5 research outputs found
Baikal glacier system, new findings
Get PDFThree glaciers and other small glacial formations, which are not mentioned in the USSR Catalog of glaciers as well as in any published article, were found in the area of the Verkhneangarsky (upper Angara) Range on satellite images. Earlier, researchers from the Institute of Geography of Siberian Branch of RAS described a group of glaciers on the Baikal Mountains and the Barguzin Range, which together with the above group of the Verkhneangarsky Range are related to the Baikal basin by the climate conditions. Ogdynda-Maskit Glacier has been described on the spot in 2017, while other glaciers and snow patches are to be investigated in situ in 2018. Together with the above Baikal and Barguzin glaciers, new data allow identification of the Baikal Glacial system. The article presents analysis of climate changes in the region. Trends in mean annual temperature range from 1 to 4 °C/50 years, while the same of summer temperatures change from 1 to 3 °C/50 years, but without any evident spatial distribution between them. Another situation takes place in the spatial distribution of precipitation: trends in total precipitation decrease towards the Baikal Lake, while precipitation of the cold period, on the contrary, slightly increases towards the Lake, but with rather small trend – 10–40 mm per 50 years. The last fact confirms the influence of the Baikal basin on the alimentation of glaciers and snow patches on the Verkhneangarsky Range. Currently, glaciers of the Verkhneangarsky Range undergo a slow regression
Studies of the glaciers located on the Verkhneangarsky mountain range
Get PDFGlaciers 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
Байкальская ледниковая система, новые находки
Get PDFThree glaciers and other small glacial formations, which are not mentioned in the USSR Catalog of glaciers as well as in any published article, were found in the area of the Verkhneangarsky (upper Angara) Range on satellite images. Earlier, researchers from the Institute of Geography of Siberian Branch of RAS described a group of glaciers on the Baikal Mountains and the Barguzin Range, which together with the above group of the Verkhneangarsky Range are related to the Baikal basin by the climate conditions. Ogdynda-Maskit Glacier has been described on the spot in 2017, while other glaciers and snow patches are to be investigated in situ in 2018. Together with the above Baikal and Barguzin glaciers, new data allow identification of the Baikal Glacial system. The article presents analysis of climate changes in the region. Trends in mean annual temperature range from 1 to 4 °C/50 years, while the same of summer temperatures change from 1 to 3 °C/50 years, but without any evident spatial distribution between them. Another situation takes place in the spatial distribution of precipitation: trends in total precipitation decrease towards the Baikal Lake, while precipitation of the cold period, on the contrary, slightly increases towards the Lake, but with rather small trend – 10–40 mm per 50 years. The last fact confirms the influence of the Baikal basin on the alimentation of glaciers and snow patches on the Verkhneangarsky Range. Currently, glaciers of the Verkhneangarsky Range undergo a slow regression. На космических снимках Landsat‑8 обнаружены три ледника в районе Верхнеангарского хребта, которые не упоминаются в Каталоге ледников СССР и научной литературе. Ледник Огдында-Маскит описан в 2017 г. Вместе с уже известными ледниками Байкальского и Баргузинского хребтов новые находки позволяют выделить Байкальскую ледниковую систему, климатически связанную с оз. Байкал. Описаны орографические и климатические условия существования ледников этого района
Исследования Верхнеангарской группы ледников
Get PDFGlaciers 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.В результате полевых исследованиях в Верхнеангарском хребте обнаружены новые ледники, дано их описание, приведены результаты измерений, обсуждаются причины существования ледников в этом районе. По снимкам миссии CORONA определены размеры некоторых ледниковых образований на 1967 г
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Get PDFComputational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions. •Fundamental quantum algorithms to construct quantum–classical workflows.•Classical processing to alleviate quantum workloads and deal with large data.•Classical workload management and programming models for quantum workflows.•Use cases representative of the variety of topics in materials science.Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, analysis, and data resources. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions
