globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2013JD020597
论文题名:
A simple framework to estimate distributed soil temperature from discrete air temperature measurements in data-scarce regions
作者: Liang L.L.; Riveros-Iregui D.A.; Emanuel R.E.; McGlynn B.L.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2014
卷: 119, 期:2
起始页码: 407
结束页码: 417
语种: 英语
英文关键词: air temperature ; data-scarce regions ; model ; mountain area ; soil temperature ; Tenderfoot Creek
Scopus关键词: Atmospheric temperature ; Estimation ; Models ; Air temperature ; data-scarce regions ; mountain area ; Soil temperature ; Tenderfoot Creek ; Temperature measurement ; air temperature ; digital elevation model ; interpolation ; mountain region ; soil temperature ; spatial distribution ; topography
英文摘要: Soil temperature is a key control on belowground chemical and biological processes. Typically, models of soil temperature are developed and validated for large geographic regions. However, modeling frameworks intended for higher spatial resolutions (much finer than 1 km2) are lacking across areas of complex topography. Here we propose a simple modeling framework for predicting distributed soil temperature at high temporal (i.e., 1 h steps) and spatial (i.e., 5 × 5 m) resolutions in mountainous terrain, based on a few discrete air temperature measurements. In this context, two steps were necessary to estimate the soil temperature. First, we applied the potential temperature equation to generate the air temperature distribution from a 5 m digital elevation model and Inverse Distance Weighting interpolation. Second, we applied a hybrid model to estimate the distribution of soil temperature based on the generated air temperature surfaces. Our results show that this approach simulated the spatial distribution of soil temperature well, with a root-mean-square error ranging from ~2.1 to 2.9°C. Furthermore, our approach predicted the daily and monthly variability of soil temperature well. The proposed framework can be applied to estimate the spatial variability of soil temperature in mountainous regions where direct observations are scarce. Key Points We propose a simple framework for predicting soil temperature The model generates soil temperature at high spatio-temporal resolutions The model is ideal for remote areas where measurements are scarce ©2013. American Geophysical Union. All Rights Reserved.
资助项目: 2012-67019-19360 ; EAR-0404130
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63066
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: School of Natural Resources, University of Nebraska-Lincoln, Lincoln NE, United States; Botany and Plant Sciences, University of California, Riverside CA, United States; Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill NC, United States; Department of Forestry and Environmental Resources, North Carolina State University at Raleigh, Raleigh NC, United States; Nicholas School of the Environment, Duke University, Durham NC, United States

Recommended Citation:
Liang L.L.,Riveros-Iregui D.A.,Emanuel R.E.,et al. A simple framework to estimate distributed soil temperature from discrete air temperature measurements in data-scarce regions[J]. Journal of Geophysical Research Atmospheres,2014-01-01,119(2)
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