DOI: 10.1007/s00382-015-2810-z
Scopus记录号: 2-s2.0-84940883511
论文题名: A physically-based hybrid framework to estimate daily-mean surface fluxes over complex terrain
作者: Huang H.-Y. ; Hall A.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-11-12 起始页码: 3883
结束页码: 3897
语种: 英语
英文关键词: Dynamical downscaling
; Near-surface wind
; Statistical downscaling
; Surface fluxes
英文摘要: In this study we developed and examined a hybrid modeling approach integrating physically-based equations and statistical downscaling to estimate fine-scale daily-mean surface turbulent fluxes (i.e., sensible and latent heat fluxes) for a region of southern California that is extensively covered by varied vegetation types over a complex terrain. The selection of model predictors is guided by physical parameterizations of surface flux used in land surface models and analysis showing net shortwave radiation that is a major source of variability in the surface energy budget. Through a structure of multivariable regression processes with an application of near-surface wind estimates from a previous study, we successfully reproduce dynamically-downscaled 3 km resolution surface flux data. The overall error in our estimates is less than 20 % for both sensible and latent heat fluxes, while slightly larger errors are seen in high-altitude regions. The major sources of error in estimates include the limited information provided in coarse reanalysis data, the accuracy of near-surface wind estimates, and an ignorance of the nonlinear diurnal cycle of surface fluxes when using daily-mean data. However, with reasonable and acceptable errors, this hybrid modeling approach provides promising, fine-scale products of surface fluxes that are much more accurate than reanalysis data, without performing intensive dynamical simulations. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53722
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, United States; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, United States
Recommended Citation:
Huang H.-Y.,Hall A.. A physically-based hybrid framework to estimate daily-mean surface fluxes over complex terrain[J]. Climate Dynamics,2016-01-01,46(2017-11-12)