两种陆面过程方案对辽宁环渤海地区气象要素模拟的对比研究
Comparative Study on Simulation of Meteorological Elements in Bohai Coastal Region of Liaoning Province by Using Two Land Surface Schemes
DOI: 10.12677/CCRL.2019.84044, PDF,    国家科技经费支持
作者: 赵 婷:中国气象局沈阳大气环境研究所,辽宁 沈阳;文小航*:成都信息工程大学大气科学学院,高原大气与环境四川省重点实验室,四川 成都
关键词: WRF模式辽宁环渤海地区地表气象要素WRF Model Bohai Coastal Region Near-Surface Meteorological Elements
摘要: 本文利用WRF模式耦合的两种陆面模式(Noah、CLM)对2015年辽宁环渤海地区非均匀下垫面近地层气象要素进行模拟,采用GLDAS数据集、地面自动气象站观测数据与模拟结果进行对比检验。结果表明:WRF-Noah和WRF-CLM能较好地模拟出模拟区域内日均2 m气温的变化情况。WRF-CLM对模拟区域内2 m相对湿度的模拟效果较好。两组实验基本可以模拟出主导风风向,但是风速模拟值偏高,夏季降水模拟值偏低。WRF-Noah和WRF-CLM均能较好地展现辽宁环渤海地区的气温和湿度区域分布状况,与GLDAS及观测资料相比,气温模拟效果较好,相对湿度的模拟值在半湿润区偏低5%~10%左右,感热模拟值偏低,潜热模拟值偏高。
Abstract: In this paper, two land surface models (Noah and CLM) coupled with WRF model are used to simulate the near-surface meteorological elements on inhomogeneous underlying surfaces in Bohai Coastal Region of Liaoning Province in 2015. We compared the observations data from automatic weather stations, the simulated results from land surface models, with GLDAS dataset. The simulated results show that the daily averaged 2 m temperature are both simulated well from two LSMs. WRF-CLM shows a good performance on simulation of 2 m relative humidity over the simulation area. Although the dominant wind direction can be basically simulated by the two groups of WRF experiments, the simulated results of wind speed value are higher than observations, and the simulated summer precipitation value is lower than observations. Both WRF-Noah and WRF-CLM can better show the regional distribution of temperature and humidity in Bohai Coastal Region of Liaoning Province. Compared with GLDAS and observation data, the simulated value of 2 m temperature is improved, and the simulated value of relative humidity is lower than 5% - 10% in the semi-humid regions. The simulated sensible heat flux is lower than observations, and the simulated latent heat flux is higher than observations.
文章引用:赵婷, 文小航. 两种陆面过程方案对辽宁环渤海地区气象要素模拟的对比研究[J]. 气候变化研究快报, 2019, 8(4): 392-402. https://doi.org/10.12677/CCRL.2019.84044

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