DOI: 10.5194/tc-9-411-2015
Scopus记录号: 2-s2.0-84928107516
论文题名: Large-area land surface simulations in heterogeneous terrain driven by global data sets: Application to mountain permafrost
作者: Fiddes J ; , Endrizzi S ; , Gruber S
刊名: Cryosphere
ISSN: 19940416
出版年: 2015
卷: 9, 期: 1 起始页码: 411
结束页码: 426
语种: 英语
英文关键词: air temperature
; complex terrain
; data set
; depth determination
; heterogeneity
; land surface
; mountain region
; numerical model
; permafrost
; precipitation (climatology)
; snowpack
; surface temperature
; topography
; Alps
; Switzerland
英文摘要: Numerical simulations of land surface processes are important in order to perform landscape-scale assessments of earth systems. This task is problematic in complex terrain due to (i) high-resolution grids required to capture strong lateral variability, and (ii) lack of meteorological forcing data where they are required. In this study we test a topography and climate processor, which is designed for use with large-area land surface simulation, in complex and remote terrain. The scheme is driven entirely by globally available data sets. We simulate air temperature, ground surface temperature and snow depth and test the model with a large network of measurements in the Swiss Alps. We obtain root-mean-squared error (RMSE) values of 0.64 °C for air temperature, 0.67-1.34 °C for non-bedrock ground surface temperature, and 44.5 mm for snow depth, which is likely affected by poor input precipitation field. Due to this we trial a simple winter precipitation correction method based on melt dates of the snowpack. We present a test application of the scheme in the context of simulating mountain permafrost. The scheme produces a permafrost estimate of 2000 km2, which compares well to published estimates. We suggest that this scheme represents a useful step in application of numerical models over large areas in heterogeneous terrain. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75334
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
There are no files associated with this item.
作者单位: Department of Geography, University of Zurich, Zurich, Switzerland; Department of Geography and Environmental Studies, Carleton University, Ottawa, Canada
Recommended Citation:
Fiddes J,, Endrizzi S,, Gruber S. Large-area land surface simulations in heterogeneous terrain driven by global data sets: Application to mountain permafrost[J]. Cryosphere,2015-01-01,9(1)