Atmospheric forecasting model: unstructured centroid Voronoi grid MPAS cross-scale, variable resolution model application

View the original text>>> The latest MPAS cross-scale, variable resolution model practical technology application and typical case analysis

Table of contents

Topic 1. Basic information of MPAS mode

Topic 2. MPAS code acquisition and structure

Topic 3: MPAS transplantation, compilation and operation practice

Topic 4. Operation of MPAS Global Uniform Grid

Topic 5. Operation of MPAS global non-uniform grid

Topic 6. Operation of MPAS Regional Grid

Topic 7. Configuration during MPAS operation

Topic 8. MPAS result processing, analysis and visualization

Topic 9. MPAS Code Modification, Development and Improvement


The Model for Prediction Across Scales (MPAS) was developed by the Los Alamos Laboratory and the National Atmospheric Research

Developed jointly by the Center (NCAR), it consists of 3 parts called MPAS-A (atmospheric model), MPAS-O (ocean model) and MPAS-LI (land ice model). The initial purpose of MPAS was to build a new Earth system model that can be used for global or regional weather and climate research. This paper focuses on the atmospheric model MPAS-A. The atmospheric dynamic kernel of the MPAS-A model solves the fully compressible non-static equations of motion, and its most notable feature is the unstructured centroid Voronoi grid. The SCVT grid provides an opportunity for regional downscaling within a global framework (below), as it allows a smooth transition of the grid from coarser to higher resolutions, rather than the traditional method of translating grids using nesting Regional climate models RCM (eg WRF). The MPAS-A model is being continuously optimized. Due to its advanced model structure and variable resolution grid characteristics, it will be one of the main trends in high-resolution simulation in the future.

【Target】:

1. Master the principles of MPAS-A and the basic concepts of land surface models;

2. Proficiency in the transplantation, compilation and operation of MPAS-A;

3. Master the characteristics, format and preparation of input data files required for MPAS-A operation;

4. Master the method and data preparation of MPAS-A global operation and regional operation;

5. Improve operation and application capabilities through the combination of typical case analysis and actual combat simulation operations;

6. Use the on-site Q&A method to answer the relevant technical problems encountered by the students in the actual work

【Brief description】:

Topic 1. Basic information of MPAS mode

First understanding of the MPAS model and its significance

Topic 2. MPAS code acquisition and structure

Structure of MPAS, Structure of MPAS Code

n Several major functional modules of MPAS
n Acquisition and structure of MPAS code

Topic 3: MPAS transplantation, compilation and operation practice

Preparation of MPAS operating environment, compilation, installation and operation
n Linux system and program preparation
n Compiler and library file (hdf5, netcdf, pnetcdf) preparation
WPS (ungrib) compilation and preparation

Topic 4. Operation of MPAS Global Uniform Grid

The operation process of MPAS, and the operation of the global uniform gridn
MPAS operation steps: data preparation, initialization, operationn
Operation of the global uniform grid: initial, preparation of boundary field files

Topic 5. Operation of MPAS global non-uniform grid

The operation process of MPAS, and the operation of the global non-uniform gridn
MPAS operation steps: data preparation, initialization, operationn Operation
of the global non-uniform grid: the rotation of the high-resolution grid center; the preparation of the initial and boundary field files

Topic 6. Operation of MPAS Regional Grid

Preparation of data files required for the operation of MPAS regional grids
n Preparation of regional grids
n Preparation of boundary field files
n Operation of regional MPAS

Topic 7. Configuration during MPAS operation

Configuration and options during MPAS operation
n Options during MPAS operation
n Customization of MPAS output results

Topic 8. MPAS result processing, analysis and visualization

Proficient in  MPAS output result file structure, variable meaning, variable selection and result analysisn
MPAS result file structuren
MPAS result file variablesn
result analysis and drawing

Topic 9. MPAS Code Modification, Development and Improvement

Understand  the structure of MPAS code, the composition of main modules, and the modification of Fortran programn
Understand the main code structure of MPASn
Understand the composition of several major modules of MPAS and the corresponding program locationsn
Modify the code as needed, compile and run

Other related recommendations:

Wind, light, and water energy automatic forecasting technology of high spatial-temporal resolution and high-precision integrated forecasting technology

Improve practical application capabilities in the fields of meteorology, oceanography, and hydrology based on Python machine learning and deep learning technology

Practical technology of Python in WRF model automatic operation and pre- and post-processing

Practical technology of Python language in the field of earth science

CMIP6 data processing methods and typical case analysis practice technology application

Guess you like

Origin blog.csdn.net/weixin_49857990/article/details/131942605