8000 GitHub - ewhelan/EMS: Environment for MUSC Simulations
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

ewhelan/EMS

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

EMS - Environment for MUSC Simulations

Prerequisites

  • Python 3.*
  • Python packages numpy, scipy, netCDF4 and matplotlib
  • GMAP tools in /home/common/sync

Quick installation

To install EMS on a CNRM computer, with access to the CNRM Lustre system:

< 659D ol dir="auto">
  • Get the installation script:

    wget https://raw.githubusercontent.com/romainroehrig/EMS/master/install.sh

  • Modify install.sh (or execute install.sh -h to get its usage):

    • Set EMS_VERSION, e.g., EMS_VERSION=2.4.7
    • Set where you want to install EMS: default is REP_EMS=$HOME/Tools/EMS/V${EMS_VERSION}
    • Set where you want to run MUSC: default is REP_MUSC=$HOME/MUSC/V${EMS_VERSION}
  • Execute install.sh. A test is done at the end with ARPEGE-Climat 6.3.2 for the ARMCU/REF case.

  • Using EMS

    1. Go in the REP_MUSC directory

    2. Source setenv to have the right PATH and PYTHONPATH environment variables

      source setenv

    3. You can manage your own namelists (namelist directory), vertical grid (grid directory) and MUSC configuration files (config directory), and postprocessing (post directory).

    4. Run MUSC:

      MUSC.py -config config/YOUR_CONFIG_FILE -case CASE -subcase SUBCASE

    Other available tools

    • ems_list_cases.py: Provide information about cases/subcases available in EMS
    • ems_prep_init_forc_atm.py: prepare the nam1D namelist for ARPIFS restart
    • ems_prep_nam_atm.py: Modify an ARPIFS namelist to simulate a case described by a netcdf file using the DEPHY common format
    • ems_prep_nam_sfx.py: Modify a SURFEX namelist to simulate a case described by a netcdf file using the DEPHY common format
    • ems_convert2p.py
    • ems_convert2z.py
    • ems_convertLFA2nc.py
    • ems_lfa2nc.py

    About

    Environment for MUSC Simulations

    Resources

    Stars

    Watchers

    Forks

    Packages

    No packages published

    Languages

    • Python 65.8%
    • Fortran 30.1%
    • Shell 3.3%
    • Other 0.8%
    0