mldmtd 1.1.2

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MLD&MTD

This is a methodology to locate the minimum and maximum depth of the thermocline, its thickness, and its strength by fitting the sigmoid function to the temperature profiles in the global ocean. This methodology can be applied to both global and local studies in those areas of the ocean where the water column can be divided into three layers according to its thermal structure.

Installation

To use this methodology, download the mldmtd.py file or simply install it with:

pip install mldmtd

Demo

To locate the minimum and maximum depth of the thermocline of an Argo float profile:

from mldmtd import getProfileDataFromArgoNc, thermocline

df = getProfileDataFromArgoNc('.../aoml/4900432/profiles/D4900432_106.nc')
pres_mtd, temp_mtd, pres_mld, temp_mld, r2, N2T, pres_pred, temp_pred = thermocline(df)

How to cite

[!IMPORTANT] If you use this method, please include a reference to the following:

Romero, E., Tenorio-Fernandez, L., Portela, E., Montes-Aréchiga, J., and Sánchez-Velasco, L.: Improving the thermocline calculation over the global ocean, Ocean Sci., 19, 887–901, https://doi.org/10.5194/os-19-887-2023, 2023.

License

This work is licensed under a Creative Commons Attribution 4.0 International License.