database for Policy Decision making for Future climate change (dynamical downscaling over Japan)


IDENTIFICATION INFORMATION

Name database for Policy Decision making for Future climate change (dynamical downscaling over Japan)
Metadata Identifier d4PDF_RCM20181216220901-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

Name d4PDF support team
Organization Program for Risk Information on Climate Change
E-mail d4pdf-support@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 osamu arakawa
Organization Program for Risk Information on Climate Change
E-mail arakawa.osamu@jamstec.go.jp

DATASET CREATOR

Name osamu arakawa
Organization Program for Risk Information on Climate Change
E-mail arakawa.osamu@jamstec.go.jp

DATE OF THIS DOCUMENT

2018-12-16

DATE OF DATASET

  • publication : 2015-12-21

DATASET OVERVIEW

Abstract

(1) This is the dataset simulated by high resolution atmospheric model of which horizontal resolution is 60km-mesh over the globe (GCM), and 20km over Japan and surroundings (RCM), respetively. The climate of the latter half of the 20th century is simulated for 6000 years (3000 years for the Japan area), and the climates 2K (*) and 4 K warmer than the pre-industrial climate are simulated for 3240 and 5400 years, respectivley, to see the effect of global warming.

(2) Huge number of ensembles enable not only with statistics but also with high accuracy to estimate the future change of extreme events such as typoons and localized torrential downpours. In addtion, this dataset provides the highly reliable information on the impact of natural disasters due to climate change on future societies.

(3) This dataset provides the climate projections which adaptations against global warming are based on in various fields, for example, disaster prevention, urban planning, environmetal protection, and so on. It would realize the global warming adaptations consistent not only among issues but also among regions.

(4) Total size of this dataset is 3 PB (3 × the 15th power of 10 bytes).

(*) Datasets of the climates 2K warmer than the pre-industorial climate (d4PDF 2K) is available on 10th August, 2018.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1950-09-01
End Date 2010-08-31
Temporal Characteristics Hourly

Geographic Bounding Box

North bound latitude 40
West bound longitude 105
Eastbound longitude 170
South bound latitude 15

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 191 20 (km)
column 155 20 (km)
vertical 40 unequally spaced levels (m)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme GLOBAL CHANGE > Regional climate change AGU
theme Models > GCM GCMD_platform

Keywords on Project

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

Online Resource

Distribution Information

name version specification
grib 1

USE CONSTRAINTS

Data Policy by Data Provider

DATA RELEASE POLICY OF DATABASE FOR POLICY DECISION MAKING FOR FUTURE CLIMATE CHANGE (d4PDF)

The database called d4PDF (database for Policy Decision making for Future climate change) was produced by the joint project of Meteorological Research Institute of Japan Meteorological Agency, Atmosphere and Ocean Research Institute of University of Tokyo, Disaster Prevention Research Institute of Kyoto University, National Institute of Environmental Study, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), and University of Tsukuba, under the support of the Program for Risk Information on Climate Change (SOUSEI, FY2012-2016), the Social Implementation Program on Climate Change Adaptation Technology (SI-CAT, FY2015-2019), 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 database under "Strategic Project with Special Support" of JAMSTEC. Users can access d4PDF 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 the database for policy decision making for future climate change (d4PDF) which was produced with the Earth Simulator under corporations among science programs (SOUSEI, TOUGOU, SI-CAT, DIAS) sponsored by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

4. Individual users provide the joint project members (email to d4pdf-support@jamstec.go.jp) a copy of their scientific or technical papers, publications, press releases or other communications in case of using the data (recommended).

Disclaimer

The joint project members are not responsible for any damage that may result from their use.

Intellectual property

The intellectual property rights of the database belong exclusively to the joint project members.

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

Dataset Acknowledgement

This study used d4PDF produced with the Earth Simulator jointly by science programs (SOUSEI, TOUGOU, SI-CAT, DIAS) of the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

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)."


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This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan
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