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New User Guide for WRF-GHG / WRF-VPRM

callewaerts

New member
Hello WRF-GHG Community,

I'm excited to share a new resource that I hope many of you will find useful: “WRF-GHG User Guide.” You can access it via this DOI link:
🔗 WRF-GHG user guide - Repository of BIRA-IASB

What’s Inside?

This guide offers a comprehensive overview focused on the greenhouse gas option of WRF-GHG (chem_opt=17), where CO2, CH4 and CO are handled as passive tracers. It is also relevant for users of the CO2-only option, often referred to as WRF-VPRM (chem_opt=16). The guide consolidates and organizes various pieces of information about this option that I found useful but were not clearly explained in the official documentation.

Why This Guide?

As a fellow WRF user, I noticed a gap in the available documentation, which is evident from the many topics on this forum regarding this option. This guide aims to bridge that gap by providing a practical overview based on my personal experience and various existing resources.

Get Involved

I would love to hear your feedback and suggestions for improvement. If you find the guide helpful or have additional insights to share, please contribute your thoughts here or contact me directly.

Thank you, and I hope this guide enhances your experience with WRF-GHG!

Best regards,
Sieglinde Callewaert

PhD student

Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
University of Liège, Liège, Belgium
 
This is great! I've bookmarked it and it's already proved to be helpful to me.

I am struggling with the PyVPRM system, though. I noticed that the MODIS satellite imagery is in HDF4 files, while the examples to run PyVPRM use NetCDF files, and I have, as of yet, not been able to convert the HDF4 files into a NetCDF format that the PyVPRM can run. How did you get PyVPRM to run successfully?
 
Thank you for your kind words! I'm glad you found the document helpful.
Unfortunately, I haven't had the opportunity yet to learn to use this new pyVPRM system myself. I currently only have experience with the 'VPRM Preprocessor' in R. I do plan to use pyVPRM in the future though.
Maybe post a separate topic on pyVPRM and other users might be able to help sooner?
 
Thank you for your kind words! I'm glad you found the document helpful.
Unfortunately, I haven't had the opportunity yet to learn to use this new pyVPRM system myself. I currently only have experience with the 'VPRM Preprocessor' in R. I do plan to use pyVPRM in the future though.
Maybe post a separate topic on pyVPRM and other users might be able to help sooner?
Hi callewaerts,

Thanks for your user guide which is really helpful!

I have encountered some issues while using the WRF-VPRM model.

Firstly, In my recent simulations, I noticed that the CO2_BIO values are all positive. My understanding is that these values should represent both carbon uptake and release, hence there should be both positive and negative values. I attached my namelist.input, I appreciate that you could give me some advice!

Secondly, I have read your article on using WRF-Chem to simulate the Xianghe region and have downloaded some of your data. I noticed that in your dataset, the biogenic and oceanic emissions are present and relatively stable from the bottom layer all the way to the top. However, in my simulation results, these emissions approach zero by around the tenth layer.Could you please explain why there is such a difference? Is there something specific in the model configuration or input data that I might be missing?
 
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