History and Setup for Diagnostics

Overview

Teaching: 0 min
Exercises: 0 min
Questions
  • What is in our history files?

  • How do I setup to run the postprocessing and diagnostics packages

Objectives

We will now return to the output from our 4-year case. Let’s go to the atmospheric history directory for our case. If your 4-year case did not run to completion, you are welcome to look at mine.

cd /glade/scratch/cstan/archive/run.2/atm/hist

History vs. Timeseries Files

History files
contain all of the variables for a componenet for a particular frequency and are output directly by the model.
Timeseries files
usually span a number of timesteps and contain only one major variable. They are created offline.

When NCAR provides output from their model simulations publicly, they typically provide timeseries files for a select set of variables.

Examples:

A history file: f40_test.cam.h0.1993-11.nc

A timeseries file: f40_test.cam.h0.PSL.199001-199912.nc

CESM Time Variable

The time coordinate variable in CESM history and timeseries files represents the end of the averaging period for variables that are averages. The time that gets resolved when the data are read in does not match the date in the filename. For monthly averaged data, the filename is correct. This can be a source of much confusion.

Example: run.2.cam.h0.0001-05.nc

Postprocessing

The process of going from history files to timeseries files and to convert 3D atmospheric data from the model coordinate system to selected pressure levels. We will learn how to use the CESM Postprocessing Tools which are primarily written in NCAR Command Language (NCL). NCL is in the process of being converted to Python, but for now, we can use the preprepared NCL scripts without having to know too much NCL.

Diagnostics Packages

There is a large suite of postprocessing and diagnostic packages developed by NCAR using a combination of NCL and Python scripts that automatically generate a variety of different kinds of plots from model output files and used to evaluate a simulation. They all compute a series of pre-defined metrics and display the plots via a website.

There are five main diagnostics packages:

  1. Atmosphere
  2. Ice
  3. Land
  4. Ocean
  5. Climate Variability and Diagnostics Package (CVDP)

Postprocessing and Diagnostics Packages Setup

We will setup everything necessary for you to be able to run the postprocessing and diagnostics packages on the NCAR computers.

Setup your .profile or .tcshrc

If you have never setup a .profile or .tcshrc on cheyenne:

cp /glade/u/home/cstan/.profile ~/.profile

If you already have a .profile (bash users) or a .tcshrc (tcsh users), look at the corresponding file and add the necessary items from the .profile file to your file. The .prfile file is located in: ~cstan/

Copy the post-processing scripts to the correct location:

Go to your home directory:

cd

Create a scripts directory and go to it:

mkdir scripts
cd scripts

Copy all files needed:

cp -R /glade/u/home/asphilli/CESM_tutorial/* .

You may get an error about being able to copy a particular file. You can ignore the error.

Put the configuration file into the correct location:

mv hluresfile ../.hluresfile

Setup the python environment for the CESM diagnostics and post-processing scripts

cesm_pp_activate 

Create a directory for the CESM postprocessing code:

mkdir /glade/scratch/cstan/cesm-postprocess

Run the postprocessing using create_postprocess and tell it the name of your 4-year case

create_postprocess --caseroot /glade/scratch/cstan/cesm-postprocess/run.2

Go to the postprocessing directory:

cd /glade/scratch/cstan/cesm-postprocess/run.2

Set the location of the model data:

./pp_config --set DOUT_S_ROOT=/glade/scratch/cstan/archive/run.2

Tell the diagnostics what kinds of grids to expect, our version uses:

./pp_config --set ATM_GRID=1.9x2.5
./pp_config --set LND_GRID=1.9x2.5
./pp_config --set ICE_GRID=gx1v7
./pp_config --set OCN_GRID=gx1v7
./pp_config --set ICE_NX=320
./pp_config --set ICE_NY=384

Key Points