Coastal Time-lapse Stereo Photogrammetry during DEEPWAVE New Zealand

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Tuesday, 6 January 2015: 4:45 PM
130 (Phoenix Convention Center - West and North Buildings)
Tashiana C. Osborne, Saint Cloud State University, Saint Cloud, MN; and B. J. Billings

Stereo images of cloud patterns and near-shore waves upstream of the Southern Alps during DEEPWAVE are presented through photogrammetric analysis. The photos highlighted of this case were taken in the afternoon of Friday, 13 June 2014. These photos were chosen because they allow for focused analysis of cloud evolution over the ocean. Stratocumulus and other cumuliform, as well as cirrus clouds were captured as the sun set over the Tasman Sea, one of the South Pacific Ocean's marginal seas. Breaks in the thin band of stratocumulus along the shoreline, as well as the total time for cloud layer dissipation are also of interest. Views look northwest from Serpentine Road in Kumara Junction, South Island, New Zealand.

An Integrated Sounding System (ISS) located at the Hokitika Airport was the primary source of vertical profiles. The upper air sounding closest to the shoot time and location, plotted from Hokitika's 11:05 UTC upsonde data, shows 10 m/s NE winds near the surface. Images were taken on days with research flights over New Zealand from 2 June to 23 June 2014 to match DEEPWAVE objectives. On the night of 13 June 2014, NSF/NCAR's G-V HIAPER research aircraft completed a flight from Christchurch over the South Island. This flight became known as Intensive Observing Period 3 (IOP 3) Sensitivity Flight.

Methods applied in the Terrain-Induced Rotor Experiment (T-REX) by Grubišić and Grubišić (2007) were closely followed while capturing stereo photographic images. Two identical cameras were positioned with a separation baseline of approximately 250 meters. Each camera was tilted upward approximately seven degrees and carefully positioned to capture parallel fields of view of the site. Developing clouds were captured using synchronized camera timers on a ten second interval. Ultimately, cloud locations and measurements can be determined using the recorded GPS locations of the cameras. The Camera Calibration Toolbox available for MATLAB was used in order to perform these elaborate triangulation calculations.