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. Full desciption available in this publication: http://www.geosci-model-dev-discuss.net/gmd-2017-60/
REDCAPP simulates high-resolution near-surface air temperaure well through providing a number of tools for
(1) downloading and manipulation of ERA-Interim data saved as netCDF4;
(2) contucting the interpoaltion of 2-meter air temperature and pressure level temperatures (or upper-air temperature);
(3) deriving proxy of land-surface effects from reanalysis data;
(4) addressing the spatially varying land-surface effects based on fine-scale DEM;
Additionally, the input data are not limited to ERA-Interim and could be extended to other reanalyses such as CFST, NCEP, MERRA or 20CRV2.
REDCAPP is wrotten by python (version 2.7) and public open. To run the software, please
(1) Get REDCAPP at https://github.com/geocryology/REDCAPP
(2) Make sure that the directory containing thie file (redcapp_example.py) is contained in your PYTHONPATH.
(3) Register to ECMWF (free) https://apps.ecmwf.int/registration/
(4) Follow the instructions for "Installing your API key" on https://software.ecmwf.int/wiki/display/WEBAPI/Accessing+ECMWF+data+servers+in+batch
(5) Adapt the script below (settings and location)
(6) Run the script
(7) Explore the results. Use a netcdf viewer to plot maps and time series. Panoply (https://www.giss.nasa.gov/tools/panoply) is a good one.
(8) Customise the code and use it for your project.
Please let us know how things work. We hope this is useful for you.
Bin Cao (caobin198912@outlook.com)