Variations of Surface Roughness on Different Underlying Surface at Nagqu Area over the Qinghai-Tibetan Plateau

LIU Xiaoran; LI Maoshan; HU Wenbin

doi:10.7522/j.issn.1000-0534.2018.00083

Plateau Meteorology >

2019 , Vol. 38 >Issue 2: 428 - 438

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00083

Variations of Surface Roughness on Different Underlying Surface at Nagqu Area over the Qinghai-Tibetan Plateau

LIU Xiaoran ,
LI Maoshan ,
HU Wenbin

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School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China;Unit No.96751 of PLA, Dalian 116600, Liaoning, China

Received date: 2018-05-16

Online published: 2019-04-28

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Abstract

Using the MODIS satellite data and three site turbulent data of the Nagqu region in northern Qinghai-Tibetan plateau in 2008, 2010 and 2012, with the Massman inversion model and an independent method to determine aerodynamic surface roughness, calculate and analyze the dynamic change laws of aerodynamic roughness length and verify the inversion model.The results show that the aerodynamic roughness length has a dynamic monthly change.From February to August, Z_0m increases constantly with the ablation of snow and vegetation growth, and the maximum value of sites reaches 4~5 cm.From September to February, due to the post-monsoon over the plateau, Z_0m gradually decreased, and the values decreased to about 1~2 cm.Snowfall is the main reason why Z_0m during this period is significantly lower than normal.The underlying surface can be divided into four categories according to the different values of Z_0m:ice and snow, sparse grassland, lush grassland, and urban.Among them, sparse grassland and lush grassland account for 62.49% and 33.74% of underlying surface of the region respectively, and they are the main categories, whose Z_0m fluctuate between 2~6 cm and 1~4 cm.The results obtained by the two calculation methods are positively related to each other.Due to the average sliding effect, the inversion results are smaller than the site calculation results.Overall, the way of calculating Z_0m using satellite data in an inversion method is feasible and can be applied to improve the land surface model parameters, the accuracy of the model simulation, and better reveal the heat flux exchange.

Key words： Northern Qinghai-Tib; surface roughness; NDVI; MODIS

Cite this article

LIU Xiaoran , LI Maoshan , HU Wenbin . Variations of Surface Roughness on Different Underlying Surface at Nagqu Area over the Qinghai-Tibetan Plateau[J]. Plateau Meteorology, 2019 , 38(2) : 428 -438 . DOI: 10.7522/j.issn.1000-0534.2018.00083

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