Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD031584 |
Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern US Metropolitan Areas | |
Jalowska, Anna M.; Spero, Tanya L. | |
2019-12-26 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:24页码:13895-13913 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Extreme precipitation events influence watershed, agriculture, and urban management. The probability of extreme precipitation is estimated for storm water management using precipitation intensity-duration-frequency (PIDF) curves. This study explores developing PIDF curves from dynamically downscaled 36- and 12-km simulations using the Weather Research and Forecasting (WRF) model. Three modeled data sets are examined: 36-km WRF model forced with 2.5 degrees (275-km) NCEP-DOE AMIP-II Reanalysis (R2); 36-km WRF model forced with 0.75 degrees (80-km) ERA-Interim; and 12-km WRF model forced with ERA-Interim. The WRF outputs are verified against historical observations for three cities in the Eastern United States using a 23-year period (1988-2010). The 36-km WRF data set driven by R2 produced PIDF curves that were acceptable at the 12- to 24-hr durations, but those WRF data could not realistically simulate extremes represented by the high-intensity, short-duration precipitation events. Increasing the resolution of WRF's driving data from R2 to ERA-Interim did not improve WRF's representation of precipitation events. Using 12-km grid spacing enhances WRF's ability to reproduce PIDF curves developed from observations. Finer grid spacing dramatically improves the frequency and intensity of the 1- to 3-hr events and improves the 6- to 24-hr events. However, improvements with the 12-km WRF data did not apply equally to all study sites, suggesting further modifications to the WRF configuration and/or methodology are necessary. Although imperfect, the results here lend confidence to using modeled data to construct PIDF curves, which could be valuable for projecting changes to parameters used in urban and environmental planning. |
英文关键词 | Extreme precipitation PIDF curves WRF downscaling |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000504436400001 |
WOS关键词 | INTENSE PRECIPITATION ; WEATHER RESEARCH ; UNITED-STATES ; AIR-QUALITY ; IDF CURVES ; LAND-USE ; RAINFALL ; CLIMATE ; TRENDS ; SIMULATIONS |
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/225975 |
专题 | 环境与发展全球科技态势 |
作者单位 | US EPA, Off Res & Dev, Durham, NC 27709 USA |
推荐引用方式 GB/T 7714 | Jalowska, Anna M.,Spero, Tanya L.. Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern US Metropolitan Areas[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(24):13895-13913. |
APA | Jalowska, Anna M.,&Spero, Tanya L..(2019).Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern US Metropolitan Areas.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(24),13895-13913. |
MLA | Jalowska, Anna M.,et al."Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern US Metropolitan Areas".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.24(2019):13895-13913. |
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