The goal of the first full release of MIR is to replace the old EMOSLIB functionality. As such, MIR implements only linear and nearest-neighbour interpolation methods. It does not provide any support for conservative remapping. Other interpolation methods may be provided in future releases.

This means that MIR may not produce sufficiently accurate results when upscaling from a high-resolution model grid to low resolution grids. For example, using MIR to remap the surface geopotential field from the operational HRES forecast at ~9km to a 1x1 regular lat-lon grid gives a mean bias error of ~16m and a mean absolute error of ~166m when compared to a reference field created by area-averaging the 100 m Shuttle Radar Tomography Data (STRD) grid points over the Alpine Domain. If the the remapping is performed with the the Climate Data Opertors (CDO) remapcon operator.then the mean bias error is ~-2m and the mean absolute error is ~7.5m.  [ECMWF thanks Reto Stöckli of the Federal Office of Meteorology and Climatology MeteoSwiss for providing this information.]