| Autor: |
Petrenko, Mariya, Kahn, Ralph, Mian Chin, Bauer, Susanne E., Bergman, Tommi, Huisheng Bian, Curci, Gabriele, Johnson, Ben, Kaiser, Johannes W., Kipling, Zak, Kokkola, Harri, Xiaohong Liu, Mezuman, Keren, Mielonen, Tero, Myhre, Gunnar, Xiaohua Pan, Protonotariou, Anna, Remy, Samuel, Skeie, Ragnhild Bieltvedt, Stier, Philip |
| Zdroj: |
Atmospheric Chemistry & Physics Discussions; 5/31/2024, p1-39, 39p |
| Abstrakt: |
We assessed the performance of 11 AeroCom models in simulating biomass burning (BB) smoke aerosol optical depth (AOD) in the vicinity of fires over 13 regions globally. By comparing multi-model outputs and satellite observations, we aim to: (1) assess the factors affecting model-simulated, BB AOD performance using a common emissions inventory, (2) identify regions where the emission inventory might underestimate or overestimate smoke sources, and (3) identify anomalies that might point to model-specific smoke emission, dispersion, or removal, issues. Using satellite-derived AOD snapshots to constrain source strength works best where BB smoke from active sources dominates background aerosol, such as in boreal forest regions and over South America and southern-hemisphere Africa. The comparison is poor where 40 the total AOD is low, as in many agricultural burning areas or where background, non-BB AOD is high, such as parts of India and China. Many inter-model BB AOD differences can be traced to differences in model-assumed values for the mass ratio of organic aerosol to organic carbon, the BB aerosol mass extinction efficiency, and the aerosol loss-rate. The results point to the need for increased numbers of available BB cases for study in some regions, and especially to the need for more extensive, regional45 to-global-scale measurements of aerosol loss rates and of detailed microphysical and optical properties; this would better constrain models and help distinguish BB from other aerosols in satellite retrievals. More generally, there is the need for additional efforts at constraining aerosol source strength and other model attributes with multi-platform observations. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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