the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A revised ocean mixed layer model for better simulating the diurnal variation of ocean skin temperature
Abstract. Sea surface temperature (SST) is a pivotal parameter in climate, weather, and ocean sciences because it plays a decisive role in ocean-atmosphere interactions. Identifying deficiencies in the ERA5 reanalysis of ocean skin temperature, we revisited the ocean mixed layer (OML) model used at ECMWF and identified errors in the model, and revised it accordingly. Validation of the revised model was conducted through comparisons of simulated temperatures at the skin layer and 1-m depth with observations from ship-board infrared interferometers and buoy-mounted thermistors. These comparisons revealed a strong correlation, with an absolute mean deviation of less than 0.1 K and a standard deviation under 0.5 K. We concluded that the temperature at the ocean-atmosphere interface possesses the same degree of accuracy. Moreover, the results closely align with anticipated distributions of solar radiation. Consequently, the revised OML model shows promising potential for improving the simulation of diurnal interface SST variations in weather and climate models.
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Status: open (until 18 May 2024)
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CEC1: 'Comment on gmd-2024-23', Juan Antonio Añel, 27 Mar 2024
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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.htmlIn your manuscript you state that the code and data used for your study is only available upon request. This is a serious break of our policy, which clearly establishes that the code and data for every manuscript must be published in a trusted long-term repository (from the ones listed in our policy) before submission, and that no manuscript will be considered if it lacks to comply with it.
In this way, if you do not fix this problem as soon as possible, we will have to reject your manuscript for publication in our journal. Again, I should note that, actually, your manuscript should not have been accepted in Discussions, given this lack of compliance with our policy. Therefore, the current situation with your manuscript is irregular.
When you publish your code, please, include a license for it. If you do not include a license, the code continues to be your property and nobody can use it. We recommend the GPLv3 license. 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: GPLv2, Apache License, MIT License, etc.
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/gmd-2024-23-CEC1 -
CEC2: 'Reply on CEC1', Juan Antonio Añel, 27 Mar 2024
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Dear authors,
To further clarify my previous comment, you must reply to this comment with the DOI and link for the code and data repositories.
Regards,
Juan A. Añel
Geosci. Model Dev. Executive Editor
Citation: https://doi.org/10.5194/gmd-2024-23-CEC2 -
AC1: 'Reply on CEC1', B.J. Sohn, 29 Mar 2024
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Dear Prof. Juan A. Añel,
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Thank you for bringing to our attention the issue regarding our manuscript's adherence to the Code and Data Policy of the Geoscientific Model Development.
We apologize for the oversight in adhering to the journal's requirements on the code and data availability. We understand the importance of ensuring that our research is both reproducible and accessible, facilitating a transparent review process and contributing to the wider scientific community.
In line with the journal's Code and Data Policy, we have uploaded our model code and the dataset for the figures in the Zenodo repository, along with a GPLv3 license for the code. Accordingly, we have updated the "Data and Code Availability" section of our manuscript by including followings:
Lines 389-391: "The revised model code along with the data pertaining to figures is available for download from the Zenodo repository (https://doi.org/10.5281/zenodo.10890257)."
We believe that these measures address the concerns raised and bring our submission into compliance with the journal’s Code and Data Policy.
Â
Sincerely,
Â
Byung-Ju Sohn, Ph.D.
Emeritus Professor of Seoul National University
Honorary Professor of Nanjing University of Information Science and Technology (NUIST)
Email: sohnbj@gmail.com
Citation: https://doi.org/10.5194/gmd-2024-23-AC1
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CEC2: 'Reply on CEC1', Juan Antonio Añel, 27 Mar 2024
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