A Moist Quasi-Geostrophic Coupled Model: MQ-GCM2.0
- 1Department of Mathematical Sciences, University of Wisconsin-Milwaukee, P. O. Box 413, Milwaukee, WI 53201, USA
- 2Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, 117218, Russia
- 3Institute of Applied Physics, Russian Academy of Sciences, Nizhniy Novgorod, 603155, Russia
- 4Research School of Earth Sciences, and ARC Centre of Excellence in Climate Extremes, Australian National University, Canberra, Australia
- 5Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32304, USA
- 6Laboratoire de Glaciologie et Geophysique de l'Environnement, CNRS, Grenoble, France
- 7Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton SO14 3ZH, United Kingdom
- 1Department of Mathematical Sciences, University of Wisconsin-Milwaukee, P. O. Box 413, Milwaukee, WI 53201, USA
- 2Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, 117218, Russia
- 3Institute of Applied Physics, Russian Academy of Sciences, Nizhniy Novgorod, 603155, Russia
- 4Research School of Earth Sciences, and ARC Centre of Excellence in Climate Extremes, Australian National University, Canberra, Australia
- 5Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32304, USA
- 6Laboratoire de Glaciologie et Geophysique de l'Environnement, CNRS, Grenoble, France
- 7Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton SO14 3ZH, United Kingdom
Abstract. This paper contains a description of recent changes to the formulation and numerical implementation of the Quasi-Geostrophic Coupled Model (Q-GCM), which constitute a major update of the previous version of the model (Hogg et al., 2014). The Q-GCM model has been designed to provide an efficient numerical tool to study the dynamics of multi-scale mid-latitude air–sea interactions and their climatic impacts. The present additions/alterations were motivated by an inquiry into the dynamics of mesoscale ocean–atmosphere coupling and, in particular, by an apparent lack of Q-GCM atmosphere’s sensitivity to mesoscale sea-surface temperature (SST) anomalies, even at high (mesoscale) atmospheric resolutions, contrary to ample theoretical and observational evidence otherwise. Major modifications aimed at alleviating this problem include an improved radiative-convective scheme resulting in a more realistic model mean state and associated model parameters, a new formulation of entrainment in the atmosphere, which prompts more efficient communication between the atmospheric mixed layer and free troposphere, as well as an addition of temperature-dependent wind component in the atmospheric mixed layer and the resulting mesoscale feedbacks. The most drastic change is, however, the inclusion of moist dynamics in the model, which may be key to midlatitude ocean–atmosphere coupling. Accordingly, this version of the model is to be referred to as the MQ-GCM model. Overall, the MQ-GCM model is shown to exhibit a rich spectrum of behaviours reminiscent of many of the observed properties of the Earth’s climate system. It remains to be seen whether the added processes are able to affect in fundamental ways the simulated dynamics of the mid-latitude ocean–atmosphere system’s coupled decadal variability.
Sergey Kravtsov et al.
Status: open (extended)
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RC1: 'Comment on gmd-2021-160', Anonymous Referee #1, 18 Jul 2021
reply
This manuscript describes very significant upgrade of the Q-GCM model, which is unique and powerful modelling tool for various process studies in the midlatitude coupled ocean-atmosphere dynamics. The main new development is inclusion of moist dynamics, but there is a good list of other modifications. The paper is immaculately organized and written, and some interesting model simulations are included. The journal choice is also perfect. This is rare case, when I suggest to accept this manuscript as it is. Being familiar with the previous model version and with many results obtained from its solutions, I am confident that the submitted work is of high quality and scientifically significant. I am looking forward to become one of the users of the new code (named MQ-GCM2) and to read future papers exploring
various coupled flow regimes, as well as parameter and resolution dependencies. -
CEC1: 'Comment on gmd-2021-160', Juan Antonio Añel, 14 Aug 2021
reply
Dear authors,
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.html
You have archived your code in GitHub. However, GitHub is not a suitable repository. GitHub itself instructs authors to use other alternatives for long-term archival and publishing, such as Zenodo. Therefore, please, publish your code in one of the appropriate repositories, and include the relevant primary input/output data. In this way, you must include in a potential reviewed version of your manuscript the modified 'Code and Data Availability' section, the DOI of the code (and another DOI for the dataset if necessary).Also, in the GitHub repository there is no license listed. If you do not include a license with your model, the code continues to be your property and nobody can use it. Therefore, when uploading the model's code to Zenodo, you could want to choose a free software/open-source (FLOSS) license. We recommend the GPLv3. You only need to include the file 'https://www.gnu.org/licenses/gpl-3.0.txt' as LICENSE.txt with your code. Also, you can choose other options that Zenodo provides: GPLv2, Apache License, MIT License, etc.
In the meantime, please, reply as soon as possible to this comment with the link to the repository for the code, so that it is available for the peer-review process, as it should be.
Juan A. Añel
Geosc. Mod. Dev. Exec. Editor-
CC1: 'Reply on CEC1', Ilijana Mastilovic, 26 Aug 2021
reply
Thank you for your comment and apologies for the delayed response!
MQ-GCM model is uploaded to Zenodo and DOI is https://doi.org/10.5281/zenodo.5250828Also, the model’s code is now under GNU General Public License v3.0 or later.
Thanks,
Ilijana Mastilovic
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CC1: 'Reply on CEC1', Ilijana Mastilovic, 26 Aug 2021
reply
Sergey Kravtsov et al.
Sergey Kravtsov et al.
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