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1970—2020年我国雪灾的时空分布特征及其风险评估区划分析 被引量:1
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作者 朱万林 武于洁 +3 位作者 刘一泽 苏扬 宋蕾 余永安 《农业灾害研究》 2023年第11期168-170,共3页
基于ERA5逐小时再分析资料和人口经济空间分布等数据,对1970—2020年我国雪灾致灾因子的时空特征和风险评估区划结果进行分析。结果表明:(1)近50年来,我国雪灾3个致灾因子下降趋势显著;空间分布均表现为在青藏高原、东北及新疆北部较大... 基于ERA5逐小时再分析资料和人口经济空间分布等数据,对1970—2020年我国雪灾致灾因子的时空特征和风险评估区划结果进行分析。结果表明:(1)近50年来,我国雪灾3个致灾因子下降趋势显著;空间分布均表现为在青藏高原、东北及新疆北部较大,在华中地区较小,在华南南部沿海、我国北方以及新疆南部最小;(2)雪灾高和较高危险性等级主要位于青藏高原和新疆北部,东北地区雪灾危险性等级较低,其他地区基本上为低等级;(3)人口、经济风险高风险与较高风险等级主要位于青藏高原东部、华北平原和东部沿海地区。对雪灾致灾危险性及风险进行探讨,可作为了解和认识我国雪灾及其对人口经济影响的参考依据。 展开更多
关键词 致灾因子 暴雪日数 最大积深度 累积降 风险评估区划
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Simulation of a Freezing Rain and Snow Storm Event over Southern China in January 2008 Using RIEMS 2.0 被引量:1
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作者 XIONG Zhe 《Atmospheric and Oceanic Science Letters》 CSCD 2013年第1期27-32,共6页
The Regional Integrated Environmental Model System (RIEMS 2.0) with NCEP Reanalysis II is utilized to simulate the severe freezing rain and snow storm event over southern China in January 2008, which caused severe d... The Regional Integrated Environmental Model System (RIEMS 2.0) with NCEP Reanalysis II is utilized to simulate the severe freezing rain and snow storm event over southern China in January 2008, which caused severe damage in the region. The relationships between the freezing rain process and the large-scale cir- culation, in terms of the westerly and low-level jets, water vapor transportation, and northerly wind area/intensity indices, were analyzed to tmderstand the mechanisms of the freezing rain occurrence. The results indicate the fol- lowing: (1) RIEMS 2.0 reproduced the pattern of precipi- tation in January 2008 well, especially for the temporal evolution of daily precipitation averaged over the Yangtze River valley and southern China; (2) RIEMS 2.0 repro- duced the persistent trough in the South Branch of the westerlies, of which the southwesterly currents trans- ported abundant moisture into southern China; (3) RIEMS 2.0 reasonably reproduced the pattern of frequencies of light and moderate rain, although it overestimated the frequency of rain in southern China. This study shows that RIEMS 2.0 can be feasibly applied to study extreme weather and climate events in East Asia. 展开更多
关键词 RIEMS 2.0 climate extremes freezing rain snow storm
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