Evaluation on Modeling of Land-Atmosphere Interaction in the Northern Marginal Zone of Taklimakan Desert with CoLM and Correction

doi:10.7522/j.issn.1000-694X.2018.00004

Journal of Desert Research ›› 2018, Vol. 38 ›› Issue (6): 1287-1302.DOI: 10.7522/j.issn.1000-694X.2018.00004

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Evaluation on Modeling of Land-Atmosphere Interaction in the Northern Marginal Zone of Taklimakan Desert with CoLM and Correction

Jin Lili¹, Li Zhenjie², He Qing¹, Liu Yongqiang³, Ali Mamtimin¹, Xin Yu¹

1. Taklimakan Desert Meteorology Field Experiment Station of CMA, Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;
2. Lincang Meteorological Bureau, Lincang 677099, Yunnan, China;
3. College of Resources & Environmental Science/Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China

Received:2017-08-31 Revised:2018-01-25 Online:2018-11-20 Published:2018-12-05

Abstract

Abstract: In this study, observation data during 22 March to 26 July, 2011 were used to simulate the land-atmosphere flux and test the sensitivity of simulation by different surface land parameters, such as surface albedo(α), surface emissivity(ε), aerodynamic roughness length(z_0m), thermal roughness length(z_0h) and zero plane displacement(d). Sensitivity tests indicate that sensible heat flux(H) and soil temperature(T_g) are sensitive toα, z_0m, ε but d. The study site representes the desert underlying surface of the northern marginal zone of the Taklimakan Desert with shifting sand dunes. CoLM model can simulate the average variation of net radiation (R_n), soil heat flux(G₀), sensible heat flux(H) and surface soil temperate(T_g). Only in the peak values and peak time of diurnal variation are not ideal. However, CoLM model on soil moisture perform poor. Furthermore, the statistical errors Bias, SEE, NSEE of R_n, H, T_g decreased according to the improved model, particularly. In particular, the statistical errors SEE of R_n decreased 4.21% than default model; the statistical errors Bias of H decreased 25.19% than default model; the statistical errors Bias, SEE and NSEE of T_g decreased 33.33%, 10.45% and 25%.

Key words: Common Land Model(CoLM), numerical simulation, Taklimakan Desert

CLC Number:

P422.4

Jin Lili, Li Zhenjie, He Qing, Liu Yongqiang, Ali Mamtimin, Xin Yu. Evaluation on Modeling of Land-Atmosphere Interaction in the Northern Marginal Zone of Taklimakan Desert with CoLM and Correction[J]. Journal of Desert Research, 2018, 38(6): 1287-1302.

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Evaluation on Modeling of Land-Atmosphere Interaction in the Northern Marginal Zone of Taklimakan Desert with CoLM and Correction

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