Table 1 - uploaded by G. Nosenko
Content may be subject to copyright.
Source publication
![Table 3 . The glacier system of the Chukchi Highlands [9]](profile/G-Nosenko-2/publication/240996510/figure/tbl2/AS:668970495508482@1536506403254/The-glacier-system-of-the-Chukchi-Highlands-9_Q320.jpg)
Similar publications
W artykule przedstawiono warunki biometeorologiczne na Równinie Kaffiøyra i w regionie Lodowca Waldemara w sezonie letnim 2005 r. Pomiary wykonywano w trzech punktach: na Równinie Kaffiøyra, przed czołem Lodowca Waldemara i w jego partii firnowej. Przeanalizowano zróżnicowanie warunków biometeorologicznych przy różnych sytuacjach pogodowych w zależ...
Citations
... The glacial systems that were discovered after the compilation of the GIU were not included in these calculations. Three of these systems are located in the subarctic latitudes, in the Chukotka Highlands, the Kolyma Highlands, and the northeastern part of the Koryak Highlands (Sedov 1998(Sedov , 1992(Sedov , 1995(Sedov , 1996(Sedov , 1997a(Sedov , b, 2001Kotlyakov et al. 2011;Chernova et al. 2011). Two other systems belong to the temperate zone. ...
Mountain glaciers currently exist in 18 mountainous regions of the continental part of Russia. They occupy a total area of about 3480 km2. Almost all the glaciers in these mountainous areas have receded over the past few decades. The process of glacier retreat leads to landscape change in the glacier zone and can also lead to increased risks of hazards and natural disasters. The existing research on the current state of glaciers and their changes helps us to understand the mechanisms of the changes and to improve forecasts and adaptation strategies. This article presents a review of mountain glacier change estimates in continental Russia over the twentieth and twenty-first centuries. The sources for the estimates include satellite imagery, topographic maps, field research results, and scientific publications. The results of our analysis demonstrate that changes in the main climatic factors, i.e., air temperature and precipitation, determine the general trend in glacier changes in Russia’s mountainous regions. Glacier reductions for the second part of twentieth century range from 10.6% (Kamchatka) to 69% (the Koryak Highlands). The differences in the rate and the direction of glacier changes depend on local orographic and climatic features.
... The glacial systems that were discovered after the compilation of the GIU were not included in these calculations. Three of these systems are located in the subarctic latitudes, in the Chukotka Highlands, the Kolyma Highlands, and the northeastern part of the Koryak Highlands (Sedov 1998(Sedov , 1992(Sedov , 1995(Sedov , 1996(Sedov , 1997a(Sedov , b, 2001Kotlyakov et al. 2011;Chernova et al. 2011). Two other systems belong to the temperate zone. ...
Mountain glaciers currently exist in 18 mountainous regions of the continental part of Russia. They occupy a total area of about 3480 km2. Almost all the glaciers in these mountainous areas have receded over the past few decades. The process of glacier
retreat leads to landscape change in the glacier zone and can also lead to increased risks of hazards and natural disasters. The existing research on the current state of glaciers and their changes helps us to understand the mechanisms of the changes and to
improve forecasts and adaptation strategies. This article presents a review of mountain glacier change estimates in continental Russia over the twentieth and twenty-first centuries. The sources for the estimates include satellite imagery, topographic maps,
field research results, and scientific publications. The results of our analysis demonstrate that changes in the main climatic factors, i.e., air temperature and precipitation, determine the general trend in glacier changes in Russia’s mountainous regions. Glacier reductions for the second part of twentieth century range from 10.6% (Kamchatka) to 69% (the Koryak Highlands). The differences in the rate and the direction of glacier changes depend on local orographic and climatic feature
... Later 182 glaciers with total area 61.1 km 2 , which were not mentioned among glacier systems of the Koryak, Chukchi and Kolyma highlands presented in the UGI, were added. These glaciers were discovered, visited and investigated in the 1980s-1990s by R V Sedov, a researcher from Magadan (Kotlyakov et al 2011). Now the UGI covers 25 glacier systems (figure 1, table 1). ...
Glaciers are widely recognized as key indicators of climate change. Recent evidence suggests an acceleration of glacier mass loss in several key mountain regions. Glacier recession implies landscape changes in the glacial zone, the origin of new lakes and activation of natural disaster processes, catastrophic mudflows, ice avalanches, outburst floods, etc. The absence or inadequacy of such information results in financial and human losses. A more comprehensive evaluation of glacier changes is imperative to assess ice contributions to global sea level rise and the future of water resources from glacial basins. One of the urgent steps is a full inventory of all ice bodies and their changes. The first estimation of glacier state and glacier distribution on the territory of the former Soviet Union has been done in the USSR Glacier Inventory (UGI) published in 1965-1982. The UGI is based on topographic maps and air photos and reflects the status of the glaciers in the 1940s-1970s. There is information about 28 884 glaciers with an area of 7830.75 km2 in the inventory. It covers 25 glacier systems in Northern Eurasia. In the 1980s the UGI has been transformed into digital form as a part of the World Glacier Inventory (WGI). Recent satellite data provide a unique opportunity to look again at these glaciers and to evaluate changes in glacier extent for the second part of the 20th century. About 15 000 glacier outlines for the Caucasus, Polar Urals, Pamir Alay, Tien Shan, Altai, Kamchatka and Russian Arctic have been derived from ASTER and Landsat imagery and can be used for glacier change evaluation. Results of the analysis indicate the steady trend in glacier shrinkage in all mountain regions for the second part of the 20th century. Glacier area loss for the studied regions varies from 13% (Tien Shan) to 22.3% (Polar Urals). The common driver, most likely, is an increase in summer air temperature. There is also a very large variability in the degree of individual glacier degradation, very much depending on the morphology and local meteorological conditions.
This study outlines a consistent methodology for identifying glacier surfaces from Landsat 5, 7 and 8 imagery that is applied to map all mainland North Asian glaciers, providing the first methodologically consistent and complete glacier inventory for the region ~2010. We identify 5065 glaciers covering a planimetric area of 2326 ± 186 km ² , most of which is located in the Altai mountain subregion. The total glacier count is 15% higher, but the total glacier area is 32 ±11.6% lower, than the estimated glacier coverage provided in version 4.0 of the Randolph Glacier Inventory. We investigate the distribution of glacier size within North Asia and find that the majority of glaciers (82%) are smaller than 0.5 km ² but only account for a third of the total glacier area, with the largest 1 % (60 glaciers ≥ 5 km ² ) accounting for 28% of the total area. We present hypsometric characterizations of North Asian glaciers, largely substantiating existing findings that glaciers in this region are dominated by cold, relatively dry conditions. We provide a detailed assessment of errors and determine the uncertainty in our area estimate to be ±8.0%, with snow-cover uncertainty the largest contributing factor. Based on this assessment, the new glacier inventory presented here is more complete and of higher quality than other currently available data sources.
A methodical approach is proposed for calculating the equilibrium line altitude HELA of glacier systems (on the example of the Northeastern Russia) on the basis of the characteristics that determine it in time and space: from the archive of temperature and precipitation at the grid points (the UDel archive, Delaware University). This data is used in the equation of mass balance of the glacier systems for the calculation of its components. As a result, the output is the inter-annual series of deviations of HELA from the mean value and the ratio between accumulation and solid precipitation in the regular grids over the glacial systems. By the longterm series of the HELA deviations the periods of minimum and maximum HELA state were revealed for various glacial systems, as well as linear trends of these series. This made us possible to evaluate the HELA trends in the future using the linear regression method. The sensitivity of the method of the initial parameters - the mean values of the summer air temperature, solid precipitation and the HELA value, received independently, have been estimated. Thus, the method allows detailing the HELA changes in space with the resolution of the archive used, and in time for each year of the selected climatic period.
This study outlines a consistent methodology for identifying glacier surfaces from Landsat 5, 7 and 8 imagery that is applied to map all mainland North Asian glaciers, providing the first methodologically consistent and complete glacier inventory for the region ∼2010. We identify 5065 glaciers covering a planimetric area of 2326±186 km2, most of which is located in the Altai mountain subregion. The total glacier count is 15% higher, but the total glacier area is 32±11.6% lower, than the estimated glacier coverage provided in version 4.0 of the Randolph Glacier Inventory. We investigate the distribution of glacier size within North Asia and find that the majority of glaciers (82%) are smaller than 0.5km2 but only account for a third of the total glacier area, with the largest 1% (60 glaciers ≥5km2) accounting for 28% of the total area. We present hypsometric characterizations of North Asian glaciers, largely substantiating existing findings that glaciers in this region are dominated by cold, relatively dry conditions. We provide a detailed assessment of errors and determine the uncertainty in our area estimate to be ±8.0%, with snow-cover uncertainty the largest contributing factor. Based on this assessment, the new glacier inventory presented here is more complete and of higher quality than other currently available data sources.
