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Remote sensing has become an increasingly popular way to use the absorptivity, emissivity, and scattering of several key atmospheric constituents to estimate relevant properties of various meteorological and oceanographic phenomena, such as precipitation, sea surface temperature (SST), surface vector winds, and ocean surface currents. However, because many of the techniques are sensitive to rain, surface observations suffer from considerable ‘rain contamination’ during heavy rain events that make it difficult to view the surface. In these conditions, high resolution surface observations typically come from operational aircraft that are used to observe and study tropical cyclones (TCs) and other weather systems. Furthermore, most current satellites either measure with long wavelengths over an area much larger than desired hurricane features, or with too short a wavelength and can’t see the surface through the clouds or rain. Other techniques that provide high resolution surface observations through rain also suffer somewhat from rain contamination and are very sparse in space and time. One characteristic that has not been studied is the distribution of gap sizes in moderate to heavy rainbands that circulate around the main low pressure center of a TC. Aircraft data from the National Oceanic and Atmospheric Administration’s (NOAA’s) WP-3D turboprop aircraft will be used to create Lower Fuselage (LF) radar snapshots in plane-relative coordinates to determine the spatial distribution and size estimation of moderate to heavy rainband gaps, or near-zero reflectivity regions, near and around the core of hurricanes. The distribution of these gap sizes will provide very useful information on the satellite instrument characteristics needed to see the surface through these gaps. This information is expected to aid in hurricane-related applications of a new higher-resolution satellite.