You said you wanted a note asking if you need the 6-hrly data for the u-cm923 (acclimationNew) and u-cm922 (No Acclimation) suites?
you might need to apply for GWS access to the porcelain_rdg GWS, if you don’t have it already.
Thanks. Can I have monthly output please, just checked and that is what I have for the offline. I just thought, are the files netcdf, I know the UM usually output’s .pp files, but I have no idea how to convert those, so is there any chance of getting them as netcdf format? I doubt I have access to the porcelain_rdg GWS (do you have the pathname and I will check), but if not I will apply.
Could I get the landcover ancillary too please?
I will look into getting the data off of tape for you and ChrisH.
Yes, it is 6-hourly pp files. I have scripts to convert it to seasonal or monthly pp files. These can be converted to NETCDF.
Thanks Patrick. I will need monthly, but I think Chris H will need seasonal also as I think that’s what most of the comparisons between offline and coupled were, although you might remember better than me?
Chris, I have just got access to the PORCELAIN_rdg group workspace on JASMIN (where Patrick will put the files). Do you have JASMIN access? If so its quick and easy to request access to the GWS, if not I can pull the files across when they’re available and put them somewhere on our system.
I think I just figured out the data.
The PP data for the seasons and the months is in the supermeans folders of the
u-cm922 subfolders of:
Hi again Becky & Chris
There is an example script that I wrote for reading the monthly pp files and merging them to monthly timeseries NC files for the three 32-year time periods indexed by the start years (1950, 1982, 2019) in
This calls the version of the Python code:
There is also a Python script in for making annual time-series curves plotted vs. month:
This can get you started.
Hi Becky & ChrisH:
Did you get things working ok?
Hi ChrisH and Becky:
can you read pp files?
Hi Patrick – many thanks for getting back. I would prefer not to use pp.
Now, this is easy to do and will not take much of your time – especially if the files exist. Indeed, I think most files do exist – so it is just a case answering the below.
What we need here in CEH is simply the monthly NetCDF files.
So in your directory:
I can see a file named:
When I do a “ncdump -h”, this is as expected, of size [32, x, x]. So 32 years.
Here are the questions:
 What is the correct version to use? Is it “_v1c”
 Do these files all exist for the two other periods (“1950-1981” and “1982-2013”)?
 Do these files exist for all months? (Looks like if one month exists, all exist – so that’s OK).
 Ideally variables are temperature, rainfall, upward latent heat flux, upward sensible heat flux
 Critically, do all files exist for “cm922” and “cm923”.
 Is “cm244” no acclimation and “cm245” with acclimation, but earlier periods?
So this makes:
3 x 12 x 4 x 2 files (i.e. period, month, variable, acclim/no acclim).
I’m a bit busy at the moment. But I can certainly work on it this week if the files exist and I can pull them over today or tomorrow.
The only variables that I have processed so far in the manner that you found them are:
If you don’t want to adapt/run the scripts again, and if you don’t want to use the pp files, then these are the only variables we have right now.
Yes, version 1c is the latest version.
cm922/cm923 are for the future period 2019-2050.
cm244/cm245 are for the past and current periods 1950-2013.
The brief descriptions of the different suites are found in these files:
In those files and the associated Rose/Cylc suites, you can see that
u-cm244 is without acclimation, for 1949-2014,
u-cm245 is with acclimation, for 1949-2014,
u-cm922 is without acclimation, for 2015 - 2050, SSP585
u-cm923 is with acclimation, for 2015 - 2050, SSP585
Perfect. I’ll now push on with things, and make sure we have a set of plots and a methodology available soon.
I will write again tomorrow if there are any issues with the fields (or missing files).
Hi Patrick – all good with the monthly files except for one that is missing.
Could you please run your script to create file:
There are quite a few seasonal means missing, but don’t worry about that – as long as I have a complete set of monthly .nc files, I can build seasonal values.
All the best,
I modified my mergeExtract2c4f_2019.scr script in /gws/nopw/j04/porcelain_rdg/pmcguire/acclimation/scatter,
and renamed the new version as mergeExtract2c4g_2019.scr . I then ran this script, recalculating:
These are all on disk now. I don’t know what happened the first time I calculated and made those files in July 2022.