Currently, SWOOSH uncertainty estimates for the merged timeseries includes terms related to the homogenization adjustment, instrument precision, and a rough estimate of statistical sampling uncertainty based on the number of samples in a bin. To date, no effort has been made to quantify or correct for errors due to non-uniform spatial and temporal sampling of the satellites used by SWOOSH.
Here, we sample a climate model with the sampling patterns of the SWOOSH satellites to quantify errors due to spatial and temporal sampling inhomogeneities. Overall, sampling uncertainties are small during the MLS period, but are substantial in the early record. The climate model-sampled fields are used to develop a new method of correcting for sampling error in SWOOSH. The impact of correcting for sampling errors is discussed in the context of understanding long term variability in stratospheric ozone and WV.