An assessment of the impact of ATMS and CrIS data assimilation on precipitation prediction over the Tibetan Plateau

Xue, Tong; Xu, Jianjun; Guan, Zhaoyong; Chen, Han-Ching; Chiu, Long S.; Shao, Min

doi:https://doi.org/10.5194/amt-10-2517-2017

Articles | Volume 10, issue 7

https://doi.org/10.5194/amt-10-2517-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-10-2517-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 7

Research article

|

19 Jul 2017

Research article |

| 19 Jul 2017

An assessment of the impact of ATMS and CrIS data assimilation on precipitation prediction over the Tibetan Plateau

Tong Xue, Jianjun Xu, Zhaoyong Guan, Han-Ching Chen, Long S. Chiu, and Min Shao

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Final revised paper (published on 19 Jul 2017)
Preprint (discussion started on 27 Feb 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'first review', Anonymous Referee #1, 21 Mar 2017
- AC1: 'Reply for comment#1 on “An Assessment of the Impact of ATMS and CrIS Data Assimilation on Precipitation Prediction over the Tibetan Plateau”', Tong Xue, 07 Apr 2017
RC2: 'Reviewer comments', Anonymous Referee #2, 24 Mar 2017
- AC2: 'Reply for comment#2 on “An Assessment of the Impact of ATMS and CrIS Data Assimilation on Precipitation Prediction over the Tibetan Plateau”', Tong Xue, 07 Apr 2017
RC3: 'review comments', Anonymous Referee #3, 12 Apr 2017
- AC3: 'Reply for comment#3 on “An Assessment of the Impact of ATMS and CrIS Data Assimilation on Precipitation Prediction over the Tibetan Plateau”', Tong Xue, 21 Apr 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Tong Xue on behalf of the Authors (07 May 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (12 May 2017) by Mark Kulie

RR by Anonymous Referee #2 (23 May 2017)

ED: Publish subject to minor revisions (Editor review) (05 Jun 2017) by Mark Kulie

AR by Tong Xue on behalf of the Authors (07 Jun 2017) Author's response Manuscript

ED: Publish as is (16 Jun 2017) by Mark Kulie

AR by Tong Xue on behalf of the Authors (18 Jun 2017)

Short summary

In this study, we used diagnostic methods to analyze the impact of data assimilation on the monthly precipitation distribution over the Tibetan Plateau and then focused on one heavy-rainfall case study that occurred from 3 to 6 July 2015. It is conspicuous that the ATMS assimilation showed better performance than the control experiment, conventional assimilation, and CrIS assimilation. Overall, the satellite data assimilation can enhance the WRF-ARW model’s ability to predict precipitation.