气候变化领域集成服务门户(CCPortal): Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey

CCPortal

DOI	10.1016/j.atmosres.2020.105184
	Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey
	Duzenli E.; Yucel I.; Pilatin H.; Yilmaz M.T.
发表日期	2021
ISSN	0169-8095
卷号	248
英文摘要	The physics- and initial-based ensemble approach for Weather Research and Forecasting (WRF) model is applied for predicting four different extreme precipitation events that occurred in summer and autumn over the two most flood-prone regions of Turkey, namely; the Eastern Black Sea (EBS) and Mediterranean (MED). A total of 48 runs, each of which includes two nested domains, is designed considering four microphysics (MP), three cumulus (CU), two planetary boundary layer (PBL) schemes, and two initial forcing datasets (ERA5 and Global Forecast System (GFS)) for each event. The forecast skill of the runs is measured through the hierarchic application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method using five categorical and four statistical metrics. The best ten members for each event are validated on the independent events. The MP scheme is the most influential on precipitation estimates between the schemes, especially for the autumn events. However, the choice of a specific MP scheme varies with season and region. Similarly, PBL and CU schemes show a high dependency on event timing and location. Forecasts based on ERA5 yield the highest accuracy over EBS, while GFS-based forecasts are better in the MED region. Most of the top ten members are represented by runs from the 9-km domain. The model parameterization generally shows a more significant impact than model initiation on precipitation variability through spatiotemporal runs. Also, the dynamic downscaling of ERA5 through the WRF model indeed produces better precipitation estimates than ERA5 products over topographically complex regions. © 2020 Elsevier B.V.
英文关键词	Ensemble approach; Extreme precipitation; Numerical weather prediction; Performance measure; Sensitivity analysis; WRF-derived precipitation estimates
语种	英语
scopus关键词	Boundary layers; Precipitation (meteorology); Ensemble approaches; Extreme precipitation events; Global forecast systems; Mediterranean region; Model parameterization; Planetary boundary layers; Precipitation variability; Weather research and forecasting models; Weather forecasting; accuracy assessment; downscaling; ensemble forecasting; extreme event; performance assessment; precipitation intensity; spatiotemporal analysis; weather forecasting; Black Sea; Mediterranean Region; Turkey
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141720
作者单位	Middle East Technical University, Department of Civil Engineering, Ankara, Turkey; Middle East Technical University, Earth System Science, Ankara, Turkey
推荐引用方式 GB/T 7714	Duzenli E.,Yucel I.,Pilatin H.,et al. Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey[J],2021,248.
APA	Duzenli E.,Yucel I.,Pilatin H.,&Yilmaz M.T..(2021).Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey.Atmospheric Research,248.
MLA	Duzenli E.,et al."Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey".Atmospheric Research 248(2021).