Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-017-3729-3 |
Assessing the applicability of WRF optimal parameters under the different precipitation simulations in the Greater Beijing Area | |
Di, Zhenhua1,2; Duan, Qingyun1,2; Wang, Chen1,2; Ye, Aizhong1,2; Miao, Chiyuan1,2; Gong, Wei1,2 | |
2018-03-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 50页码:1927-1948 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Forecasting skills of the complex weather and climate models have been improved by tuning the sensitive parameters that exert the greatest impact on simulated results based on more effective optimization methods. However, whether the optimal parameter values are still work when the model simulation conditions vary, which is a scientific problem deserving of study. In this study, a highly-effective optimization method, adaptive surrogate model-based optimization (ASMO), was firstly used to tune nine sensitive parameters from four physical parameterization schemes of the Weather Research and Forecasting (WRF) model to obtain better summer precipitation forecasting over the Greater Beijing Area in China. Then, to assess the applicability of the optimal parameter values, simulation results from the WRF model with default and optimal parameter values were compared across precipitation events, boundary conditions, spatial scales, and physical processes in the Greater Beijing Area. The summer precipitation events from 6 years were used to calibrate and evaluate the optimal parameter values of WRF model. Three boundary data and two spatial resolutions were adopted to evaluate the superiority of the calibrated optimal parameters to default parameters under the WRF simulations with different boundary conditions and spatial resolutions, respectively. Physical interpretations of the optimal parameters indicating how to improve precipitation simulation results were also examined. All the results showed that the optimal parameters obtained by ASMO are superior to the default parameters for WRF simulations for predicting summer precipitation in the Greater Beijing Area because the optimal parameters are not constrained by specific precipitation events, boundary conditions, and spatial resolutions. The optimal values of the nine parameters were determined from 127 parameter samples using the ASMO method, which showed that the ASMO method is very highly-efficient for optimizing WRF model parameters. |
英文关键词 | Adaptive surrogate model-based optimization method Parameter optimization Optimization assessment Weather Research and Forecasting model |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000426707100026 |
WOS关键词 | NUMERICAL WEATHER-PREDICTION ; FRITSCH CONVECTIVE PARAMETERIZATION ; MODELING-BASED OPTIMIZATION ; DATA ASSIMILATION ; LAND-SURFACE ; GLOBAL OPTIMIZATION ; SCHEME ; SENSITIVITY ; CALIBRATION ; ENSEMBLE |
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/35328 |
专题 | 气候变化 |
作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 2.Beijing Normal Univ, Inst Land Surface Syst & Sustainable Dev, Fac Geog Sci, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Di, Zhenhua,Duan, Qingyun,Wang, Chen,et al. Assessing the applicability of WRF optimal parameters under the different precipitation simulations in the Greater Beijing Area[J]. CLIMATE DYNAMICS,2018,50:1927-1948. |
APA | Di, Zhenhua,Duan, Qingyun,Wang, Chen,Ye, Aizhong,Miao, Chiyuan,&Gong, Wei.(2018).Assessing the applicability of WRF optimal parameters under the different precipitation simulations in the Greater Beijing Area.CLIMATE DYNAMICS,50,1927-1948. |
MLA | Di, Zhenhua,et al."Assessing the applicability of WRF optimal parameters under the different precipitation simulations in the Greater Beijing Area".CLIMATE DYNAMICS 50(2018):1927-1948. |
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