Abstract:

This dataset contains temperature, pressure, depth, salinity, and density anomaly data collected with CTD casts on 14-16 December 2013 off Santa Rosa Island, Florida, as part of the Surfzone Coastal Oil Pathway Experiment (SCOPE), focused on measuring the inner-shelf and surf-zone processes responsible for oil transport. There were seven casts on each of the first two days, and twelve on the third day. The water column was sampled down to a depth of about 10-23 m, depending on location. The nominal sampling rate was 2 seconds. The intensive three-week SCOPE field campaign also employed a cross-shore array of fixed instruments to measure winds, waves, currents, and water properties from 10 m water depth to the shoreline; surface drifters; dye releases; and moving-vessel measuring platforms. This unique set of observations is valuable both for quantifying nearshore physics and mixing estimates, and for assessing nearshore model forecasts. Th e observations captured a wide range of wind- and wave-forcing due to a number of synoptic winter storms that occurred during the experiment. This dataset was created by the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE). This research was made possible by a grant from BP/The Gulf of Mexico Research Initiative.

Suggested Citation:

Jamie MacMahan. 2016. SCOPE Experiment CTD casts, Santa Rosa Island, Florida, December 2013. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7XK8CGH

Publications:

Roth, M. K., MacMahan, J., Reniers, A., Özgökmen, T. M., Woodall, K., & Haus, B. (2017). Observations of inner shelf cross-shore surface material transport adjacent to a coastal inlet in the northern Gulf of Mexico. Continental Shelf Research, 137, 142–153. doi:10.1016/j.csr.2016.12.017

Purpose:

CTD casts were made from ships to learn more about the nearshore processes responsible for oil transport. This unique set of observations is valuable both for quantifying nearshore physics and mixing estimates, and for assessing nearshore model forecasts.

Data Parameters and Units:

time (s) temperature (C) pressure (dBars) depth (m) salinity (PSU) density anomaly (kg/m^3)

Individual Files: