Spatiotemporal variations in the difference between satellite-observed daily maximum land surface temperature and station-based daily maximum near-surface air temperature
文献类型：期刊论文
| 作者 | Lian, X (Lian, Xu)1; Zeng, ZZ (Zeng, Zhenzhong)1; Yao, YT (Yao, Yitong)1; Peng, SS (Peng, Shushi)1; Wang, KC (Wang, Kaicun)2; Piao, SL (Piao, Shilong)1,3,4; Piao, SL |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2017 |
| 卷号 | 122期号:4页码:2254-2268 |
| 关键词 | METEOROLOGICAL STATIONS UNITED-STATES MODIS DATA CLIMATE SKIN FEEDBACKS TRENDS COVER SPACE INDEX |
| DOI | 10.1002/2016JD025366 |
| 文献子类 | Article |
| 英文摘要 | There is an increasing demand to integrate land surface temperature (LST) into climate research due to its global coverage, which requires a comprehensive knowledge of its distinctive characteristics compared to near-surface air temperature (Tair). Using satellite observations and in situ station-based data sets, we conducted a global-scale assessment of the spatial and seasonal variations in the difference between daily maximum LST and daily maximum Tair (delta(T), LST - Tair) during 2003-2014. Spatially, LST is generally higher than Tair over arid and sparsely vegetated regions in the middle-low latitudes, but LST is lower than Tair in tropical rainforests due to strong evaporative cooling, and in the high-latitude regions due to snow-induced radiative cooling. Seasonally, delta(T) is negative in tropical regions throughout the year, while it displays a pronounced seasonality in both the midlatitudes and boreal regions. The seasonality in the midlatitudes is a result of the asynchronous responses of LST and Tair to the seasonal cycle of radiation and vegetation abundance, whereas in the boreal regions, seasonality is mainly caused by the change in snow cover. Our study identified substantial spatial heterogeneity and seasonality in delta(T), as well as its determinant environmental drivers, and thus provides a useful reference for monitoring near-surface air temperature changes using remote sensing, particularly in remote regions. |
| 学科主题 | 普通生物学 |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000396121200013 |
| 源URL | [http://ir.itpcas.ac.cn/handle/131C11/8329]  |
| 专题 | 青藏高原研究所_图书馆 |
| 通讯作者 | Piao, SL |
| 作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing, Peoples R China. 2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China. 3.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China. 4.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Lian, X ,Zeng, ZZ ,Yao, YT ,et al. Spatiotemporal variations in the difference between satellite-observed daily maximum land surface temperature and station-based daily maximum near-surface air temperature[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(4):2254-2268. |
| APA | Lian, X .,Zeng, ZZ .,Yao, YT .,Peng, SS .,Wang, KC .,...&Piao, SL.(2017).Spatiotemporal variations in the difference between satellite-observed daily maximum land surface temperature and station-based daily maximum near-surface air temperature.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(4),2254-2268. |
| MLA | Lian, X ,et al."Spatiotemporal variations in the difference between satellite-observed daily maximum land surface temperature and station-based daily maximum near-surface air temperature".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.4(2017):2254-2268. |
入库方式： OAI收割
来源：青藏高原研究所
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