globalchange  > 影响、适应和脆弱性
DOI: 10.1088/1748-9326/11/12/125005
论文题名:
Snow season variability in a boreal-Arctic transition area monitored by MODIS data
作者: Eirik Malnes; Stein Rune Karlsen; Bernt Johansen; Jarle W Bjerke; Hans Tømmervik
刊名: Environmental Research Letters
ISSN: 1748-9326
出版年: 2016
发表日期: 2016-11-29
卷: 11, 期:12
语种: 英语
英文摘要:

The duration and extent of snow cover is expected to change rapidly with climate change. Therefore, there is a need for improved monitoring of snow for the benefit of forecasting, impact assessments and the population at large. Remotely sensed techniques prove useful for remote areas where there are few field-based monitoring stations. This paper reports on a study of snow season using snow cover area fraction data from the two northernmost counties in Norway, Troms and Finnmark. The data are derived from the daily 500 m standard snow product (MOD10A1) from the NASA Terra MODerate Resolution Imaging Spectroradiometer (MODIS) sensor for the 2000–2010 period. This dataset has been processed with multi-temporal interpolation to eliminate clouds. The resulting cloud-free daily time series of snow cover fraction maps, have subsequently been used to derive the first and last snow-free day for the entire study area. In spring, the correlation between the first snow-free day mapped by MODIS data and snow data from 40 meteorological stations was highly significant (p < 0.05) for 36 of the stations, and with a of bias of less than 10 days for 34 of the stations. In autumn, 31 of the stations show highly significant (p < 0.05) correlation with MODIS data, and the bias was less than 10 days for 27 of the stations. However, in some areas and some years, the start and end of the snow season could not be detected due to long overcast periods. In spring 2002 and 2004 the first snow-free day was early, but arrived late in 2000, 2005 and 2008. In autumn 2009 snowfall arrived more than 7 days earlier in 50% of the study area as compared to the 2000–2010 average. MODIS-based snow season products will be applicable for a wide range of sectors including hydrology, nature-based industries, climate change studies and ecology. Therefore refinement and further testing of this method should be encouraged.

URL: http://iopscience.iop.org/article/10.1088/1748-9326/11/12/125005
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/14050
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Malnes_2016_Environ._Res._Lett._11_125005.pdf(6506KB)期刊论文作者接受稿开放获取View Download

作者单位: Northern Research Institute (Norut), PO Box 6434 Forskningsparken N-9294 Tromsø, Norway;Northern Research Institute (Norut), PO Box 6434 Forskningsparken N-9294 Tromsø, Norway;Northern Research Institute (Norut), PO Box 6434 Forskningsparken N-9294 Tromsø, Norway;Norwegian institute for nature research (NINA), FRAM—High North Research Centre for Climate and the Environment, PO Box 6606 Langnes, N-9296 Tromsø, Norway;Norwegian institute for nature research (NINA), FRAM—High North Research Centre for Climate and the Environment, PO Box 6606 Langnes, N-9296 Tromsø, Norway

Recommended Citation:
Eirik Malnes,Stein Rune Karlsen,Bernt Johansen,et al. Snow season variability in a boreal-Arctic transition area monitored by MODIS data[J]. Environmental Research Letters,2016-01-01,11(12)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Eirik Malnes]'s Articles
[Stein Rune Karlsen]'s Articles
[Bernt Johansen]'s Articles
百度学术
Similar articles in Baidu Scholar
[Eirik Malnes]'s Articles
[Stein Rune Karlsen]'s Articles
[Bernt Johansen]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Eirik Malnes]‘s Articles
[Stein Rune Karlsen]‘s Articles
[Bernt Johansen]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: Malnes_2016_Environ._Res._Lett._11_125005.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.