...

Step 1:  Copy the Metview processing code to your $PERM location:

...

Now we process the OpenIFS model output into a dateset format that can be easily interpreted by Metview using a simplified plotting procedure.

Step 2:  Edit the file oifs_to_mv.sh and change the path variable:

• in_dir:  this needs to point to the folder where the postprocessed OpenIFS model experiment (from the previous section) is found. Absolute file paths are required for this to succeed. 

Afterwards, execute Step 3:  Execute the script by running the command:  ./oifs_to_mv.sh.  This data conversion may take a couple of minutes to complete.  Occasionally the message "ERROR:  input file does not exist!" may occur which can be safely ignored.  At the end of the processes "Done." should appear on the terminal.

As a result of this processing regular gridded and compressed grib files are generated which can be visualised with by running the enclosed Jupyter Notebook  single.ipynb

Carry out Step 4:  Now proceed with the following steps to visualise the processed data:

• On the ECMWF Virtual Desktop Interface (VDI) open a terminal, log into the hpc2020 with command:  ssh hpc-login
• In the terminal start the Jupyter server on an interactive node, using the command:  ecinteractive -k
• After the interactive node has started you will be given a weblink to connect to the Jupyterlab session ("To manually re-attach go to <weblink>").
• Open a web browser (e.g. Chrome) inside the VDI and paste the weblink into the address field; this will connect to the Jupyter server.
• Find $PERM/mv/ipynb/single.ipynb in the file explorer on the left side of the browser, open this Notebook and execute all its cells. 

Requirements

Further details on This section provides further details about software requirements for OpenIFS (this .

This is not required needed for the ECMWF hpc2020).