气候变化领域集成服务门户(CCPortal): High-resolution simulations of mean and extreme precipitation with WRF for the soil-erosive Loess Plateau

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DOI	10.1007/s00382-020-05178-6
	High-resolution simulations of mean and extreme precipitation with WRF for the soil-erosive Loess Plateau
	Tian L.; Jin J.; Wu P.; Niu G.-Y.; Zhao C.
发表日期	2020
ISSN	0930-7575
起始页码	3489
结束页码	3506
卷号	54
英文摘要	This study is intended to simulate and better understand mean and extreme precipitation over the Loess Plateau (LP) in China using the Weather Research and Forecasting (WRF) model. We performed a long-term (1980–2011) simulation with the WRF model at a 10 km horizontal resolution, forced by the ERA-Interim reanalysis. A series of sensitivity experiments were conducted to investigate the influence of resolution and physical parameterization schemes on the simulation ability of the WRF model over the LP. The region has a dominant semi-arid climate and is adversely affected by extreme precipitation. Results show that the WRF model produced better simulations at a 10 km resolution for the LP with complex terrain than it did at coarser resolutions. WRF simulations for precipitation over the LP were most sensitive to cumulus schemes, moderately sensitive to planetary boundary layer schemes, and less sensitive to microphysics schemes. The WRF model not only adequately captured the spatial distribution of precipitation in the LP but also reproduced its magnitude and variability at different time scales. Moreover, the WRF model captured 73% of the observed extreme precipitation events with an intensity of more than 12 mm day− 1, which cause substantial soil erosion in the LP. Although it was unable to capture 27% of the observed events, the WRF model reasonably reproduced ERA-Interim extreme precipitation and its dynamic processes. These analyses strongly suggest that the biased extreme precipitation generated with the WRF model most likely resulted from inaccurate ERA-Interim forcing data. This study provides a better understanding of extreme precipitation simulations as well as insight into predictions of soil erosion in the LP. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Extreme precipitation; High resolution; Loess Plateau; Soil erosion; WRF
语种	英语
scopus关键词	computer simulation; extreme event; image resolution; numerical model; precipitation intensity; prediction; sensitivity analysis; soil erosion; weather forecasting; China; Loess Plateau
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145511
作者单位	Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China; Department of Watershed Sciences, Utah State University, Logan, UT 84322, United States; Biosphere 2, University of Arizona, Oracle, AZ 85623, United States; Department of Hydrology & Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, United States; School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
推荐引用方式 GB/T 7714	Tian L.,Jin J.,Wu P.,et al. High-resolution simulations of mean and extreme precipitation with WRF for the soil-erosive Loess Plateau[J],2020,54.
APA	Tian L.,Jin J.,Wu P.,Niu G.-Y.,&Zhao C..(2020).High-resolution simulations of mean and extreme precipitation with WRF for the soil-erosive Loess Plateau.Climate Dynamics,54.
MLA	Tian L.,et al."High-resolution simulations of mean and extreme precipitation with WRF for the soil-erosive Loess Plateau".Climate Dynamics 54(2020).