Table of contents
Topic 1: Review of theoretical knowledge of regional climate models
Topic 2: Practical operation of WRF mode system of Linux operating system
Topic 3: Mode debugging and operation (hands-on practice)
Topic 4: Eleven Case Practices (Practical Operations)
Topic 5: Result Analysis [NCL\PYTHON] (Case Operation and Analysis)
As the construction of ecological civilization and the "carbon neutrality" strategy continue to advance, my country's and global climate change and response are the focus of attention of the government, scientific community and business community. Climate is the main driving factor in many fields (ecology, water resources, wind resources, carbon neutrality, etc.). A reasonable understanding of climate change is conducive to explaining the mechanisms and processes of ecological environment changes, and understanding current and future climate change is crucial. It is a prerequisite for ecological, environmental and energy assessment and carbon policy planning, and climate simulation is the most important means to obtain high-precision climate information. Modern ecology, hydrology, new energy and carbon neutral fields require sub-kilometre and higher resolution meteorology. For simulation, the WRF model is the most widely used meteorological model at home and abroad. There are more and more applications using this model for high-precision simulations of even hundreds of meters. On the other hand, the model continues to expand the model module, and now it can realize aerosol and chemical processes (WRF-CHEM), data assimilation (WRF-DA), hydrological processes (WRF-HYDRO), urbanization (URBAN) and other processes The precise simulation has more and more application scope and practical business and scientific research applications. However, this model runs on the Linux platform, and the pre-processing, operation and analysis processes are complex and difficult. In response to the requirements of workers in the fields of ecology, hydrology and environment, the " Full-process WRF high-precision meteorological simulation technology and its application in the field of geosciences" was specially held. Practical Application " .
Goal
1. Master the various components of the WRF model;
2. Complete the transplantation of this model independently;
3. Autonomous completion mode operation;
4. Complete mode post-processing independently;
5. Master the application of WRF model in the field of geoscience through multi-field case analysis and practice.
Topic 1: Review of theoretical knowledge of regional climate models
1. What can WRF mode do? (Temperature, precipitation, wind, pressure, energy, moisture, vegetation simulation and forecast)
2. WRF model framework and process
3. What kind of computing platform does WRF use? Computing system? Linux, not windows
Topic 2: Practical operation of WRF mode system
1. How to install the platform required for WRF mode? (vmware,linux)
2. How to build the system required for WRF compilation from scratch? (RockyLinue)
3. Install software (OneAPI)
4. WRF mode result file format? (NetCDF)
Topic 3: Mode debugging and operation (hands-on practice)
1. How does WRF obtain various information such as DEM, LUCC, vegetation, and albedo of the simulation area?
1.1How does WPS define the simulation area? How to prepare terrain, land use and other data (geogrid.exe)
1.2 How does WPS prepare meteorological data? (Temperature, air pressure, wind field, humidity, etc.)
1.3 How does WPS interpolate horizontally? (How does the software match different spatial resolution data and how to downscale from hundreds of kilometers to hundreds of meters)
2. How to integrate the WRF model to calculate meteorological variables and energy and moisture transfer
2.1 How does WRF complete the transformation from the isobaric layer to the terrain following coordinate system?
2.2 How the WRF model accurately calculates meteorology and related processes
Topic 4: Eleven Case Practices (Practical Operations)
1. Case operation 1: Basic software operation process
2. Case Operation 2: Research Area Setting Techniques
3. Case Operation 3: How the software performs weather forecasting
4. Case Operation 4: Software simulates monthly or annual scale weather
5. Case operation 5: How to simulate and analyze the observed temperature
6. Case operation 6: How to simulate and analyze precipitation
7. Case Operation 7: How to simulate and analyze water vapor and humidity
8. Case Operation 8: How to simulate and analyze the impact of land use change
9. Case Operation 9: How to simulate and analyze energy and moisture fluxes in soil and near-surface layers
10. Case operation 10: How to simulate and analyze wind fields
11. Case Operation 11: How to simulate and analyze other variables, including soil, water, vegetation and other related meteorological variables
Topic 5: Result Analysis [NCL\PYTHON] (Case Operation and Analysis)
1. How to analyze WRF simulation results? (NCL)
2. How to display WRF results? (Vapor)
3. How to display WRF results? (Python)