Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.4819 |
Urban meteorological modeling using WRF: a sensitivity study | |
Sharma, Ashish1,2; Fernando, Harindra J. S.2; Hamlet, Alan F.1,2; Hellmann, Jessica J.3,4; Barlage, Michael5; Chen, Fei5 | |
2017-03-30 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2017 |
卷号 | 37期号:4 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | This study explores the sensitivity of high-resolution mesoscale simulations of urban heat island (UHI) in the Chicago metropolitan area (CMA) and its environs to urban physical parameterizations, with emphasis on the role of lake breeze. A series of climate downscaling experiments were conducted using the urban-Weather Research and Forecasting (uWRF) model at 1-km horizontal resolution for a relatively warm period with a strong lake breeze. The study employed best available morphological data sets, selection of appropriate urban parameters, and estimates of anthropogenic heating sources for the CMA. Several urban parameterization schemes were then evaluated using these parameter values. The study also examined (1) the impacts of land data assimilation for initialization of the mesoscale model, (2) the role of urbanization on UHI and lake breeze, and (3) the effects of sub-grid scale land-cover variability on urban meteorological predictions. Comparisons of temperature and wind simulations with station observations and Moderate Resolution Imaging Spectroradiometer satellite data in the CMA showed that uWRF, with appropriate selection of urban parameter values, was able to reproduce the measured near-surface temperature and wind speeds reasonably well. In particular, the model was able to capture the observed spatial variation of 2-m near-surface temperatures at night, when the UHI effect was pronounced. Results showed that inclusion of sub-grid scale variability of land-use and initializing models with more accurate land surface data can yield improved simulations of near-surface temperatures and wind speeds, particularly in the context of simulating the extent and spatial heterogeneity of UHI effects. |
英文关键词 | urban heat island lake breeze urban meteorology mesoscale modeling land data assimilation sub-grid scale land-use variability WRF |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000397497700016 |
WOS关键词 | 1995 HEAT-WAVE ; LAND-COVER DATA ; CANOPY MODEL ; DATA-ASSIMILATION ; CLIMATE ; ISLAND ; PHOENIX ; CHICAGO ; IMPACTS ; PARAMETERIZATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37401 |
专题 | 气候变化 |
作者单位 | 1.Univ Notre Dame, ECI, 1400 East Angela Blvd,Unit 117, South Bend, IN 46617 USA; 2.Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci CEEES, South Bend, IN USA; 3.Univ Notre Dame, Dept Biol Sci, South Bend, IN USA; 4.Univ Minnesota, Inst Environm, St Paul, MN 55108 USA; 5.Natl Ctr Atmospher Res, Res Applicat Lab, POB 3000, Boulder, CO 80307 USA |
推荐引用方式 GB/T 7714 | Sharma, Ashish,Fernando, Harindra J. S.,Hamlet, Alan F.,et al. Urban meteorological modeling using WRF: a sensitivity study[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(4). |
APA | Sharma, Ashish,Fernando, Harindra J. S.,Hamlet, Alan F.,Hellmann, Jessica J.,Barlage, Michael,&Chen, Fei.(2017).Urban meteorological modeling using WRF: a sensitivity study.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(4). |
MLA | Sharma, Ashish,et al."Urban meteorological modeling using WRF: a sensitivity study".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.4(2017). |
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