Year: 2024
Type: article
Abstract: Retention of surface water parcels can benefit coastal ecosystems by increasing the residence times of nutrient‐rich waters and marine larvae but can also negatively impact marine life and human health by concentrating oil and other pollutants. To investigate the spatial patterns, temporal variability, and drivers of retention, surface water parcel retention is quantified using particle simulations forced by high‐frequency radar surface current observations in the Santa Barbara Channel (SBC), California, USA. Retention is defined here as the time a particle remains within 20 km of its starting location and typical retention times are ∼4 days. However, the mechanisms driving retention differ across the SBC. In the central SBC, high retention times are driven by a persistent cyclonic eddy, while in the eastern SBC, high retention times are due to weak oscillatory flow. Areas in the western SBC outside of the cyclonic eddy exhibit the shortest mean retention times (<2 days) due to sustained horizontal advection. Stepwise regression is used to assess the drivers of interannual retention anomalies at sub‐SBC scales and is able to predict the greatest (least) amount of retention variability in the western (eastern) SBC. The presence of coherent eddies, both cyclonic and anticyclonic, is a dominant driver of high retention channel‐wide, while some factors such as wind stress and along‐channel flow have counteracting effects on retention at sub‐channel scales.
DOI: 10.1029/2024jc021246
Authors: R. J. Brokaw, D. A. Siegel, L. Washburn
Institution: University of California, Santa Barbara
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,880
Awards: G1642001521, LTER: Environmental drivers and ecological consequences of kelp forest dynamics (SBV IV), Collaborative Research: Resolving Spatial and Temporal Variations in Near Shore Wind Stress via Advances in High Frequency Radar, Graduate Research Fellowship Program (GRFP), Collaborative Research: Resolving complex coastal flows via advances in high-frequency radar
OpenAlex ID: W4401553524
