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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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 |
_version_ |
1776198856148516864 |