Crop yields under historical and non-warming climate conditions


1. IDENTIFICATION INFORMATION

Name Crop yields under historical and non-warming climate conditions
DOI doi:10.20783/DIAS.545
Metadata Identifier d4PDF_crop_yields20230727093758-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, Japan
TEL 029-838-8435
E-mail iizumit@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-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

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

4. DATASET CREATOR

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

5. DATE OF THIS DOCUMENT

2023-07-27

6. DATE OF DATASET

  • publication : 2018-07-23

7. DATASET OVERVIEW

7.1 Abstract

The grid-cell yield data available in this dataset are estimated using the global gridded crop model CYGMA and the assumptions on historical and non-warming climate conditions. The CO2 fertilization is considered when simulating yields under the historical climate condition. The climate inputs to the CYGMA model were derived from the historical and non-warming counterfactual climate simulations using the MRI-AGCM3.2 and used after bias-correction. The data for maize, rice, wheat and soybean for the period 1961-2010 are available at the 0.5-degree resolution. The unit of yield data is tonnes per hectare. 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.

7.2 Topic Category(ISO19139)

  • farming

7.3 Temporal Extent

Begin Date 1961-01-01
End Date 2010-01-01
Temporal Characteristics Annual

7.4 Geographic Bounding Box

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

7.5 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)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Agriculture > Agricultural Plant Science > Crop/Plant Yields GCMD_science

7.7.2 Keywords on Project

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

7.8 Online Resource

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
NetCDF 4

8. DATA PROCESSING

8.1 Data Processing (1)

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

Yields under irrigated and rainfed conditions were computed and then averaged using the extent of irrigated and rainfed areas as the weights.

8.1.2 Data Source

Data Source Citation Name Description of derived parameters and processing techniques used

9. DATA REMARKS

10. DATA POLICY

10.1 Data Policy by the Data Provider

Users are asked to cite the reference (Iizumi et al., 2018) 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's policy shall prevail.

11. LICENSE

12. DATA SOURCE ACKNOWLEDGEMENT

12.1 Acknowledge the Data Provider

The original d4PDF database was produced under the SOUSEI programme sponsored by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT).

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 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. "

13. REFERENCES

Iizumi T, Shiogama H, Imada Y, Hanasaki N, Takikawa H, Nishimori M (2018) Crop production losses associated with anthropogenic climate change for 1981–2010 compared with preindustrial levels. International Journal of Climatology (accepted 23 July 2018).