{"title":"未来日本关东平原湿雪累积和降雪的预估,使用一个大集合气候模拟","authors":"Yuki Asano, Hiroyuki Kusaka, Masaru Inatsu","doi":"10.1002/met.2162","DOIUrl":null,"url":null,"abstract":"<p>Snowfall and wet snow accretion in the Kanto Plain, including the Tokyo Metropolitan Area, significantly impact the lives of people there. This study used a large ensemble simulation to predict future changes in the frequency of snowfall and wet snow accretion, and the accumulated snowfall and wet snow accretion during an event. We assessed wet snow accretion using a model that considers the effects of temperature, precipitation, wind speed, and humidity. The future snowfall event frequency and accumulated snowfall were predicted to decrease by 0.73 year<sup>−1</sup> (61%) and 0.69 mm (11%), respectively, under +2-K future climate projections from those under the present climate. 87% and 13% reduction in future snowfall events was due to increasing temperature and reduced frequency of extratropical cyclone passages, respectively. Moreover, the future frequency of wet snow accretion events and accumulated wet snow accretion are predicted to decrease by 0.84 year<sup>−1</sup> (90%) and 0.73 kg m<sup>−1</sup> (29%), respectively, from those in the present. 91% and 9% reduction in future wet snow accretion events was due to increasing temperature and reduced frequency of extratropical cyclone passages, respectively. Snowfall and wet snow accretion risk are predicted to decline under the +2-K future climate projections from those under the current climate. The risk can decrease more significantly in the coastal areas than in the inland areas. We hope that the information provided in this study will help policymakers of local governments in the Kanto Plain to implement appropriate measures against future snowfall and wet snow accretion.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"30 6","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.2162","citationCount":"0","resultStr":"{\"title\":\"Future projections of wet snow accretion and snowfall in Kanto Plain, Japan, using a large ensemble climate simulation\",\"authors\":\"Yuki Asano, Hiroyuki Kusaka, Masaru Inatsu\",\"doi\":\"10.1002/met.2162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Snowfall and wet snow accretion in the Kanto Plain, including the Tokyo Metropolitan Area, significantly impact the lives of people there. This study used a large ensemble simulation to predict future changes in the frequency of snowfall and wet snow accretion, and the accumulated snowfall and wet snow accretion during an event. We assessed wet snow accretion using a model that considers the effects of temperature, precipitation, wind speed, and humidity. The future snowfall event frequency and accumulated snowfall were predicted to decrease by 0.73 year<sup>−1</sup> (61%) and 0.69 mm (11%), respectively, under +2-K future climate projections from those under the present climate. 87% and 13% reduction in future snowfall events was due to increasing temperature and reduced frequency of extratropical cyclone passages, respectively. Moreover, the future frequency of wet snow accretion events and accumulated wet snow accretion are predicted to decrease by 0.84 year<sup>−1</sup> (90%) and 0.73 kg m<sup>−1</sup> (29%), respectively, from those in the present. 91% and 9% reduction in future wet snow accretion events was due to increasing temperature and reduced frequency of extratropical cyclone passages, respectively. Snowfall and wet snow accretion risk are predicted to decline under the +2-K future climate projections from those under the current climate. The risk can decrease more significantly in the coastal areas than in the inland areas. We hope that the information provided in this study will help policymakers of local governments in the Kanto Plain to implement appropriate measures against future snowfall and wet snow accretion.</p>\",\"PeriodicalId\":49825,\"journal\":{\"name\":\"Meteorological Applications\",\"volume\":\"30 6\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.2162\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Meteorological Applications\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/met.2162\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meteorological Applications","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/met.2162","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
包括东京都市圈在内的关东平原的降雪和湿雪累积严重影响了那里人们的生活。本研究利用大集合模拟预测了未来降雪和湿雪增加频率的变化,以及一次事件期间的累计降雪和湿雪增加。我们使用一个考虑温度、降水、风速和湿度影响的模型来评估湿雪的增加。在当前气候下+2-K气候预估下,未来降雪事件频率和累计降雪量分别减少0.73年(61%)和0.69毫米(11%)。未来降雪量减少87%和13%分别是由于温度升高和温带气旋通过频率减少所致。未来湿雪增加事件和累积湿雪增加的频率将分别比现在减少0.84年(90%)和0.73 kg m−1(29%)。未来湿雪增加事件减少91%和9%分别是由于温度升高和温带气旋通过频率减少。与当前气候预测相比,在+2-K的未来气候预测下,降雪和湿雪增加的风险预计会下降。沿海地区的风险比内陆地区降低得更明显。我们希望本研究提供的信息能够帮助关东平原地方政府的决策者对未来的降雪和湿雪积累采取适当的措施。
Future projections of wet snow accretion and snowfall in Kanto Plain, Japan, using a large ensemble climate simulation
Snowfall and wet snow accretion in the Kanto Plain, including the Tokyo Metropolitan Area, significantly impact the lives of people there. This study used a large ensemble simulation to predict future changes in the frequency of snowfall and wet snow accretion, and the accumulated snowfall and wet snow accretion during an event. We assessed wet snow accretion using a model that considers the effects of temperature, precipitation, wind speed, and humidity. The future snowfall event frequency and accumulated snowfall were predicted to decrease by 0.73 year−1 (61%) and 0.69 mm (11%), respectively, under +2-K future climate projections from those under the present climate. 87% and 13% reduction in future snowfall events was due to increasing temperature and reduced frequency of extratropical cyclone passages, respectively. Moreover, the future frequency of wet snow accretion events and accumulated wet snow accretion are predicted to decrease by 0.84 year−1 (90%) and 0.73 kg m−1 (29%), respectively, from those in the present. 91% and 9% reduction in future wet snow accretion events was due to increasing temperature and reduced frequency of extratropical cyclone passages, respectively. Snowfall and wet snow accretion risk are predicted to decline under the +2-K future climate projections from those under the current climate. The risk can decrease more significantly in the coastal areas than in the inland areas. We hope that the information provided in this study will help policymakers of local governments in the Kanto Plain to implement appropriate measures against future snowfall and wet snow accretion.
期刊介绍:
The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including:
applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits;
forecasting, warning and service delivery techniques and methods;
weather hazards, their analysis and prediction;
performance, verification and value of numerical models and forecasting services;
practical applications of ocean and climate models;
education and training.