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Glaciers of Chukotka (Northern Far East of Russia) – assessment of the present state and projection by a regional model scenarioтезисы доклада
- Авторы: Maria ANANICHEVA, Andrey KARPACHEVSKY, Vladimir PLATONOV
- Сборник: Book of abstracts of International Geographical Union Regional Conference “Geography, Culture and Society for Our Future Earth”, 17–21 August 2015, Moscow, Russia
- Серия: Thematic Session "Cultural Regionalism and Regional Identity"
- Тезисы
- Год издания: 2015
- Издательство: Izdatel'stvo Moskovskogo Gosudarstvennogo Universiteta im.M.V.Lomonosova/Publishing House of Moscow State University
- Местоположение издательства: Russian Federation
- Первая страница: 77
- Последняя страница: 77
- Аннотация: Satellite imagery of high resolution is used to identify relatively small glaciers of Chukotka and Kolyma highlands (Northern Far East of Russia). The results are compared with the inventory made by R.M. Sedov in 1980s. The regional non hydrostatic atmospheric model COSMO-CLM is involves for the detailed assessment and projection of Chukotka mountain glaciers and other cryospheric objects, runoff from the mountains, etc. The resolution 2.8 km is used as the highest horizontal resolution of the COSMO-CLM model. Initial conditions are derived from the global MPI-ESM-LR climate model, which is included in the CMIP5 project. According to (Anisimov, Kokorev, “ Ice and Snow”, 2013), the MPI-ESM-LR satisfactorily reproduces the main meteorological variables (such as temperature, precipitation, etc.) for this region. At first, the COSMO-CLM run is executed for many years from ‘historical’ experiment data of MPI-ESM-LR (historical-r1i1p1). We suppose to yield robust relationships between the distribution of temperature and precipitation over ‘mountain grids’ from detailed simulation and the distribution of the same parameters on the coarse data grid (from MPI-ESM-LR model). After that, we will calculate the cryospheric objects’ parameters and conditions, according to the method (Ananicheva, Krenke, Barry, the Cryosphere, 2010). Based on these relationships, we suppose to extrapolate it to the periods (around 2030 and 2080). In other words, we want to estimate the Chukotka climate and cryospheric objects state for the future supporting our relationships based on the accessible coarse MPI-ESM-LR output data.
- Добавил в систему: Платонов Владимир Сергеевич