The I-EMIC is a parallel Earth system model that allows the use of large-scale dynamical systems techniques. The term 'implicit' refers to this model's main design feature: all model equations and constraints are solved simultaneously. A Jacobian matrix and preconditioning techniques are available for efficient Newton iterations that are involved in implicit time stepping and continuation strategies.

The I-EMIC contains a number of fully implicit submodels coupled through a modular framework. At the center of the coupled model is the implicit primitive equation ocean model THCM [1]. THCM is extended with models of modest complexity that describe varying aspects of the climate, including atmospheric heat and moisture transport, the formation of sea ice and the adjustment of albedo over snow and ice.

For a description of the model equations, see [2].

[1] Dijkstra, H. A., Oksuzoglu, H., Wubs, F. W., and Botta, E. F. F. (2001). A fully implicit model of the three-dimensional thermohaline ocean circulation. Journal of Computational Physics, 173(2):685–715.

[2] Mulder, T. E. Design and bifurcation analysis of implicit Earth System Models. Dissertation (June, 2019), Utrecht University, https://dspace.library.uu.nl/handle/1874/381139

Depending on architecture: ifort, gfortran, mpicc, mpicpc, mpic++, etc...

• Install cmake, lapack, blas, openmpi and hdf5-openmpi as described above.

• Install metis

• Install parmetis (requires openmpi)

• Install Trilinos with support for metis and parmetis:

  • Create build directory {trilinos_base_dir}/build

  • Create cmake script build/{something}.cmake, for examples see notes/trilinos_cmake_examples

    • Adjust METIS_LIBRARY_DIRS, TPL_METIS_INCLUDE_DIRS, ParMETIS_LIBRARY_DIRS and TPL_ParMETIS_INCLUDE_DIRS.

  • Make cmake script executable and run it, install Trilinos

    • Possible failures: no lapack, blas or hdf5 libs. hdf5-openmpi might install in /usr/include/hdf5/openmpi, so you could extend CPATH and LD_LIBRARY_PATH appropriately: e.g.: export CPATH=$CPATH:/usr/include/hdf5/openmpi export LIBRARY_PATH=$LIBRARY_PATH:/usr/lib/x86_64-linux-gnu/hdf5/openmpi

• Install JDQZPP

• Install I-EMIC

  • Create build directory
  • Create cmake script, see for examples notes/i-emic_cmake_examples
  • Run cmake script
  • make install -j<#procs>

• Make sure no PATHs are set in your .bashrc.

• Clone the EasyBuild repository located at https://github.com/nlesc-smcm/easybuild

• Install the Trilinos module. For Cartesius, a job script is provided.

• In your .bashrc, load the newly installed modules and set the appropriate PATHs and compilers, e.g.

module load 2019 CMake Trilinos/12.14.1-intel-2019a-Python-3.7.2

export PATH=${HOME}/local/bin:${PATH}
export LIBRARY_PATH=${HOME}/local/lib:${HOME}/local/lib64:${LIBRARY_PATH}
export LD_LIBRARY_PATH=${HOME}/local/lib64:${HOME}/local/lib:${LD_LIBRARY_PATH}:$EBROOTIMKL/mkl/lib/intel64

export CC=mpiicc
export CXX=mpiicpc
export FC=mpiifort

• Install JDQZPP

• Compile I-EMIC, e.g.

mkdir build
cd build
cmake ~/i-emic
make -j<#procs>

• run_ocean tutorial: Located in run/ocean, it describes a basic spinup continuation with run_ocean and gives an example of a continuation with diagnosed flux forcing.

• See the test code for examples ^^