A numerical study of the influence of urban expansion on monthly climate in dry autumn over the Pearl River Delta, China

Lin, Wenshi; Sui, Chung‐Hsiung; Yang, Limin; Wang, X. M.; Deng, Ruru; Fan, Saijun; Wu, C. S.; Wang, A. Y.; Fong, Soi Kun; Lin, Hui

doi:10.1007/s00704-006-0244-6

Cited by 24 publications

(17 citation statements)

References 32 publications

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“…Lo et al (2006), using an atmospheric model and a three-dimensional particle trajectory model, pointed out that urbanization in the PRD can modify regional land-sea-breeze circulations and potentially enhance the pollutant trapping, and therefore may contribute to the overall poor air quality in the region. Lin et al (2007) used the MM5 model to simulate the impact of urban expansion on monthly climate in the PRD region. Wang et al (2007) used a regional atmospheric chemistry model to study the effects of urbanization on surface ozone concentrations in the PRD.…”

Section: Introductionmentioning

confidence: 99%

Impacts of weather conditions modified by urban expansion on surface ozone: Comparison between the Pearl River Delta and Yangtze River Delta regions

et al. 2009

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Section: Introductionmentioning

confidence: 99%

Impacts of weather conditions modified by urban expansion on surface ozone: Comparison between the Pearl River Delta and Yangtze River Delta regions

et al. 2009

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“…And fourth, storm events are stratified by month to investigate seasonal trends, effect of rain type (i.e., convective, stratiform), and influence of climatological parameters (Steiner and Smith 1998;Schumacher and Houze 2003;Jiang et al 2008) on TMPA data accuracy in urban areas. Given the accuracy of satellite rainfall estimates may be influenced by climatological conditions such as moisture availability and vertical wind shear (Jiang et al 2008) and urban areas are known to modify moisture in the form of relative humidity (RH) and temperature (T) (Lin et al 2007;Um and Ha 2007), the relative accuracy of TMPA was assessed as a function of local T and RH using 10-year monthly average data from the NCDC and Korean Meteorological Administration (KMA).…”

Section: Analysis Methodsmentioning

confidence: 99%

“…Of particular interest related to rain type and climate influence is the potential for urban areas to modify meteorological processes, climatic variables, e.g., temperature and relative humidity (Lin et al 2007;Um and Ha 2007), and precipitation (Schreider et al 2000;Burian and Shepherd 2005;Shepherd et al 2009). Although satellite rainfall data offers an effective and economical method for observing rainfall rates and amounts over large areas, the accuracy of satellite data for hydrologic studies in urban areas remains uncertain.…”

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confidence: 99%

Assessment of satellite-based rainfall estimates in urban areas in different geographic and climatic regions

2010

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This paper presents an assessment of the 3B42 research version rainfall product from NASA's Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA). The study provides new results of TMPA data accuracy in urban areas and highlights trends associated with the climatological indicators of temperature and relative humidity in cities. Ten years (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007) of TMPA data were analyzed for three case study cities in the United States (Houston, Atlanta, and Las Vegas) and one in Korea (Cheongju), representing semi-arid to humid climates. At each location, an urbanized river basin and non-urbanized river basin were selected and comparisons between TMPA and rain gage observations were made for recorded storm events in the study period, the largest storm events by total depth, and selected hurricanes and topical storms. The results indicate TMPA data match well with rain gage observations at all locations. TMPA is slightly underestimated for semi-arid regions and overestimated for humid regions. The relative magnitude of TMPA rain event accumulation compared to rain gage accumulation is noted to be smaller for urbanized watersheds and high intensity events. The correlation of TMPA accuracy with temperature and relative humidity and the analysis of accuracy by season indicate TMPA is more accurate for convective rainfall events. This suggests a possible linkage between the observed urban-modified temperatures, hypothesized enhanced convection, and improved TMPA accuracy in urban areas.

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“…With the increase of human activities, meteorological elements such as temperature, wind speed, humidity were observed to be changing (Tong et al, 2004;Lin et al, 2007). Therefore, the study of spatial patterns of meteorological elements becomes very important.…”

Section: Introductionmentioning

confidence: 98%

Daily changes of spatial patterns of meteorological elements over Pearl River Delta based on GIS and MM5

et al. 2009

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The spatial distribution of meteorological elements is important for understanding the regional meteorology and climate changes. However, previous studies rarely focused on the daily changes of the spatial patterns of meteorological elements due to the limitation of remote sensing (RS) techniques and traditional meteorological methods. In this paper, the regional meteorological elements were simulated by the fifth-generation non-hydrostatic Mesoscale Model (MM5), and the spatial patterns of meteorological elements and their diurnal variations were analyzed in landscape level over the Pearl (Zhujiang) River Delta (PRD), China. The results showed that there were several centers of urban heat islands, cold islands, dry islands, wet islands, high wind over the PRD at noon. The diurnal changes of Moran I of meteorological elements were obvious and they reached the extremum at noon and 2-3 hours after the sunrise. The landscape indices of meteorological elements, such as area-weighted mean Fractal Dimension Index (FRAC_AM), Landscape Shape Index (LSI), Shannon's Diversity Index (SHDI) and Contagion Index (CONTAG), were more variable at about the sunrise, noon and sunset. The occurrence of wave crests and vales of landscape indices was affected by the surface net radiation, turbulence and local circumfluence. The spatial patterns of meteorological elements correlated well with the land surface, thermal exchanges and local circumfluence. A new approach combining GIS, RS and numerical simulations technologies and the landscape ecology method was presented to analyze spatial patterns of meteorological elements, which may be useful for studying global and regional climate changes.

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A numerical study of the influence of urban expansion on monthly climate in dry autumn over the Pearl River Delta, China

Cited by 24 publications

References 32 publications

Impacts of weather conditions modified by urban expansion on surface ozone: Comparison between the Pearl River Delta and Yangtze River Delta regions

Impacts of weather conditions modified by urban expansion on surface ozone: Comparison between the Pearl River Delta and Yangtze River Delta regions

Assessment of satellite-based rainfall estimates in urban areas in different geographic and climatic regions

Daily changes of spatial patterns of meteorological elements over Pearl River Delta based on GIS and MM5

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