S14 global meteorologicalforcing dataset
1. IDENTIFICATION INFORMATIONName

S14 global meteorological forcing dataset

DOI

doi:10.20783/DIAS.523 [https://doi.org/10.20783/DIAS.523]

Metadata
Identifier

S14FD20240726074538-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASET
Name

Toshichika 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

Organization

Institute for Agro-Environmental Sciences, National Agriculture and Food
Research Institute1

E-mailiizumit@affrc.go.jp

5. DATE OF THIS DOCUMENT
2024-07-26

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

7. DATASET OVERVIEW
7.1 Abstract
The S14 retrospecitive meteorological forcing dataset (S14FD) offers daily data of 11 climatic
variables over the globe from 1958 to 2013. The data over the sea and Antarctica are not biascorrected (i.e., the raw data of the JRA-55 reanalysis were used), whereas those over the land
are bias-corrected. Variables include daily mean 2m air temperature (tave2m, °C), daily maximum
2m air temperature (tmax2m, °C), daily minimum 2m air temperature (tmin2m, °C), daily totalprecipitation (precsfc, mm d-1), daily mean downward shortwave radiation flux (dswrfsfc, W m-2),
daily mean downward longwave radiation flux (dlwrfsfc, W m-2), daily mean 2m relative humidity(rh2m, %), daily mean 2m specific humidity (spfh2m, kg kg-1), daily mean 2m vapor pressure (vap2m,hPa), daily mean 10m wind speed (wind10m, m s-1) and daily mean surface pressure (pressfc, hPa).

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1958-01-01End Date2013-12-31

Temporal
Characteristics

Daily

7.4 Geographic Bounding Box
Northlatitudebound 90

Westlongitude

bound -180

Eastboundlongitude

180

South
latitudebound -90

7.5 Grid
Dimension NameDimension
Size Resolution Unit
(slice number ofthe dimension)2column

720

0.5 (deg)

row

360

0.5 (deg)

vertical1

1 (level)

7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

KeywordName

thesaurus

theme

Atmosphere

GCMD_science

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

Keyword

KeywordNamethesaurus

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:523

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

NetCDF4

specification

8. DATA PROCESSING
8.1 Data Processing (1)8.1.1 General Explanation of the data producer's knowledge about thelineage of a dataset
S14FD retrospective meteorological forcing dataset is based based on JRA-55 reanalysis data.

8.1.2 Data Source
Data Source Citation Name

Description 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.523

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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