Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.09.017 |
Impact of different reanalysis data on WRF dynamical downscaling over China | |
Huang, Danlian; Gao, Shibo | |
2018-02-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 200页码:25-35 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | High-resolution simulations were conducted over China during 2000-2014 with the Weather Research and Forecasting (WRF) model forced by the National Centers for Environmental Prediction (NCEP) Global Final Analysis (FNL) and ERA-interim reanalysis data. ERA-interim showed better agreement with observed temperature and precipitation than FNL. In general, WRF downscaling resulted in a more reliable spatial distribution of temperature than FNL, but not better than ERA-interim. For precipitation, ERA-interim performed the best, while WRF produced a wet bias in southeastern and southwestern China. A better spatial distribution and annual cycle were achieved by WRF in most of the subregions compared with FNL. In the simulation of extreme precipitation, WRF captured the main features of the extreme indices, and the spatial pattern correlations were higher than those for FNL. The simulation of precipitation and extreme precipitation was sensitive to the different reanalysis data boundaries, where significant differences occurred. The precipitation and extreme precipitation of WRF forced by ERA-interim were relatively better than those forced by FNL. This suggests a positive influence of the lateral boundary conditions of ERI in improving the WRF dynamical downscaling capabilities. However, compared with the reanalysis data itself, the improvements in the WRF simulation forced by FNL were more obvious than those forced by ERA-interim. This indicates that greater improvements can be made to the downscaling skill of the WRF forced by the FNL reanalysis data than to that forced by the ERA-interim data. |
英文关键词 | Dynamical downscaling FNL ERA-interim WRF |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000416394400003 |
WOS关键词 | REGIONAL CLIMATE MODEL ; LATERAL BOUNDARY-CONDITIONS ; PART I ; EAST-ASIA ; SEA-ICE ; SIMULATION ; SENSITIVITY ; EXTREMES ; SYSTEM ; VARIABILITY |
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/38561 |
专题 | 地球科学 |
作者单位 | Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disasters, Minist Educ KLME, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Danlian,Gao, Shibo. Impact of different reanalysis data on WRF dynamical downscaling over China[J]. ATMOSPHERIC RESEARCH,2018,200:25-35. |
APA | Huang, Danlian,&Gao, Shibo.(2018).Impact of different reanalysis data on WRF dynamical downscaling over China.ATMOSPHERIC RESEARCH,200,25-35. |
MLA | Huang, Danlian,et al."Impact of different reanalysis data on WRF dynamical downscaling over China".ATMOSPHERIC RESEARCH 200(2018):25-35. |
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