The Japanese Reanalysis for Three Quarters of a Century


Citation for this dataset
Numerical Prediction Division, Information Infrastructure Department. (2022). The Japanese Reanalysis for Three Quarters of a Century [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.645
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IDENTIFICATION INFORMATION

Name The Japanese Reanalysis for Three Quarters of a Century
Abbreviation JRA-3Q
DOI doi:10.20783/DIAS.645
Metadata Identifier JRA3Q20221208145919-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Numerical Prediction Division, Information Infrastructure Department
Organization Japan Meteorological Agency
Address 3-6-9 Toranomon, Minato City, Tokyo, 105-8431, Japan
E-mail jra@met.kishou.go.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Numerical Prediction Division, Information Infrastructure Department
Organization Japan Meteorological Agency

DATASET CREATOR

Name Numerical Prediction Division, Information Infrastructure Department
Organization Japan Meteorological Agency

DATE OF THIS DOCUMENT

2022-12-08

DATE OF DATASET

  • publication : 2022-12-09

DATASET OVERVIEW

Abstract

The Japan Meteorological Agency is currently conducting the Japanese Reanalysis for Three Quarters of a Century (JRA-3Q), which covers the period from September 1947 onward to extend the current period of data coverage and improve the quality of long-term reanalysis. The project involves a sophisticated data assimilation system (based on the operational set-up as of December 2018) incorporating development results from the operational NWP system and sea surface temperature analysis achieved since the Japanese 55-year Reanalysis (JRA-55, based on the operational set-up as of December 2009). New datasets of past observations are also assimilated, including rescued historical observations and reprocessed satellite data supplied by meteorological and satellite centers worldwide. Many of the deficiencies of JRA-55 are alleviated in JRA-3Q, providing a high-quality homogeneous reanalysis dataset that covers the previous 75 years.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1991-01-01
End Date 2013-04-30

Geographic Bounding Box

North bound latitude 90
West bound longitude -180
Eastbound longitude 180
South bound latitude -90

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 40 (km)
column 480 40 (km)
vertical 100 0.02-25 (hPa)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Atmosphere ] GCMD_science
theme Aircraft, Balloons/Rockets, Earth Observation Satellites, In Situ Land-based Platforms, In Situ Ocean-based Platforms, Models > , Navigation Platforms GCMD_platform
theme Climate, Weather GEOSS

Keywords on Project

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

Distribution Information

name version specification
GRIB 2

DATA POLICY

Data Policy by the Data Provider

Disclaimer

Please note that although JMA has paid the closest attention to produce the Products, JMA assumes no responsibility regarding the reliability of the Products. JMA is not responsible to you for any damage that may be caused by the use of the Products on this site.

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/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) 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 Data Provider

JRA-3Q data should be acknowledged in scientific and technical reports.

Example

"This report references JRA-3Q reanalysis data from the Japan Meteorological Agency."

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.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

REFERENCES

Kobayashi, S., Y. Kosaka, J. Chiba, T. Tokuhiro, Y. Harada, C. Kobayashi, and H. Naoe, 2021: JRA-3Q: Japanese Reanalysis for Three Quarters of a Century. Joint WCRP-WWRP Symposium on Data Assimilation and Reanalysis/ECMWF Annual Seminar 2021, online, 13-17 September 2021, O4-2, https://symp-bonn2021.sciencesconf.org/data/355900.pdf.

Harada, Y., S. Kobayashi, Y. Kosaka, J. Chiba, and T. Tokuhiro, 2021: Early results of the evaluation of the JRA-3Q reanalysis, EGU General Assembly 2021, online, 19-30 April 2021, EGU21-3762, https://doi.org/10.5194/egusphere-egu21-3762.

Naoe, H., S. Kobayashi, Y. Kosaka, J. Chiba, T. Tokuhiro, and Y. Harada, 2021: Evaluation of a new Japanese reanalysis (JRA-3Q) in a pre-satellite era, EGU General Assembly 2021, online, 19-30 April 2021, EGU21-6881, https://doi.org/10.5194/egusphere-egu21-6881.


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