The use of Satellite Imagery in Investigating the Dynamics of the Ice and Snow Cover Lake Baikal

Semovski, S.V.; Mogilev, N. Yu.

doi:10.2166/nh.2003.0027

Cited by 5 publications

(1 citation statement)

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“…Data for classification of Lake Baikal ice cover were collated using the AVHRR meteorological satellite (Morley, 2005). Similar data were also collated in the studies of Lake Baikal by Bolgrien et al (1995), Le Core (1998), Semovski et al (2000), Semovski and Mogilev (2003), Kouraev et al (in press). Classification of snow and ice types on Lake Baikal has been previously carried out by Le Core (1998) using the normalized difference snow index (NDSI) of Riggs et al (1994), although this study only exploits general changes in ice cover characteristics and not, for example, ice structure or relative wetness.…”

Section: Methodsmentioning

confidence: 99%

Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach

Mackay

Ryves

Morley

et al. 2006

Global Change Biology

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Diatoms in Lake Baikal exhibit significant spatial variation, related to prevailing climate, lake morphology and fluvial input into the lake. Here we have assessed the threats to endemic planktonic diatom species (through the development of empirical models), which form a major component of primary production within the lake. Multivariate techniques employed include redundancy analysis (RDA) and Huisman-Olff-Fresco (HOF) models. Our analyses suggest that eight environmental variables were significant in explaining diatom distribution across the lake, and in order of importance these are snow thickness on the ice, water depth, duration of days with white ice, suspended matter in the lake, days of total ice duration, temperature of the water surface in July, concentration of zooplankton and suspended organic matter. Impacts on dominant phytoplankton diatom species are highlighted using t-value biplots. Predictions of future climate change on Lake Baikal are likely to result in shorter periods of ice cover, decreased snow cover across the lake in spring, increased fluvial input into the lake, and an increase in the intensification of surface water stratification during summer months. All these factors are likely to impact negatively on the slow-growing, cold-water endemics such as Aulacoseira baicalensis and Cyclotella minuta, which currently dominate diatom assemblages. Instead, taxa that are only intermittently abundant, at present, in offshore areas (e.g. Stephanodiscus meyerii) are likely to become more frequent. However, given the climatic gradient across the lake, the timing and extent of changes in community structure are likely to vary. Moreover, palaeolimnological records show that Lake Baikal diatom assemblages have been dynamic throughout the Holocene, with both endemic and cosmopolitan species exhibiting periods of dominance. Effects of climate change on the entire lake ecosystem may yet be profound as the structure of the pelagic food web may change from one based on endemic diatom taxa to one dominated by nondiatom picoplankton, and as limnological functioning (e.g. stratification and mixing) affects deepwater oxygen availability, nutrient cycling and trophic linkages.

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Section: Methodsmentioning

confidence: 99%

Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach

Mackay

Ryves

Morley

et al. 2006

Global Change Biology

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Ice and Snow Cover of Continental Water Bodies from Simultaneous Radar Altimetry and Radiometry Observations

et al. 2008

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We show how the studies of ice and snow cover of continental water bodies can benefit from the synergy of more than 15 years-long simultaneous active (radar altimeter) and passive (radiometer) observations from radar altimetric satellites (TOPEX/Poseidon, Jason-1, ENVISAT and Geosat Follow-On) and how this approach can be complemented by SSM/I passive microwave data to improve spatial and temporal coverage. Five largest Eurasian continental water bodies-Caspian and Aral seas, Baikal, Ladoga and Onega lakes are selected as examples. First we provide an overview of ice regime and history of ice studies for these seas and lakes. Then a summary of the existing state of the art of ice discrimination methodology from altimetric observations and SSM/I is given. The drawbacks and benefits of each type of sensor and particularities of radiometric properties for each of the chosen water bodies are discussed. Influence of sensor footprint size, ice SSM/I stands for Special Sensor Microwave/Imager. roughness and snow cover on satellite measurements is also addressed. A step-by-step ice discrimination approach based on a combined use of the data from the four altimetric missions and SSM/I is presented, as well as validation of this approach using in situ and independent satellite data in the visible range. The potential for measurement of snow depth on ice from passive microwave observations using both altimeters and SSM/I is addressed and a qualitative comparison of in situ snow depth observations and satellitederived estimates is made.

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Observations of Lake Baikal ice from satellite altimetry and radiometry

Kouraev

Semovski

Shimaraev

et al. 2007

Remote Sensing of Environment

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The use of Satellite Imagery in Investigating the Dynamics of the Ice and Snow Cover Lake Baikal

Cited by 5 publications

References 0 publications

Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach

Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach

Ice and Snow Cover of Continental Water Bodies from Simultaneous Radar Altimetry and Radiometry Observations

Observations of Lake Baikal ice from satellite altimetry and radiometry

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