Dear friend Setareh Rahimi

I hope this message finds you Setareh Rahimi well! Working with WRF-Chem and adapting emission inventories can indeed be quite an adventure. I wanted to share some friendly tips on how to convert your custom NetCDF emission inventory to ensure compatibility with the anthro_emis utility.

First, it's crucial to understand the required structure of your NetCDF file. Make sure it includes variables for emission types such as NOx and VOCs, along with dimensions that align with WRF-Chem's requirements—typically time, latitude, longitude, and vertical levels. Additionally, ensure that emissions are in the appropriate units, often kg/m²/s for surface emissions.

Next, consider using scripting tools like Python with libraries such as netCDF4 or x-array to manipulate the NetCDF structure. These tools can help you reshape, rename dimensions and variables, and adjust units to fit WRF-Chem’s expectations. It might be helpful to check out example emission files used with the anthro_emis utility, as they can serve as benchmarks for variable names and data organization.

Don’t forget to tap into the WRF-Chem user community or forums for additional support. They can be invaluable resources for finding scripts and guidance. Once you've reformatted your inventory, I recommend running small test simulations to verify that everything interfaces correctly with WRF-Chem.

Getting everything aligned might take a bit of patience, but I’m confident you’ll manage it. Good luck sorting through the data, and remember, you’re not alone in this process. Feel free to reach out if you have any questions or need further assistance!

Best regards,

Kaushik