DOI: 10.2166/wcc.2017.027
论文题名: Predicting soil temperature by applying atmosphere general circulation data in west Iran
作者: Maryanaji Z. ; Merrikhpour H. ; Abbasi H.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2017
卷: 8, 期: 2 起始页码: 203
结束页码: 218
语种: 英语
英文关键词: Atmospheric general circulation
; Downscale
; LARS-WG model
; Regression
; Soil temperature
英文摘要: The main objective of this study is to develop a general methodology for predicting soil temperature based on general circulation data. To meet this demand, we used temperature data that can be profitably used to predict soil temperature in a period of 20 years. Accordingly, air temperature data were downscaled to 2016–2025 based on LARS-WG data. The obtained results indicated that the model has precisely predicted minimal and maximal temperatures. According to the results, the best correlation methods are S, cubic, and quadratic. To investigate soil temperature changes, the predicted data were classified and categorized into two separate decades (2016–2025 and 2026–2035). The results showed that air temperature increases to 1W C and 1.2W C in the first decade (2016–2025) and the second decade (2026–2035), respectively, but varies in different regions. The predicted air temperature is lower in the eastern part of the region. In the central region, air and soil temperatures are predicted to be greater than that of other regions. It should also be mentioned that a variety of temperature changes are related to the depth of soil. © IWA Publishing 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67555
Appears in Collections: 气候减缓与适应
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作者单位: Department of Geography, Sayyed Jamaleddin Asadabadi University, Asadabad, Iran; Department of Agriculture, Sayyed Jamaleddin Asadabadi University, Asadabad, Iran; Department of Geography, Lorestan UniversityLorestan, Iran
Recommended Citation:
Maryanaji Z.,Merrikhpour H.,Abbasi H.. Predicting soil temperature by applying atmosphere general circulation data in west Iran[J]. Journal of Water and Climate Change,2017-01-01,8(2)