Led i Sneg-Ice and Snow最新文献

{"title":"Influence of climate warming on the strength characteristics of ice in the Ob Bay","authors":"O. M. Andreev, D. Drabenko, R. A. Vinogradov, E. Orlova","doi":"10.15356/2076-6734-2019-4-409","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-4-409","url":null,"abstract":"The article presents results of investigation of the climate warming effects in the northern polar region of the Earth, in particular on some characteristics of ice in the northern part of the Ob Bay (the area of the most active economic activity of the Russian Federation in the last decade). It is determined that over the past 40 years, morphometric and strength characteristics of ice have significantly changed. Estimates of ice thickness obtained using simple empirical formulas (depending on the sum of the degree-days of frost) show that the ice thickness decreased here by an average of 10 15%. The strength characteristics of ice were analyzed for two periods: the maximum strength of ice (for this area it is March) and the maximum development of ice thickness (usually it is May). It was found that the strength properties of ice (bending and compression) for both periods decreased by 10-12%. Thus, in recent decades, under the influence of climate warming in the Ob Bay, the thickness and strength of the ice cover have significantly decreased. This circumstance will be favorable for further development of the considered water area by Russian oil and gas companies.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66931906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of thaws on snow cover and soil freezing under the contemporary climate change","authors":"A. V. Sosnovsky, N. Osokin","doi":"10.15356/2076-6734-2019-4-433","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-4-433","url":null,"abstract":"Thaw and liquid precipitation retard cooling of snow cover and soil surface and so may be a factor of heating. This slows down the soil freezing due to more active freezing of the wet snow, and, thus, promotes cooling and re-cooling of the soil. However, there are a number of factors which intensify the soil freezing after thaw. With thaw, the thickness of the snow cover decreases, and its density increases. In addition, after freezing wet snow improves the contact between the ice crystals, which increases the hardness and thermal conductivity of the snow. As a result, after the thaw, the thermal protection ability of the snow decreases, and this can accelerate freezing of the soil. The dynamics of snow accumulation in Russia is considered in the paper. Using data obtained in the Western Svalbard, we demonstrate the increase in the number of thaws and liquid precipitation and influence of them on the snow cover and soil freezing. The influence of thaw on the growth of thermal resistance of snow cover is also considered. Calculations have shown that in the absence of a thaw, the depth of soil freezing is 1.26 m. With a thaw lasting 10 days, which begins on the 40th day from the start of soil freezing, the depth of freezing is reduced down to 1.2 m without considering changes in snow cover. When taking into account changes in the thermal resistance of snow cover, the depth of soil freezing by the end of the cold period increases up to 1.32 cm. With a thaw in the mid-winter, i.e. on the 70th day, the depth of freezing decreases down to 1.22 m, that is smaller than the depth of freezing without thaw. This scenario is in accordance with changes in snow accumulation dynamics under the present-day climate, as in many areas most of the solid precipitation falls in the first half of the cold period. As a result, for a period after a thaw the smaller volume of snow will be deposited, and this will retard increasing in thermal resistance of the snow cover.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"59 1","pages":"475-482"},"PeriodicalIF":0.7,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66932490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"All-Russian Scientific Conference «The interaction of the natural environment elements in high latitude areas», Sochi, September 2019","authors":"A. Muraviev","doi":"10.15356/2076-6734-2019-4-475","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-4-475","url":null,"abstract":"All-Russian Scientific Conference «The interaction of the natural environment elements in high latitude areas», Sochi, September 2019.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"16 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66933160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation of snow accumulation and melting in the Kama river basin using data from global prognostic models","authors":"S. Pyankov, A. Shikhov, P. Mikhaylyukova","doi":"10.15356/2076-6734-2019-4-423","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-4-423","url":null,"abstract":"Currently, the improvement of numerical models of weather forecasting allows using them for hydrological problems, including calculations of snow water equivalent  (SWE) or snow storage. In this paper, we discuss the applicability of daily precipitation forecasts for three global atmospheric models: GFS (USA), GEM (Canada) and PL-AV (Russia) for calculating snow storage (SWE) in the Kama river basin for the cold season of 2017–2018. As the main components of the balance of snow storages the following parameters were taken into account: precipitation (with regard for the phase); snow melting during thaws; evaporation from the surface of the snow cover; interception of solid precipitation by forest vegetation. The calculation of snow accumulation and melting was based on empirical methods and performed with the GIS technologies. The degree-day factor was used to calculate snowmelt intensity, and snow sublimation was estimated by P.P. Kuz’min formula. The accuracy of numerical precipitation forecasts was estimated by comparing the results with the data of 101 weather stations. Materials of 40 field and 27 forest snow-measuring routes were taken into account to assess the reliability of the calculation of snow storages (SWE). During the snowmelt period, the part of the snow-covered area of the basin was also calculated using satellite images of Terra/Aqua MODIS on the basis of the NDFSI index. The most important result is that under conditions of 2017/18 the mean square error of calculating the maximum snow storage by the GFS, GEM and PL-AB models was less than 25% of its measured values. It is difficult to determine which model provides the maximum accuracy of the snow storage calculation since each one has individual limitations. According to the PL-AV model, the mean square error of snow storage calculation was minimal, but there was a significant underestimation of snow accumulation in the mountainous part of the basin. According to the GEM model, snow storages were overestimated by 10–25%. When calculating with use of the GFS model data, a lot of local maximums and minimums are detected in the field of snow storages, which are not confirmed by the data of weather stations. The main sources of uncertainty in the calculation are possible systematic errors in the numerical forecasts of precipitation, as well as the empirical coefficients used in the calculation of the intensity of snowmelt and evaporation from the snow cover surface.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"20 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88104465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of soil temperatur on permafrost in natural and anthropogenic disturbed conditions in the Tunkinskaya Depression","authors":"N. N. Voropay, M. Kiselev, A. Cherkashina","doi":"10.15356/2076-6734-2019-4-421","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-4-421","url":null,"abstract":"The territory of the study is the Tunkinsky intermountain basin (South-Western Baikal region, Republic of Buryatia) which belongs to the area of sporadic (island) distribution of permafrost. Soil temperature controls many biotic and abiotic processes in it, so it is important to monitor the freezing and thawing regimes in peat and mineral soils. The object of the study is coarse-humic cryogenic soils on sandy lacustrine-alluvial sediments. The first site was represented by natural coarse-humic cryogenic soils under spruce forest, while the second site was organized on the area where in 1960s the forest had been destroyed and the soils were ploughed. At the end of XX century, the arable lands were abandoned, and now they are covered with steppe grasses (the long fallow). Both sites are located on the permafrost. The atmospheric-soil measuring complex was used to study the state of both the perennial and seasonal permafrost at these two sites. The soil temperatures were measured in automatic mode with a time interval of 1 hour from July 1, 2013 to June 30, 2017 along the soil profile from the surface down to a depth of 320 cm. Anthropogenic interference on one of the sites resulted in changes in vegetation cover, the soil moisture as well as the morphological structure and granulometric composition of the upper part of the soil layer. This caused changes in the temperature regime of the permafrost and its degradation with lowering of its upper limit. The soil on the long fallow is better warmed up and cools down faster than it takes place under the spruce forest. As a result of this, the maximum annual temperature on the surface here is higher by 10 °C, while at a depth of 320 cm – by 5 °C, and the minimum annual temperature on the surface is lower by 7 °C, while at a depth of 320 cm – by 1 °C. On the anthropogenically disturbed area, the warm period (at the soil temperature above 0 °C) on the surface is, on the average, by 22 days longer than on the natural lot. These differences are observed at all depths. As a result, the perennial permafrost is retained under the spruce forest below 130 cm throughout the year (soil temperature −0.2 ÷ −0.9 °C), while on the fallow the zero isotherm during seasonal thawing falls much deeper 320 cm, and the soil in the layer of 240–320 cm warms up to 2–5 °C.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"30 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90401590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Observations were re-established on Aktru glaciers in Altai","authors":"S. Kutuzov, A. Erofeev, I. Lavrentiev, A. Smirnov, S. Kopysov, Z. Abbasov, K. Nikitin","doi":"10.15356/2076-6734-2019-3-469","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-3-469","url":null,"abstract":"<jats:p>.</jats:p>","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"31 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82468961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The iceberg drift study near Severnaya Zemlya in the spring of 2018 by remote sensing data","authors":"I. Bychkova, V. Smirnov","doi":"10.15356/2076-6734-2019-3-411","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-3-411","url":null,"abstract":"The movement of icebergs in the Laptev Sea off the coast of the Severnaya Zemlya archipelago in spring of 2018 was analyzed using satellite observations in visible spectral band. As is shown in the article the data of radiometers installed on the Landsat-8 and Sentinel-2 satellites allow monitoring of iceberg drifting in spring period in the above Arctic region. Thus, in March–April 2018, the total amount of icebergs detected near the archipelago was 4917. 4161 icebergs were in the landfast ice, 722 ones were drifting with the ice fields, and the other 32 were aground in ice fields. The average length of the icebergs was equal to 88 m; the largest of the recognized icebergs was located in the landfast ice near the ice shelf of the Matusevich fjord and it was 1240 m in length. The maximum speed of drift of the icebergs, as determined by the satellite data, was equal to 29.5 km/day. This was estimated for the situation when the speed of the near-water (surface) wind reached 20 m/s and larger. The purpose of the work was to study drifting of icebergs in order to define more exactly dynamics of the iceberg movement in this poorly known area of the Arctic. It is found that in a case of the consolidated ice cover the drift speed of ice fields with the icebergs involved depends on the driving wind force and direction. According to mean speeds of movement all icebergs were separated into three groups: the icebergs of the coastal zone with velocities smaller 1 km/day; the icebergs of the transition zone at speeds of 1.3 to 1.6 km/day; and the icebergs of the transit zone with speeds larger 2 km/day. The characteristics of the iceberg drifts obtained on the basis of daily satellite monitoring can be used in regional iceberg drift models to ensure safe economic activity on the Arctic shelf. Also, they can find application in engineering calculations in the design of infrastructure facilities on the shelf of the Arctic seas.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66932006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studies of the glaciers located on the Verkhneangarsky mountain range","authors":"M. Ananicheva, G. Pakin, A. Entin","doi":"10.15356/2076-6734-2019-3-415","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-3-415","url":null,"abstract":"Glaciers of the Verkhneangarsky mountain range are discovered in 2017–2018 and require detailed investigation and cataloging. This group of glaciers includes glaciers of the corrie and morphological types, and, according to the sizes, they should be qualified as small forms of glaciation. Four glacial formations were found during field studies of 2017–2018 together with several snow patches and stone glaciers; these four glaciers were measured and described. The temperature of ice in the glaciers of this region was measured during the investigations. Data on the ice temperature close to the temperature of the surface permafrost layer explain one of the conditions for existence of glaciers in the temperate zone at altitudes of 1800-2000 m. The dynamics of some glacial formations is analyzed in comparison with their present-day sizes, obtained as a result of interpretation of images from Bing maps and Sentinel-2 services, as well as with images of the CORONA mission (1967). The relative stability of the local glacial formations under climate change is related to the underlying permafrost as well as to the forms of occurrence in the relief, and a degree of closure by the stone cover.","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"116 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86803612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Isotopic composition of oxygen in snow-and-firn thickness on the Eastern peak of Elbrus, the Caucasus","authors":"Yu. N. Chizhova, V. Mikhalenko, Y. Vasil'chuk, N. Budantseva, A. Kozachek, S. Kutuzov, I. Lavrentiev","doi":"10.15356/2076-6734-2019-3-426","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-3-426","url":null,"abstract":"Изотопный состав кислорода снежно-фирновой толщи на Восточной вершине Эльбруса © 2019 г. Ю.Н. Чижова1*, В.Н. Михаленко2, Ю.К. Васильчук3, Н.А. Буданцева3, А.В. Козачек4, С.С. Кутузов2, И.И. Лаврентьев2 1Институт геологии рудных месторождений, петрографии, минералогии и геохимии РАН, Москва, Россия; 2Институт географии РАН, Москва, Россия; 3Московский государственный университет имени М .В . Ломоносова, Москва, Россия; 4Арктический и Антарктический научноисследовательский институт, СанктПетербург, Россия *eacentr@yandex .ru","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66932162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chemical, isotopic and gas composition of the first-year sea ice in 2013-2015 from the data of cores taken at the BARNEO drifting stations","authors":"A. Kizyakov, I. Streletskaya, A. Savenko, I. A. Kraynyukova, I. Tokarev","doi":"10.15356/2076-6734-2019-3-387","DOIUrl":"https://doi.org/10.15356/2076-6734-2019-3-387","url":null,"abstract":"Химический, изотопный и газовый состав однолетнего морского льда по данным кернов дрейфующих станций БАРНЕО за 2013–2015 гг. © 2019 г. А.И. Кизяков1*, И.Д. Стрелецкая1, А.В. Савенко1, И.А. Крайнюкова2, И.В. Токарев2 1Московский государственный университет имени М .В . Ломоносова, Москва, Россия; 2Ресурсный центр «Рентгенодифракционные методы исследования», Научный парк СанктПетербургского государ ственного университета, СанктПетербург, Россия *akizyakov@mail .ru","PeriodicalId":43880,"journal":{"name":"Led i Sneg-Ice and Snow","volume":"70 23 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79653901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}