Introduction

Grid-point Model dynamical CORE (GMCORE) is currently on the latitude-longitude grid, but we also plan to incorporate quasi-uniform grid as backup. The numerics are working on C-grid, with general terrain following vertical coordinate.

Status

• Parallelization using MPI:
  • 1D latitudional decomposition (done)
  • 2D decomposition (partially done)
  • Optimize for X86 (~2024.04)
• Nesting at middle and low latitudes (~2021.11).
• Acceleration using GPU (~?).
• Baroclinic version (~2021.02).
  • Hydrostatic baroclinic version (done)
    • Rossby-Haurwitz wave test
    • Mountain induced wave test
    • Steady state test
    • Baroclinic wave test
    • Held-Suarez test
  • Nonhydrostatic baroclinic version (~2021.02)
    • X-Z version (done)
    • Quasi-2D mountain wave on reduced sphere (done)
    • Circular mountain wave on reduced sphere (done)
    • Internal gravity wave (done)
• Advection module (done)
• Incorporation with physics parameterisation (2024.01-2024.10).
• Data assimilation (~?).

Usage

First make sure you have installed netCDF library, and set NETCDF_ROOT environment variable to it. Then clone the repository:

$ git clone https://gitee.com/dongli85/GMCORE gmcore
$ cd gmcore
$ ./pull_libs.py

You could build the model by following:

$ cd build
$ FC=mpiifort cmake ..
$ make -j8

There is a Python script run_tests.py, which will clone the testbed repository, and run several tests, but it assumes MPI to be installed or SLURM job manager is available:

$ ./run_tests.py -w <work_directory> --slurm -q <job_queue> -n <process_number> --ntasks-per-node <n>

It will take some time to run the tests. When the tests are finished, cd to <work_directory>, and use some visualization tools, such as Panoply, to view the results.

Authors

• Li Dong dongli@lasg.iap.ac.cn
• Jianghao Li

You are welcome to join our team to develop a robust global model!