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 MSST20181218142910-DIAS20180903143952-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

2018-12-18

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

USE CONSTRAINTS

Data Policy by 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 for Project

Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

Disclaimer for Project

Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

ACKNOWLEDGEMENT

Project Acknowledgement

Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

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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