http://bolin.su.se/data/geoffroy-2022-argoit-1 Gaspard Geoffroy Bolin Centre Database 2022 Datafile Marine Observations Argo In situ Observations Internal waves Internal tides Tides Earth science > Oceans > Tides Gaspard Geoffroy 2022-10-03T14:05:03+00:00 English 1 This dataset is composed of a unique netCDF file. It takes the form of a regular 2.5° × 2.5° gridded map where each pixel corresponds to a circular geographical patch of radius 200 km. For each pixel (corresponding to a `lat`, `lon` position), the variable `n_segs` stores the number of 32-day segments of Argo data used to compute the local mean autocovariances of the isotherms vertical displacement. The local mean autocovariance (a function of time lag `tau`) and associated standard error are stored in the variables `muacov_eta` and `semacov_eta`, respectively. The total semidiurnal internal tide variance is obtained by complex demodulation of the local mean autocovariance. It is stored along with its standard deviation in the variables `SD_demod_eta` and `SD_demod_eta_std`, respectively. This dataset was produced by using the [Scripts for mapping the total semidiurnal internal tide variance at 1,000 dbar using Argo data](https://doi.org/10.57669/geoffroy-2022-argoit-1.0.0) by Geoffroy (2022). It is based on in situ observations recorded during the park phase of Argo floats (Argo 2000). These data were collected and made freely available by the [International Argo Program](https://argo.ucsd.edu) and the [national programs](https://www.ocean-ops.org) that contribute to it. The Argo Program is part of the [Global Ocean Observing System](https://www.goosocean.org/). The processing of the Argo data to produce the global map of the total semidiurnal internal tide variance is described by [Geoffroy and Nycander (2022)](https://doi.org/10.1029/2021JC018283). Please cite the latter article when using this dataset and contact the corresponding author Gaspard Geoffroy for any scientific or data-related questions.