Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator
نویسندگان
چکیده
Abstract. The nature and origin of organic aerosol in the atmosphere remain unclear. gas–particle partitioning semi-volatile compounds (SVOCs) that constitute primary aerosols (POAs) multigenerational chemical aging SVOCs are particularly poorly understood. volatility basis set (VBS) approach, implemented air quality models such as WRF-Chem (Weather Research Forecasting model with Chemistry), can be a useful tool to describe emissions POA its evolution. However, evaluation uncertainty optimal parameterization may expensive probe using only simulations. Gaussian process emulators, trained on simulations from relatively few simulations, capable reproducing results estimating sources within defined range parameters. In this study, VBS is proposed; we then generate perturbed parameter ensemble 111 runs, perturbing 10 parameters relating oxidation reactions. This allowed us cover model's space compare outputs each run mass spectrometer observations concentrations O:C ratios measured New Delhi, India. spanned (AMS). they also highlighted potential structural errors related unsuitable diurnal cycles and/or failure adequately represent dynamics planetary boundary layer. While prevented clearly identifying an optimized approach WRF-Chem, were able apply emulator following two periods: full period (1–29 May) subperiod 14:00–16:00 h LT (local time) 1–29 May. combination analysis metrics identify plausible combinations for analyzed periods. We demonstrate methodology presented study used determine appropriate hence provide valuable information improve our understanding OA production.
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ژورنال
عنوان ژورنال: Atmospheric Chemistry and Physics
سال: 2023
ISSN: ['1680-7316', '1680-7324']
DOI: https://doi.org/10.5194/acp-23-5763-2023