The Influence of Lakes on the Regional Energy and Water Balance of the Central Mackenzie River Basin

Rouse, Wayne R.; Binyamin, Jacqueline; Blanken, Peter D.; Bussières, Normand; Duguay, Claude R.; Oswald, Claire J.; Schertzer, William M.; Spence, Christopher

doi:10.1007/978-3-540-73936-4_18

Cited by 31 publications

(25 citation statements)

References 19 publications

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“…GBL and GSL lie between 60 • to 67 • N and between 109 • to 126 • W (Fig. 1), and, respectively, have surface areas of 31.3 × 10 3 km 2 and 28.6 × 10 3 km 2 , and average depths of 76 m and 88 m (Rouse et al, 2008a;Woo et al, 2008). The northern extent of GBL is influenced by colder temperatures than its more southern counterpart (Rouse et al, 2008b).…”

Section: Study Areamentioning

confidence: 98%

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Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada

2012

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Abstract. Time series of brightness temperatures (T B ) from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18.7, 23.8, 36.5, and 89.0 GHz channels (H-and V-polarization) are compared to assess their potential for detecting freeze-onset/melt-onset and ice-on/ice-off dates on both lakes. The 18.7 GHz (Hpol) channel is found to be the most suitable for estimating these ice dates as well as the duration of the ice cover and icefree seasons. A new algorithm is proposed using this channel and applied to map all ice phenology variables on GBL and GSL over seven ice seasons (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009). Analysis of the spatio-temporal patterns of each variable at the pixel level reveals that: (1) both freeze-onset and ice-on dates occur on average about one week earlier on GBL than on GSL (Day of Year (DY) 318 and 333 for GBL; DY 328 and 343 for GSL); (2) the freeze-up process or freeze duration (freezeonset to ice-on) takes a slightly longer amount of time on GBL than on GSL (about 1 week on average); (3) melt-onset and ice-off dates occur on average one week and approximately four weeks later, respectively, on GBL (DY 143 and 183 for GBL; DY 135 and 157 for GSL); (4) the break-up process or melt duration (melt-onset to ice-off) lasts on average about three weeks longer on GBL; and (5) ice cover duration estimated from each individual pixel is on average about three weeks longer on GBL compared to its more southern counterpart, GSL. A comparison of dates for several ice phenology variables derived from other satellite remote sensing products (e.g. NOAA Interactive Multisensor Snow and Ice Mapping System (IMS), QuikSCAT, and Canadian Ice Service Database) show that, despite its relatively coarse spatial resolution, AMSR-E 18.7 GHz provides a viable means for monitoring of ice phenology on large northern lakes.

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Section: Study Areamentioning

confidence: 98%

“…(Table 2). For GBL, complete water turnover occurs at least in some parts of the lake and no break-up occurs until early July (Rouse et al, 2008a).…”

Section: Study Areamentioning

confidence: 99%

Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada

2012

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“…Estimates of their areal coverage can reach up to 40-50% in some regions of the Arctic and sub-Arctic. Lakes have the highest evaporation rates of any high latitude terrestrial surface (Rouse et al, 2008a). Their frequency and size greatly influence the magnitude and timing of landscape-scale evaporative and sensible heat inputs to the atmosphere, and they are important to regional climatic and meteorological processes.…”

Section: Introductionmentioning

confidence: 99%

Remote sensing of lake and river ice

Duguay

Bernier

Gauthier

et al. 2014

Remote Sensing of the Cryosphere

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“…Ice also prevents the exchange of momentum between the atmosphere and the lake water (Williams et al, 2004). Lakes affect the local weather by modifying the air temperature, wind, humidity and precipitation in their surroundings (Ellis and Johnson, 2004;Rouse et al, 2008aRouse et al, , 2008b, and ice cover protects the heat content of lakes by its insulation capacity and by damping turbulent mixing in the water body. Thus, the presence (or absence) of ice cover has an impact on both regional climate and weather events in the winterÁspring season.…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling of snow and ice thicknesses in Lake Vanajavesi, Finland

Leppäranta

Cheng

et al. 2012

Tellus A: Dynamic Meteorology and Oceanography

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. The diurnal weather cycle gave significant impact on ice thickness in spring. Ice climatology was highly sensitive to snow conditions. Surface temperature showed strong dependency on thickness of thin ice (B0.5 m), supporting the feasibility of thermal remote sensing and showing the importance of lake ice in numerical weather prediction. The lake ice season responded strongly to air temperature: a level increase by 1 or 58C decreased the mean length of the ice season by 13 or 78 d (from 152 d) and the thickness of ice by 6 or 22 cm (from 50 cm), respectively.

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The Influence of Lakes on the Regional Energy and Water Balance of the Central Mackenzie River Basin

Cited by 31 publications

References 19 publications

Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada

Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada

Remote sensing of lake and river ice

Numerical modelling of snow and ice thicknesses in Lake Vanajavesi, Finland

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