Articles | Volume 9, issue 8
Development and technical paper
10 Aug 2016
Development and technical paper |  | 10 Aug 2016

Background error covariance with balance constraints for aerosol species and applications in variational data assimilation

Zengliang Zang, Zilong Hao, Yi Li, Xiaobin Pan, Wei You, Zhijin Li, and Dan Chen


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zengliang Zang on behalf of the Authors (09 Jun 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Jun 2016) by Adrian Sandu
RR by Anonymous Referee #2 (10 Jul 2016)
ED: Publish as is (11 Jul 2016) by Adrian Sandu
Short summary
The aerosol data assimilation and forecasts can be improved by adopting balance constraints that spread observation information across variables, thus producing balanced initial distributions. Surface and aircraft aerosol observations were assimilated to demonstrate the impact of the balance constraints. The results showed that the forecasting experiment with balance constraints is more skillful and durable than the experiment without balance constraints.