Steric height and bottom pressure water equivalent derived from mooring data in the Beaufort Sea (update)

This dataset is an update of the dataset published originally in Doglioni et al (2022), with the addition of data from one mooring. The original dataset has been created as a comparative dataset for assessment of satellite-derived sea surface height anomaly performed by Doglioni et al. (2023). The d...

Full description

Bibliographic Details
Main Authors: Doglioni, Francesca, Kanzow, Torsten, Rabe, Benjamin, Ricker, Robert
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Beaufort Sea
BGA
BGB
BGD
Date/Time of event
Date/Time of event 2
Event label
Latitude of event
Longitude of event
Model output
NetCDF format
MOOR
Mooring
Ocean bottom pressure
Steric height
Arctic
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.963706
https://doi.org/10.1594/PANGAEA.963706
Description
Summary:This dataset is an update of the dataset published originally in Doglioni et al (2022), with the addition of data from one mooring. The original dataset has been created as a comparative dataset for assessment of satellite-derived sea surface height anomaly performed by Doglioni et al. (2023). The dataset is composed by three files, each including two time series computed from data at moorings deployed in the Beaufort Sea. Data were collected between 2011 and 2018, in the framework of the Beaufort Gyre Exploration Program (BGEP) based at the Woods Hole Oceanographic Institution, in collaboration with researchers from Fisheries and Oceans Canada at the Institute of Ocean Sciences (https://www2.whoi.edu/site/beaufortgyre/). The time series reproduce steric height and bottom pressure equivalent height, respectively computed from moored temperature and salinity data (from McLane Moored Profilers) and ocean bottom pressure records. Temperature and salinity were linearly interpolated between the shallowest measurement (50 m) and the deepest measurement (2000 m) onto a regular pressure grid with vertical spacing of 2 m. Constant extrapolation was performed above the shallowest sensor and no extrapolation was performed below the deepest sensor. Temperature and salinity vertical profiles were converted into density profiles using the Matlab sw_dens routine (Foffonoff et al.,1983). Bottom pressure records are detided using the Matlab routine t_tide (Pawlowicz et al., 2002) and instrumental drifts were removed. Steric height and bottom pressure equivalent height time series were averaged into monthly time steps.

Similar Items