In this post, I present some simple programs written in Python for post-processing the flexpart-wrf output.
It mainly contains several aspects, data merging, data processing and data visualization. I will also show some tips tp creat self-defined colormaps for nice plots.
PS: All th codes are also uploaded in my GitHub respority PyFlex
FLEXPART is a Lagrangian particle dispersion model (LPDM) developed by Norwegian Institute of Air Research, Norway. It allows researchers to simulate the long-range transportation, diffusion, dry/wet deposition processes of atmospheric spcecies from their sources. It also can be utilized for backward calculation based on the observation of receptor to anaysis source-receptor relationships.
This model is coded following the Fortran 95 standard, and can be freely download from the page here. Flexpart 8.x/9.x is easy for compilation following the offical reference. I noticed that netCDF-format output (which would make the post-processing easier compared to the original binary output files) has been merged in the newer veision. Therefore, I tried to compile FLEXPART 10.0 beta version in the Linux system, while lots of issues appeared. My installing steps are listed as follows
本文是我学习官网练习的记录，其模拟区域为北非，中东以及欧洲部分地区，无嵌套设置。共分为5个练习，分别为:
- 初始场添加沙尘排放源的模拟
- 采用GOCART全球气溶胶排放清单的模拟
- 加入生物源排放的化学模拟(MEGAN引入)
- 加入气溶胶直接/间接辐射效应的模拟
- WRF-Chem数值预报实验
下文记录Exercise 1的流程和注意事项
气象场和化学物质排放是大气化学模式的两项最重要的前驱资料。在实验之余，我将着力学习WRF-Chem的有关内容，并记录、发布。
按照WRF-Chem Tutorial中的说明，在Learning to Run WRF-Chem之前，我先学习How to Generate Emission for WRF-Chem
本文记录Exercise 1的实现过程，可供有兴趣的同学参考。
实验室的服务器的四块硬盘全坏，而未进行备份，不得不将以前的内容全部重装一次。Python部分有Anaconda的分发包，比较容易。但常用的WRF模型却研究了好久。
之前，服务器采用的是ifort编译器。重装后，系统中只有gcc, 版本也比较旧(4.1.2)。 WRF编译失败，我认为原因可能是gcc太旧了。 因而，我考虑升级gcc的版本，同时由于本人不是root用户，也不能借助yum install gcc的简单办法，只得step by step地做。
本文记录了自gcc升级至WRF-Chem成功安装的全部流程，作为今后类似工作的参考。
Update your browser to view this website correctly. Update my browser now