# Toward High-Resolution Regional Atmospheric Reanalysis for Japan: An Overview of the ClimCORE Project

**Year:** 2022  
**Pages:** 6153-6158  
**DOI Bookmark:** [10.1109/BigData55660.2022.10020656](https://doi.ieeecomputersociety.org/10.1109/BigData55660.2022.10020656)

#### Authors

- [Hisashi Nakamura](/content/csdl/search/default?type=author&givenName=Hisashi&surname=Nakamura/index.html), The University of Tokyo, Research Center for Advanced Science and Technology, Japan  
- [Kenichi Kuma](/content/csdl/search/default?type=author&givenName=Kenichi&surname=Kuma/index.html), The University of Tokyo, Research Center for Advanced Science and Technology, Japan  
- [Kazutoshi Onogi](/content/csdl/search/default?type=author&givenName=Kazutoshi&surname=Onogi/index.html), The University of Tokyo, Research Center for Advanced Science and Technology, Japan  
- [Takafumi Miyasaka](/content/csdl/search/default?type=author&givenName=Takafumi&surname=Miyasaka/index.html), The University of Tokyo, Research Center for Advanced Science and Technology, Japan  
- [Yasutaka Makihara](/content/csdl/search/default?type=author&givenName=Yasutaka&surname=Makihara/index.html), The University of Tokyo, Research Center for Advanced Science and Technology, Japan  
- [Junichi Ishida](/content/csdl/search/default?type=author&givenName=Junichi&surname=Ishida/index.html), Japan Meteorological Agency, Japan  
- [Makoto Iida](/content/csdl/search/default?type=author&givenName=Makoto&surname=Iida/index.html), The University of Tokyo, Research Center for Advanced Science and Technology, Japan

#### Abstract

An overview is provided of on-going production of regional atmospheric reanalysis data RRJ-ClimCORE for Japan and its surrounding maritime domain. The data can reproduce the past atmospheric conditions four-dimensionally with high spatial and temporal resolutions, through assimilating fine-resolution observational data into a state-of-the-art operational regional forecast system. The reanalysis data will have wide-ranging potential applications in society, including disaster prevention and risk management planning, and system designing for renewable energy through deep learning.

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