Technical Abstract: Quantifying magnitudes and frequencies of rainless periods between storms (TBS), or storm occurrence, is required for modeling precipitation inputs to watershed models for conservation studies, particularly the subdaily time and local area scale. Two parameters characterize TBS, minimum TBS (MTBS) and average TBS (ATBS) – both vary monthly and are calculated by assuming TBS follows an exponential distribution. Detecting changes in these parameters due to climate are important for precipitation and climate studies at small time and space scales, but there are issues with depth resolution of precipitation data that must be investigated. Precipitation data having 1-min temporal and 0.25-mm depth resolutions from the UDSA-Agricultural Research Service, North Appalachian Experimental Watershed (NAEW) at Coshocton, Ohio were used to determine the spatial variability and consistency of estimates, and the impacts of “coarsening” the depth resolution of data to 2.54 mm. The magnitudes and trends of changes in MTBS and ATBS are determined for 3 rain gauges over the 425-ha NAEW, and extended to other gauges in the Ohio region. Approximately 5800 parameter pairs were computed for different data configurations. Small spatial scale, NAEW high resolution precipitation data, shows consistent MTBS and ATBS long-term values for each month, but more variability in estimates for MTBS than ATBS. Climate-change trends for MTBS and ATBS are not apparent and generally consistent for different NAEW gauges, except for Nov when all gauges were consistently significant for ATBS. There is a weak indication that the fall months may be affected by significant shortening of ATBS at the NAEW and in NE Ohio due to climate change, but more data are needed. A coarser NAEW data resolution results in consistent no-trend indications for MTBS, but not for ATBS. The coarse resolution data may not be adequate to characterize TBS for investigating changes due to climate change unless more data manipulation is applied, such as identifying and excluding “dry” times when precipitation may have occurred. Precipitation records with mixed resolution data cannot be used to detect climate changes of dry periods. Much more data and data preparation are needed to arrive at firm conclusions regarding climate change effects on TBS in Ohio.