Comparisons between the distributions of dust and combustion aerosols in MERRA-2, FLEXPART, and CALIPSO and implications for deposition freezing over wintertime Siberia

Zamora, Lauren M.; Kahn, Ralph A.; Evangeliou, Nikolaos; Groot Zwaaftink, Christine D.; Huebert, Klaus B.

doi:https://doi.org/10.5194/acp-22-12269-2022

Articles | Volume 22, issue 18

https://doi.org/10.5194/acp-22-12269-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-12269-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 18

Research article

|

20 Sep 2022

Research article |

| 20 Sep 2022

Comparisons between the distributions of dust and combustion aerosols in MERRA-2, FLEXPART, and CALIPSO and implications for deposition freezing over wintertime Siberia

Lauren M. Zamora, Ralph A. Kahn, Nikolaos Evangeliou, Christine D. Groot Zwaaftink, and Klaus B. Huebert

Supplement

https://doi.org/10.5194/acp-22-12269-2022-supplement

Data sets

FLEXPART black carbon aerosol L4 global daily 1 x 1 degrees L. M. Zamora, N. Evangeliou, C. D. Groot Zwaaftink, and R. A. Kahn https://doi.org/10.5067/XZOC4FV8LV3A

FLEXPART organic carbon aerosol L4 global daily 1 x 1 degrees L. M. Zamora, N. Evangeliou, C. D. Groot Zwaaftink, and R. A. Kahn https://doi.org/10.5067/L4CD2D15VU2G

FLEXPART dust aerosol L4 global daily 1 x 1 degrees L. M. Zamora, C. D. Groot Zwaaftink, N. Evangeliou, and R. A. Kahn https://doi.org/10.5067/3QGSHO836JHP

Aqua/AIRS L3 Daily Standard Physical Retrieval (AIRS+AMSU) 1 degree x 1 degree V7.0 AIRS project https://doi.org/10.5067/8XB4RU470FJV

CALIPSO Lidar Level 2 5 km Aerosol Layer Data V4-20 D. M. Winker https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_05kmALay-Standard-V4-20

ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis C. Amante and B. W. Eakins https://doi.org/10.7289/V5C8276M

MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/LTVB4GPCOTK2

MERRA-2 inst3_3d_asm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/WWQSXQ8IVFW8

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Short summary

Arctic dust, smoke, and pollution particles can affect clouds and Arctic warming. The distributions of these particles were estimated in three different satellite, reanalysis, and model products. These products showed good agreement overall but indicate that it is important to include local dust in models. We hypothesize that mineral dust effects on ice processes in the Arctic atmosphere might be highest over Siberia, where it is cold, moist, and subject to relatively high dust levels.