| Cite this article: | 周耀坤,邢万秋.基于改进PT-hybrid算法的地表潜热通量变化分析[J].灌溉排水学报,0,():-. |
| Zhou Yaokun,XING Wanqiu.基于改进PT-hybrid算法的地表潜热通量变化分析[J].灌溉排水学报,0,():-. |
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| Analysis of terrestrial latent heat flux based on improved PT-hybrid algorithm |
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Zhou Yaokun, XING Wanqiu
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Hohai University
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| Abstract: |
| Latent heat flux () impacts the terrestrial ecosystem carbon dynamics and energy budget. It is of great practical significance to improve the inversion accuracy of surface latent heat flux corresponding to plant functional type (PFTs) for exploring the eco-hydrological process. Here a dynamic vegetation model-LPJ-GUESS model is applied to improve satellite-based PT-hybrid algorithm, with a parameter , which represents proportions of different PFTs, introduced to characterize the proportions of different PFTs. Validation results showed that the square of correlation coefficient (R2) increased from 0.63 to 0.74 and the root mean square error (RMSE) decreased from 17.1 to 11.7 based on the globally distributed 49 flux tower sites. In addition, we estimated the global LE during 1982-2014 by the improved algorithm and found that the LE in low latitudes was generally higher than that in middle and high latitudes. Meanwhile, LE also showed complex distributions at the same latitude. In this paper, the sub-pixel method is coupled with LE algorithm for the first time. The improved model significantly improves the simulation accuracy of surface latent heat flux, which is helpful to describe the spatial-temporal distribution characteristics of surface LE. |
| Key words: PT-hybrid algorithm; dynamic vegetation model; latent heat flux; sub-pixel; spatial-temporal evolution characteristics |
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