Future scenarios data on crop yields


The citation for this dataset is:
Toshichika Iizumi. (2017). Future scenarios data on crop yields [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.529
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IDENTIFICATION INFORMATION

Name Future scenarios data on crop yields
DOI doi:10.20783/DIAS.529
Metadata Identifier I17SR_crop_yields20181216230121-DIAS20180903143952-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 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 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

2018-12-16

DATE OF DATASET

  • publication : 2017-08-10

DATASET OVERVIEW

Abstract

The grid-cell yield data available in this dataset are estimated using the global gridded crop model CYGMA and the assumptions on future climate and socioeconomy. The Shared Socioeconomic Pathways (SSP) 1, 2 and 3 are used as the assumptions on socioeconomy. Four different Representative Concentration Pathways (RCP) are used to account for the CO2 fertilization effect on yields. Future climate conditions are based on the bias-corrected CMIP5 GCM outputs. The data for maize, rice, wheat and soybean for the period 1961-2100 are available at the 0.5-degree resolution. Only spring wheat is consisdered. The yield data are available for each of irrigated and rainfed conditions. Also the yield data are available for areas where currently cultivation is not conducted. This allows users to calculate national average yield using user's own irrigation scenarios.

Topic Category(ISO19139)

  • farming

Temporal Extent

Begin Date 1961-01-01
End Date 2100-01-01
Temporal Characteristics Annual

Geographic Bounding Box

North bound latitude 90
West bound longitude 0
Eastbound longitude 360
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 [Agriculture ] > [Agricultural Plant Science ] > [Crop/Plant Yields ] 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

The I17SR crop yield dataset are generated by using the global gridded crop model CYGMA and high-yielding technology under SSP and bias-corrected CMIP5 GCM outputs.

USE CONSTRAINTS

Data Policy by Data Provider

The reference (Iizumi et al., 2017, doi:10.1038/s41598-017-08214-4) should be cited when the dataset is used.

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]

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[*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.

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ACKNOWLEDGEMENT

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)."

REFERENCES

Iizumi, T., Furuya, J., Shen, Z., Kim, W., Okada, M., Fujimori, S., Hasegawa, T. and Nishimori, M. (2017) Responses of crop yield growth to global temperature and socioeconomic changes. Scientific Reports, 7, 7800, doi:10.1038/s41598-017-08214-4.


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