Large-scale atmospheric forcing and topographic modification of precipitation rates over High Asia &ndash; a neural-network-based approach

Gerlitz, L.; Conrad, O.; Böhner, J.

doi:https://doi.org/10.5194/esd-6-61-2015

Articles | Volume 6, issue 1

https://doi.org/10.5194/esd-6-61-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Climate Change and Environmental Pressure: Adaptation and...

https://doi.org/10.5194/esd-6-61-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 6, issue 1

Research article

|

27 Feb 2015

Research article |

| 27 Feb 2015

Large-scale atmospheric forcing and topographic modification of precipitation rates over High Asia – a neural-network-based approach

L. Gerlitz, O. Conrad, and J. Böhner

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Final revised paper (published on 27 Feb 2015)
Preprint (discussion started on 13 Oct 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C550: 'Major revision', Fabien Maussion, 10 Nov 2014
- AC C572: 'Reply to Reviw 1', Lars Gerlitz, 19 Nov 2014
  - RC C591: 'Clarifications', Fabien Maussion, 05 Dec 2014
RC C610: 'Review of the paper “Large scale atmospheric forcing and topographic modification of precipitation rates over High Asia – a neural network based approach”', Anonymous Referee #2, 09 Dec 2014

Peer-review completion

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

AR by Lars Gerlitz on behalf of the Authors (13 Jan 2015) Author's response Manuscript

ED: Publish as is (03 Feb 2015) by Valerio Lucarini

Short summary

In order to assess high-resolution precipitation fields for the Tibetan Plateau and the Himalayan Arc, a novel downscaling approach is presented which integrates traditional statistical downscaling and GIS-based terrain parameterization techniques. The approach enables a detailed analysis of the precipitation heterogeinity over the complex target area.