We present the collective evaluation of the regional scale models that took part in the fourth edition of the Air Quality Model Evaluation International Initiative (AQMEII). The activity consists of the evaluation and intercomparison of regional scale air quality models run over North American (NA) and European (EU) domains in 2016 (NA) and 2010 (EU). The focus of the paper is ozone deposition. The collective consists in an operational evaluation (Dennis et al., 2010, namely a direct comparison of model-simulated predictions with monitoring data aiming at assessing model performance. Following the AQMEII protocol and Dennis et al. (2010), we also perform a probabilistic evaluation in the form of ensemble analyses and an introductory diagnostic evaluation. The latter, analyses the role of dry deposition in comparison with dynamic and radiative processes and land-use/land-cover types (LULC), in determining surface ozone variability. Important differences are found across deposition results when the same LULC is considered. Models use very different LULC masks, thus introducing an additional level of diversity in the model results. The study stresses that, as for other kinds of prior and problem-defining information (emissions, topography or land-water masks), the choice of a LULC mask should not be at modeller’s discretion. Furthermore, LULC should be considered as variable to be evaluated in any future model intercomparison, unless set as common input information. The differences in LULC selection can have a substantial impact on model results, making the task of evaluating deposition modules across different regional-scale models very difficult.