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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0169423
论文题名:	Quantification of Local Warming Trend: A Remote Sensing-Based Approach
作者:	Khan Rubayet Rahaman; Quazi K. Hassan
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2017
发表日期:	2017-1-10
卷:	12, 期:1
语种:	英语
英文关键词:	Surface temperature ; Weather stations ; Data acquisition ; Alberta ; Climate change ; Temperature analysis ; Composite images ; Remote sensing
英文摘要:	Understanding the warming trends at local level is critical; and, the development of relevant adaptation and mitigation policies at those levels are quite challenging. Here, our overall goal was to generate local warming trend map at 1 km spatial resolution by using: (i) Moderate Resolution Imaging Spectroradiometer (MODIS)-based 8-day composite surface temperature data; (ii) weather station-based yearly average air temperature data; and (iii) air temperature normal (i.e., 30 year average) data over the Canadian province of Alberta during the period 1961–2010. Thus, we analysed the station-based air temperature data in generating relationships between air temperature normal and yearly average air temperature in order to facilitate the selection of year-specific MODIS-based surface temperature data. These MODIS data in conjunction with weather station-based air temperature normal data were then used to model local warming trends. We observed that almost 88% areas of the province experienced warming trends (i.e., up to 1.5°C). The study concluded that remote sensing technology could be useful for delineating generic trends associated with local warming.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0169423&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/25731
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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journal.pone.0169423.pdf（2799KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada;Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada

Recommended Citation:

Khan Rubayet Rahaman,Quazi K. Hassan. Quantification of Local Warming Trend: A Remote Sensing-Based Approach[J]. PLOS ONE,2017-01-01,12(1)

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