Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations

摘要: For an increasing number of applications, mesoscale modelling systems now aim to better represent urban areas. The complexity processes resolved by parametrization schemes varies with the application. concept fitness-for-purpose is therefore critical for both choice parametrizations and way in which scheme should be evaluated. A systematic objective model response analysis procedure (Multiobjective Shuffled Complex Evolution Metropolis (MOSCEM) algorithm) used assess fitness single-layer canopy implemented Weather Research Forecasting (WRF) model. evaluated regarding its ability simulate observed surface energy fluxes sensitivity input parameters. Recent amendments are described, focussing on features improve applicability numerical weather prediction, such as a reduced physically more meaningful list study shows high parameters characterizing roof properties contrast low road-related ones. Problems partitioning between turbulent sensible latent heat also emphasized. Some initial guidelines prioritize efforts obtain land-cover class characteristics WRF provided. Copyright © 2010 Royal Meteorological Society Crown Copyright.