Articles | Volume 13, issue 7
https://doi.org/10.5194/gmd-13-3145-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-3145-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
13 Jul 2020
Development and technical paper |
| 13 Jul 2020
| 13 Jul 2020
An ensemble Kalman filter data assimilation system for the whole neutral atmosphere
Department of Earth and Planetary Science, The University of Tokyo, Tokyo, Japan
Kaoru Sato
Department of Earth and Planetary Science, The University of Tokyo, Tokyo, Japan
Kazuyuki Miyazaki
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Shingo Watanabe
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
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- Numerical Simulation of Orographic Gravity Waves Observed Over Syowa Station: Wave Propagation and Breaking in the Troposphere and Lower Stratosphere M. Kohma et al. 10.1029/2023JD039425
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- Characteristics of the Intraseasonal Oscillation in the Equatorial Mesosphere and Lower Thermosphere Region Revealed by Satellite Observation and Global Analysis by the JAGUAR Data Assimilation System D. Koshin et al. 10.1029/2022JD036816
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- Structure, Trend and Variability of the Semiannual Oscillation in the Equatorial Middle Atmosphere in JRA-3Q and in Satellite Observations K. SHIBATA & H. NAOE 10.2151/jmsj.2025-017
- Contribution of Gravity Waves to Universal Vertical Wavenumber (∼m−3) Spectra Revealed by a Gravity‐Wave‐Permitting General Circulation Model H. Okui et al. 10.1029/2021JD036222
- Interhemispheric Coupling Study by Observations and Modelling (ICSOM): Concept, Campaigns, and Initial Results K. Sato et al. 10.1029/2022JD038249
- Formation of a Mesospheric Inversion Layer and the Subsequent Elevated Stratopause Associated With the Major Stratospheric Sudden Warming in 2018/19 H. Okui et al. 10.1029/2021JD034681
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Latest update: 23 Apr 2025
Short summary
A new data assimilation system with a 4D local ensemble transform Kalman filter for the whole neutral atmosphere is developed using a T42L124 general circulation model. A conventional observation dataset and bias-corrected satellite temperature data are assimilated. After the improvements of the forecast model, the assimilation parameters are optimized. The minimum optimal number of ensembles is also examined. Results are evaluated using the reanalysis data and independent radar observations.
A new data assimilation system with a 4D local ensemble transform Kalman filter for the whole...
