DOI: 10.1002/2017MS001019
Scopus记录号: 2-s2.0-85036495782
论文题名: Evaluation and Enhancement of Permafrost Modeling With the NASA Catchment Land Surface Model
作者: Tao J ; , Reichle R ; H ; , Koster R ; D ; , Forman B ; A ; , Xue Y
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 7 起始页码: 2771
结束页码: 2795
语种: 英语
英文关键词: Catchments
; NASA
; Organic carbon
; Permafrost
; Runoff
; Snow
; Soils
; Surface measurement
; Thermodynamics
; Vegetation
; Active Layer
; In-situ observations
; Land surface modeling
; Meteorological forcing
; Soil organic carbon
; Soil temperature
; Soil thermal properties
; Subsurface temperature
; Temperature
; atmospheric forcing
; buffer zone
; in situ measurement
; land cover
; organic carbon
; organic soil
; permafrost
; snow cover
; soil carbon
; soil temperature
; temperature profile
; thermodynamics
; vegetation cover
; Alaska
; United States
英文摘要: Besides soil hydrology and snow processes, the NASA Catchment Land Surface Model (CLSM) simulates soil temperature in six layers from the surface down to 13 m depth. In this study, to examine CLSM's treatment of subsurface thermodynamics, a baseline simulation produced subsurface temperatures for 1980–2014 across Alaska at 9 km resolution. The results were evaluated using in situ observations from permafrost sites across Alaska. The baseline simulation was found to capture the broad features of interannual and intraannual variations in soil temperature. Additional model experiments revealed that (i) the representativeness of local meteorological forcing limits the model's ability to accurately reproduce soil temperature and (ii) vegetation heterogeneity has a profound influence on subsurface thermodynamics via impacts on the snow physics and energy exchange at surface. Specifically, the profile-average RMSE for soil temperature was reduced from 2.96 to 2.10°C at one site and from 2.38 to 2.25°C at another by using local forcing and land cover, respectively. Moreover, accounting for the influence of soil organic carbon on the soil thermal properties in CLSM leads to further improvements in profile-average soil temperature RMSE, with reductions of 16%–56% across the different study sites. The mean bias of climatological active layer thickness is reduced by 36%–89%, and the RMSE is reduced by 11%–47%. Finally, results reveal that at some sites it may be essential to include a purely organic soil layer to obtain, in conjunction with vegetation and snow effects, a realistic “buffer zone” between the atmospheric forcing and soil thermal processes. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75710
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, United States
Recommended Citation:
Tao J,, Reichle R,H,et al. Evaluation and Enhancement of Permafrost Modeling With the NASA Catchment Land Surface Model[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)