Improving mesoscale modeling using satellite-derived land surface   parameters in the Pearl River Delta region, China

doi:10.1002/2014JD021871

CORC > 北京大学 > 环境科学与工程学院

	Improving mesoscale modeling using satellite-derived land surface parameters in the Pearl River Delta region, China
	Li, Mengmeng ; Song, Yu ; Huang, Xin ; Li, Jianfeng ; Mao, Yi ; Zhu, Tong ; Cai, Xuhui ; Liu, Bing
刊名	journal of geophysical research atmospheres
	2014
关键词	Land surface parameter MODIS PRD mesoscale model NUMERICAL WEATHER PREDICTION FRACTIONAL VEGETATION COVER URBAN HEAT-ISLAND LEAF-AREA INDEX AIR-QUALITY ETA-MODEL MODIS SENSITIVITY IMPACTS CLIMATE
DOI	10.1002/2014JD021871
英文摘要	Land surface parameters play an important role in mesoscale modeling by regulating the regional heat flux and hydrological cycle. Recently, significant urbanization and afforestation occurred in the Pearl River Delta (PRD) region, China, which exert an important effect on local meteorology and thermal circulation. But previous studies failed to capture the complex changes of the surface characteristics in the PRD and thus were difficult to accurately describe the land-atmosphere coupling. In this study, high-resolution Moderate Resolution Imaging Spectroradiometer observations are used to specify the land cover type, green vegetation fraction, and leaf area index in the Weather Research and Forecasting model. Comparisons with ground-based observations during eight episodes, as well as satellite measurements, all indicate an improved model performance when the satellite-derived land surface parameters are assimilated. Moreover, the remote sensing data accurately reflect the surface inhomogeneity and successfully represent the intensity and spatiotemporal characteristics of the urban heat island (UHI) effect. The UHI effect in turn modifies the local thermal circulation by enhancing the urban-rural horizontal advection and initiating the urban heat island circulation, as well as interacting with the sea/land breeze over the PRD. This work not only improves the understanding of local meteorological simulation and forecasting but also sets the stage for further research on the feedback between air quality and meteorological responses due to land cover changes.; Meteorology & Atmospheric Sciences; SCI(E); 3; ARTICLE; songyu@pku.edu.cn; 11; 6325-6346; 119
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/212616]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Li, Mengmeng,Song, Yu,Huang, Xin,et al. Improving mesoscale modeling using satellite-derived land surface parameters in the Pearl River Delta region, China[J]. journal of geophysical research atmospheres,2014.
APA	Li, Mengmeng.,Song, Yu.,Huang, Xin.,Li, Jianfeng.,Mao, Yi.,...&Liu, Bing.(2014).Improving mesoscale modeling using satellite-derived land surface parameters in the Pearl River Delta region, China.journal of geophysical research atmospheres.
MLA	Li, Mengmeng,et al."Improving mesoscale modeling using satellite-derived land surface parameters in the Pearl River Delta region, China".journal of geophysical research atmospheres (2014).