| |
| Name | Future scenarios data on crop yields |
| DOI | doi:10.20783/DIAS.529 |
| Metadata Identifier | I17SR_crop_yields20230727093202-DIAS20221121113753-en |
| 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 |
| iizumit@affrc.go.jp |
| 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 |
| dias-office@diasjp.net |
| Name | Toshichika Iizumi |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
| iizumit@affrc.go.jp |
| Name | Toshichika Iizumi |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
| iizumit@affrc.go.jp |
publication : 2017-08-10
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.
farming
| Begin Date | 1961-01-01 |
| End Date | 2100-01-01 |
| Temporal Characteristics | Annual |
| North bound latitude | 90 |
| West bound longitude | -180 |
| Eastbound longitude | 180 |
| South bound latitude | -90 |
| 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) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | Agriculture > Agricultural Plant Science > Crop/Plant Yields | GCMD_science |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | DIAS > Data Integration and Analysis System | No_Dictionary |
File download from DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:529
| name | version | specification |
|---|---|---|
| NetCDF | 4 |
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.
The reference (Iizumi et al., 2017, doi:10.1038/s41598-017-08214-4) should be cited when the dataset is used.
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" 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. "
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.