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TitleEvaluation of multiple datasets for snow cover indicators for Canada
 
AuthorFernandes, RORCID logo; Zhou, F; Song, H
SourceIEEE International Geoscience and Remote Sensing Symposium proceedings 2014, 6946401, 2014 p. 239-242, https://doi.org/10.1109/IGARSS.2014.6946401
Year2014
Alt SeriesNatural Resources Canada, Contribution Series 20181432
PublisherIEEE
Meeting2014 IEEE Geoscience and Remote Sensing Symposium; Québec, QC; CA; July 13-18, 2014
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceCanada; British Columbia; Alberta; Saskatchewan; Manitoba; Ontario; Quebec; New Brunswick; Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Northwest Territories; Yukon; Nunavut
NTS1; 2; 3; 10; 11; 12; 13; 14; 15; 16; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 52; 53; 54; 55; 56; 57; 58; 59; 62; 63; 64; 65; 66; 67; 68; 69; 72; 73; 74; 75; 76; 77; 78; 79; 82; 83; 84; 85; 86; 87; 88; 89; 92; 93; 94; 95; 96; 97; 98; 99; 102; 103; 104; 105; 106; 107; 114O; 114P; 115; 116; 117; 120; 340; 560
Subjectsgeophysics; environmental geology; Science and Technology; Nature and Environment; remote sensing; satellite imagery; snow; mapping techniques; climate effects; climate change; snow cover
ProgramRemote Sensing Science, Land Surface Characterization
Released2014 11 06
AbstractSnow cover extent (SCE) is an essential climate variable. Indicators of trends in the temporal and spatial patterns of SCE are increasingly used to both monitoring climate variability and change and quantifying regional environmental conditions. However, the choice and accuracy of the indicators are often depends on the input snow cover data. A survey of snow cover indicators is performed to identify those that would satisfy user requirements over Canada in addition to the current practices for international reporting. Four different input data sets are then used to generate snow cover indicators over a five year period (2006-2010): the Canadian Meteorological Centre snow depth analysis with systematic in-situ measurements; cloud free MODIS MOD10C1 SCE product; NOAA Interactive Mapping Service 4km SCE product; and CCRS SCE product that assimilated both CMC inputs and NOAA AVHRR satellite imagery. Then snow cover indicators, including snow cover onset and melt, are evaluated through their sensitivity to documented data uncertainties, by comparison to continuous monitored in-situ data, and through inter-comparison. Recommendations for suitable indicators as a function of input dataset are provided.
Summary(Plain Language Summary, not published)
Snow cover information is essential to support modelling and decision support within transportation, tourism, climate, weather and water resource sectors. The Government of Canada has included a national snow cover indicator in their National Indicators. The indicator corresponds to the timing (melt, onset) and amount (days per season) of snow cover over Canada. Here we quantify the sensitivity of this indicator over each of Canada's climate ones to the type of input snow cover maps used: MODIS satellite based maps, US National Oceanic and Atmospheric Administration global maps, Canada Centre for Remote Sensing satellite based maps, and Canadian Meteorological Centre maps based on in-situ sites. The comparison found good agreement amongst all satellite based products except for mountainous regions and dense forests. Biases over forests are due to the way forest masking of snow is treated in satellite algorithms. A clear explanation of differences in mountains could not be provided due to the lack of sufficient in-situ data in these regions.
GEOSCAN ID311787

 
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