Intercomparison and validation of the mixed layer depth fields of global ocean syntheses

Intercomparison and evaluation of the global ocean surface mixed layer depth (MLD) fields estimated from a suite of major ocean syntheses are conducted. Compared with the reference MLDs calculated from individual profiles, MLDs calculated from monthly mean and gridded profiles show negative biases o...

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Main Authors: Toyoda, Takahiro, Fujii, Yosuke, Kuragano, Tsurane, Kamachi, Masafumi, Ishikawa, Yoichi, Masuda, Shuhei, Sato, Kanako, Awaji, Toshiyuki, Hernandez, Fabrice, Ferry, Nicolas, Guinehut, Stéphanie, Martin, Matthew J., Peterson, K. Andrew, Good, Simon A., Valdivieso, Maria, Haines, Keith, Storto, Andrea, Masina, Simona, Köhl, Armin, Zuo, Hao, Balmaseda, Magdalena, Yin, Yonghong, Shi, Li, Alves, Oscar, Smith, Gregory, Chang, You-Soon, Vernieres, Guillaume, Wang, Xiaochun, Forget, Gael, Heimbach, Patrick, Wang, Ou, Fukumori, Ichiro, Lee, Tong
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:http://hdl.handle.net/1721.1/104620
https://orcid.org/0000-0003-3925-6161
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author Toyoda, Takahiro
Fujii, Yosuke
Kuragano, Tsurane
Kamachi, Masafumi
Ishikawa, Yoichi
Masuda, Shuhei
Sato, Kanako
Awaji, Toshiyuki
Hernandez, Fabrice
Ferry, Nicolas
Guinehut, Stéphanie
Martin, Matthew J.
Peterson, K. Andrew
Good, Simon A.
Valdivieso, Maria
Haines, Keith
Storto, Andrea
Masina, Simona
Köhl, Armin
Zuo, Hao
Balmaseda, Magdalena
Yin, Yonghong
Shi, Li
Alves, Oscar
Smith, Gregory
Chang, You-Soon
Vernieres, Guillaume
Wang, Xiaochun
Forget, Gael
Heimbach, Patrick
Wang, Ou
Fukumori, Ichiro
Lee, Tong
author2 Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
author_facet Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Toyoda, Takahiro
Fujii, Yosuke
Kuragano, Tsurane
Kamachi, Masafumi
Ishikawa, Yoichi
Masuda, Shuhei
Sato, Kanako
Awaji, Toshiyuki
Hernandez, Fabrice
Ferry, Nicolas
Guinehut, Stéphanie
Martin, Matthew J.
Peterson, K. Andrew
Good, Simon A.
Valdivieso, Maria
Haines, Keith
Storto, Andrea
Masina, Simona
Köhl, Armin
Zuo, Hao
Balmaseda, Magdalena
Yin, Yonghong
Shi, Li
Alves, Oscar
Smith, Gregory
Chang, You-Soon
Vernieres, Guillaume
Wang, Xiaochun
Forget, Gael
Heimbach, Patrick
Wang, Ou
Fukumori, Ichiro
Lee, Tong
author_sort Toyoda, Takahiro
collection MIT
description Intercomparison and evaluation of the global ocean surface mixed layer depth (MLD) fields estimated from a suite of major ocean syntheses are conducted. Compared with the reference MLDs calculated from individual profiles, MLDs calculated from monthly mean and gridded profiles show negative biases of 10–20 m in early spring related to the re-stratification process of relatively deep mixed layers. Vertical resolution of profiles also influences the MLD estimation. MLDs are underestimated by approximately 5–7 (14–16) m with the vertical resolution of 25 (50) m when the criterion of potential density exceeding the 10-m value by 0.03 kg m[superscript −3] is used for the MLD estimation. Using the larger criterion (0.125 kg m[superscript −3]) generally reduces the underestimations. In addition, positive biases greater than 100 m are found in wintertime subpolar regions when MLD criteria based on temperature are used. Biases of the reanalyses are due to both model errors and errors related to differences between the assimilation methods. The result shows that these errors are partially cancelled out through the ensemble averaging. Moreover, the bias in the ensemble mean field of the reanalyses is smaller than in the observation-only analyses. This is largely attributed to comparably higher resolutions of the reanalyses. The robust reproduction of both the seasonal cycle and interannual variability by the ensemble mean of the reanalyses indicates a great potential of the ensemble mean MLD field for investigating and monitoring upper ocean processes.
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spelling mit-1721.1/1046202022-10-01T05:59:10Z Intercomparison and validation of the mixed layer depth fields of global ocean syntheses Toyoda, Takahiro Fujii, Yosuke Kuragano, Tsurane Kamachi, Masafumi Ishikawa, Yoichi Masuda, Shuhei Sato, Kanako Awaji, Toshiyuki Hernandez, Fabrice Ferry, Nicolas Guinehut, Stéphanie Martin, Matthew J. Peterson, K. Andrew Good, Simon A. Valdivieso, Maria Haines, Keith Storto, Andrea Masina, Simona Köhl, Armin Zuo, Hao Balmaseda, Magdalena Yin, Yonghong Shi, Li Alves, Oscar Smith, Gregory Chang, You-Soon Vernieres, Guillaume Wang, Xiaochun Forget, Gael Heimbach, Patrick Wang, Ou Fukumori, Ichiro Lee, Tong Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Forget, Gael Heimbach, Patrick Intercomparison and evaluation of the global ocean surface mixed layer depth (MLD) fields estimated from a suite of major ocean syntheses are conducted. Compared with the reference MLDs calculated from individual profiles, MLDs calculated from monthly mean and gridded profiles show negative biases of 10–20 m in early spring related to the re-stratification process of relatively deep mixed layers. Vertical resolution of profiles also influences the MLD estimation. MLDs are underestimated by approximately 5–7 (14–16) m with the vertical resolution of 25 (50) m when the criterion of potential density exceeding the 10-m value by 0.03 kg m[superscript −3] is used for the MLD estimation. Using the larger criterion (0.125 kg m[superscript −3]) generally reduces the underestimations. In addition, positive biases greater than 100 m are found in wintertime subpolar regions when MLD criteria based on temperature are used. Biases of the reanalyses are due to both model errors and errors related to differences between the assimilation methods. The result shows that these errors are partially cancelled out through the ensemble averaging. Moreover, the bias in the ensemble mean field of the reanalyses is smaller than in the observation-only analyses. This is largely attributed to comparably higher resolutions of the reanalyses. The robust reproduction of both the seasonal cycle and interannual variability by the ensemble mean of the reanalyses indicates a great potential of the ensemble mean MLD field for investigating and monitoring upper ocean processes. Japan. Ministry of Education, Culture, Sports, Science and Technology. Research Program on Climate Change Adaptation Japan. Ministry of Education, Culture, Sports, Science and Technology. Data Integration and Analysis System Great Britain. Department of Energy and Climate Change Great Britain. Department for Environment, Food & Rural Affairs Met Office Hadley Centre Climate Programme Great Britain. Public Weather Service Research Programme European Commission (Projects MyOcean (FP7-SPACE-2007-1) and MyOcean2 (FP7-SPACE-2011-1)) 2016-09-30T19:51:38Z 2016-09-30T19:51:38Z 2015-05 2014-12 2016-08-18T15:25:20Z Article http://purl.org/eprint/type/JournalArticle 0930-7575 1432-0894 http://hdl.handle.net/1721.1/104620 Toyoda, Takahiro et al. “Intercomparison and Validation of the Mixed Layer Depth Fields of Global Ocean Syntheses.” Climate Dynamics (2015): n. pag. CrossRef. Web. 30 Sept. 2016. https://orcid.org/0000-0003-3925-6161 en http://dx.doi.org/10.1007/s00382-015-2637-7 Climate Dynamics Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Springer-Verlag Berlin Heidelberg application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg
spellingShingle Toyoda, Takahiro
Fujii, Yosuke
Kuragano, Tsurane
Kamachi, Masafumi
Ishikawa, Yoichi
Masuda, Shuhei
Sato, Kanako
Awaji, Toshiyuki
Hernandez, Fabrice
Ferry, Nicolas
Guinehut, Stéphanie
Martin, Matthew J.
Peterson, K. Andrew
Good, Simon A.
Valdivieso, Maria
Haines, Keith
Storto, Andrea
Masina, Simona
Köhl, Armin
Zuo, Hao
Balmaseda, Magdalena
Yin, Yonghong
Shi, Li
Alves, Oscar
Smith, Gregory
Chang, You-Soon
Vernieres, Guillaume
Wang, Xiaochun
Forget, Gael
Heimbach, Patrick
Wang, Ou
Fukumori, Ichiro
Lee, Tong
Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
title Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
title_full Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
title_fullStr Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
title_full_unstemmed Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
title_short Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
title_sort intercomparison and validation of the mixed layer depth fields of global ocean syntheses
url http://hdl.handle.net/1721.1/104620
https://orcid.org/0000-0003-3925-6161
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