气候变化领域集成服务门户(CCPortal): Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the U.S. Southern Great Plains

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DOI	10.1029/2019JD032255
	Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the U.S. Southern Great Plains
	Williams I.N.; Lee J.M.; Tadić J.; Zhang Y.; Chu H.
发表日期	2020
ISSN	2169897X
卷号	125 期号:13
英文摘要	Advances in numerical modeling of cloud dynamics are driving a need for improved land model prediction at convective storm scales. In this study, satellite and ground-based vegetation remote sensing data were combined with land model experiments to more accurately characterize land surface spatial heterogeneity in the Community Land Model (CLM4.0). The new subgrid classification of plant functional types (PFT) and leaf area index (LAI) enables consistent comparison between models and ground-based flux measurements in the U.S. southern Great Plains. Errors in vegetation data sets (inferred from comparison between 250 m satellite and ground-based LAI), while large, had less impact on the simulated characteristics of spatial heterogeneity compared to errors in model representation of surface energy partitioning (between latent and sensible heat flux) and its relationship to LAI. Predicted spatial heterogeneity in surface energy partitioning was enhanced after replacing soil and stomatal resistance parameters with a new set that better predicts the observed relationship to LAI. These modifications increase the number of smaller (mesoscale) dry land patches having higher sensible heat flux. The parameter experiments suggest that vegetation state and processes (transpiration) act to broaden the size spectrum of surface heat flux heterogeneity, which can influence clouds and convective initiation. Moreover, improvements in vegetation input data and model parameters had partially compensating effects on surface flux heterogeneity, indicating the importance of evaluating input data and parameterizations together to improve prediction at higher spatial resolutions. ©2020. American Geophysical Union. All Rights Reserved.
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185949
作者单位	Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Lawrence Livermore National Laboratory, Livermore, CA, United States
推荐引用方式 GB/T 7714	Williams I.N.,Lee J.M.,Tadić J.,et al. Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the U.S. Southern Great Plains[J],2020,125(13).
APA	Williams I.N.,Lee J.M.,Tadić J.,Zhang Y.,&Chu H..(2020).Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the U.S. Southern Great Plains.Journal of Geophysical Research: Atmospheres,125(13).
MLA	Williams I.N.,et al."Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the U.S. Southern Great Plains".Journal of Geophysical Research: Atmospheres 125.13(2020).