37Understanding the role of different rainfall scenarios on faecal indicator organism (FIO) 38 dynamics under variable field conditions is important to strengthen the evidence-base on 39 which regulators and land managers can base informed decisions regarding diffuse 40 microbial pollution risks. We sought to investigate the impact of low intensity summer rainfall 41 on E. coli -discharge (Q) patterns observed at the headwater catchment scale in order to 42 provide new empirical data on FIO concentrations observed during base-flow conditions. In 43 addition, we evaluated the potential impact of using automatic samplers to collect and store 44 freshwater samples for subsequent microbial analysis during summer storm sampling 45 campaigns. The temporal variation of E. coli concentrations with Q was captured during six 46 events throughout a relatively dry summer in central Scotland. The relationship between E. 47 coli concentration and Q was complex with no discernible patterns of cell emergence with Q 48 that were repeated across all events. On several occasions an order of magnitude increase 49 in E. coli concentrations occurred even with slight increases in Q, but responses were not 50 consistent and highlighted the challenges of attempting to characterise temporal responses 51 of E. coli concentrations relative to Q during low intensity rainfall. Cross-comparison of E. 52 coli concentrations determined in water samples using simultaneous manual grab and 53 automated sample collection was undertaken with no difference in concentrations observed 54 between methods. However, the duration of sample storage within the autosampler unit was 55 found to be more problematic in terms of impacting on the representativeness of microbial 56 water quality, with unrefrigerated autosamplers exhibiting significantly different 57 concentrations of E. coli relative to initial samples after 12 hours storage. The findings from 58 this study provide important empirical contributions to the growing evidence-base in the field 59 of catchment microbial dynamics.