| Name | Long-Term Regional Reanalysis for Japan with Assimilating Conventional Observations |
| Abbreviation | RRJ-Conv |
| DOI | doi:10.20783/DIAS.646 |
| Metadata Identifier | RRJ_Conv20240718192215-DIAS20221121113753-en |
| Name | FUKUI Shin |
|---|---|
| Organization | Meteorological Research Institute |
| Name | IWASAKI Toshiki |
|---|---|
| Organization | Tohoku Univ. |
An atmospheric long-term regional reanalysis assimilating conventional observations that covers Japan with horizontal grid spacing of 5 km
| North bound latitude | 48.8 |
| West bound longitude | 107.5 |
| Eastbound longitude | 156.1 |
| South bound latitude | 19.7 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 721 | 5 (km) |
| column | 577 | 5 (km) |
| vertical | 17 | 25-100 (hPa) |
| time | 1, 6 (hour) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | Atmosphere > Precipitation > Precipitation Amount, Atmosphere > Atmospheric Pressure > Sea Level Pressure, Atmosphere > Atmospheric Temperature > Surface Air Temperature | GCMD_science |
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Application for use (Data download) : https://data.diasjp.net/dl/storages/filelist/dataset:646
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About RRJ-Conv : https://wind.gp.tohoku.ac.jp/rrj-conv
Users shall not download or use this dataset in whole or in part without express consent from Tohoku University and the JMA Meteorological Research Institute. Users shall accept the terms and conditions specified below and receive authorization.
(1) This dataset is restricted to use for research related to long-term reanalysis methodology, climate variability, global warming, extreme events, weather affected by changing climate, and applications of long-term reanalysis, etc. Users may not be used for any other purpose (commercial, advertising, sales, etc.).
(2) Users may not distribute this dataset to third parties, except in the case of commissioning research using this data.
(3) Users shall collect the data shared with the third parties for the purpose of commissioning of research, after the commissioning has been completed.
(4) Users shall explicitly state the use of Long-Term Regional Reanalysis for Japan with Assimilating Conventional Observations (RRJ-Conv) produced by Tohoku University and the JMA Meteorological Research Institute in any scientific or technical papers, publications, press releases or other communications relating to the results obtained using this dataset.
(5) Before publishing the results obtained using this dataset, users shall provide the publications for Tohoku University and the JMA Meteorological Research Institute.
(6) Users shall submit a report to Tohoku University and the JMA Meteorological Research Institute that gives an overview of the results obtained using this dataset, within one year of being granted access to this dataset.
(7) Users shall follow other instructions by Tohoku University and the JMA Meteorological Research Institute.
[Disclaimer]
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Fukui, S., T. Iwasaki, K. Saito, H. Seko, and M. Kunii, 2018: A feasibility study on the high-resolution regional reanalysis over Japan assimilating only conventional observations as an alternative to the dynamical downscaling. J. Meteor. Soc. Japan, 96, 565-585, DOI:10.2151/jmsj.2018-056.