Articles | Volume 23, issue 10
Research article
23 May 2023
Research article |  | 23 May 2023

Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator

Ernesto Reyes-Villegas, Douglas Lowe, Jill S. Johnson, Kenneth S. Carslaw, Eoghan Darbyshire, Michael Flynn, James D. Allan, Hugh Coe, Ying Chen, Oliver Wild, Scott Archer-Nicholls, Alex Archibald, Siddhartha Singh, Manish Shrivastava, Rahul A. Zaveri, Vikas Singh, Gufran Beig, Ranjeet Sokhi, and Gordon McFiggans

Data sets

PROMOTE-emissions (v1.0) Douglas Lowe, Ying Chen, and Gordon McFiggans

WRF_UoM_EMIT Douglas Lowe, Scott Archer-Nicholls, Alex Archibald, Ying Chen, Oliver Wild, and Gordon McFiggans

PROMOTE_VBS_scenarios Douglas Lowe, Ernesto Reyes-Villegas, and Gordon McFiggans

Scenario Configurations for Simulating Organic Aerosol in Delhi using WRF-Chem and a VBS Approach Douglas Lowe, Jill S. Johnson, Ernesto Reyes-Villegas, Ken Carslaw, and Gordon McFiggans

Model code and software

promote_wrfchem_scripts (v1.0) Douglas Lowe and Gordon McFiggans

Short summary
Organic aerosols (OAs), their sources and their processes remain poorly understood. The volatility basis set (VBS) approach, implemented in air quality models such as WRF-Chem, can be a useful tool to describe primary OA (POA) production and aging. However, the main disadvantage is its complexity. We used a Gaussian process simulator to reproduce model results and to estimate the sources of model uncertainty. We do this by comparing the outputs with OA observations made at Delhi, India, in 2018.
Final-revised paper