| |
| Name | NARO2017 Regional Climate Projection Dataset (older version) |
| Edition | Version 2.2 |
| Abbreviation | NARO2017-V2.2 |
| DOI | doi:10.20783/DIAS.567 |
| Metadata Identifier | SICAT_SDS_1kmJP_NARO2017_V2_220230727094657-DIAS20221121113753-en |
| Name | NISHIMORI, Motoki |
|---|---|
| Organization | NIAES/NARO |
| Address | 3-1-3, Kan'nondai, Tsukuba, Ibaraki, 305-8604, Japan |
| TEL | +81-29-838-8236 |
| mnishi@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 | NISHIMORI, Motoki |
|---|---|
| Organization | NIAES/NARO |
| mnishi@affrc.go.jp |
| Name | NISHIMORI, Motoki |
|---|---|
| Organization | NIAES/NARO |
| mnishi@affrc.go.jp |
creation : 2017-12-28
The NARO2017 regional climate change scenario has agro-meteorological elements such as solar radiation, relative humidity, and surface wind speed, which are few examples in common climate scenarios across fields so far.
The variance of climate model output with small daily and annual fluctuations is matched by observational statistics. It is a climate scenario that can certainly apply with climate extremes.
Attention!!: In principle, this data set is not available for the previous version. If you have provided the same data from different sources in the past and need to recalculate for confirmation, you will only be allowed to use it for 30 days.
climatologyMeteorologyAtmosphere
| Begin Date | 1970-01-01 |
| End Date | 2100-12-31 |
| Temporal Characteristics | Daily |
| North bound latitude | 46 |
| West bound longitude | 122 |
| Eastbound longitude | 146 |
| South bound latitude | 22 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 1920 | 0.0125 (deg) |
| column | 2640 | 0.008333333 (deg) |
| time | 1-day (day) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | GLOBAL CHANGE > Regional climate change | AGU |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | DIAS > Data Integration and Analysis System | No_Dictionary |
File download : https://data.diasjp.net/dl/storages/filelist/dataset:567
Please use the other version2_7r dataset for climate impact assessment hereafter. This Version2_2 with the same name is an older version developed in 2017 and it tends to further overestimate higher temperatures.
| name | version | specification |
|---|---|---|
| NetCDF | Version 4 | CF1.6 |
The variance of climate model output, which fluctuates daily and year by year, is in line with the observation statistics.
| Data Source Citation Name | Description of derived parameters and processing techniques used |
|---|---|
|
CMIP5 |
IPCC_WGI-AR5 |
This data is an older version. It will not be available in the future.
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If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
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. "
Nishimori, M., Y. Ishigooka, T. Kuwagata, T. Takimoto and N. Endo (2019): SI-CAT 1km-grid square Regional Climate Projection Scenario Dataset for Agricultural Use (NARO2017). Journal of The Japan Society for Simulation Technology, 38, 150-154 (in Japanese with English title).