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

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Snow season variability in a boreal-Arctic transition area monitored by MODIS data
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CC Attribution 3.0 Unported:
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2016
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English

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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.

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next figure we have calculated the 1st day of spring on the 1st day of all time that that is the 1st day without snow on the 1st day with snow in 2 thousand 6 for the entire study area we use the range that is the number of days since the last cloud-free punctuation in both spring and autumn has a quality measure the number of snow-free days are also calculate and we'll social the counts the number of cloud-free days over the whole year next figure shows the me
in the 1st free is now free day and calculated using all of the years away not we see that this the 1st snow-free Dana cursor couriers at the coast and then in the continental regions the last 3rd of the area said without snow in the man who anxious we can also use a
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