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Welcome to the REDCAPP wiki!

REanalysis Downscaling Cold Air Pooling Parameterization (REDCAPP) is a python-based open source software for parameterizing the temporal and spatial differentiation of surface effects and cold air pooling when downscaling reanalysis data in mountainous areas.

REDCAPP can produce daily, high-resolution gridded fields of near-surface air temperature in mountains. This can provide input for other models simulating phenomena related to e.g., hydrology, permafrost, ecology. The input data are not limited to ERA-Interim (used in the munuscript) and could be extended to other reanalyses such as CFST, NCEP, MERRA or 20CRV2.

Detailed description of REDCAPP can be found [REDCAPP: Parameterizing valley inversions in air temperature data downscaled from re-analyses](MUNUSCRIPT LINK).

Related infromation/references used in the REDCAPP can be found from:

(1) J. Fiddes & S. Gruber: TopoSCALE v.1.0: downscaling gridded climate data in complex terrain.

(2) Avirup Sen Guptaa & David G. Tarbotonb: A tool for downscaling weather data from large-grid reanalysis products to finer spatial scales for distributed hydrological applications.