OWC Matlab工具箱（高分项目）.zip

# The Matlab OWC toolbox This is a package of MATLAB routines for calibrating profiling float conductivity sensor drift. A description of the algorithms can be found in "An improved calibration method for the drift of the conductivity sensor on autonomous CTD profiling floats by θ-S climatology", by W.B. Owens and A.P.S. Wong, in Deep-Sea Research Part I: Oceanographic Research Papers, 56(3), 450-457, 2009. Lately, modifications suggested in “Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic” , by C. Cabanes, V. Thierry and C. Lagadec, in Deep-Sea Research Part I, 114, 128-136, 2016 have been taken into account. # How to install the toolbox ? Either clone the latest version of the git repository: git clone https://github.com/ArgoDMQC/matlabow.git or download and unzip the zip file (Clone or download button) You can also access the different releases here: https://github.com/ArgoDMQC/matlabow/releases # How to run the analysis? Here is a summary of what should be done to run the analysis, please read the ./doc/README.doc file for more details 1. All files are to be used in MATLAB. The full package was tested with MATLAB R2014a. In addition, you will need: a). The MATLAB Optimization Toolbox; b). The ITS-90 version of the CSIRO SEAWATER library. The version 3\_3.0 of this library can be found in ./lib/seawater\_330\_its90. Please update if necessary. c). The M_MAP toolbox. The version 1.4.c of this library can be found in ./lib/m\_map1.4. Please update if necessary. 2. Add the necessary path to your matlab path: addpath('./lib/seawater\_330\_its90';'./lib/m\_map1.4';'./matlab\_codes/') 3. Put your reference data in ./data/climatology/historical\_ctd, /historical\_bot, /argo\_profiles. REFERENCE DATA can be obtain at ftp.ifremer.fr cd /coriolis/data/DMQC-ARGO/ (if you need a login/pswd ask codac@ifremer.fr) Then, create/update your ./data/constants/wmo\_boxes.mat file (more details in ./doc/README.doc, p3) 4. After you have decided where you want to install the package on your computer, edit ow\_config.txt at the following lines so the correct pathways are specified: * HISTORICAL\_DIRECTORY = * FLOAT\_SOURCE\_DIRECTORY = * FLOAT\_MAPPED\_DIRECTORY = * FLOAT\_CALIB\_DIRECTORY = * FLOAT\_PLOTS\_DIRECTORY = * CONFIG\_DIRECTORY = 5. The last section of ow\_config.txt below the heading "Objective Mapping Parameters" is where you set the various parameters (more details in .doc.README.doc, p4-6) 6. If this is the first time you are using this system, then the 4 directories /data/float\_source, /float\_mapped, /float\_calib, and /float\_plots should be empty. Decide how you want to organise your floats, e.g. under different project names or different investigator names. Then make identical subdirectories under each of these 4 directories. For example: /data/float\_source/project\_xx /data/float\_mapped/project\_xx /data/float\_calib/project\_xx /data/float\_plots/project\_xx 7. Create the float source file (./data/float\_source/project\_xx/$flt\_name$.mat) from the original netcdf files (more details in ./doc/README.doc,p6) 8. Open MATLAB in the top directory. List all the float files in a cell array "float\_names", with the corresponding subdirectories in another cell array "float_dirs". For example, float_dirs = { 'project\_xx/'; 'project\_xx/'; 'jones/'; 'jones/' }; float_names = { 'float0001'; 'float0002'; 'myfloat\_a'; 'myfloat\_b' }. Tips: If the files are not saved under a subdirectory and are only saved under ./float\_source/, specify float\_dirs = { ''; ''; ''; '' }, etc. Run ow\_calibration.m.