Name | Statistical DownScaling Data for Hokkaido |
Edition | 1.0 |
Abbreviation | SDS Data for Hokkaido |
DOI | doi:10.20783/DIAS.566 |
Metadata Identifier | HOKKAIDO_1kmSDS_SICAT20230727094617-DIAS20221121113753-en |
Name | Nakatsugawa Makoto |
---|---|
Organization | Muroran Institute of Technology |
mnakatsu@mmm.muroran-it.ac.jp |
Name | Ueda Seiya |
---|---|
Organization | Japan Weather Association |
ueda.seiya@jwa.or.jp |
Name | Ueda Seiya |
---|---|
Organization | Japan Weather Association |
ueda.seiya@jwa.or.jp |
This dataset provides statistically downscaled data, which is high-resolution hydrological information, that will allow cold, snowy regions Hokkaido, which could be significantly affected by climate change, to investigate measures for adapting to climate change. MRI-NHRCM20, a climate model with 20-km spatial resolution, was used for the climate change forecast data.
North bound latitude | 45.529167 |
West bound longitude | 139.331250 |
Eastbound longitude | 146.918750 |
South bound latitude | 41.337500 |
Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
---|---|---|
row | 505 | 0.5 (minute) |
column | 574 | 0.75 (minute) |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | Japan, Hokkaido, Statistical DownScaling, daily | others |
Social Implementation Program on Climate Change Adaptation Technology (SI-CAT) : https://si-cat.jp/
file download : https://data.diasjp.net/dl/storages/filelist/dataset:566
MRI-NHRCM20 was used for climate change prediction data. DSJRA-55, JMA mesh average, and JMA analytical rainfall were used for bias correction.
Please refer to Ueda et al. (2019) for more information.
1.This dataset is available to all academic institutions and researchers. No commercial use of the data is allowed.
2.This dataset shall not be redistributed as a whole or in part to the general public through the Internet or other means.
3.If you want to release secondary products using this dataset on your website or through other means, you must contact us for permission.
4.Papers or written scientific works of any form based in whole or in part on this dataset shall contain an acknowledgement.
5. In no event will we be liable for any loss or damage resulting from the use of this dataset.
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.
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. "