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  • 1
    Online Resource
    Online Resource
    A software package for integrating digital elevation models into the digital analysis of remote-sensing data
    Elsevier BV ; 1989
    In:  Computers & Geosciences Vol. 15, No. 5 ( 1989-1), p. 669-678
    Details
    In: Computers & Geosciences, Elsevier BV, Vol. 15, No. 5 ( 1989-1), p. 669-678
    Type of Medium: Online Resource
    ISSN: 0098-3004
    URL: Article
    DOI: 10.1016/0098-3004(89)90075-7
    RVK:
    RA 1000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 1989
    detail.hit.zdb_id: 1499977-8
    SSG: 16,13
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  • 2
    Online Resource
    Online Resource
    Subnivean Arctic and sub-Arctic net ecosystem exchange (NEE) : Towards representing snow season processes in models of NEE using cryospheric remote sensing
    SAGE Publications ; 2013
    In:  Progress in Physical Geography: Earth and Environment Vol. 37, No. 4 ( 2013-08), p. 484-515
    Details
    In: Progress in Physical Geography: Earth and Environment, SAGE Publications, Vol. 37, No. 4 ( 2013-08), p. 484-515
    Abstract: In the Arctic and sub-Arctic, up to half of annual net ecosystem exchange (NEE) occurs during the snow season. Subnivean soil respiration can persist at a greater rate when the overlying snowpack has a lower thermal conductivity, and the rate of photosynthetic uptake at the start and end of the snow season can be diminished by fractional snow cover. Although recent studies have indicated that uncertainty in model estimates of NEE can be reduced by representing the influence of a modeled snowpack on soil respiration, models of NEE have not represented the influence of snowpack dynamics on processes such as subnivean photosynthesis or CO 2 diffusivity, and have not used remote sensing observations to characterize snow season processes. We therefore: (1) review snow season processes and their effects on NEE; (2) assess the suitability of cryospheric remote sensing approaches for models of NEE; and (3) suggest strategies for representing snow season processes in models of NEE. Strategies include: using observations of fractional snow cover in spring and fall to restrict estimates of photosynthetic uptake; combining observations of snow accumulation and soil freeze/thaw with observations of air temperature to generate more realistic estimates of soil temperature and soil respiration; and using observations of depth to estimate the influence of snow accumulation and tree wells on soil respiration. Including remote sensing observations of snow properties in models of NEE could reduce uncertainty in snow season estimates of NEE, resulting in a better understanding of the northern carbon cycle and how it is responding to climate-driven changes in the interconnected biospheric, atmospheric and cryospheric systems.
    Type of Medium: Online Resource
    ISSN: 0309-1333 , 1477-0296
    URL: Article
    DOI: 10.1177/0309133313491130
    RVK:
    RA 1000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2006623-5
    SSG: 14
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  • 3
    Online Resource
    Online Resource
    A Neural Network Method to Determine the Presence or Absence of Permafrost near Mayo, Yukon Territory, Canada
    Wiley ; 1997
    In:  Permafrost and Periglacial Processes Vol. 8, No. 2 ( 1997-32), p. 205-215
    Details
    In: Permafrost and Periglacial Processes, Wiley, Vol. 8, No. 2 ( 1997-32), p. 205-215
    Type of Medium: Online Resource
    ISSN: 1045-6740 , 1099-1530
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.1002/(SICI)1099-1530(199732)8:2〈〉1.0.CO;2-H
    DOI: 10.1002/(ISSN)1099-1530
    DOI: 10.1002/(SICI)1099-1530(199732)8:2〈205::AID-PPP252〉3.0.CO;2-5
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 1997
    detail.hit.zdb_id: 1479993-5
    SSG: 14
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  • 4
    Online Resource
    Online Resource
    Using the MODIS land surface temperature product for mapping permafrost: an application to northern Québec and Labrador, Canada
    Wiley ; 2009
    In:  Permafrost and Periglacial Processes Vol. 20, No. 4 ( 2009-10), p. 407-416
    Details
    In: Permafrost and Periglacial Processes, Wiley, Vol. 20, No. 4 ( 2009-10), p. 407-416
    Abstract: The Land Surface Temperature (LST) products of the Moderate Resolution Imaging Spectroradiometers (MODIS) aboard NASA's Terra and Aqua satellites were used to develop maps of annual near‐surface temperatures for comparison with the spatial distribution of permafrost and boundaries of the permafrost zones. The methodological approach involved fitting a sinusoidal model over the daily LST readings to reproduce seasonal thermal variations near the ground for each 1‐km 2 pixel. Calculations of mean annual surface temperatures and of thawing and freezing indices led to the development of regional maps, in this case for northern Québec and Labrador. The maps show the expected geographic distribution of near‐surface temperatures and acceptably represent known permafrost boundaries. Ongoing efforts to incorporate snow and vegetation cover from complementary remotely sensed data should improve the ground surface temperature mapping capability based on this approach. Copyright © 2009 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1045-6740 , 1099-1530
    URL: Issue
    URL: Article
    DOI: 10.1002/ppp.v20:4
    DOI: 10.1002/ppp.672
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2009
    detail.hit.zdb_id: 1479993-5
    SSG: 14
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  • 5
    Online Resource
    Online Resource
    Climatological trends of snowfall over the Laurentian Great Lakes Basin
    Wiley ; 2018
    In:  International Journal of Climatology Vol. 38, No. 10 ( 2018-08), p. 3942-3962
    Details
    In: International Journal of Climatology, Wiley, Vol. 38, No. 10 ( 2018-08), p. 3942-3962
    Abstract: The leewards shores of the Laurentian Great Lakes are highly susceptible to lake‐induced snowfall. During the late autumn and winter season, cold air advection over relatively warm lakes can induce instability in the lower planetary boundary layer (PBL), facilitating the exchange of moisture and energy fluxes and fuelling the development of snowfall. Snowfall in this region can have disastrous impacts on local communities such as the November 2014 Buffalo storm that caused 13 fatalities. This paper discusses historical snowfall trends along the Canadian leewards shores of Lakes Superior and Huron‐Georgian Bay and explores several lake‐induced predictor variables that may influence the snowfall trends. Spatio‐temporal snowfall and total precipitation trends were computed for the 1980–2015 period over the Great Lakes Basin (GLB) using the Daymet (version 3) gridded estimated data set. Results show a significant decrease in snowfall, at a rate of 40 cm/36 years, and a significant decrease in total precipitation of 20 mm/36 years, along the Ontario snowbelts of Lake Superior and partially along that of Lake Huron‐Georgian Bay at the 95% confidence level during the cold season. Attributions to these negative spatio‐temporal trends are explored using data from the North American Regional Reanalysis (NARR) and the Canadian Ice Service (CIS) data sets. Predictor variables show significant warming in lake surface temperature (LST) at a rate of over 6 K/36 years for Lake Superior, significant decrease in ice cover fraction for both lakes, and an increase in the vertical temperature gradient (VTG) between the LST and the 850 mb level. While the behavioural trends of these variables are believed to enhance snowfall through increased evaporation, there are other complex processes involved, such as inefficient moisture recycling and increased moisture storage in warmer air masses that may inhibit the development of snowfall along the immediate leewards shores of Lake Superior.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    URL: Article
    DOI: 10.1002/joc.2018.38.issue-10
    DOI: 10.1002/joc.5546
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 6
    Online Resource
    Online Resource
    Assessment of coupled CRCM5–FLake on the reproduction of wintertime lake-induced precipitation in the Great Lakes Basin
    Springer Science and Business Media LLC ; 2019
    In:  Theoretical and Applied Climatology Vol. 138, No. 1-2 ( 2019-10), p. 77-96
    Details
    In: Theoretical and Applied Climatology, Springer Science and Business Media LLC, Vol. 138, No. 1-2 ( 2019-10), p. 77-96
    Type of Medium: Online Resource
    ISSN: 0177-798X , 1434-4483
    URL: Article
    DOI: 10.1007/s00704-019-02799-8
    RVK:
    RA 1000
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 1463177-5
    detail.hit.zdb_id: 405799-5
    SSG: 14
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  • 7
    Online Resource
    Online Resource
    The response and role of ice cover in lake-climate interactions
    SAGE Publications ; 2010
    In:  Progress in Physical Geography: Earth and Environment Vol. 34, No. 5 ( 2010-10), p. 671-704
    Details
    In: Progress in Physical Geography: Earth and Environment, SAGE Publications, Vol. 34, No. 5 ( 2010-10), p. 671-704
    Abstract: This paper reviews the current state of knowledge pertaining to the interactions of lake ice and climate. Lake ice has been shown to be sensitive to climate variability through observations and modelling, and both long-term and short-term trends have been identified from ice records. Ice phenology trends have typically been associated with variations in air temperatures while ice thickness trends tend to be associated more to changes in snow cover. The role of ice cover in the regional climate is less documented and with longer ice-free seasons possible as a result of changing climate conditions, especially at higher latitudes, the effects of lakes on their surrounding climate (such as increased evaporation, lake-effect snow and thermal moderation of surrounding areas, for example) can be expected to become more prominent. The inclusion of lakes and lake ice in climate modelling is an area of increased attention in recent studies. An important step in improving predictions of ice conditions in models is the assimilation of remote sensing data in areas where in-situ data is lacking, or non-representative of the lake conditions. The ability to accurately represent ice cover on lakes will be an important step in the improvement of global circulation models, regional climate models and numerical weather forecasting.
    Type of Medium: Online Resource
    ISSN: 0309-1333 , 1477-0296
    URL: Article
    DOI: 10.1177/0309133310375653
    RVK:
    RA 1000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
    detail.hit.zdb_id: 2006623-5
    SSG: 14
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