Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2915-2021
https://doi.org/10.5194/hess-25-2915-2021
Research article
 | 
31 May 2021
Research article |  | 31 May 2021

Variations in surface roughness of heterogeneous surfaces in the Nagqu area of the Tibetan Plateau

Maoshan Li, Xiaoran Liu, Lei Shu, Shucheng Yin, Lingzhi Wang, Wei Fu, Yaoming Ma, Yaoxian Yang, and Fanglin Sun

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (08 Nov 2020) by Philip Brunner
AR by Li Maoshan on behalf of the Authors (12 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Nov 2020) by Philip Brunner
RR by Anonymous Referee #1 (21 Nov 2020)
RR by Anonymous Referee #3 (29 Dec 2020)
ED: Reconsider after major revisions (further review by editor and referees) (30 Dec 2020) by Philip Brunner
AR by Li Maoshan on behalf of the Authors (28 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Feb 2021) by Philip Brunner
RR by Anonymous Referee #3 (11 Mar 2021)
RR by Anonymous Referee #2 (11 Mar 2021)
ED: Publish subject to revisions (further review by editor and referees) (12 Mar 2021) by Philip Brunner
AR by Li Maoshan on behalf of the Authors (14 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 Apr 2021) by Philip Brunner
AR by Li Maoshan on behalf of the Authors (26 Apr 2021)  Author's response    Manuscript
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Short summary
In this study, using MODIS satellite data and site atmospheric turbulence observation data in the Nagqu area of the northern Tibetan Plateau, with the Massman-retrieved model and a single height observation to determine aerodynamic surface roughness, temporal and spatial variation characteristics of the surface roughness were analyzed. The result is feasible, and it can be applied to improve the model parameters of the land surface model and the accuracy of model simulation in future work.