OS31A-1979
Quantifying Temporal and Spatial Variability of Nearshore Processes Around a Nearshore Kelp Forest Rocky Reef with the Kelp Forest Array Cabled Observatory

Wednesday, 16 December 2015
Poster Hall (Moscone South)
Michael E Squibb, Stanford University, Stanford, CA, United States, Stephen G Monismith, Stanford University, Los Altos Hills, CA, United States, Clifton Brock Woodson, University of Georgia, Athens, GA, United States, Jamie F Dunckley, Stanford University, Menlo Park, CA, United States, Rebecca G Martone, Center for Ocean Solutions, Stanford, CA, United States and Steve Y. Litvin, Hopkins Marine Station - Stanford University, Pacific Grove, CA, United States
Abstract:
Oceanographic data from the Kelp Forest Array (KFA) cabled observatory is used to determine the frequency, intensity, duration and seasonal variation of low-pH and low-DO events, and relate them to temperature and density variability associated with internal waves and upwelling. We employ standard time series analyses to determine the frequency distributions of variance in pH, DO, and T and coherence analysis to identify frequency dependent co-variability among the three variables. Statistical analysis is used to identify the probability of a hypoxic event of given strength (e.g., DO < 4.5 mg/l17) lasting for a given duration and compare this between habitats. Joint probability distribution functions of low-DO are computed from the data in the same way. This approach can be used to identify the likelihood of extreme events with respect to specific DO thresholds of physiological relevance for species of interest in MPAs.

The time scales and vertical structure of velocities, temperature, and dissolved oxygen associated with low-DO events are also analyzed to determine the dominant transport mechanisms for these events and how they are tied to internal shoaling waves prevalent in the southern part of Monterey Bay. The structure and evolution of shoaling internal "bores" are also shown to substantially alter the background nearshore dynamics with their arrival and relaxation. Our work in 2015 is contextualized by multi-year data sets from the three previous years which contain observations of both upwelling and non-upwelling periods.