spatial heterogeneity and variability of simulated surface concentration in high-resolution simulations. In the next-generation E3SM running at convection-permitting scales where the resolved spatial heterogeneity is significantly increased, the revised emission treatment is expected to be better represent the aerosol emissions as well as their lifecycle and impacts on climate.
- Preprint
(14236 KB) - Metadata XML
-
Supplement
(58065 KB) - BibTeX
- EndNote
Taufiq Hassan et al.
Status: open (until 02 Nov 2023)
Taufiq Hassan et al.
Data sets
EAMv2 anthropogenic aerosol emissions data in model-native spectral-element grid Taufiq Hassan and Kai Zhang https://doi.org/10.5281/zenodo.7823686
ggen: Python package for generating grid meshes and performing conservative remapping Taufiq Hassan https://doi.org/10.5281/zenodo.7931486
Model code and software
Energy Exascale Earth System Model v2.0 E3SM Project, DOE https://doi.org/10.11578/E3SM/dc.20210927.1
Source code for E3SMv2 improved emission treatment Taufiq Hassan, Kai Zhang and Balwinder Singh https://doi.org/10.5281/zenodo.7823633
Taufiq Hassan et al.
Viewed
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
126 | 49 | 9 | 184 | 23 | 11 | 8 |
- HTML: 126
- PDF: 49
- XML: 9
- Total: 184
- Supplement: 23
- BibTeX: 11
- EndNote: 8
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1