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Evaluation of submesoscale variability by glider missions and high-resolution numerical experiments in the Gulf of Finland, Baltic Sea
This study delves into the role of submesoscale processes within a stratified coastal environment, using three months of high-resolution glider data and a realistic simulation with the SMS permitting grid spacing of 0.125 nautical miles. Here are presented three glider data sets used in this study. Missions were carried out in May–June 2018 and 2019, and July–August 2019, during which an autonomous underwater vehicle, the Slocum G2 Glider MIA, collected oceanographic data along predefined transects. In May–June 2018, an 18 km long transect was sampled 26 times, and in 2019, 4.5 and 5.5 km long transects were sampled over 90 times. Altogether over 12,000 profiles were gathered. The raw data was quality controlled, and the coefficients to account for the response time of the sensors and the thermal lag were defined to minimize differences between two consecutive CTD profiles. The half YOs were bin-averaged to a uniform 0.5 dbar vertical grid and arranged as profiles.
glider, stratification, Baltic Sea, sea water temperature, sea water conductivity, sea water pressure, sea water practical salinity, sea water absolute salinity, sea water conservative temperature, sea water sigma theta
59.79N, 59.58S, 25.21E, 25W
The pumped Seabird CTD model G-1451 (serial no. 9116) is mounted on the glider and samples at the rate of 0.5 Hz. The accuracy for pressure is 0.1% of the full range (0–200 m), for temperature 0.002 °C, and for conductivity 0.01 mS cm-1. The sensor was calibrated 2013-09-03.
The data set for the mission carried out in May–June 2018
|125 Mo||NetCDF||Processed data|
The data set for the mission carried out in May–June 2019
|101 Mo||NetCDF||Processed data|
The data set for the mission carried out in July–August 2019
|118 Mo||NetCDF||Processed data|