To compute Mixed Layer Depth based on Subjective method

This function will help to determine mixed layer depth
678 téléchargements
Mise à jour 5 oct. 2015

Afficher la licence

% USAGE: MLD=ra_mld(salt,temp,Z,dT)
%
% PREREQUISITE: you must have installed SW Package or you must have
% following function from Sea Water package
% sw_den.m ; sw_dens.m; sw_dens0.m; sw_seck.m; sw_smow.m
%
% DESCRIPTION: This function determines Mixed Layer Depth (MLD) from profile data
% sets based on subjective method. If you have 3D data sets i.e. level, lat and lon and want
% to compute the MLD, then this function will be very handy. Because this function is
% specifically designed for those cases. However, it can evaluate MLD from profile data too.
%
% INPUTS:
% salt = Salinity profiles over the study region [psu], either 3D or vector
% temp = Temperature profiles over the study region [deg. C], either 3D or vector
% Z = Levels [m], Must be vector
% dT = temperature difference criterion [deg. C], Must be scalar
%
% OUTPUT:
% mld = mixed layer depth, spatial output [m]
%
% DISCLAIMER:
% Albeit this function is designed only for academic purpose, it can be implemented in
% research. Nonetheless, author does not guarantee the accuracy.

Citation pour cette source

Ramkrushn Patel (2024). To compute Mixed Layer Depth based on Subjective method (https://www.mathworks.com/matlabcentral/fileexchange/53370-to-compute-mixed-layer-depth-based-on-subjective-method), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2013b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Oceanography and Hydrology dans Help Center et MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Publié le Notes de version
1.0.0.0