LETKF‐based Ocean Research Analysis (LORA) version 1.0

Abstract Local ensemble transform Kalman filter (LETKF)‐based Ocean Research Analysis (LORA) version 1.0 datasets for western North Pacific (WNP) and Maritime Continent (MC) regions (LORA‐WNP and ‐MC, respectively) are released through the JAXA‐RIKEN Ocean Analysis website. The LORA datasets are created using an eddy‐resolving LETKF‐based ocean data assimilation system with satellite sea‐surface temperature, salinity, and height data and with in‐situ temperature and salinity data assimilated daily. The LORA datasets include 128‐member ensemble analyses at the sea surface (2D), each term of mixed‐layer temperature and salinity budget equations, and the related variables (2D) such as mixed‐layer depth and heat and freshwater fluxes as well as system grid information and analysis ensemble mean and spread (3D), from August 2015 to January 2024 (as of June 2024). The LORA datasets are useful for geoscience research and practical applications, especially for particle tracking, boundary conditions of atmospheric models, and research on spatiotemporal variations in sea‐surface temperature and salinity.

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Publication Details

Journal
Geoscience Data Journal
Published
2024-08-22
DOI
https://doi.org/10.1002/gdj3.271
Citations
4
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.51

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LETKF‐based Ocean Research Analysis (LORA) version 1.0

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4 citations
Geoscience Data Journal
Meteorological Phenomena and Simulations
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article

LETKF‐based Ocean Research Analysis (LORA) version 1.0

Tomohiko Higashiuwatoko, Takemasa Miyoshi, Eri Yoshizawa, Hiroshi Murakami, Shun Ohishi, Misako Kachi, Takafusa Ando
article en
4 citations

Abstract

Abstract Local ensemble transform Kalman filter (LETKF)‐based Ocean Research Analysis (LORA) version 1.0 datasets for western North Pacific (WNP) and Maritime Continent (MC) regions (LORA‐WNP and ‐MC, respectively) are released through the JAXA‐RIKEN Ocean Analysis website. The LORA datasets are created using an eddy‐resolving LETKF‐based ocean data assimilation system with satellite sea‐surface temperature, salinity, and height data and with in‐situ temperature and salinity data assimilated daily. The LORA datasets include 128‐member ensemble analyses at the sea surface (2D), each term of mixed‐layer temperature and salinity budget equations, and the related variables (2D) such as mixed‐layer depth and heat and freshwater fluxes as well as system grid information and analysis ensemble mean and spread (3D), from August 2015 to January 2024 (as of June 2024). The LORA datasets are useful for geoscience research and practical applications, especially for particle tracking, boundary conditions of atmospheric models, and research on spatiotemporal variations in sea‐surface temperature and salinity.

Geoscience Data Journal
Japan Aerospace Exploration Agency (JP), Pioneer (Japan) (JP), RIKEN Center for Computational Science (JP), Remote Sensing Technology Center of Japan (JP), Nagoya University (JP)
Foundation for Computational Science, Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Japan Aerospace Exploration Agency, RIKEN, Bio-oriented Technology Research Advancement Institution, Core Research for Evolutional Science and Technology, Strategic International Collaborative Research Program, AIP Network Laboratory
Life below water
Openalex Percentile: Top 20%
Meteorological Phenomena and Simulations
1.51
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