DOI: 10.1029/2018JD028283
Scopus记录号: 2-s2.0-85052796252
论文题名: Characterization of Remote Sensing Albedo Over Sloped Surfaces Based on DART Simulations and In Situ Observations
作者: Wu S. ; Wen J. ; You D. ; Hao D. ; Lin X. ; Xiao Q. ; Liu Q. ; Gastellu-Etchegorry J.-P.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 16 起始页码: 8599
结束页码: 8622
语种: 英语
英文关键词: albedo
; DART
; ground measurement
; remote sensing
; rugged sloped surface
; terrain
英文摘要: In situ albedo measurement over sloped surfaces is pivotal to a wide range of remote sensing applications, such as the estimation and evaluation of surface energy budget at regional and global scales. However, existing albedo measurements over rugged terrain are limited and controversial and remain a major challenge. In this paper, two commonly measured broadband albedos, which depend on incoming/outgoing geometric conditions, were characterized over sloped surfaces and illustrated. These albedos are the horizontal/horizontal sloped surface albedo (HHSA) and inclined/inclined sloped surface albedo (IISA). The 3-D Discrete Anisotropic Radiative Transfer (DART) model simulations over varying slopes were utilized to quantify differences in the albedos. In particular, the effects of the slope, aspect, the solar zenith angle, and the proportion of diffuse skylight were investigated. The results show that absolute (relative) biases between HHSA and IISA are significant, reaching up to 0.026 (61.8%), 0.134 (62.4%), and 0.114 (62.3%) in the visible, near-infrared, and shortwave broadbands, respectively. In addition, the diurnal cycle differences between HHSA and IISA were also compared using DART simulations and in situ observations over four typical slopes. Comparisons reveal that topographic parameters (e.g., slope and aspect) and atmospheric conditions (e.g., diffuse skylight and atmospheric visibility) are the primary factors, while the optical and structural parameters have a smaller effect. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113250
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; Joint Center for Global Change Studies, Beijing Normal University, Beijing, China; Joint Center for Global Change Studies, Beijing, China; Centre d'Etudes Spatiales de la BIOsphère-CNES, CNRS, IRD, Université de Toulouse, Toulouse, France
Recommended Citation:
Wu S.,Wen J.,You D.,et al. Characterization of Remote Sensing Albedo Over Sloped Surfaces Based on DART Simulations and In Situ Observations[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(16)