NICAM–LETKF JAXA Research Analysis (NEXRA) Version 2.0
ABSTRACT The NICAM–LETKF JAXA Research Analysis (NEXRA) version 2.0 has been released on the JAXA‐NEXRA Analysis website. This dataset is produced using the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) and the Local Ensemble Transform Kalman Filter (LETKF)‐based atmospheric data assimilation system. The system assimilates in situ atmospheric observations, satellite data, and satellite‐derived precipitation data into global atmospheric simulations. NEXRA provides a 128‐member ensemble surface output (2D) and an analysis of ensemble mean and spread (3D) covering the period from January 2019 to June 2024. This dataset supports ensemble studies in geoscience research and serves practical applications, including initial conditions for hindcast simulations with atmospheric models, boundary conditions for ocean and land models, and investigations into spatiotemporal variations in atmospheric variability.
Authors
- Masaki Satoh (ORCID: https://orcid.org/0000-0003-3580-8897)
- Takemasa Miyoshi (ORCID: https://orcid.org/0000-0003-3160-2525)
- Hisashi Yashiro (ORCID: https://orcid.org/0000-0002-2678-526X)
- Ying‐Wen Chen (ORCID: https://orcid.org/0000-0002-3036-6690)
- Shunji Kotsuki (ORCID: https://orcid.org/0000-0002-0717-9192)
- Kaya Kanemaru (ORCID: https://orcid.org/0000-0003-0352-323X)
- Shuhei Matsugishi (ORCID: https://orcid.org/0000-0003-0590-4343)
- Koji Terasaki (ORCID: https://orcid.org/0000-0003-3377-5462)
- Kosuke Yamamoto (ORCID: https://orcid.org/0000-0002-9646-0313)
- Takuji Kubota (ORCID: https://orcid.org/0000-0003-0282-1075)
Institutions
- Chiba University (JP)
- Yokohama National University (JP)
- National Institute for Environmental Studies (JP)
- Japan Aerospace Exploration Agency (JP)
- Japan Meteorological Agency (JP)
- Pioneer (Japan) (JP)
- RIKEN Center for Computational Science (JP)
- Meteorological Research Institute (JP)
- The University of Tokyo (JP)
- National Institute of Information and Communications Technology (JP)
Publication Details
- Journal
- Geoscience Data Journal
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1002/gdj3.70011
- Citations
- 1
- Primary Topic
- Meteorological Phenomena and Simulations
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- Foundation for Computational Science
- Ministry of Education, Culture, Sports, Science and Technology
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Japan Aerospace Exploration Agency
- RIKEN
- Core Research for Evolutional Science and Technology
- Strategic International Collaborative Research Program