Remapping annual precipitation in mountainous areas based on vegetation patterns: a case study in the Nu River basin

Zhou, Xing; Ni, Guang-Heng; Shen, Chen; Sun, Ting

doi:https://doi.org/10.5194/hess-21-999-2017

Articles | Volume 21, issue 2

https://doi.org/10.5194/hess-21-999-2017

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

https://doi.org/10.5194/hess-21-999-2017

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

Articles | Volume 21, issue 2

Research article

|

16 Feb 2017

Research article |

| 16 Feb 2017

Remapping annual precipitation in mountainous areas based on vegetation patterns: a case study in the Nu River basin

Xing Zhou, Guang-Heng Ni, Chen Shen, and Ting Sun

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Final revised paper (published on 16 Feb 2017)
Preprint (discussion started on 23 Nov 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 07 Dec 2016
- AC1: 'Authors reply to anonymous referee #1', Xing Zhou, 23 Dec 2016
RC2: 'Review comments for the paper by Zhou et al.', Anonymous Referee #2, 20 Dec 2016
- AC2: 'Authors reply to anonymous referee #2', Xing Zhou, 23 Dec 2016
RC3: 'Comments on hess-2016-611', Anonymous Referee #3, 21 Dec 2016
- AC3: 'Authors reply to anonymous referee #3', Xing Zhou, 23 Dec 2016
AC4: 'Revised manuscript', Xing Zhou, 23 Dec 2016

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (19 Jan 2017) by Lixin Wang

AR by Xing Zhou on behalf of the Authors (21 Jan 2017) Author's response Manuscript

ED: Publish as is (23 Jan 2017) by Lixin Wang

AR by Xing Zhou on behalf of the Authors (24 Jan 2017)

Short summary

We develop a fusion framework to improve precipitation estimation by jointly utilizing the gauge precipitation and vegetation index and then applying them to mountainous areas of the Nu River basin. The results demonstrate the reliability of the framework in reproducing the high-resolution precipitation regime and capturing its high spatial variability in the Nu River basin. The framework can significantly reduce the errors in precipitation estimates as compared with the IDW and TRMM methods.