A theoretical sensitivity study of the influence of cirrus cloud properties on troposphericNO2 columns retrieved from the spaceborne Ozone Monitoring Instrument (OMI)measurements is performed. It is conducted within the framework of the synergetic useof A-Train sensors to derive more representative trace gas products. We aim to study thepotential effects of cirrus clouds on tropospheric NO2 retrievals using a retrievalalgorithm that, unlike the OMI Standard and DOMINO algorithms, does not correct forthe effects of clouds. The sensitivity study is based on the radiative transfer codeSCIATRAN that performs both simulations of top of atmosphere (TOA) reflectances asmeasured by an OMI-like band and tropospheric NO2 column retrievals based onthe differential optical absorption spectroscopy (DOAS) method. The results of thesensitivity study show that if a correction for cirrus clouds is not included in our simpleretrieval that does not account for clouds in the first place, the tropospheric column canbe underestimated by 55%. This underestimation depends strongly on cirrus parametersas, in order of importance, cloud fraction, cloud optical depth, asymmetry factor ofcirrus cloud phase function and cloud top height. The perspective of the synergybetween OMI and cloud information obtained from cloud-derived products of theA-Train is evaluated in two parts by applying a simple cloud correction scheme based onthe independent pixel approximation (IPA). Firstly, we evaluated the tropospheric NO2column retrievals error caused by uncertainties in cirrus cloud properties. Secondly westudied the influence of subpixel cloud optical depth variability on NO2 retrievals. Fromour simulations, it is demonstrated that the error will be reduced significantly if thecloud fraction is lower or equal to 0.5. In this case, the cloud fraction and the cloudoptical depth must be known within accuracy less than 0.05% and 50%, respectively. Thecloud top height and the asymmetry factor must be known within uncertainty of at least1 km and less than 0.05, respectively. The latter result shows that the uncertainty of theasymmetry factor is a major source of error in the cloud correction for tropospheric NO2retrieval in the presence of cirrus.