Many remote communities in Alaska have significant hydrokinetic resources. However, the remote locations make collecting large amounts of resource data challenging and costly. Through accurately up sampling hourly ADCP data, we are seeking ways to faithfully reproduce annual energy estimates for velocity time series with high enough temporal resolution to be useful for grid-modeling tools. Many of these remote Alaska communities have populations of less than three hundred individuals, subsequently, electrical demands are low compared to communities elsewhere in the United States. The remote locations mean many of these communities have islanded microgrids which increases the complexity of implementing variable renewable resources while still meeting the electrical needs of the community. Being able to up sample measured resource data will help to bridge the tecno-economic gap of how to meet the energy requirements of these small, islanded communities. This up sampling process was done by taking resource data at a higher-resolution (16 Hz) and comparing it to hourly ADCP data, multiple times. This presentation will show the results of up sampling a data set compared to the high-resolution data.