150-year continuous simulation with 60km AGCM and 20km NHRCM by TOUGOU program


Citation for this dataset
Meteorological Researcn Institute. (2022). 150-year continuous simulation with 60km AGCM and 20km NHRCM by TOUGOU program [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.650
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IDENTIFICATION INFORMATION

Name 150-year continuous simulation with 60km AGCM and 20km NHRCM by TOUGOU program
DOI doi:10.20783/DIAS.650
Metadata Identifier GCM60_NHRCM20_150yr_TOUGOU20221209115028-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Meteorological Researcn Institute
Organization Integrated Research Program for Advancing Climate Models
E-mail takayabu@mri-jma.go.jp, rmizuta@mri-jma.go.jp, snosaka@mri-jma.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 Ryo Mizuta
Organization Integrated Research Program for Advancing Climate Models
E-mail rmizuta@mri-jma.go.jp, snosaka@mri-jma.go.jp

DATASET CREATOR

Name Meteorological Researcn Institute
Organization Program for Risk Information on Climate Change
E-mail rmizuta@mri-jma.go.jp, snosaka@mri-jma.go.jp

DATE OF THIS DOCUMENT

2022-12-09

DATE OF DATASET

  • publication : 2022-11-1_

DATASET OVERVIEW

Abstract

This is the dataset simulated by high resolution atmospheric global climate model (AGCM) with 60km horizontal resolution, and dynamical downscaling to Japanese region by regional climate model (RCM) with 20km horizontal resolution. The dataset is continuous one from the middle of 20th century to the end of 21th century, consists of the past climate (4 members of initial value ensemble) and the future climate (4 emission scenarios of the RCP2.6/4.5/6.0/8.5).

The continuous high-resolution simulations enable to estimate how meteorological events change from the past to the end of the 21st century, and to estimate when changes due to global warming become more pronounced than natural variability.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1950-01-01
End Date 2099-12-31
Temporal Characteristics 1/3/6/12 hourly, daily and monthly

Geographic Bounding Box

North bound latitude 48
West bound longitude 110
Eastbound longitude 160
South bound latitude 21

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row GCM:60, NHRCM:20 (km)
column GCM:60, NHRCM:20 (km)
vertical 24 GCM:1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 15, 10, 7, 5, 3, 2, 1, 0.5 (hPa)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme GLOBAL CHANGE > Global climate models, GLOBAL CHANGE > Regional climate change AGU
theme ATMOSPHERIC PROCESSES > Global climate models, ATMOSPHERIC PROCESSES > Regional modeling AGU

Keywords on Project

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

Data Environmental Information

GCM60/ 60km global model output HPD, HPD_m01 - m04 historical simulation (1950-2014) initial-value ensemble HFD_HighResMIP RCP8.5 scenario simulation (2015-2099, after HPD) HFD_rcp26 RCP2.6 scenario simulation (2015-2099, after HPD_m01) HFD_rcp45 RCP2.6 scenario simulation (2015-2099, after HPD_m02) HFD_rcp60 RCP2.6 scenario simulation (2015-2099, after HPD_m03) NHRCM20/ 20km regional model output RCP2.6/ downscaling from HPD_m01,HFD_rcp26 RCP4.5/ downscaling from HPD_m02,HFD_rcp45 RCP6.0/ downscaling from HPD_m03,HFD_rcp60 RCP8.5/ downscaling from HPD,HFD_HighResMIP Note that HPD and HFD_HighResMIP of GCM60 are the same as "highresSST-present" and "highresSST-future" experiments with MRI-AGCM3-2-H published at the CMIP6 archive.

Distribution Information

name version specification
binary N/A binary with grads control files
grib 1

DATA POLICY

Data Policy by the Data Provider

This dataset was produced by Meteorological Research Institute of Japan Meteorological Agency, under the support of the Integrated Research Program for Advancing Climate Models (TOUGOU, FY2017-2021) and the Data Integration and Analysis System (DIAS), funded by the Ministry of Education, Culture, Sports, Science and Technology (MEXT). The Earth Simulator was used for building up the dataset. Users can access the dataset via the data server maintained by DIAS.

Terms and Conditions:

1. Individual users must register their name, affiliation, email-address and purpose of use before access to the database will be permitted.

2. Individual users should not redistribute the data to any third party.

3. The source of the database should be duly acknowledged in scientific and technical papers, publications, press releases and other communications in case of using the data.

Example:

This study used data produced with the Earth Simulator by the Integrated Research Program for Advancing Climate Models (TOUGOU) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

Disclaimer:

Meteorological Research Institute of Japan Meteorological Agency is not responsible for any damage that may result from the use of this dataset. The intellectual property rights of the dataset belong exclusively to Meteorological Research Institute of Japan Meteorological Agency.

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

This study used data produced with the Earth Simulator by the Integrated Research Program for Advancing Climate Models (TOUGOU) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

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

Mizuta, R., M. Nosaka, T. Nakaegawa, H. Endo, S. Kusunoki, A. Murata, and I. Takayabu, 2022: Extreme precipitation in 150-year continuous simulations by 20-km and 60-km atmospheric general circulation models with dynamical downscaling over Japan by a 20-km regional climate model. J. Meteor. Soc. Japan, 100, 523-532. doi:10.2151/jmsj.2022-026.

Mizuta, R., H. Yoshimura, H. Murakami, M. Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M. Sugi, S. Yukimoto, S. Kusunoki, and A. Kitoh, 2012: Climate simulations using MRI-AGCM3.2 with 20-km grid. J. Meteor. Soc. Japan, 90A, 233-258, doi:10.2151/jmsj.2012-A12.

Murata, A., H. Sasaki, H. Kawase, M. Nosaka, M. Oh'izumi, T. Kato, T. Aoyagi, F. Shido, K. Hibino, S. Kanada, A. Suzuki-Parker, and T. Nagatomo, 2015: Projection of future climate change over Japan in ensemble simulations with a high-resolution regional climate model. SOLA, 11, 90-94.


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