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---- downloading matlab toolboxes ---- |
---- downloading matlab toolboxes ---- |
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0) login as guest |
1) create a directory called `iap-idma' with a subdirectory called `iap-idma/matlab' |
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1) open web browser and download setup_gcmfaces_and_mitprof.csh |
2) open a web browser and download the following two files: |
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from http://mitgcm.org/viewvc/MITgcm/MITgcm_contrib/gael/ |
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notes : |
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to download this script: click on the file name, then |
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on the download button near the top of the page |
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if you are using a windows computer then the shell |
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script method wont do it -- see 'alternative download method' |
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2) open terminal window and download tooloxes via shell script: |
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csh |
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mkdir iap-idma |
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mv Downloads/setup_gcmfaces_and_mitprof.csh iap-idma/ |
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cd iap-idma |
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source ./setup_gcmfaces_and_mitprof.csh |
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notes : |
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disk space requirement ~ 800M (plus session specific items) |
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2011 or later matlab version is needed (for native netcdf implementation) |
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2') alternative download method: |
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- open a web browser and go to |
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http://mit.ecco-group.org/opendap/ecco_for_las/version_4/checkpoints/c65r_gcmfaces.tar.gz |
http://mit.ecco-group.org/opendap/ecco_for_las/version_4/checkpoints/c65r_gcmfaces.tar.gz |
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http://mit.ecco-group.org/opendap/ecco_for_las/version_4/checkpoints/c65r_MITprof.tar.gz |
http://mit.ecco-group.org/opendap/ecco_for_las/version_4/checkpoints/c65r_MITprof.tar.gz |
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- move the two downloaded files to your iap-idma directory |
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- click on each of the two files to unpack c65r_gcmfaces and c65r_MITprof |
3) move these two files to the idma directory and uncompress them. |
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- rename c65r_gcmfaces as gcmfaces and c65r_MITprof as MITprof |
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3) the iap-idma directory should now contain two subdirectories |
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named `c65r_gcmfaces' and `c65r_MITprof'. Rename them simply |
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as `gcmfaces' and `MITprof' |
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notes : |
notes : |
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for session 1 you only need MITprof but gcmfaces will come |
- disk space requirement ~ 800M (plus session specific items that will be added later) |
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handy later so your might as well download both right away |
- 2011 or later matlab version is needed (for native netcdf implementation) |
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the shell script method uses CVS (see http://mitgcm.org/public/using_cvs.html) |
- for session 1 you only need MITprof but gcmfaces will come |
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and should be preferred if possible (e.g. under linux or IOS on a MAC) |
handy later so your might as well download both right away |
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since CVS allows for updates later on. |
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---- for session #1 ---- |
---- for session #1 ---- |
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1,2) same as above (see 'downloading matlab toolboxes') |
1) see 'downloading matlab toolboxes' |
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3) download idma_float_plot.m from http://mitgcm.org/viewvc/MITgcm/MITgcm_contrib/gael/comm/course-idma2016/matlab/ |
2) download idma_float_plot.m, idma_box_subset.m, and idma_box_mean.m from |
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http://mitgcm.org/viewvc/MITgcm/MITgcm_contrib/gael/comm/course-idma2016/matlab/ |
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4) in terminal window |
3) move these files to the iap-idma/matlab directory |
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mv ~/Downloads/idma_float_plot.m ~/iap-idma/. |
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5) download Argo etc |
4) using you favorite ftp client (e.g. fetch in iOS, secureFX in MS-windows, |
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cd ~/iap-idma |
or wget in LINUX) to download the following directory: |
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mkdir release1 |
ftp://mit.ecco-group.org/ecco_for_las/version_4/release1/MITprof_release1 |
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wget --recursive ftp://mit.ecco-group.org/ecco_for_las/version_4/release1/MITprof_release1 |
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mv mit.ecco-group.org/ecco_for_las/version_4/release1/MITprof_release1 release1/. |
5) move MITprof_release1 to the iap-idma directory |
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6) start matlab and run idma_float_plot.m |
6) start matlab, go to the iap-idma directory, and type: |
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matlab |
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addpath matlab/ |
addpath matlab/ |
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[p]=idma_float_plot('2900828'); |
[p]=idma_float_plot('4900828'); |
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idma_box_subset; |
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idma_box_mean; |
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notes : |
notes : |
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disk space requirement ~ 6.4G (plus 0.8G from steps 1,2) |
- disk space requirement ~ 6.4G (plus 0.8G from steps 1,2) |
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start matlab at command line : matlab -nodesktop |
- idma_float_plot.m and idma_box_subset.m both add the |
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idma_float_plot adds the MITprof/ subdirectories to the matlab path |
iap-idma/MITprof/ and its subdirectories to the matlab path |
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- idma_box_subset is the most time consuming, and may take ~3' |
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