Impact of an improved WRF urban canopy model on diurnal air temperature  simulation over northern Taiwan

Lin, Chuan-Yao; Su, Chiung-Jui; Kusaka, Hiroyuki; Akimoto, Yuko; Sheng, Yang-Fan; Huang, Jr-Chuan; Hsu, Huang-Hsiung

doi:https://doi.org/10.5194/acp-16-1809-2016

Articles | Volume 16, issue 3

https://doi.org/10.5194/acp-16-1809-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-1809-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 3

Research article

|

16 Feb 2016

Research article |

| 16 Feb 2016

Impact of an improved WRF urban canopy model on diurnal air temperature simulation over northern Taiwan

Chuan-Yao Lin, Chiung-Jui Su, Hiroyuki Kusaka, Yuko Akimoto, Yang-Fan Sheng, Jr-Chuan Huang, and Huang-Hsiung Hsu

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Final revised paper (published on 16 Feb 2016)
Preprint (discussion started on 21 Oct 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C9231: 'Discussion Paper Review', Anonymous Referee #1, 13 Nov 2015
- AC C11050: 'Response to the reviewer 1', Chuan-yao Lin, 04 Jan 2016
RC C9281: 'Comment', Anonymous Referee #2, 16 Nov 2015
- AC C11062: 'Response to the reviewer 2', Chuan-yao Lin, 04 Jan 2016

Peer-review completion

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

AR by Chuan-yao Lin on behalf of the Authors (04 Jan 2016) Author's response Manuscript

ED: Reconsider after minor revisions (Editor review) (18 Jan 2016) by Stefano Galmarini

ED: Publish as is (29 Jan 2016) by Stefano Galmarini

Short summary

This study evaluated the impact of urbanization over northern Taiwan using the Weather Research and Forecasting (WRF) Model coupled with the Noah land-surface model and a modified urban canopy model (WRF-UCM2D). WRF-UCM2D performed much better than the original UCM coupled with WRF (WRF-UCM) at non-urban stations with a low urban fraction during nighttime. The result of this study has crucial implications for assessing the impacts of urbanization on air quality and regional climate.