the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A Model Instability Issue in the NCEP Global Forecast System Version 16 and Potential Solutions
Abstract. The National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) version 16 encountered a few model instability failures during the pre-operational real-time parallel runs. The model forecasts failed when an extremely small thickness depth appeared at the model’s lowest layer when strong tropical cyclones made landfall. A quick solution was to increase the value of minimum thickness depth, an arbitrary parameter introduced to prevent the occurrence of extremely thin model layers, thus numerical instability. This modification solved the issue of the model's numerical instability with a small impact on forecast skills. It was adopted in GFSv16 to help implement this version of the operational system as planned.
Further investigation showed that the extremely small thickness depth occurred after the advection of geopotential heights at the interfaces of model layers. In the FV3 dynamic core, the horizontal winds at interfaces for advection are calculated from the layer-mean values by solving a tridiagonal system of equations in the entire vertical column based on the Parabolic Spline Method (PSM) with high-order boundary conditions (BCs). We replaced the high-order BCs with zero-gradient BCs for the interface-wind reconstruction. The impact of the zero-gradient BCs was investigated by performing sensitivity experiments with GFSv16, idealized mountain ridge tests, and the Rapid Refresh Forecast System (RRFS). The results showed that zero-gradient BCs can fundamentally solve the instability and have little impact on the forecast performances and the numerical solution of idealized mountain tests. This option has been added to FV3 and will be utilized in the GFS (GFSv17/GEFSv13) and RRFS for operations in 2024.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(1878 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1878 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-1235', Anonymous Referee #1, 28 Feb 2023
- AC1: 'Reply on RC1', Xiaqiong Zhou, 07 Mar 2023
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RC2: 'Comment on egusphere-2022-1235', Anonymous Referee #2, 04 Apr 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1235/egusphere-2022-1235-RC2-supplement.pdf
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AC2: 'Reply on RC2', Xiaqiong Zhou, 13 Apr 2023
Thank you for the excellent summary of our work. Your summary accurately and concisely captured the key aspects and conclusions we would like to address in our manuscript. We revised the manuscript carefully according to your comments and suggestions. Please find our replies from the attachment.Â
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AC2: 'Reply on RC2', Xiaqiong Zhou, 13 Apr 2023
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EC1: 'Comment on egusphere-2022-1235', Simon Unterstrasser, 11 Apr 2023
Dear Authors,
I have read the two reviews . In my opinion and as adressed by the reviewers, the manuscript discusses a very particular problem, which may only be a relevant problem in your particular model. As a consequence, your presented solution that remedied the instability may not be of help for similar problems in similar models.
Nevertheless, I still see a benefit of describing such a problem and its solution in the scientific literature.
Hence, I encourage you to submit a revised version of the manuscript.
Kind regards,
Simon Unterstrasser
Â
Citation: https://doi.org/10.5194/egusphere-2022-1235-EC1 -
AC3: 'Reply on EC1', Xiaqiong Zhou, 13 Apr 2023
Dear Simon:
Thank you for taking the time as an editor to review our manuscript and the reviewer's comments. We appreciate your feedback and agree with the reviewers' comments that the problem we addressed in our manuscript may be specific to our model. However, we also believe that our findings and solution can still be valuable to the scientific community, particularly those working on similar models or with a similar problem. Moreover, we would like to highlight that FV3 has been widely used in weather forecasting and climate modeling, further emphasizing the significance of our research.
We have carefully considered the reviewers' comments and have revised the manuscript accordingly. We believe that these revisions have addressed the concerns raised by the reviewers and have strengthened the manuscript overall.
We would like to thank you for your encouragement to submit the revised manuscript. We have uploaded the revised version.
Best regards
Xiaqiong Zhou
Citation: https://doi.org/10.5194/egusphere-2022-1235-AC3
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AC3: 'Reply on EC1', Xiaqiong Zhou, 13 Apr 2023
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-1235', Anonymous Referee #1, 28 Feb 2023
- AC1: 'Reply on RC1', Xiaqiong Zhou, 07 Mar 2023
-
RC2: 'Comment on egusphere-2022-1235', Anonymous Referee #2, 04 Apr 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1235/egusphere-2022-1235-RC2-supplement.pdf
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AC2: 'Reply on RC2', Xiaqiong Zhou, 13 Apr 2023
Thank you for the excellent summary of our work. Your summary accurately and concisely captured the key aspects and conclusions we would like to address in our manuscript. We revised the manuscript carefully according to your comments and suggestions. Please find our replies from the attachment.Â
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AC2: 'Reply on RC2', Xiaqiong Zhou, 13 Apr 2023
-
EC1: 'Comment on egusphere-2022-1235', Simon Unterstrasser, 11 Apr 2023
Dear Authors,
I have read the two reviews . In my opinion and as adressed by the reviewers, the manuscript discusses a very particular problem, which may only be a relevant problem in your particular model. As a consequence, your presented solution that remedied the instability may not be of help for similar problems in similar models.
Nevertheless, I still see a benefit of describing such a problem and its solution in the scientific literature.
Hence, I encourage you to submit a revised version of the manuscript.
Kind regards,
Simon Unterstrasser
Â
Citation: https://doi.org/10.5194/egusphere-2022-1235-EC1 -
AC3: 'Reply on EC1', Xiaqiong Zhou, 13 Apr 2023
Dear Simon:
Thank you for taking the time as an editor to review our manuscript and the reviewer's comments. We appreciate your feedback and agree with the reviewers' comments that the problem we addressed in our manuscript may be specific to our model. However, we also believe that our findings and solution can still be valuable to the scientific community, particularly those working on similar models or with a similar problem. Moreover, we would like to highlight that FV3 has been widely used in weather forecasting and climate modeling, further emphasizing the significance of our research.
We have carefully considered the reviewers' comments and have revised the manuscript accordingly. We believe that these revisions have addressed the concerns raised by the reviewers and have strengthened the manuscript overall.
We would like to thank you for your encouragement to submit the revised manuscript. We have uploaded the revised version.
Best regards
Xiaqiong Zhou
Citation: https://doi.org/10.5194/egusphere-2022-1235-AC3
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AC3: 'Reply on EC1', Xiaqiong Zhou, 13 Apr 2023
Peer review completion
Journal article(s) based on this preprint
Data sets
initial conditions EMC/NCEP/NOAA https://www.ftp.ncep.noaa.gov/data/nccf/com/gfs/prod/
Model code and software
The model code, compilation script, the scripts to run the model and the namelist setting are available EMC/NOAA https://github.com/NOAA-EMC/global-workflow/tree/gfs.v16.2.2
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Cited
Xiaqiong Zhou
Hann-Ming Henry Juang
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1878 KB) - Metadata XML