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第20回南極設営シンポジウムプログラム
Full text link第20回南極設営シンポジウム
2024年6月25日（火）
場所：国立極地研究所極地観測棟3F，オンライン
主催：国立極地研究所南極観測センターconference outpu
Starlink衛星通信を活用した南極からの8Kライブ映像伝送
Full text link第20回南極設営シンポジウム
2024年6月25日（火）
場所：国立極地研究所極地観測棟3F，オンライン
主催：国立極地研究所南極観測センターconference outpu
昭和基地建物「夏期隊員宿舎」について
Full text link第20回南極設営シンポジウム
2024年6月25日（火）
場所：国立極地研究所極地観測棟3F，オンライン
主催：国立極地研究所南極観測センターconference outpu
今後の内陸用モジュール活用考案
Full text link第20回南極設営シンポジウム
2024年6月25日（火）
場所：国立極地研究所極地観測棟3F，オンライン
主催：国立極地研究所南極観測センターconference outpu
How does a dynamic surface roughness affect snowpack modeling?
No full textThe SNOWPACK model is a cryosphere model which incorporates several environmental model parameters, one of which being the aerodynamic roughness length (z0). The z0 is considered a static parameter, however, research has shown that the z0 of the surface is variable due to the changing nature of the snowpack surface throughout the winter season. This study highlights the sensitivity of the z0 within the SNOWPACK model based on the outputs of sublimation, SWE, and sensible heat. The z0 values were calculated in two ways, anemometrically (z0-A), using a wind profile, and geometrically (z0-G), measuring surface geometry. Calculated z0-A values were between 1.03 × 10−6 to 0.12 m. The z0-G values were calculated from a terrestrial lidar scan using various resolution values of post-process resolutions. These resolutions of 0.01, 0.1, and 1 m resulted in z0-G values of 0.26, 0.08, and 0.01 m, respectively. Therefore, as the resolution coarsened, the z0-G values decreased. Lastly, these calculated z0-G values, a variable run, using weekly measured z0-G values, and 0.002 (SNOWPACK default), 0.02, and 0.2 m values were incorporated into the SNOWPACK model. When applied, cumulative sublimation, SWE, and sensible heat outputs varied by 131%, −71%, and −49%, when compared to the default z0 value used within the model.journal articl
First observations on airborne prokaryotes in a subArctic Atlantic marine area
No full textAmong extreme environments, bioaerosol includes a wide range of primary atmospheric organic particles associated with and emitted by living and dead organisms. Bioaerosol samples were collected along two transects at a subArctic Atlantic spatial scale, including the eastern Fram Strait and the Greenland, Norwegian, and North Seas. This study was aimed at first estimating microscopically the prokaryotic abundance, biomass and phenotypic traits, along with the number of potential viable and respiring cells. Moreover, physiological profiles at community level were assessed. Prokaryotic abundance ranged from 104 to 107 cells m–3, with the predominance of small sized cells (0.1 μm3). Prokaryotic biomass reached higher values (mean value 233 μg C m–3) in relation to the occurrence of large sized rods. Overall, the percentage of the viable cells was lower than the dead ones, while respiring cells were in lower abundance than total cells. The physiological profiles revealed various potential metabolic pathways among the samples, highlighting the utilization of phosphate-carbon, carboxylic and amino acids. These first results on the metabolism and physiology of microbes, which survived transport in the atmosphere of the Northern Hemisphere, suggest that bioaerosol constitutes an extremely dynamic environment of remarkable ecological interest, also considering future global warming scenarios.journal articl
遠隔地におけるオンプレミスデータプロセッシングに関する実証実験的研究
Full text link極域データサイエンスに関する研究集会II
日時：2024年2月26日（月）13:00〜18:00, 2月27日（火）09:30〜12:00
場所：情報・システム研究機構データサイエンス共同利用基盤施設DS棟1F（大会議室H108），オンライン
主催：情報・システム研究機構データサイエンス共同利用基盤施設極域環境データサイエンスセンターconference objec
大気大循環モデルとデータ同化システムを用いた南半球高緯度の鉛直気象観測データが天気予報精度に与える影響の評価
Full text link極域データサイエンスに関する研究集会II
日時：2024年2月26日（月）13:00〜18:00, 2月27日（火）09:30〜12:00
場所：情報・システム研究機構データサイエンス共同利用基盤施設DS棟1F（大会議室H108），オンライン
主催：情報・システム研究機構データサイエンス共同利用基盤施設極域環境データサイエンスセンターconference objec
空中写真や衛星画像データを用いた宗谷海岸氷床縁辺部湖沼のインベントリ作成
Full text link極域データサイエンスに関する研究集会II
日時：2024年2月26日（月）13:00〜18:00, 2月27日（火）09:30〜12:00
場所：情報・システム研究機構データサイエンス共同利用基盤施設DS棟1F（大会議室H108），オンライン
主催：情報・システム研究機構データサイエンス共同利用基盤施設極域環境データサイエンスセンターconference objec
Himalayan glacier thickness mapper (HIGTHIM) tool: An automated approach to map potential glacier lakes and expansion of existing lakes
No full textClimate warming is the driving force behind the mass change of glaciers, resulting in their thinning and retreat. These changes could result in the formation of glacial lakes across the Himalayan landscape, posing a risk of glacial lake outburst flood (GLOF) hazards, causing enormous damage to the natural environment, human property, and lives. The present study demonstrates a semi-automated tool named 'Himalayan Glacier Thickness Mapper' (HIGTHIM), a Python script based on the ArcPy module. The tool provides the glacier's ice thickness, bed topography, location of the potential lake, and lake volume. It utilizes the laminar flow equation to model ice thickness by applying the surface velocity and slope. We used HIGTHIM in the Sutlej and Beas basins for 132 glaciers covering an area of 618 km2 in the Western Himalaya for this investigation. The results indicate 118 potential lake sites covering a total area of 16 km2 and a volume of 269 × 106 m3. The information provided by the HIGTHIM tool will be useful in understanding the formation and progression of future glacial lakes caused by deglaciation. Such data is required for the scientific community to perform dynamic modelling of outburst scenarios, hydrological modelling, and risk mitigation from GLOF.journal articl