An ensemble Kalman filter-based ocean data assimilation system improved by adaptive observation error inflation (AOEI)

Ohishi, Shun; Miyoshi, Takemasa; Kachi, Misako

doi:https://doi.org/10.5194/gmd-15-9057-2022

Articles | Volume 15, issue 24

https://doi.org/10.5194/gmd-15-9057-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-9057-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 24

Development and technical paper

|

20 Dec 2022

Development and technical paper |

| 20 Dec 2022

An ensemble Kalman filter-based ocean data assimilation system improved by adaptive observation error inflation (AOEI)

Shun Ohishi, Takemasa Miyoshi, and Misako Kachi

Data sets

A global surface drifter data set at hourly resolution (https://www.aoml.noaa.gov/phod/gdp/hourly_data.php) Shane Elipot, Rick Lumpkin, Renellys C. Perez, Jonathan M. Lilly, Jeffrey J. Early, and Adam M. Sykulski https://doi.org/10.1002/2016JC011716

The salinity retrieval algorithms for the NASA Aquarius version 5 and SMAP version 3 releases (https://podaac.jpl.nasa.gov/) Thomas Meissner, Frank J. Wentz, and David M. Le Vine https://doi.org/10.3390/rs10071121

The JRA-55 reanalysis: General specifications and basic characteristics (http://search.diasjp.net/en/dataset/JRA55) S. Kobayashi, Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi https://doi.org/10.2151/jmsj.2015-001

A global surface drifter data set at hourly resolution (https://www.aoml.noaa.gov/phod/gdp/hourly_data.php) Shane Elipot, Rick Lumpkin, Renellys C. Perez, Jonathan M. Lilly, Jeffrey J. Early, and Adam M. Sykulski https://doi.org/10.1002/2016JC011716

ETOPO1 1 Arc-Minute Global Relief Model NOAA National Geophysical Data Center https://doi.org/10.7289/V5C8276M

Global Ocean Along Track L 3 Sea Surface Heights Reprocessed 1993 Ongoing Tailored For Data Assimilation Copernicus Marine Service https://doi.org/10.48670/moi-00146

The JRA-55 reanalysis: General specifications and basic characteristics (http://search.diasjp.net/en/dataset/JRA55) Shinya Kobayashi, Yukinari Ota, Yayoi Harada, Ayataka Ebita, Masami Moriya, Hirokatsu Onoda, Kazutoshi Onogi, Hirotaka Kamahori, Chiaki Kobayashi, Hirokazu Endo, Kengo Miyaoka, and Kiyotoshi Takahashi https://doi.org/10.2151/jmsj.2015-001

Model code and software

shunohishi/sbPOM-LETKF: sbPOM-LETKF (v1.0) Shun Ohishi https://doi.org/10.5281/zenodo.6482744

Climatologically significant effects of some approximations in the bulk parameterizations of turbulent air-sea fluxes (https://github.com/brodeau/aerobulk) Laurent Brodeau, Bernard Barnier, Sergey K. Gulev, and Cian Woods https://doi.org/10.1175/JPO-D-16-0169.1

Short summary

An adaptive observation error inflation (AOEI) method was proposed for atmospheric data assimilation to mitigate erroneous analysis updates caused by large observation-minus-forecast differences for satellite brightness temperature around clear- and cloudy-sky boundaries. This study implemented the AOEI with an ocean data assimilation system, leading to an improvement of analysis accuracy and dynamical balance around the frontal regions with large meridional temperature differences.