Tohoku University high-resolution global analytical sea surface temperature (SST) dataset


IDENTIFICATION INFORMATION

Name Tohoku University high-resolution global analytical sea surface temperature (SST) dataset
Abbreviation MSST
Metadata Identifier MSST20200901172026-DIAS20200901154929-en

CONTACT

CONTACT on DATASET

Name Hiromichi Igarashi
Organization JAMSTEC/DrC
Address 3173-25,Showa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan
E-mail higarashi@jamstec.go.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Hiromichi Igarashi
Organization JAMSTEC/DrC
E-mail higarashi@jamstec.go.jp

DATASET CREATOR

Name Hiroshi Kawamura
Organization Center for Atmospheric and Oceanic Studies Graduate School of Science, Tohoku University
E-mail kamu@ocean.caos.tohoku.ac.jp

DATE OF THIS DOCUMENT

2020-09-01

DATE OF DATASET

  • publication : 2006-05-01

DATASET OVERVIEW

Abstract

A research group mainly from Tohoku University have made a unprecedented high-resolution global analytical sea surface temperature (SST) dataset from January 1990 by merging various satellite data. They are daily and 0.1grid (about 10 km) data. Conventional analytical SST data for climate research were weekly or monthly 1^ gridded (about 100 km), and it was very difficult to detect eddies in the ocean and the current axis of Kuroshio, for example. This new high-resolution SST has a much finer grid size, and we have also attempted to suppress spatial smoothing when producing this SST. This enables us to detect small-scale variations easily and to analyze the heat budget and dynamics of the ocean and atmosphere. Heat transport due to oceanic eddies or Kuroshio, and heat exchange between the ocean and atmosphere are very important phenomena that control the climate on earth. Our SST data will enable us to understand the basin- or globe-scale heat budget and water circulation better than before. Hence they may also serve to the improvement of the prediction accuracy of the global warming using high-resolution global climate models running on the Earth Simulator. The group has developed a technique to merge different kinds of satellite SST data with a high resolution using optimum interpolation. It is one of the new features that the SST observed with microwave satellite sensors, which have enabled the observation through clouds, is utilized in addition to the thermal infrared SST that have been used widely for a long time. The microwave sensors to observe the globe have been developed, produced, and operated by the Japan Aerospace Exploration Agency (JAXA). The new SST data have been produced on a developed computer system which enables us to process the large-amount global long-term SST data with high speed.

Topic Category(ISO19139)

  • oceans

Temporal Extent

Begin Date 1990-01-01
End Date 2005-03-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 85
West bound longitude -180
Eastbound longitude 180
South bound latitude -85

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 3600 0.1 (deg)
column 1700 0.1 (deg)

Geographic Description

global

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme ocean, satellite, OISST, Kyosei-7

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

LICENSE

Data Policy by the Data Provider

These global high-resolution analytical SST data have been produced by the Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, and sponsored by the Category 7 of MEXT (Ministry of Education, Culture, Sports, Science and Technology) RR2002 Project for Sustainable Coexistence of Humans, Nature and the Earth.

Permission is granted to use these data in research and publications when accompanied by the above statement. The use of these data is limited to research and education.

Data Policy by the Project

Data Integration and Analysis System

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

"We used the [name of dataset] provided by [name of data provider] in this study. This dataset was collected and provided under the Data Integration and Analysis System (DIAS, Project No. JPMXD0716808999), which has been developed and operated by the Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

DISCLAIMER

Disclaimer of Project

Data Integration and Analysis System

If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/policy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

REFERENCES

Kawai, Y., H. Kawamura, S. Takahashi, K. Hosoda, H. Murakami, M. Kachi, and L. Guan (2006) : Satellite-based high-resolution global optimum interpolation sea surface temperature data. Journal of Geophysical Research. 111,C06016,doi:10.1029/2005JC003313.


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