Estimation of aerosol and cloud radiative heating rate in  the tropical stratosphere using a radiative kernel method

Gao, Jie; Huang, Yi; Wright, Jonathon S.; Li, Ke; Geng, Tao; Yu, Qiurun

doi:https://doi.org/10.5194/gmd-18-2569-2025

Articles | Volume 18, issue 9

https://doi.org/10.5194/gmd-18-2569-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-2569-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 9

Development and technical paper

|

12 May 2025

Development and technical paper |

| 12 May 2025

Estimation of aerosol and cloud radiative heating rate in the tropical stratosphere using a radiative kernel method

Jie Gao, Yi Huang, Jonathon S. Wright, Ke Li, Tao Geng, and Qiurun Yu

Supplement

https://doi.org/10.5194/gmd-18-2569-2025-supplement

Data sets

inst3_3d_aer_Nv: MERRA-2 3D IAU State, Meteorology Instantaneous 3-hourly (p-coord, 0.625x0.5L42), version 5.12.4 GMAO - Global Modeling and Assimilation Office https://doi.org/10.5067/LTVB4GPCOTK2

ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate C3S - Copernicus Climate Change Service https://cds.climate.copernicus.eu/#!/search?text=ERA5&type=dataset

Model code and software

Codes for "Estimation of aerosol and cloud radiative heating rate in tropical stratosphere using radiative kernel method'' Jie Gao https://doi.org/10.5281/zenodo.14359763

Aerosol and cirrus cloud radiative kernels in upper troposphere and stratosphere Jie Gao https://doi.org/10.5281/zenodo.14913495

Rapid Radiative Transfer Model for GCMs, ShortWave (RRTMG_SW), Rapid Radiative Transfer Model for GCMs, LongWave (RRTMG_LW) AER - Atmospheric and Environmental Research https://doi.org/10.5281/zenodo.14357597

Short summary

The aerosol in the upper troposphere and stratosphere is highly variable, and its radiative effect is poorly understood. To estimate this effect, the radiative kernel is constructed and applied. The results show that the kernels can reproduce aerosol radiative effects and are expected to simulate stratospheric aerosol radiative effects. This approach reduces computational expense, is consistent with radiative model calculations, and can be applied to atmospheric models with speed requirements.