Minimum Snow/Ice Extent over the Northern Circumpolar Landmass in 2000-19: How Much Snow Survives the Summer Melt?

A novel satellite image processing technique has been utilized to produce annual time series of the minimum snow/ice extent over the northern circumpolar landmass for 2000–2019.

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Creator Alexander P. Trishchenko and Calin Ungureanu
Summary A novel satellite image processing technique developed at the Canada Centre for Remote Sensing has been utilized to produce annual time series of the minimum snow/ice (MSI) extent over the northern circumpolar landmass area (9,000 km × 9,000 km) for 2000–19. The information has been derived from the Moderate Resolution Imaging Spectroradiometer 10-day clear-sky composites generated at 250-m spatial resolution over the April–September period. Derived interannual variations agree very well with the warm-season average surface air temperatures from the European reanalysis (ERA5). The region-average correlation coefficient is −0.78. The total MSI extent demonstrated a statistically significant declining trend equal to −1,477 km2 yr−1. Results have been compared with data from the Randolph Glacier Inventory (RGI 6.0). The comparison points to a significant contribution of minimum seasonal snow cover relative to RGI glacierized areas. Quantitative estimates obtained for the first time showed that the region-average snow extent that survives the summer melt and resides outside of RGI area can be as high as 15% (or 53 × 103 km2) while in the northern Canadian Arctic it can reach 41% (or 43 × 103 km2). The derived MSI time series data can be recommended to the glacier and land-cover scientific community as a source of validation data and annual updates of snow and ice maps over the northern circumpolar landmass.
Local Relevance This study looks at snow and ice minimum extent over the circumpolar landmass, including the NWT, over a 20 year period.
Notes
Tags Snow,Ice,Circumpolar,Remote Sensing
Geographic Region NWT
Release Date 2021-04-01
Last Modified Date 2021-04-01
Funding Program