In this study, we will demonstrate our preliminary results about SNO reflectance difference time series since 2013 between the SNPP OMPS/NM and the METOP-B GOME-2 observations. Firstly, we analyze the impacts of two criteria on selecting SNO pairs to create an optimal quality control (QC) criterion for the SNO pairs. To do this, both the NM and GOME-2 data are processed to produce two different types of SNO reflectance pixel pairs: 1) Pixel center distance is less than 45km and observation time difference is less than 120 seconds, and 2) Pixel center distance is less than 30km, observation time difference is less than 120 seconds, reflectance standard deviation from OMPS pixel and surrounding 8 pixels is less than 2%. The second criteria ensures that the GOME-2 pixel is fully covered by the big cluster made up by 3x3 OMPS pixels and each cluster has less impacts from heterogeneous surface or atmosphere. For most of the SNO events, there are more than 90 pixel pairs satisfying the first criteria for each SNO event, while less than 30 pixel pairs satisfy the second criteria. Furthermore, we use the SNO difference time series from 2013 to 2019 under different QC criteria to assess the long term calibration accuracy of the OMPS/NM reflectance against the GOME-2 observations. Preliminary results show that OMPS/NM reflectance data are more stable compared to GOME-2 measurements. The mean relative bias steadily increases from 2013 to present but the rate or increase decreases with wavelength. In addition, for each SNO event, the relative bias does not show obvious dependency on reflectance. Additionally, standard deviation of their relative bias does not show obvious dependency on time and is within 2% for most of SNO events, which is more or less related to the second SNO criterion. More analyses about those features and the root cause for the increased SNO differences will be presented in this study. To the best of our knowledge, the long-term monitoring of OMPS SDR reflectance accuracy using METOP-B GOME-2 data has not been well documented. It is thus expected that those SNO difference time series will be accessible to a broad user community through the ICVS website, after we better understand the SNO difference features.