Aerosol–precipitation elevation dependence over the central Himalayas using cloud-resolving WRF-Chem numerical modeling

Adhikari, Pramod; Mejia, John F.

doi:https://doi.org/10.5194/acp-23-1019-2023

Articles | Volume 23, issue 2

https://doi.org/10.5194/acp-23-1019-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-1019-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 2

Research article

|

20 Jan 2023

Research article |

| 20 Jan 2023

Aerosol–precipitation elevation dependence over the central Himalayas using cloud-resolving WRF-Chem numerical modeling

Pramod Adhikari and John F. Mejia

Supplement

https://doi.org/10.5194/acp-23-1019-2023-supplement

Data sets

MODIS Atmosphere L3 Daily Product S. Platnick https://doi.org/10.5067/MODIS/MOD08_D3.006

GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 G. J. Huffman, E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan https://doi.org/10.5067/GPM/IMERG/3B-HH/06

Upper-air-sounding data Department of Atmospheric Science, University of Wyoming http://weather.uwyo.edu/upperair/sounding.html

AERONET data Aerosol Robotic Network https://aeronet.gsfc.nasa.gov/cgi-bin/webtool_aod_v3

Model code and software

Weather Research and Forecasting Model National Center for Atmospheric Research (NCAR) https://github.com/wrf-model

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Short summary

We used an atmospheric model to assess the impact of aerosols through radiation and cloud interaction on elevation-dependent precipitation and surface temperature over the central Himalayan region. Results showed contrasting altitudinal precipitation responses to the increased aerosol concentration, which can significantly impact the hydroclimate of the central Himalayas, increasing the risk for extreme events and influencing the regional supply of water resources.