Articles | Volume 16, issue 4
https://doi.org/10.5194/esd-16-1237-2025
https://doi.org/10.5194/esd-16-1237-2025
Research article
 | 
01 Aug 2025
Research article |  | 01 Aug 2025

Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia

Chayan Roychoudhury, Cenlin He, Rajesh Kumar, and Avelino F. Arellano Jr.

Data sets

CAMS global reanalysis (EAC4) Copernicus Atmosphere Monitoring Service https://doi.org/10.24381/d58bbf47

MODIS/Aqua Snow Cover Daily L3 Global 0.05Deg CMG, MYD10C1, Version 61 D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MYD10C1.061

MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, MOD10C1, Version 61 D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MOD10C1.061

GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V07 G. J. Huffman et al. https://doi.org/10.5067/GPM/IMERGDF/DAY/07

MERRA-2 inst1_2d_asm_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO): https://doi.org/10.5067/3Z173KIE2TPD

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

MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/KLICLTZ8EM9D

MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/7MCPBJ41Y0K6

MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/RKPHT8KC1Y1T

MERRA-2 tavg1_2d_rad_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/Q9QMY5PBNV1T

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

High Mountain Asia 12km Modeled Estimates of Aerosol Transport, Chemistry, and Deposition Reanalysis, 2003–2019 (HMA2_MATCHA, Version 1) R. Kumar et al. https://doi.org/10.5067/CG4OT8DJX2Z7

MODIS/Terra+Aqua AOD and Water Vapor from MAIAC, Daily L3 Global 0.05Deg CMG V061 A. Lyapustin https://doi.org/10.5067/MODIS/MCD19A2CMG.061

MOD11C1 MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V006 Z. Wan et al. https://doi.org/10.5067/MODIS/MOD11C1.006

Download
Short summary
We present a novel data-driven approach to understand how pollution and weather processes interact to influence snowmelt in Asian glaciers and how these interactions are represented in three climate models. Our findings show where models need improvement in predicting snowmelt, particularly dust and its transport. This method can support future model development for reliable predictions in climate-vulnerable regions.
Share
Altmetrics
Final-revised paper
Preprint