Secondary organic aerosol derived from isoprene epoxydiols (IEPOX-SOA) is thought to contribute the dominant fraction of total isoprene SOA, but the current volatility-based lumped SOA parameterizations are not appropriate to represent the reactive uptake of IEPOX onto acidified aerosols. A full explicit modelling of this chemistry is however computationally expensive owing to the many species and reactions tracked, which makes it difficult to include it in chemistry climate models for long-15 term studies. Here we present three simplified parameterizations for IEPOX-SOA simulation, based on an approximate analytical / fitting solution of the IEPOX-SOA yield and formation timescale. The yield and timescale can then be directly calculated using the global model fields of oxidants, NO, aerosol pH and other key properties, and dry deposition rates. The advantage of the proposed parameterizations is that they do not require the simulation of the intermediates while retaining the key physico-chemical 20 dependencies. We have implemented the new parameterizations into the GEOS-Chem v11-02-rc chemical transport model, which has two empirical treatments for isoprene SOA (the volatility basis set (VBS) approach and a fixed 3% yield parameterization) and compared all of them to the case with detailed full chemistry. The best parameterization (PAR3) captures the global tropospheric burden of IEPOX-SOA and its spatio-temporal distribution (R 2 = 0.93) vs. those simulated by the full chemistry, while being 25 more computationally efficient (~5 times faster), and accurately captures the response to changes on NOx and SO2 emissions. On the other hand, the constant 3% yield that is now default in GEOS-Chem deviates strongly (R 2 = 0.65, 63% underestimation), as does the VBS (R 2 = 0.45, 78% underestimation), with neither parameterization capturing the response to emission changes. With the advent of new mass spectrometry instrumentation, many detailed SOA mechanisms are being developed, which will challenge 30 global and especially climate models with their computational cost. The methods developed in this study can be applied to other SOA pathways, which can allow including accurate SOA simulations in climate and global modeling studies in the future. Geosci. Model Dev. Discuss., https://doi.3 non-linear chemistry by various factors. The IEPOX-SOA yield from IEPOX are 17.3% (3.7/21.4) and 25.3% (1.9/7.5), respectively for (a) Amazon and (b) Beijing based on GEOS-Chem model calculations, which can be mainly explained by the higher available aerosol surface area in Beijing compared to Amazon. 65