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@@ -69,10 +69,13 @@ and the [CMIP6 Data Request](http://clipc-services.ceda.ac.uk/dreq/index.html).
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- A full list of [all ESGF nodes](https://esgf.llnl.gov/nodes.html).
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- A good [tutorial](https://esgf.github.io/esgf-user-support/user_guide.html#data-search-and-download)
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on how to search and download CMIP data from ESGF nodes.
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### CEDA-Jasmin
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Please skip this section if you are not going to use JASMIN
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and go [here](#Github-account-(Advanced)).
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and go [here](#github-account-advanced).
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If you do not already have an account on JASMIN, then request an account as soon
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as possible. Please follow [these instructions on how to create a Jasmin
@@ -156,12 +159,12 @@ access the BADC archives via JASMIN. Some CMIP5 data sets such as MIROC are not
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accessible by default and special permission has to be requested to access them
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via [the CEDA catalogue page](https://catalogue.ceda.ac.uk/).
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Congratulations! Please go here [here](#gitHub-account-(advanced)) next.
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Congratulations! Please go here [here](#gitHub-account-advanced) next.
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### DKRZ
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Please skip this section if you are not going to use DKRZ and go [here](#github-account-(advanced)).
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Please skip this section if you are not going to use DKRZ and go [here](#github-account-advanced).
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If you do not already have an account at the DKRZ, then
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[register](https://luv.dkrz.de/projects/newuser/) as soon as possible. You could
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Running batch jobs: Info and examples on SLURM job scheduling system at DKRZ can
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be found [here](https://www.dkrz.de/up/systems/mistral/running-job).
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Congratulations! Please go here [here](#GitHub-account-(Advanced)) next.
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Congratulations! Please go here [here](#github-account-advanced) next.
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### Using your own machine
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Please skip this section if you are not going to use ESMValTool on your
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local machine and go [here](#gitHub-account-(advanced)).
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local machine and go [here](#github-account-advanced).
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If you are planning on running ESMValTool on your own machine, please make sure
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that you are able to download CMIP data and that you have several GB of space
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available to install conda and ESMValTool, but also enough to make a copy of some
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data (~2Gb).
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We can download a single data file following the instructions as described below:
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1. Go to the [CMIP5 search page on the DKRZ ESGF node][cmip5-search]
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2. Perform the following search constraints
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- Model = HadGEM2-ES
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- Experiment = historical
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- Time frequency = mon
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- Ensemble = r1i1p1
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- Variable = thetaoga
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3. Press search button
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4. On single search result press `List files`
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5. At bottom of page click on `Show All Files`
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6. Find the file which starts with `thetaoga` in the list
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7. Use `HTTP Download` link to download
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the [thetaoga_Omon_HadGEM2-ES_historical_r1i1p1_185912-200512.nc][theatoga.nc] file
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to `~/default_inputpath/` directory.
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However, the tutorial needs more data files. The [dataset.urls][ds] file contains all data set URLs and in comments the used search constraints. All of the data files should be downloaded
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to `~/default_inputpath/` directory.
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To download the data, run the following command using [wget](https://en.wikipedia.org/wiki/Wget):
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To download the data required by this tutorial, run the following command using
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