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:
  • [X] 1D latitudional decomposition (done)
  • [X] 2D decomposition (partially done)
  • [ ] Optimize for X86 (~2024.04)
• [ ] Nesting at middle and low latitudes (~2021.11).
• [ ] Acceleration using GPU (~?).
• [X] Baroclinic version (~2021.02).
  • [X] Hydrostatic baroclinic version (done)
  • [X] Rossby-Haurwitz wave test
  • [X] Mountain induced wave test
  • [X] Steady state test
  • [X] Baroclinic wave test
  • [X] Held-Suarez test
  • [X] Nonhydrostatic baroclinic version (~2021.02)
  • [X] X-Z version (done)
  • [X] Quasi-2D mountain wave on reduced sphere (done)
  • [X] Circular mountain wave on reduced sphere (done)
  • [X] Internal gravity wave (done)
• [X] 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!