Articles | Volume 13, issue 7
Geosci. Model Dev., 13, 3145–3177, 2020
https://doi.org/10.5194/gmd-13-3145-2020
Geosci. Model Dev., 13, 3145–3177, 2020
https://doi.org/10.5194/gmd-13-3145-2020

Development and technical paper 13 Jul 2020

Development and technical paper | 13 Jul 2020

An ensemble Kalman filter data assimilation system for the whole neutral atmosphere

Dai Koshin et al.

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Latest update: 26 Oct 2021
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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.