Articles | Volume 6, issue 1
https://doi.org/10.5194/esd-6-61-2015
https://doi.org/10.5194/esd-6-61-2015
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

Viewed

Total article views: 3,825 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,988 1,695 142 3,825 162 149
  • HTML: 1,988
  • PDF: 1,695
  • XML: 142
  • Total: 3,825
  • BibTeX: 162
  • EndNote: 149
Views and downloads (calculated since 13 Oct 2014)
Cumulative views and downloads (calculated since 13 Oct 2014)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 25 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint