卢冰,王薇,杨扬,仲跻芹,陈敏. 2019. WRF中土壤图及参数表的更新对华北夏季预报的影响研究[J]. 气象学报, (0):-, doi:10.11676/qxxb2019.066
WRF中土壤图及参数表的更新对华北夏季预报的影响研究
Updated Soil Map and Soil Hydraulic Parameters for WRF and Its Influences over North China During Warm Season
投稿时间:2018-09-27  修订日期:2019-05-28
DOI:10.11676/qxxb2019.066
中文关键词:  Noah陆面模式  土壤类型  土壤水文参数  2m温湿度
英文关键词:Noah LSM  Soil texture  Soil hydraulic parameters  2m temperature and humidity
基金项目:国家自然科学基金,市自然科学基金
作者单位E-mail
卢冰 中国气象局北京城市气象研究所 blu@ium.cn 
王薇 美国国家大气研究中心 weiwang@ucar.edu 
杨扬 中国气象局北京城市气象研究所 yyang@ium.cn 
仲跻芹 中国气象局北京城市气象研究所 jqzhong@ium.cn 
陈敏 中国气象局北京城市气象研究所 mchen@ium.cn 
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中文摘要:
      土壤质地及其物理性质的参数化对陆面过程模拟具有明显的影响,本文研究了土壤质地和土壤水文参数表的更新对WRF(Weather Research and Forecasting model)模式模拟性能的影响。使用北京师范大学土壤属性数据集和修正后的土壤水文参数表替换WRF默认数据,并对2017年6-8月华北地区开展数值模拟试验和评估验证,结果表明模式模拟结果对土壤数据集和水文参数表的更新较为敏感,对地面要素预报有正效果。WRF默认土壤数据中,中国东部以粘壤土为主,而在北师大土壤数据中则以壤土为主;修正后的土壤水文参数在Noah陆面过程中增强了裸土潜热蒸发能力。数值模拟试验表明土壤输入数据和土壤水文参数的更新能够增强陆面向大气的潜热同时减弱感热输送,致使大气底层温度降低而湿度增强。利用华北区域748个地面气象观测站的2m温度和2m湿度对2017年夏季的模拟结果进行验证,结果显示更新试验对地面要素的预报偏差有较好的修正作用,能够将2m温、湿度的预报技巧分别提高3.4%和2.9%。
英文摘要:
      In meteorological models, land surface processes are crucial to simulating accurate numerical patterns. The land surface can be determined by the physical properties of the soil and soil state variables. The purpose of the study was to compare a new soil map generated by Beijing Normal University (BNU) in China and an revised soil hydraulic parameters with Weather Research and Forecasting model (WRF) defaults, and value their influence on forecast skill over north China during warm season by used Noah land surface model. A 3 months (from 1 June to 31 August 2017 ) Simulations of WRF model show that the BNU soil map and the revised soil hydraulic parameters affect obvious improvements on ground meteorological elements forecasts. Loam is the dominant soil type over Eastern China in BNU soil datasets, whereas clay loam is the main one in WRF default soil datasets. Soil water content at field capacity is greater in the revised soil parameters than that in WRF defaults, this will result in enhanced direct evaporation from the top shallow soil layer. Colder 2m temperature and wetter 2m humidity are performed in the soil updated simulation because of weakened heat flux and enhanced latent heat flux from surface to the atmosphere. Evaluation against with 748 surface meteorological observation stations show that 3.4% and 2.9% of forecasting root mean square error are reduced by updated soil texture and soil parameters for 2m temperature and 2m humidity respectly.
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