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WRF模式参数化方案对江西山地风电场的风模拟研究
引用本文:姚琳,沈竞,温新龙,高超. WRF模式参数化方案对江西山地风电场的风模拟研究[J]. 长江流域资源与环境, 2018, 27(7): 1380-1516. DOI: 10.11870/cjlyzyyhj201807010
作者姓名:姚琳  沈竞  温新龙  高超
作者单位:(1.江西省气象科学研究所,江西 南昌 330096;2.西南交通大学地球科学与环境工程学院,四川 成都 610031)
基金项目:江西省重点科技成果转移转化计划项目:“江西省风能资源详查及其成果应用”(20161BBI90040),江西省气象局青年人才培养项目:“基于WRF/CALPUFF模型的工业园区大气环境容量数值研究”
摘    要:在WRF模式中选取不同的陆面过程、边界层以及近地面层参数化方案,设计了6种不同的参数化方案组合,模拟江西省某高山风电场测风塔2016年1月和2017年1月逐时风速、风向,并与同期实测数据进行比较,选出MRF边界层参数、WSM3微物理过程参数和Noah陆面过程参数作为最优参数化组合方案。对最优参数化组合方案的模拟结果进行整一年的逐时模拟效果检验,结果表明:最优参数化组合方案对全年风速模拟效果较好,模拟结果风速日变化趋势及风速段(0~24时)分布与实测基本一致,模拟的风速峰值及概率偏大,主要是由于模式的精度不足以准确描述山地风场复杂下垫面造成的。模式最优参数化方案对风向模拟与实测主导风向分布一致且风向频率相似

关 键 词:风速模拟  WRF模式  参数化方案

Impact of Various Parameterization Schemes in WRF Model on Wind Simulation at the mountain Wind Power Station of Jiangxi Province
YAO Lin,SHEN Jing,WEN Xin-long,GAO Chao. Impact of Various Parameterization Schemes in WRF Model on Wind Simulation at the mountain Wind Power Station of Jiangxi Province[J]. Resources and Environment in the Yangtza Basin, 2018, 27(7): 1380-1516. DOI: 10.11870/cjlyzyyhj201807010
Authors:YAO Lin  SHEN Jing  WEN Xin-long  GAO Chao
Affiliation:(1.Meteorological Sciences Institute of Jiangxi Province, Nanchang 330096, China;2.Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong Univerdity, Chengdu 610031, China)
Abstract:This study evaluated wind speed and simulated vertical wind by using the WRF model, which designed six sets of simulations with different physical parameterizations at the mountain wind station of Jiangxi province from July 2016 to January 2017. Results showed that MRF boundary layer scheme, the microphysical scheme of WSM3 and Noah land surface scheme were the three best reasonable parameterization scheme simulation. The optimized parameterization scheme performed well in simulating the wind speed for the whole year, the daily variation trend of wind speed and the distribution of wind speed were consistent with the measured. The peak distribution and the probability of simulated wind speed were overestimated due to the lack of accurate topographic resolution of model. The simulate wind direction statistics of the optimized parameterization scheme and the actual recorded wind direction statistics were in good agreement, and the wind direction frequency distribution was similar
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