Isca is a framework for the idealized modelling of the global circulation of planetary atmospheres at varying levels of complexity and realism. The framework is an outgrowth of models from GFDL designed for Earth's atmosphere, but it may readily be extended into other planetary regimes. Various forcing and radiation options are available. At the simple end of the spectrum a Held-Suarez case is available. An idealized grey radiation scheme, a grey scheme with moisture feedback, a two-band scheme and a multi-band scheme are also available, all with simple moist effects and astronomically-based solar forcing. At the complex end of the spectrum the framework provides a direct connection to comprehensive atmospheric general circulation models.
For Earth modelling, options include an aqua-planet and configurable (idealized or realistic) continents with idealized or realistic topography. Continents may be defined by changing albedo, heat capacity and evaporative parameters, and/or by using a simple bucket hydrology model. Oceanic Q-fluxes may be added to reproduce specified sea-surface temperatures, with any continents or on an aquaplanet. Planetary atmospheres may be configured by changing planetary size, solar forcing, atmospheric mass, radiative, and other parameters.
The underlying model is written in Fortran and may largely be configured with Python scripts, with internal coding changes required for non-standard cases. Python scripts are also used to run the model on different architectures, to archive the output, and for diagnostics, graphics, and post-processing. All of these features are publicly available on a Git-based repository.
A python module isca (note lowercase) is provided alongside the Fortran source code that should help to do a lot of the heavy-lifting of compiling, configuring and running the model for you. Isca can be compiled, run and configured without using python, but using the python wrapper is recommended.
The python module is found in the src directory and can be installed using pip. It's recommended that you use some sort of python environment manager to do this, such as using a conda distribution and creating an environment (in the code below called "isca_env"), or using virtualenv instead. This "getting started" will show you how to create a python environment that includes Isca's required packages, and then install the model.
- Install Miniforge
Recommended step: Some workstations may have outdated default python and conda installations, which may cause conflicts during installation. As a lightweight solution to get up-to-date installations, we recommend downloading Miniforge.
To ensure this works as expected, check that $PYTHONPATH is unset and that your .bashrc does not contain module load statements that may cause conda conflicts.
If you have a recent conda version installed in your home directory already you may wish to skip this step.
- Check out or download this repository
To begin you'll need a copy of the source code. Either fork the Isca repository to your own github username, or clone directly from the ExeClim group.
$ git clone https://github.com/ExeClim/Isca
$ cd Isca
- Create a conda environment
Requirements for Isca can be installed via the .yml file included with the model in Isca/ci/environment-py3.9.yml
Navigate to the downloaded Isca folder, and create a conda environment isca_env containing the required packages using:
$ conda env create -f ci/environment-py3.9.yml
Then activate the environment; you'll need to do this each time you launch a new bash session.
$ conda activate isca_env
- Install the model
Now install the isca python module in "development mode". This will allow you, if you wish, to edit the src/extra/python/isca files and have those changes be used when you next run an Isca script. Navigate to Isca/src/extra/python/ and run:
(isca_env)$ pip install -e .
...
Successfully installed Isca
At Exeter University, Isca is compiled using:
- Intel Compiler Suite 14.0
- OpenMPI 10.0.1
- NetCDF 4.3.3.1
- git 2.1.2
Different workstations/servers at different institutions will have different compilers and libraries available. The Isca framework assumes you have something similar to our stack at Exeter, but provides a hook for you to configure the environment in which the model is run.
Before Isca is compiled/run, an environment is first configured which loads the specific compilers and libraries necessary to build the code. This done by setting the environment variable GFDL_ENV in your session.
For example, on the EMPS workstations at Exeter, I have the following in my ~/.bashrc:
# directory of the Isca source code
export GFDL_BASE=/scratch/jamesp/Isca
# "environment" configuration for emps-gv4
export GFDL_ENV=emps-gv
# temporary working directory used in running the model
export GFDL_WORK=/scratch/jamesp/gfdl_work
# directory for storing model output
export GFDL_DATA=/scratch/jamesp/gfdl_data
The value of GFDL_ENV corresponds to a file in src/extra/env that is sourced before each run or compilation. For an example that you could adapt to work on your machine, see src/extra/env/emps-gv.
We are not able to provide support in configuring your environment at other institutions other than Exeter University - we suggest that you contact your friendly local sysops technician for guidance in getting the compilers and libraries collated if you are not sure how to proceed.
If you work at another large institution and have successfully compiled and run Isca, we welcome you to commit your own environment config to /src/extra/env/my-new-env for future scientists to benefit from and avoid the pain of debugging compilation!
Once you have installed the isca python module you will most likely want to try a compilation and run a simple test case. There are several test cases highlighting features of Isca in the exp/test_cases directory.
A good place to start is the famous Held-Suarez dynamical core test case. Take a look at the python file for an idea of how an Isca experiment is constructed and then try to run it.
(isca_env)$ cd $GFDL_BASE/exp/test_cases/held_suarez
(isca_env)$ python held_suarez_test_case.py
The held_suarez_test_case.py experiment script will attempt to compile the source code for the dry dynamical core and then run for several iterations.
It is likely that the first time you run the script, compilation will fail. Debug, adjust your environment file as necessary, and then rerun the python script to try again.
Once the code has sucessfully compiled, the script will continue on to run the model distributed over some number of cores. Once it completes, netCDF diagnostic files will be saved to $GFDL_DATA/held_suarez_test_case/run####.
Once you've got an environment file that works for your machine saved in src/extra/env, all of the test cases should now compile and run - you're now ready to start running your own experiments!
There are some site-specific guides to running Isca on your local system located in the directory exp/site_specific/.
If you have made changes that you think will be useful to others, please feel free to suggest these as a Github pull request. These might include adding site specific configurations that could be useful to future users, basic bug fixes, or addition of new options or modules for modeling your planet of choice. An Isca team member will then review your Pull Request and suggest any changes needed before merging it in. Things to consider:
- Before submitting a pull request, double check that the branch to be merged contains only changes you wish to add to the master branch. This will save time in reviewing the code.
- If you add a new feature to the Fortran code, please make it off by default so that other users' results won't change if they update from the master.
- For any changes to model Fortran files, please run the trip-tests found in /Isca/exp/test_cases/trip_test/. These compile and perform brief runs of some standard configurations to help identify any accidental changes to the model your commits may have caused. Isca includes a broad range of options, so try to take into consideration whether the changes you make will affect other configurations while you implement them.
- For substantial additions of code, for example an entirely new module, please also include a test case in /Isca/exp/test_cases/. This helps in testing that the option works as expected, and provides support for future users in using the new configuration.
- Please do not make changes to existing test cases, these are here for trip-testing as well as user guidance.
- As well as our model work on Isca, we are all Isca users ourselves, so responding to Pull Requests may take time, but we will aim to respond to urgent queries as soon as we can.
For more information, please read the contributing guide.
Isca is distributed under a GNU GPLv3 license. See the LICENSE file for details.
RRTM/RRTMG: Copyright © 2002-2010, Atmospheric and Environmental Research, Inc. (AER, Inc.). This software may be used, copied, or redistributed as long as it is not sold and this copyright notice is reproduced on each copy made. This model is provided as is without any express or implied warranties.
Some of the code provided in the src/atmos_params/socrates/interface folder were provided by the UK Met Office,
and are therefore covered by British Crown Copyright. The copyright statement at the top of the
relevant code is provided below. For the copyright.txt refered to in this statement, please see the
Socrates source code itself, which is downloadable from the Met Office, and is not packaged with Isca.
! *****************************COPYRIGHT*******************************
! (C) Crown copyright Met Office. All rights reserved.
! For further details please refer to the file COPYRIGHT.txt
! which you should have received as part of this distribution.
! *****************************COPYRIGHT*******************************
The check_disk_space.py script, which is used as part of the email-alerts functionality
of the gfdl module, was written by Giampaolo Rodola and is released under the MIT license.
The parts of Isca provided by GFDL are also released under a GNU GPL license. A copy of the relevant GFDL license statement is provided below.
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