Abstract
The Weather Research and Forecasting (WRF) modeling system obtains the aerodynamic roughness length (z0) from a land use (LU) lookup table. The effective aerodynamic roughness length (z0eff) was estimated for the island of Taiwan by considering the individual roughness lengths (z0i) of the underlying LU types within a modeling grid box. Two z0eff datasets were prepared: one using the z0i from the default LU lookup table and the other using the observed z0i for three LU types (urban, dry cropland and pasture, and irrigated cropland and pasture). The spatial variability of the z0eff distribution was higher than that of the LU table-based z0 distribution. Three WRF sensitivity experiments were performed: (1) dominant LU table-based z0 (namely, S1), (2) z0eff estimated from the default z0i (namely, S2), and (3) z0eff estimated from the observed z0i (namely, S3). Comparisons of the thermal field, temperature, and surface sensible and latent heat fluxes revealed no significant differences among the three simulations. The wind field overestimation and surface momentum flux underestimation in S1 were reduced in S2 and S3, and these improvements were more prominent over areas with highly heterogeneous land surface conditions.
Highlights
IntroductionThe accuracy of the land surface parameters is important for adequately simulating the flux exchange processes between land and air [1]
In mesoscale meteorological modeling, the accuracy of the land surface parameters is important for adequately simulating the flux exchange processes between land and air [1]
24impacts and 25 October, which were associated with different synoptic weak synoptic weather forcing and a local land-sea breeze circulation that formed over western weather systems, to demonstrate the impacts of the z0eff on the local meteorological characteristics
Summary
The accuracy of the land surface parameters is important for adequately simulating the flux exchange processes between land and air [1]. Studied the effects of six land surface parameters, namely, the roughness length, thermal inertia, soil moisture availability, albedo, surface heat capacity, and surface emissivity, on the meteorological simulation of Hong Kong; the results suggested that soil moisture availability is the most important parameter controlling the flow patterns and surface fluxes. Cheng and Byun [3] updated land use (LU) data using NASA’s LANDSAT-derived satellite products for the Houston Ship Channel area and showed improvements in the boundary layer mixing processes and local wind patterns. The aerodynamic roughness length (z0 ) is one of the most important land surface parameters for simulating the wind profile and estimating the momentum, heat, and moisture fluxes in the atmospheric surface layer. Lu et al [4] calculated z0 over several land surfaces using three years of experimental data from the Xiaotangshan Experiment
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