S5_3_NHRCM


IDENTIFICATION INFORMATION

Name S5_3_NHRCM
Abbreviation S5_3_NHRCM
Metadata Identifier S5_3_NHRCM20230727083723-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Izuru Takayabu
Organization Meteorological Research Institute
Address 1-1 Nagamine, Tsukuba, Ibaraki, 305-0052, Japan
TEL +81-29-853-8612
FAX +81-29-855-7240
E-mail takayabu@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 Noriko Ishizaki
Organization NIED
E-mail nishizak@bosai.go.jp

DATASET CREATOR

Name Izuru Takayabu
Organization Meteorological Research Institute
E-mail takayabu@mri-jma.go.jp

DATE OF THIS DOCUMENT

2023-07-27

DATE OF DATASET

  • publication : 2014-08-__

DATASET OVERVIEW

Abstract

Dynamical downscaling products using a regional climate model NHRCM for the current climate (boundary condition: JRA25, MIROC3 20C3M) and future climate (boundary condition: MIROC3 A1B scenario) around Japan.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1979-01-01
End Date 2100-12-31
Temporal Characteristics Hourly

Geographic Bounding Box

North bound latitude 46.5
West bound longitude 115
Eastbound longitude 149
South bound latitude 23

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 131 20 (km)
column 121 20 (km)
vertical 3 (hPa)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Models > GCM GCMD_platform
theme GLOBAL CHANGE > Regional climate change, ATMOSPHERIC PROCESSES > Climatology, ATMOSPHERIC PROCESSES > Regional modeling, ATMOSPHERIC PROCESSES > Climate change and variability AGU
theme Climate, GEOSS
place Asia > Eastern Asia > Japan, Country
theme regional climate scenario, S5-3, multi-model ensemble, dynamical downscaling others

Keywords on Project

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

DATA POLICY

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 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

Iizumi, T., M. Nishimori, K. Dairaku, S. A. Adachi, and M. Yokozawa, 2011: Evaluation and intercomparison of downscaled daily precipitation indices over Japan in present‐day climate: Strengths and weaknesses of dynamical and bias correction‐type statistical downscaling methods, J. Geophys. Res., 116, D01111, doi:10.1029/2010JD014513.

Ishizaki, N. N., I. Takayabu, M. Oh’izumi, H. Sasaki, K. Dairaku, S. Iizuka, F. Kimura, H. Kusaka, S. A. Adachi, K. Kurihara, K. Murazaki, and K. Tanaka, 2012: Improved performance of simulated Japanese climate with a multi-model ensemble. J. Meteor. Soc. Japan, 90(2), 235-254, doi:10.2151/jmsj.2012-206.

Iizumi, T., I. Takayabu, K. Dairaku, H. Kusaka, M. Nishimori, G. Sakurai, N. N. Ishizaki, S. A. Adachi, and M. A. Semenov, 2012: Future change of daily precipitation indices in Japan: A stochastic weather generator-based bootstrap approach to provide probabilistic climate information. J. Geophys. Res. 117, D11114, doi:10.1029/2011JD017197.

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