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阿吉古丽.沙依提,王豫,买买提艾力.买买提依明.Noah-MP陆面模式在东疆黑戈壁的适用性[J].沙漠与绿洲气象,2023,17(5):19~27
Noah-MP陆面模式在东疆黑戈壁的适用性
Applicability of Noah-MP land surface model in the Black Gobi of Eastern Xinjiang
投稿时间:2023-04-02  修订日期:2023-05-26
DOI:10.12057/j.issn.1002-0799.2023.05.003
中文关键词:  黑戈壁  陆面过程参数化方案  Noah-MP模式
英文关键词:East Xinjiang Black Gobi  Land surface process parameterization scheme  Noah mode  
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作者单位E-mail
阿吉古丽.沙依提   
王豫   
买买提艾力.买买提依明* 中国气象局乌鲁木齐沙漠气象研究所 ali@idm.cn 
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中文摘要:
      新疆东部黑戈壁作为气候恶劣、人迹罕至及黑色砾石下垫面的生态脆弱区,陆面过程参数化方案不易确定。利用东疆哈密戈壁陆气相互作用站观测数据集,开展Noah-MP陆面模式离线模拟试验,找出适合戈壁区域的最佳参数化方案,并给出了土壤湿度对戈壁区域陆气热交换的影响。结果表明:(1)针对感热通量、潜热通量、净辐射通量和土壤地表温度均表现为第二种参数化方案组合的模拟误差最小,模式效率最高。(2)模式针对土壤湿度的模拟效果均不好,模式预报土壤湿度偏干,第七种方案的模式效率指数较高。(3)针对土壤10 cm温度,第一种方案虽预报效率指数最高,但误差达1.2 ℃左右,第二种方案是模拟和实测误差最小的一种方案,模式预报结果比实测低0.4 ℃。综上所述,第二种方案在东疆黑戈壁地区的普适性最高。(4)Noah-MP在RMAPS-CA系统中在线耦合后,2 m温度的预报效果整体要优于离线Noah模式。
英文摘要:
      As an ecologically fragile area with severe climate, few people and black gravel underlying in the Eastern Gobi Region of Xinjiang, the land surface process parameterization scheme is not easy to determine. Based on the observation data set of land-air interaction, Noah and Noah-MP offline simulation tests were carried out to find out the best parameterization scheme suitable for the Gobi region, and the effect of soil moisture on land-air heat exchange in the Gobi region was given. The conclusions are as follows : (1) for sensible heat flux, latent heat flux, net radiation flux and soil surface temperature, the simulation error of the second parameterized scheme combination is the smallest, and the model efficiency is the highest. (2) The simulation effect of the model for soil moisture is not good, the model forecast soil moisture is dry, and the model efficiency index of the seventh scheme is high. (3) For the soil temperature of 10 cm, the first scheme has the highest efficiency index, but the error is about 1.2 ℃, while the second scheme has the smallest error between simulation and measurement, and the model prediction result is 0.4 ℃ lower than the measurement. To sum up, the second scheme has the highest universality in the Hei Gobi region of eastern Xinjiang. (4) After Noah-MP is coupled online in RMAPS-CA system, the prediction effect of temperature at 2 m is better than that of offline Noah model.
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