NARO2017 Regional Climate Projection Dataset


The citation for this dataset is:
NISHIMORI, Motoki. (2019). NARO2017 Regional Climate Projection Dataset [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.568
Select citation format:

IDENTIFICATION INFORMATION

Name NARO2017 Regional Climate Projection Dataset
Edition Version 2.7r
Abbreviation NARO2017-V2.7r
DOI doi:10.20783/DIAS.568
Metadata Identifier SICAT_SDS_1kmJP_NARO2017_V2_7r20200901184255-DIAS20200901154929-en

CONTACT

CONTACT on DATASET

Name NISHIMORI, Motoki
Organization NIAES/NARO
Address 3-1-3, Kan'nondai, Tsukuba, Ibaraki, 305-8604, Japan
TEL +81-29-838-8236
E-mail mnishi@affrc.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 NISHIMORI, Motoki
Organization NIAES/NARO
E-mail mnishi@affrc.go.jp

DATASET CREATOR

Name NISHIMORI, Motoki
Organization NIAES/NARO
E-mail mnishi@affrc.go.jp

DATE OF THIS DOCUMENT

2020-09-01

DATE OF DATASET

  • creation : 2019-09-30

DATASET OVERVIEW

Abstract

The NARO2017 regional climate change scenario has agro-meteorological elements such as solar radiation, relative humidity, and surface wind speed, which are few examples in common climate scenarios across fields so far.

The variance of climate model output with small daily and annual fluctuations is matched by observational statistics. It is a climate scenario that can certainly apply with climate extremes.

*Attention!: Please understand that after you have applied for use on DIAS, you may receive an additional application from the National Agriculture and Food Research Organization (NARO).

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1970-01-01
End Date 2100-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 46
West bound longitude 122
Eastbound longitude 146
South bound latitude 22

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 1920 0.0125 (deg)
column 2640 0.008333333 (deg)
time 1-day (day)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme GLOBAL CHANGE > Regional climate change 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

Please use this version2_7r dataset for climate impact assessment hereafter. The Version2_2 with the same name is an older version developed in 2017 and it tends to further overestimate higher temperatures.

Distribution Information

name version specification
NetCDF Version 4 CF1.6

DATA PROCESSING

General Explanation of the data producer's knowledge about the lineage of a dataset

The variance of climate model output, which fluctuates daily and year by year, is in line with the observation statistics.

Data Processing

Data Source Citation Name Description of derived parameters and processing techniques used

CMIP5

IPCC_WGI-AR5

LICENSE

Data Policy by the Data Provider

This data set is available only for non-commercial use.

*Attention!: Please understand that after you have applied for use on DIAS, you may receive an additional application from the National Agriculture and Food Research Organization (NARO).

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

Nishimori, M., Y. Ishigooka, T. Kuwagata, T. Takimoto and N. Endo (2019): SI-CAT 1km-grid square Regional Climate Projection Scenario Dataset for Agricultural Use (NARO2017). Journal of The Japan Society for Simulation Technology, 38, 150-154 (in Japanese with English title).


Copyright(c) 2006-2020 Data Integration & Analysis System (DIAS) All Rights Reserved.
This project is supported by " Data Integration & Analysis System " funded by MEXT, Japan
Copyright © 2009-2021 DIAS All Rights Reserved.
DIAS Terms of ServiceDIAS Privacy Policy