Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026581 |
Improving representation of canopy temperatures for modeling subcanopy incoming longwave radiation to the snow surface | |
Webster, Clare1,2; Rutter, Nick1; Jonas, Tobias2 | |
2017-09-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:17 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Switzerland |
英文摘要 | A comprehensive analysis of canopy surface temperatures was conducted around a small and large gap at a forested alpine site in the Swiss Alps during the 2015 and 2016 snowmelt seasons (March-April). Canopy surface temperatures within the small gap were within 2-3 degrees C of measured reference air temperature. Vertical and horizontal variations in canopy surface temperatures were greatest around the large gap, varying up to 18 degrees C above measured reference air temperature during clear-sky days. Nighttime canopy surface temperatures around the study site were up to 3 degrees C cooler than reference air temperature. These measurements were used to develop a simple parameterization for correcting reference air temperature for elevated canopy surface temperatures during (1) nighttime conditions (subcanopy shortwave radiation is 0 W m(-2)) and (2) periods of increased subcanopy shortwave radiation > 400 W m(-2) representing penetration of shortwave radiation through the canopy. Subcanopy shortwave and longwave radiation collected at a single point in the subcanopy over a 24 h clear-sky period was used to calculate a nighttime bulk offset of 3 degrees C for scenario 1 and develop a multiple linear regression model for scenario 2 using reference air temperature and subcanopy shortwave radiation to predict canopy surface temperature with a root-mean-square error (RMSE) of 0.7 degrees C. Outside of these two scenarios, reference air temperature was used to predict subcanopy incoming longwave radiation. Modeling at 20 radiometer locations throughout two snowmelt seasons using these parameterizations reduced the mean bias and RMSE to below 10 W m s(-2) at all locations. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000416387300012 |
WOS关键词 | FOREST CANOPIES ; THERMAL IMAGERY ; EMISSIVITY |
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/33402 |
专题 | 气候变化 |
作者单位 | 1.Northumbria Univ, Sch Engn & Environm, Dept Geog, Newcastle Upon Tyne, Tyne & Wear, England; 2.WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland |
推荐引用方式 GB/T 7714 | Webster, Clare,Rutter, Nick,Jonas, Tobias. Improving representation of canopy temperatures for modeling subcanopy incoming longwave radiation to the snow surface[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(17). |
APA | Webster, Clare,Rutter, Nick,&Jonas, Tobias.(2017).Improving representation of canopy temperatures for modeling subcanopy incoming longwave radiation to the snow surface.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(17). |
MLA | Webster, Clare,et al."Improving representation of canopy temperatures for modeling subcanopy incoming longwave radiation to the snow surface".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.17(2017). |
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