Extreme temperatureand precipitation indices
1. IDENTIFICATION INFORMATION
Name

Extreme temperature and precipitation indicesDOI

doi:10.20783/DIAS.525 [https://doi.org/10.20783/DIAS.525]

Metadata
Identifier

extreme_indices20230727092927-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASETNameToshichika Iizumi

Organization

Institute for Agro-Environmental Sciences, National Agriculture and Food
Research Institute

Address

3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, JapanTEL

029-838-8435

E-mailiizumit@affrc.go.jp

2.2 CONTACT on PROJECT
2.2.1 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-maildias-office@diasjp.net

3. DOCUMENT AUTHOR
Name

Toshichika Iizumi

Organization

Institute for Agro-Environmental Sciences, National Agriculture and Food
Research InstituteE-mailiizumit@affrc.go.jp

4. DATASET CREATOR
Name

Toshichika Iizumi

1Organization

Institute for Agro-Environmental Sciences, National Agriculture and Food
Research InstituteE-mailiizumit@affrc.go.jp

5. DATE OF THIS DOCUMENT
2023-07-27

6. DATE OF DATASET
�creation : 2017-08-08

7. DATASET OVERVIEW
7.1 Abstract
The climate_indices dataset offers 15 temperaure and 12 precipitation extreme indices calculatedusing S14FD retrospective meteorological forcing dataset and CMIP5_CDFDM_S14FD bias-corrected CMIP5
GCM outputs from 1958 to 2100.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1958-01-01

End Date

2100-12-31

Temporal
Characteristics

annual. (monthly data are aveilable for some indiceas)

7.4 Geographic Bounding BoxNorthlatitude

bound 90

Westlongitude

bound -180Eastboundlongitude

180

South
latitudebound -90

7.5 GridDimension NameDimension
Size Resolution Unit
(slice number ofthe dimension)column720

0.5 (deg)

row

360

0.5 (deg)2

vertical

11 (level)

7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

KeywordName

thesaurus

theme

Climate Indicators > Terrestrial Hydrosphere Indicators

GCMD_science

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis System
Keyword Type

Keyword

KeywordName

thesaurus

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource
�File download from DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:525

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

NetCDF

4specification

8. DATA PROCESSING
8.1 Data Processing (1)8.1.1 General Explanation of the data producer's knowledge about thelineage of a dataset
The 15 temperature indices and 12 precipitation indices are calculated using S14FD retrospective
meteorological forcing dataset and CMIP5_CDFDM_S14FD bias-corrected CMIP5 GCM outputs.

8.1.2 Data Source
Data Source Citation NameDescription of derived parameters and processing
techniques used3

9. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider
The reference (Iizumi et al., 2017) should be cited when the dataset is used.

10.2 Data Policy by the Project
10.2.1 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'spolicy shall prevail.

11. LICENSE
12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
Please consider citing the following DOI when this dataset was used.
doi:10.20783/DIAS.525

12.2 Acknowledge the Project
12.2.1 Data Integration and Analysis System
If you plan to use this dataset for a conference presentation, paper, journal article, or reportetc., 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 wasdeveloped and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. REFERENCES
Iizumi, T., H. Takikawa, Y. Hirabayashi, N. Hanasaki, and M. Nishimori, 2017: Contributions ofdifferent bias-correction methods and reference meteorological forcing data sets to uncertainty
in projected temperature and precipitation extremes. Journal of Geophysical Research-Atmospheres,doi: 10.1002/2017JD026613.

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