Snow season variability in a boreal-Arctic transition area monitored by MODIS data

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...

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Published in:Environmental Research Letters
Main Authors: Eirik Malnes, Stein Rune Karlsen, Bernt Johansen, Jarle W Bjerke, Hans Tømmervik
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2016
Subjects:
Q
Online Access:https://doi.org/10.1088/1748-9326/11/12/125005
https://doaj.org/article/a04ce14a29cd46e9aa0da91c8bdb2010
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spelling ftdoajarticles:oai:doaj.org/article:a04ce14a29cd46e9aa0da91c8bdb2010 2023-09-05T13:17:51+02:00 Snow season variability in a boreal-Arctic transition area monitored by MODIS data Eirik Malnes Stein Rune Karlsen Bernt Johansen Jarle W Bjerke Hans Tømmervik 2016-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/11/12/125005 https://doaj.org/article/a04ce14a29cd46e9aa0da91c8bdb2010 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/11/12/125005 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/11/12/125005 1748-9326 https://doaj.org/article/a04ce14a29cd46e9aa0da91c8bdb2010 Environmental Research Letters, Vol 11, Iss 12, p 125005 (2016) snow MODIS first snow free day last snow free day climate change onset of spring Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2016 ftdoajarticles https://doi.org/10.1088/1748-9326/11/12/125005 2023-08-13T00:37:52Z 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. Article in Journal/Newspaper Arctic Climate change Finnmark Finnmark Troms Directory of Open Access Journals: DOAJ Articles Arctic Norway Environmental Research Letters 11 12 125005
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic snow
MODIS
first snow free day
last snow free day
climate change
onset of spring
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
spellingShingle snow
MODIS
first snow free day
last snow free day
climate change
onset of spring
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
Eirik Malnes
Stein Rune Karlsen
Bernt Johansen
Jarle W Bjerke
Hans Tømmervik
Snow season variability in a boreal-Arctic transition area monitored by MODIS data
topic_facet snow
MODIS
first snow free day
last snow free day
climate change
onset of spring
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
description 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.
format Article in Journal/Newspaper
author Eirik Malnes
Stein Rune Karlsen
Bernt Johansen
Jarle W Bjerke
Hans Tømmervik
author_facet Eirik Malnes
Stein Rune Karlsen
Bernt Johansen
Jarle W Bjerke
Hans Tømmervik
author_sort Eirik Malnes
title Snow season variability in a boreal-Arctic transition area monitored by MODIS data
title_short Snow season variability in a boreal-Arctic transition area monitored by MODIS data
title_full Snow season variability in a boreal-Arctic transition area monitored by MODIS data
title_fullStr Snow season variability in a boreal-Arctic transition area monitored by MODIS data
title_full_unstemmed Snow season variability in a boreal-Arctic transition area monitored by MODIS data
title_sort snow season variability in a boreal-arctic transition area monitored by modis data
publisher IOP Publishing
publishDate 2016
url https://doi.org/10.1088/1748-9326/11/12/125005
https://doaj.org/article/a04ce14a29cd46e9aa0da91c8bdb2010
geographic Arctic
Norway
geographic_facet Arctic
Norway
genre Arctic
Climate change
Finnmark
Finnmark
Troms
genre_facet Arctic
Climate change
Finnmark
Finnmark
Troms
op_source Environmental Research Letters, Vol 11, Iss 12, p 125005 (2016)
op_relation https://doi.org/10.1088/1748-9326/11/12/125005
https://doaj.org/toc/1748-9326
doi:10.1088/1748-9326/11/12/125005
1748-9326
https://doaj.org/article/a04ce14a29cd46e9aa0da91c8bdb2010
op_doi https://doi.org/10.1088/1748-9326/11/12/125005
container_title Environmental Research Letters
container_volume 11
container_issue 12
container_start_page 125005
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