中文版 | English
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Improvement in Convective Precipitation and Land Surface Prediction over Complex Terrain
[null]
出版年2016
学位授予单位XIANG, TIANTIAN (Author), Vivoni, Enrique R (Advisor), Gochis, David J (Committee member), Huang, Huei-Ping (Committee member), Mascaro, Giuseppe (Committee member), Wang, Zhihua (Committee member), Arizona State University (Publisher)
英文摘要abstract: Land surface fluxes of energy and mass developed over heterogeneous mountain landscapes are fundamental to atmospheric processes. However, due to their high complexity and the lack of spatial observations, land surface processes and land-atmosphere interactions are not fully understood in mountain regions. This thesis investigates land surface processes and their impact on convective precipitation by conducting numerical modeling experiments at multiple scales over the North American Monsoon (NAM) region. Specifically, the following scientific questions are addressed: (1) how do land surface conditions evolve during the monsoon season, and what are their main controls?, (2) how do the diurnal cycles of surface energy fluxes vary during the monsoon season for the major ecosystems?, and (3) what are the impacts of surface soil moisture and vegetation condition on convective precipitation? Hydrologic simulation using the TIN-based Real-time Integrated Basin Simulator (tRIBS) is firstly carried out to examine the seasonal evolution of land surface conditions. Results reveal that the spatial heterogeneity of land surface temperature and soil moisture increases dramatically with the onset of monsoon, which is related to seasonal changes in topographic and vegetation controls. Similar results are found at regional basin scale using the uncoupled WRF-Hydro model. Meanwhile, the diurnal cycles of surface energy fluxes show large variation between the major ecosystems. Differences in both the peak magnitude and peak timing of plant transpiration induce mesoscale heterogeneity in land surface conditions. Lastly, this dissertation examines the upscale effect of land surface heterogeneity on atmospheric condition through fully-coupled WRF-Hydro simulations. A series of process-based experiments were conducted to identify the pathways of soil moisture-rainfall feedback mechanism over the NAM region. While modeling experiments confirm the existence of positive soil moisture/vegetation-rainfall feedback, their exact pathways are slightly different. Interactions between soil moisture, vegetation cover, and rainfall through a series of land surface and atmospheric boundary layer processes highlight the strong land-atmosphere coupling in the NAM region, and have important implications on convective rainfall prediction. Overall, this dissertation advances the study of complex land surface processes over the NAM region, and made important contributions in linking complex hydrologic, ecologic and atmospheric processes through numerical modeling. Dissertation/Thesis Doctoral Dissertation Civil and Environmental Engineering 2016
英文关键词Hydrologic sciences Environmental engineering Atmospheric sciences Hydrologic simulation Land-atmosphere interactions Land surface processes North American Monsoon Numerical weather prediction
语种英语
URLhttp://hdl.handle.net/2286/R.I.40318
来源机构Arizona State University
资源类型学位论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/250185
推荐引用方式
GB/T 7714		 [null]. Improvement in Convective Precipitation and Land Surface Prediction over Complex Terrain[D]. XIANG, TIANTIAN (Author), Vivoni, Enrique R (Advisor), Gochis, David J (Committee member), Huang, Huei-Ping (Committee member), Mascaro, Giuseppe (Committee member), Wang, Zhihua (Committee member), Arizona State University (Publisher),2016.
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