The Effect of Model Parameters on the Spatial Structure of Forecast Fields

In spatial verification techniques, it is often important to take into account the spatial structure of forecasts and observations. As such, it is desirable to be able to affect the spatial structure of forecasts. In this talk, it is shown that some model parameters have coherent and significant effects which can, in principle, be employed to revise the spatial structure of the forecasts. A variety of forecast quantities are examined from two NWP models - COAMPS and WRF.