Articles | Volume 10, issue 8
https://doi.org/10.5194/gmd-10-2905-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2905-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Key Laboratory of Western China's Environmental Systems (MOE), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Department of Geography & Environmental Studies, Carleton University, Ottawa, K1S 5B6, Canada
Stephan Gruber
Department of Geography & Environmental Studies, Carleton University, Ottawa, K1S 5B6, Canada
Tingjun Zhang
Key Laboratory of Western China's Environmental Systems (MOE), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
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- Performance and changes of high‐resolution (1 km) surface air temperature in Northern Hemisphere permafrost regions H. Jin et al. https://doi.org/10.1002/joc.7918
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- Water content and ground temperature variations in the active layer of a rock glacier in the Central Andes of San Juan, Argentina M. López et al. https://doi.org/10.1002/esp.5926
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- Spatiotemporal Evolution of Fractional Vegetation Cover and Its Response to Climate Change Based on MODIS Data in the Subtropical Region of China H. Liu et al. https://doi.org/10.3390/rs13050913
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- Modelling the temporal dynamics of subarctic surface temperature inversions from atmospheric reanalysis for producing point-scale multi-decade meteorological time series in mountains V. Pozsgay & S. Gruber https://doi.org/10.1139/as-2025-0027
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- GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses B. Cao et al. https://doi.org/10.5194/gmd-12-4661-2019
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Saved (final revised paper)
Latest update: 15 Jul 2026
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.
To derive the air temperature in mountain enviroments, we propose a new downscaling method with...
