the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comprehensive Air Quality Model With Extensions, v7.20: Formulation and Evaluation for Ozone and Particulate Matter Over the US
Abstract. The Comprehensive Air quality Model with extensions (CAMx) is an open-source, state-of-the-science photochemical grid model that addresses tropospheric air pollution (ozone, particulates, air toxics) over spatial scales ranging from neighborhoods to continents. CAMx has been in continuous development for over 25 years and used by numerous entities ranging from government to industry to academia to support regulatory actions and scientific research addressing a variety of air quality issues. Here we describe the technical formulation of CAMx v7.20, the current publicly available model version. To illustrate an example of regional and seasonal model performance for predicted ozone and fine particulate matter (PM2.5), we summarize a model evaluation from a recent 2016 national-scale CAMx application over nine climate zones contained within the conterminous US. From that evaluation, we find that statistical performance for warm season maximum 8-hour ozone is consistently within benchmark statistical criteria for bias, gross error, and correlation over all climate zones, and often near statistical goals. Statistical performance for 24-hour PM2.5 and constituents fluctuate around statistical criteria with more seasonal and regional variability that can be attributed to different sources of uncertainty among PM2.5 species (e.g., weather influences, chemical treatments and interactions, emissions uncertainty, and ammonia treatments). We close with a mention of new features and capabilities that will be included in upcoming public releases of the model.
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Interactive discussion
Status: closed
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CEC1: 'Comment on gmd-2024-48', Juan Antonio Añel, 20 Jun 2024
Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.htmlYou have archived the code and data necessary to replicate your work in storage services that do not comply with our trusted permanent archival policy. Therefore, you must publish your code and datasets in one of the appropriate repositories according to it.
In this way, you must reply to this comment with the link to the new repositories used in your manuscript, with their DOI. The reply and the repository should be available as soon as possible, and before the Discussions stage is closed, to be sure that anyone has access to it for review purposes.
Also, you must include in a potential reviewed version of your manuscript the modified 'Code Availability' and 'Data Availability' sections, containing links to repositories and their DOIs.
Please, reply as soon as possible to this comment with the requested information so that it is available for the peer-review process, as it should be.
Please, be aware that failing to comply promptly with this request will result in rejecting your manuscript for publication.Regards,
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/gmd-2024-48-CEC1 -
AC1: 'Reply on CEC1', Chris Emery, 21 Jun 2024
Dear Editor- It would be exceedingly time-consuming to transfer the terabytes of modeling data from their existing public repositories to a new repository that meets the journal’s requirements. Therefore, the authors have collectively agreed to withdraw our paper from consideration for publishing in GMD. We further want to express that inconsistent messaging from editorial staff and slow decisions over the three months since submission have both been regrettable experiences.Â
Chris Emery
Corresponding Author
Citation: https://doi.org/10.5194/gmd-2024-48-AC1 -
CEC2: 'Reply on AC1', Juan Antonio Añel, 21 Jun 2024
Dear authors,
I am sorry to hear that you have decided to withdraw your manuscript. On behalf of the editorial board, I apologize for the bad experience you could have experienced regarding managing your manuscript. It can be challenging to find a topical editor for some manuscripts. Regarding the deposit of the code and data, these requirements are exposed in the journal policy. To clarify, we could not have alerted you before, but we expect that authors prepare submissions carefully and pay attention to them. We only come late on these issues when, despite all the checks that in-house staff and topical editors performed, it is clear that the submissions are not compliant.
Regarding your first concern, it is understandable that full model outputs are several TB and that moving to a new repository takes work. In such cases, we can accept that only the final output fields used in the paper are stored. That is, it is unnecessary to store output files that contain much more information than those used in the submitted manuscript.
However, you must store the code in a repository that assures long-term access and curation.
If you can comply with these requirements and want to reconsider the withdrawal of your manuscript, we are happy to do so.Regards,
Juan A. Añel
Geosci. Model Dev. Executive Editor
Citation: https://doi.org/10.5194/gmd-2024-48-CEC2
-
CEC2: 'Reply on AC1', Juan Antonio Añel, 21 Jun 2024
-
AC1: 'Reply on CEC1', Chris Emery, 21 Jun 2024
Interactive discussion
Status: closed
-
CEC1: 'Comment on gmd-2024-48', Juan Antonio Añel, 20 Jun 2024
Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.htmlYou have archived the code and data necessary to replicate your work in storage services that do not comply with our trusted permanent archival policy. Therefore, you must publish your code and datasets in one of the appropriate repositories according to it.
In this way, you must reply to this comment with the link to the new repositories used in your manuscript, with their DOI. The reply and the repository should be available as soon as possible, and before the Discussions stage is closed, to be sure that anyone has access to it for review purposes.
Also, you must include in a potential reviewed version of your manuscript the modified 'Code Availability' and 'Data Availability' sections, containing links to repositories and their DOIs.
Please, reply as soon as possible to this comment with the requested information so that it is available for the peer-review process, as it should be.
Please, be aware that failing to comply promptly with this request will result in rejecting your manuscript for publication.Regards,
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/gmd-2024-48-CEC1 -
AC1: 'Reply on CEC1', Chris Emery, 21 Jun 2024
Dear Editor- It would be exceedingly time-consuming to transfer the terabytes of modeling data from their existing public repositories to a new repository that meets the journal’s requirements. Therefore, the authors have collectively agreed to withdraw our paper from consideration for publishing in GMD. We further want to express that inconsistent messaging from editorial staff and slow decisions over the three months since submission have both been regrettable experiences.Â
Chris Emery
Corresponding Author
Citation: https://doi.org/10.5194/gmd-2024-48-AC1 -
CEC2: 'Reply on AC1', Juan Antonio Añel, 21 Jun 2024
Dear authors,
I am sorry to hear that you have decided to withdraw your manuscript. On behalf of the editorial board, I apologize for the bad experience you could have experienced regarding managing your manuscript. It can be challenging to find a topical editor for some manuscripts. Regarding the deposit of the code and data, these requirements are exposed in the journal policy. To clarify, we could not have alerted you before, but we expect that authors prepare submissions carefully and pay attention to them. We only come late on these issues when, despite all the checks that in-house staff and topical editors performed, it is clear that the submissions are not compliant.
Regarding your first concern, it is understandable that full model outputs are several TB and that moving to a new repository takes work. In such cases, we can accept that only the final output fields used in the paper are stored. That is, it is unnecessary to store output files that contain much more information than those used in the submitted manuscript.
However, you must store the code in a repository that assures long-term access and curation.
If you can comply with these requirements and want to reconsider the withdrawal of your manuscript, we are happy to do so.Regards,
Juan A. Añel
Geosci. Model Dev. Executive Editor
Citation: https://doi.org/10.5194/gmd-2024-48-CEC2
-
CEC2: 'Reply on AC1', Juan Antonio Añel, 21 Jun 2024
-
AC1: 'Reply on CEC1', Chris Emery, 21 Jun 2024
Data sets
The EPA 2016v Modeling Platform emissions, boundary conditions, and other ancillary CAMx inputs U.S. Environmental Protection Agency https://2016v3platform.s3.amazonaws.com/index.html#2016v3platform/
The EPA 2016v3 Modeling Platform meteorological input files U.S. Environmental Protection Agency https://views.cira.colostate.edu/iwdw/RequestData/Default.aspx?pid=NEIC_2016_V1
Model code and software
The CAMx v7.20 code, open-source user license, release notes, and user guide documentation Ramboll https://www.camx.com/download/source/
CAMx pre- and post-processing software Ramboll https://www.camx.com/download/support-software/
The CAMx model run script for both the baseline and sensitivity simulation as well as model output files Christopher A. Emery, Kirk R. Baker, Gary M. Wilson, and Greg Yarwood https://gaftp.epa.gov/aqmg/baker/emery2024/
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Kirk R. Baker
Gary M. Wilson
Greg Yarwood
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