Articles | Volume 10, issue 8
https://doi.org/10.5194/gmd-10-2905-2017
https://doi.org/10.5194/gmd-10-2905-2017
Development and technical paper
 | 
01 Aug 2017
Development and technical paper |  | 01 Aug 2017

REDCAPP (v1.0): parameterizing valley inversions in air temperature data downscaled from reanalyses

Bin Cao, Stephan Gruber, and Tingjun Zhang

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bin Cao on behalf of the Authors (26 Jun 2017)  Author's response   Manuscript 
ED: Publish as is (02 Jul 2017) by Patrick Jöckel
AR by Bin Cao on behalf of the Authors (02 Jul 2017)
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Short summary
To derive the air temperature in mountain enviroments, we propose a new downscaling method with a spatially variable magnitude of surface effects. Our findings suggest that the difference between near-surface air temperature and upper-air temerpature is a good proxy of surface effects. It can be used to improve downscaling results, especially in valleys with strong surface effects and cold air pooling during winter.