A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature

<p>Sea surface temperature (SST) is a crucial parameter in climate, weather, and ocean sciences due to its decisive role in ocean–atmosphere interactions. Identifying errors in the prognostic scheme used by the current European Centre for Medium-range Weather Forecasts (ECMWF) model for predic...

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Main Authors: E.-J. Kang, B.-J. Sohn, S.-W. Kim, W. Kim, Y.-C. Kwon, S.-B. Kim, H.-W. Chun, C. Liu
Format: Article
Language:English
Published: Copernicus Publications 2024-12-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/17/8553/2024/gmd-17-8553-2024.pdf
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author E.-J. Kang
B.-J. Sohn
B.-J. Sohn
S.-W. Kim
W. Kim
Y.-C. Kwon
S.-B. Kim
H.-W. Chun
C. Liu
author_facet E.-J. Kang
B.-J. Sohn
B.-J. Sohn
S.-W. Kim
W. Kim
Y.-C. Kwon
S.-B. Kim
H.-W. Chun
C. Liu
author_sort E.-J. Kang
collection DOAJ
description <p>Sea surface temperature (SST) is a crucial parameter in climate, weather, and ocean sciences due to its decisive role in ocean–atmosphere interactions. Identifying errors in the prognostic scheme used by the current European Centre for Medium-range Weather Forecasts (ECMWF) model for predicting the diurnal variation in ocean skin temperature led to a revisit and revision of the ocean mixed layer (OML) model. Validation of the revised model was conducted by comparing simulated temperatures at the sub-skin level and 1 m depth with observations from shipborne infrared measurements and buoys. 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, which are found to be comparable to errors in satellite observations of SST. Given that these results are derived from the same model simulations, the error statistics for the simulated skin temperature and its diurnal variation should have the same degree of accuracy. Furthermore, the simulation results closely align with anticipated solar radiation distributions, whereas ERA5 ocean skin temperature shows a significant lack of alignment with solar radiation. Consequently, the revised OML model shows promising potential for improving the simulation of diurnal SST variations in weather and climate models.</p>
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1991-9603
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publishDate 2024-12-01
publisher Copernicus Publications
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series Geoscientific Model Development
spelling doaj-art-d16bd6b4a6b14e6bae601b28a8c29e5c2024-12-02T13:03:17ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032024-12-01178553856810.5194/gmd-17-8553-2024A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperatureE.-J. Kang0B.-J. Sohn1B.-J. Sohn2S.-W. Kim3W. Kim4Y.-C. Kwon5S.-B. Kim6H.-W. Chun7C. Liu8School of Earth and Environmental Sciences, Seoul National University (SNU), Seoul, South KoreaSchool of Earth and Environmental Sciences, Seoul National University (SNU), Seoul, South KoreaSchool of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing, ChinaSchool of Earth and Environmental Sciences, Seoul National University (SNU), Seoul, South KoreaKorea Institute of Atmospheric Prediction Systems (KIAPS), Seoul, South KoreaNumerical Modeling Center, Korea Meteorological Administration (KMA), Daejeon, South KoreaNumerical Modeling Center, Korea Meteorological Administration (KMA), Daejeon, South KoreaNumerical Modeling Center, Korea Meteorological Administration (KMA), Daejeon, South KoreaSchool of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing, China<p>Sea surface temperature (SST) is a crucial parameter in climate, weather, and ocean sciences due to its decisive role in ocean–atmosphere interactions. Identifying errors in the prognostic scheme used by the current European Centre for Medium-range Weather Forecasts (ECMWF) model for predicting the diurnal variation in ocean skin temperature led to a revisit and revision of the ocean mixed layer (OML) model. Validation of the revised model was conducted by comparing simulated temperatures at the sub-skin level and 1 m depth with observations from shipborne infrared measurements and buoys. 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, which are found to be comparable to errors in satellite observations of SST. Given that these results are derived from the same model simulations, the error statistics for the simulated skin temperature and its diurnal variation should have the same degree of accuracy. Furthermore, the simulation results closely align with anticipated solar radiation distributions, whereas ERA5 ocean skin temperature shows a significant lack of alignment with solar radiation. Consequently, the revised OML model shows promising potential for improving the simulation of diurnal SST variations in weather and climate models.</p>https://gmd.copernicus.org/articles/17/8553/2024/gmd-17-8553-2024.pdf
spellingShingle E.-J. Kang
B.-J. Sohn
B.-J. Sohn
S.-W. Kim
W. Kim
Y.-C. Kwon
S.-B. Kim
H.-W. Chun
C. Liu
A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
Geoscientific Model Development
title A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
title_full A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
title_fullStr A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
title_full_unstemmed A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
title_short A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
title_sort revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
url https://gmd.copernicus.org/articles/17/8553/2024/gmd-17-8553-2024.pdf
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