Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.4764 |
Eleven years of ground-air temperature tracking over different land cover types | |
Cermak, Vladimir1; Bodri, Louise2; Kresl, Milan1; Dedecek, Petr1; Safanda, Jan1 | |
2017-02-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2017 |
卷号 | 37期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Czech Republic; Hungary |
英文摘要 | We have analyzed series of air, near-surface and shallow ground temperatures under four land cover types, namely bare clayey soil, sand, short-cut grass and asphalt; the samples were collected between 2002 and 2013 and monitored at the Geothermal Climate Change Observatory Sporilov, Prague (50 degrees 02.43'N, 14 degrees 28.54'E, 226 m a.s.l.). A comparison of all of the obtained temperature series revealed a strong dependence of the subsurface thermal regime on the respective surface cover material. The ground 'skin' temperature was generally warmer than the surface air temperature over all monitored surfaces; however, the temperatures over different land cover types differed significantly. Asphalt exhibited the highest temperatures, and temperatures below the grassy surface were the lowest. Special attention was paid to assessing the value of the 'temperature offset', the instant value of which sometimes varied dramatically, on both daily and annual scales, by up to 30+ K; however, on a long-time scale, the temperature offset was generally constant and reflected the surface material. The characteristic 2003-2013 mean values for the individual covers are as follows: asphalt 4.1 K, sand 1.6 K, clay 1.4K and grass 0.2 K. All four surface covers revealed typical daily and inter-annual cycles, which were monitored and are discussed in detail. Incident solar radiation was the primary variable for determining the amount and temporal changes of the temperature offset values. A linear relationship between air-ground temperature differences and incident solar radiation was detected. The mean slope of the linear regression between both variables is clearly surface cover dependent. The greatest value, 3.3K per 100W m(-2), was found for asphalt cover; rates of 1.0-1.2 apply to bare soil and sand cover, and a negative slope of -0.44K per 100W m(-2) represents grass cover. |
英文关键词 | long-term temperature monitoring land-cover materials underground climate signal borehole climatology climate change |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000393415100039 |
WOS关键词 | SURFACE-TEMPERATURE ; EMIGRANT PASS ; HEAT ; SIMULATION ; PAVEMENT ; BALANCE ; ENERGY ; WATER ; MODEL ; VEGETATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37179 |
专题 | 气候变化 |
作者单位 | 1.Acad Sci Czech Republ, Inst Geophys, Bocni 2-1401, CR-14131 Prague 4, Czech Republic; 2.Eotvos Lorand Univ, Dept Geophys, Budapest, Hungary |
推荐引用方式 GB/T 7714 | Cermak, Vladimir,Bodri, Louise,Kresl, Milan,et al. Eleven years of ground-air temperature tracking over different land cover types[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(2). |
APA | Cermak, Vladimir,Bodri, Louise,Kresl, Milan,Dedecek, Petr,&Safanda, Jan.(2017).Eleven years of ground-air temperature tracking over different land cover types.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(2). |
MLA | Cermak, Vladimir,et al."Eleven years of ground-air temperature tracking over different land cover types".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.2(2017). |
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