Impacts of climate change on heavy wet snowfall in Japan

被引:37
作者
Ohba, Masamichi [1 ]
Sugimoto, Soichiro [1 ]
机构
[1] CRIEPI, 1646 Abiko, Abiko, Chiba 2701194, Japan
关键词
Atmospheric icing; Climate change; Heavy wet snowfall; Self-organizing map; Weather patterns; Wet snow accretion; DAILY PRECIPITATION CHANGE; POWER-LINES; SEA SIDE; ACCRETION; FREQUENCY; RAINFALL; PATTERNS; EVENTS; AREA; VARIABILITY;
D O I
10.1007/s00382-020-05163-z
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Wet snow is a primary cause of atmospheric icing, which can lead to severe damage to power towers and lines, resulting in electrical breakdowns and blackouts. This study investigates the influence of climate change on heavy wet snowfall events in Japan by using climate projections obtained from the database for policy decision-making for future climate change (d4PDF). The projected future climate in the regional model simulations shows nonuniform spatial distribution of wet snowfall. The increases in the risk of extreme wet snowfall are found over northern part of Japan Alps (mountainous regions in central Japan) and Hokkaido (northern part of Japan). Self-organizing maps (SOMs) are applied using the surface atmospheric circulation to explore the weather patterns (WPs) associated with changes in heavy wet snowfall. The SOMs show that some WPs have a significant effect on the magnitude, frequency, and location of heavy wet snowfall in Japan. Additionally, the impact of climate forcing on WPs associated with heavy wet snowfall is evaluated to understand the spatially heterogeneous changes in wet snowfall. The SOM analysis results suggest that the future changes in spatially heterogeneous extreme wet snowfall can be attributed to differences in WP responses to climate change. These differences can be attributed to the future variations in the region of the atmospheric layer at temperatures near 0 degrees C (rain-snow transition layer) among WPs, which can alter the spatial distribution and frequency of heavy wet snowfall. The findings can help inform structural design requirements to withstand regional climate change.
引用
收藏
页码:3151 / 3164
页数:14
相关论文
共 57 条
[21]   Quantifying the Uncertainty Range of 30-Year Daily Precipitation Change due to Global Warming Using Regional Frequency Analysis [J].
Ishihara, Koji .
HYDROLOGICAL RESEARCH LETTERS, 2010, 4 :90-94
[22]  
Ito M., 2000, CHARACTERISTICS TORU, V16, P373
[23]   Statistical Analyses of Snowfall Distribution in the Niigata Area and its Relationship to the Wind Distribution [J].
Iwamoto, Katsushi ;
Nakai, Sento ;
Sato, Atsushi .
SOLA, 2008, 4 :45-48
[24]   Characteristics of Synoptic Conditions for Heavy Snowfall in Western to Northeastern Japan Analyzed by the 5-km Regional Climate Ensemble Experiments [J].
Kawase, Hiroaki ;
Sasai, Takahiro ;
Yamazaki, Takeshi ;
Ito, Rui ;
Dairaku, Koji ;
Sugimoto, Shiori ;
Sasaki, Hidetaka ;
Murata, Akihiko ;
Nosaka, Masaya .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2018, 96 (02) :161-178
[25]   Enhancement of heavy daily snowfall in central Japan due to global warming as projected by large ensemble of regional climate simulations [J].
Kawase, Hiroaki ;
Murata, Akihiko ;
Mizuta, Ryo ;
Sasaki, Hidetaka ;
Nosaka, Masaya ;
Ishii, Masayoshi ;
Takayabu, Izuru .
CLIMATIC CHANGE, 2016, 139 (02) :265-278
[26]   SELF-ORGANIZED FORMATION OF TOPOLOGICALLY CORRECT FEATURE MAPS [J].
KOHONEN, T .
BIOLOGICAL CYBERNETICS, 1982, 43 (01) :59-69
[27]   ESTIMATION OF WET SNOW ACCRETION ON STRUCTURES [J].
MAKKONEN, L .
COLD REGIONS SCIENCE AND TECHNOLOGY, 1989, 17 (01) :83-88
[28]  
Matsuo T., 1981, J METEOROL SOC JPN, V54, P462, DOI DOI 10.2151/JMSJ1965.59.4_462
[29]  
Matsuo T., 1981, J. Meteor. Soc. Japan, V59, P1, DOI [10.2151/jmsj1965.59.1_1, DOI 10.2151/JMSJ1965.59.1_1]
[30]  
Matsushita H., 2006, Seppyo (in Japanese with English Abstract), V68, P421