Scattering
This data set consists of broadband VLF data that is used to calculate polarization for the paper titled "Polarization-Based VLF Remote Sensing of Transient Ionospheric Disturbances." The data is collected on two orthogonal magnetic loop antennas with 16-bit resolution at 100 kHz sample rate, with timing provided by a GPS-trained oscillator. EG is East Granby, Connecticut, and CN is Chapel Hill, North Carolina. The start dates and start times for the file are encoded in the file title: YYMMDDHHMMSS.
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This is the data Archive for Zhang, et al., “A Geophysical Model Function for S-band Reflectometry of Ocean Surface Winds in Tropical Cyclones,” accepted by Geophysical Research Letters. This data set was generated from twelve (12) days of airborne S-band (2.3 GHz) reflectometry data collected during the 2014 hurricane season between 2 July 2014 and 17 September 2014. Cross-correlations between the direct and reflected S-band signals, commonly referred to as the “waveform” or delay-Doppler map (DDM) are provided with corresponding aircraft time and position data.
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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.
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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.
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