Quantifying the added value of convection-permitting climate simulations in complex terrain: a systematic evaluation of WRF over the Himalayas

Karki, Ramchandra; ul Hasson, Shabeh; Gerlitz, Lars; Schickhoff, Udo; Scholten, Thomas; Böhner, Jürgen

doi:https://doi.org/10.5194/esd-8-507-2017

Articles | Volume 8, issue 3

https://doi.org/10.5194/esd-8-507-2017

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

https://doi.org/10.5194/esd-8-507-2017

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

Articles | Volume 8, issue 3

Research article

|

05 Jul 2017

Research article |

| 05 Jul 2017

Quantifying the added value of convection-permitting climate simulations in complex terrain: a systematic evaluation of WRF over the Himalayas

Ramchandra Karki, Shabeh ul Hasson, Lars Gerlitz, Udo Schickhoff, Thomas Scholten, and Jürgen Böhner

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Preprint (discussion started on 05 Apr 2017)
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Interactive discussion

Status: closed

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

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RC1: 'General and specific comments on manuscript titled: "Quantifying the added value of high resolution climate models: A systematic comparison of WRF simulations for complex Himalayan terrain"', Anonymous Referee #1, 03 May 2017
- AC1: 'response to reviewer 1', Ramchandra Karki, 23 May 2017
RC2: 'Comments on “Quantifying the added value of high resolution climate models: A systematic comparison of WRF simulations for complex Himalayan terrain” by Ramchandra Karki et al.', Anonymous Referee #2, 09 May 2017
- AC2: 'response to reviewer 2', Ramchandra Karki, 23 May 2017

Peer-review completion

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

ED: Publish as is (31 May 2017) by Govindasamy Bala

AR by Ramchandra Karki on behalf of the Authors (02 Jun 2017) Author's response Manuscript

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Short summary

Dynamical downscaling of climate fields at very high resolutions (convection- and topography-resolving scales) over the complex Himalayan terrain of the Nepalese Himalayas shows promising results. It clearly demonstrates the potential of mesoscale models to accurately simulate present and future climate information at very high resolutions over remote, data-scarce mountainous regions for the development of adaptation strategies and impact assessments in the context of changing climate.