S14 global meteorological forcing dataset


Citation for this dataset
Toshichika Iizumi. (2017). S14 global meteorological forcing dataset [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.523
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IDENTIFICATION INFORMATION

Name S14 global meteorological forcing dataset
DOI doi:10.20783/DIAS.523
Metadata Identifier S14FD20221122152056-DIAS20221121113753-en

CONTACT

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, Japan
TEL 029-838-8435
E-mail iizumit@affrc.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 Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATASET CREATOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATE OF THIS DOCUMENT

2022-11-22

DATE OF DATASET

  • creation : 2017-08-08

DATASET OVERVIEW

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 bias-corrected (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 total precipitation (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).

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1958-01-01
End Date 2013-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 90
West bound longitude -180
Eastbound longitude 180
South bound latitude -90

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
column 720 0.5 (deg)
row 360 0.5 (deg)
vertical 1 1 (level)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Atmosphere ] GCMD_science

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
NetCDF 4

DATA PROCESSING

Data Processing (1)

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

S14FD retrospective meteorological forcing dataset is based based on JRA-55 reanalysis data.

DATA POLICY

Data Policy by the Data Provider

The reference (Iizumi et al., 2017) should be cited when the dataset is used.

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 Data Provider

Please consider citing the following DOI when this dataset was used.

doi:10.20783/DIAS.523

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., H. Takikawa, Y. Hirabayashi, N. Hanasaki, and M. Nishimori, 2017: Contributions of different 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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