Publication Date:
2022-05-26
Description:
This data was collected by Kirincich and Lentz as part of the Inner Shelf Lateral Exchange Study focused on examining the spatial variability of the mechanisms and process that lead to the exchange of water masses across the inner part of the continental shelf. The ISLE study area spanned a 15 km by 25 km domain south of the Island of Martha’s Vineyard Massachusetts. See published works by Kirincich (2016, JOAT) or Kirincich and Lentz (2017, JGR) for details on the study area. The two zip files contain three types of files: HF radar surface currents, station/mooring velocity data, and station/mooring hydrography data. See the text files for additional information. Converted to netCDF via MATLAB by A. Kirincich.
Description:
HF radar surface currents data was collected by Kirincich as part of ongoing studies examining the spatial variability of the mechanisms and process that lead to the exchange of water masses across the inner part of the continental shelf. The data consists of estimates of the near-surface horizontal (East and North) ocean currents made via High Frequency (HF) radar-based remote sensing of the ocean backscatter spectrum. The dataset spans an 18-month period from February 2011 to August 2012. The effective measurement depth of the WHOI HF radars is 0.5 m below the ocean surface.
Description:
Station/mooring velocity and hydrography data was collected by Kirincich and Lentz as part of the Inner Shelf Lateral Exchange Study focused on examining the spatial variability of the mechanisms and process that lead to the exchange of water masses across the inner part of the continental shelf. The data consists of estimates of Water Temperature and Salinity using SBE 37 Microcats, and horizontal (East and North) ocean currents made via ADCPs with transmit frequencies of 600 or 120 kHz. The dataset spans the 6—8 month period of June 9th 2014 to January 15, 2017.
Description:
The observations used in this study were supported by NSF OCE Grant #1332626 and internal funding from the Woods Hole Oceanographic Institution.
Repository Name:
Woods Hole Open Access Server
Type:
Dataset
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