Publications

Liu, YM; Shen, C; Chen, XY; Hong, YY; Fan, Q; Chan, PK; Wang, CL; Lan, J (2023). Satellite-Based Estimation of Roughness Length over Vegetated Surfaces and Its Utilization in WRF Simulations. REMOTE SENSING, 15(10), 2686.

Abstract
Based on morphological methods, MODIS satellite remote sensing data were used to establish a dataset of the local roughness length (Z(0)) of vegetation-covered surfaces in Guangdong Province. The local Z(0) was used to update the mesoscale Weather Research and Forecasting (WRF) model in order to quantitatively evaluate its impact on the thermodynamic environment of vegetation-covered surfaces. The specific results are as follows: evergreen broad-leaved forests showed the largest average Z(0) values at 1.27 m (spring), 1.15 m (summer), 1.03 m (autumn), and 1.15 m (winter); the average Z(0) values of mixed forests ranged from 0.90 to 1.20 m; and those for cropland-covered surfaces ranged from 0.17 to 0.20 m. The Z(0) values of individual vegetation coverage types all exhibited relatively high values in spring and low values in autumn, and the default Z(0) corresponding to specific vegetation-covered surfaces was significantly underestimated in the WRF model. Modifying the default Z(0) of surfaces underlying evergreen broad-leaved forests, mixed forests, and croplands in the model induced only relatively small changes (<1%) in their 2 m temperature, relative humidity, skin surface temperature, and the planetary boundary layer height. However, the average daily wind speed of surfaces covered by evergreen broad-leaved forests, mixed forests, and croplands was reduced by 0.48 m/s, 0.43 m/s, and 0.26 m/s, respectively, accounting for changes of 12.0%, 11.1%, and 6.5%, respectively.

DOI:
10.3390/rs15102686

ISSN:
2072-4292