| |
| Name | NARO2017 Regional Climate Projection Dataset |
| Edition | Version 2.7r |
| Abbreviation | NARO2017-V2.7r |
| DOI | doi:10.20783/DIAS.568 |
| Metadata Identifier | SICAT_SDS_1kmJP_NARO2017_V2_7r20200901184255-DIAS20200901154929-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 | Remote Sensing Technology Center of Japan |
| Address | TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, 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 : 2019-09-30
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!: Please understand that after you have applied for use on DIAS, you may receive an additional application from the National Agriculture and Food Research Organization (NARO).
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:568
Please use this version2_7r dataset for climate impact assessment hereafter. The 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 set is available only for non-commercial use.
*Attention!: Please understand that after you have applied for use on DIAS, you may receive an additional application from the National Agriculture and Food Research Organization (NARO).
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.
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.
"We used the [name of dataset] provided by [name of data provider] in this study. This dataset was collected and provided under the Data Integration and Analysis System (DIAS, Project No. JPMXD0716808999), which has been developed and operated by the Ministry of Education, Culture, Sports, Science and Technology (MEXT)."
If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/policy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
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).
| Copyright(c) 2006-2020 Data Integration & Analysis System (DIAS) All Rights Reserved. |
| This project is supported by " Data Integration & Analysis System " funded by MEXT, Japan |