DOI: 10.1175/JCLI-D-13-00591.1
Scopus记录号: 2-s2.0-84916206430
论文题名: Impact of soil moisture-atmosphere interactions on surface temperature distribution
作者: Berg A. ; Lintner B.R. ; Findell K.L. ; Malyshev S. ; Loikith P.C. ; Gentine P.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 21 起始页码: 7976
结束页码: 7993
语种: 英语
Scopus关键词: Climate models
; Computer simulation
; Distribution functions
; Dynamics
; Earth (planet)
; Heat flux
; Higher order statistics
; Probability density function
; Probability distributions
; Soil moisture
; Surface properties
; Temperature distribution
; Atmosphere-land interactions
; Climate variability
; Extreme temperature events
; Geophysical fluid dynamics laboratories
; Hydrometeorology
; Sensible and latent heat fluxes
; Surface temperature distribution
; Surface temperatures
; Atmospheric temperature
; atmosphere-biosphere interaction
; climate variation
; extreme event
; hydrometeorology
; latent heat flux
; probability density function
; sensible heat flux
; soil moisture
; surface temperature
; timescale
英文摘要: Understanding how different physical processes can shape the probability distribution function (PDF) of surface temperature, in particular the tails of the distribution, is essential for the attribution and projection of future extreme temperature events. In this study, the contribution of soil moisture-atmosphere interactions to surface temperature PDFs is investigated. Soil moisture represents a key variable in the coupling of the land and atmosphere, since it controls the partitioning of available energy between sensible and latent heat flux at the surface. Consequently, soil moisture variability driven by the atmosphere may feed back onto the near-surface climate-in particular, temperature. In this study, two simulations of the current-generation Geophysical Fluid Dynamics Laboratory (GFDL) Earth System Model, with and without interactive soil moisture, are analyzed in order to assess how soil moisture dynamics impact the simulated climate. Comparison of these simulations shows that soil moisture dynamics enhance both temperature mean and variance over regional "hotspots" of land-atmosphere coupling.Moreover, higher-order distribution moments, such as skewness and kurtosis, are also significantly impacted, suggesting an asymmetric impact on the positive and negative extremes of the temperature PDF. Such changes are interpreted in the context of altered distributions of the surface turbulent and radiative fluxes. That the moments of the temperature distribution may respond differentially to soil moisture dynamics underscores the importance of analyzing moments beyond the mean and variance to characterize fully the interplay of soil moisture and near-surface temperature. In addition, it is shown that soil moisture dynamics impacts daily temperature variability at different time scales over different regions in the model. © 2014 American Meteorological Society. 资助项目: NSF, National Science Foundation
; NSF, National Science Foundation
; DOC, National Science Foundation
; NASA, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51013
Appears in Collections: 气候变化事实与影响
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作者单位: Rutgers, The State University of New Jersey, New Brunswick, NJ, United States; Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Rutgers, The State University of New Jersey, New Brunswick, NJ, United States; Princeton University, Princeton, NJ, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Columbia University, New York, NY, United States; International Research for Climate and Society (IRI), The Earth Institute at Columbia University, Palisades, NY, United States
Recommended Citation:
Berg A.,Lintner B.R.,Findell K.L.,et al. Impact of soil moisture-atmosphere interactions on surface temperature distribution[J]. Journal of Climate,2014-01-01,27(21)