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Interannual evolution of the chemical composition,sources and processes of PM_(2.5)in Chengdu,China:Insights from observations in four winters 被引量:4
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作者 Junke Zhang Jiaqi Li +6 位作者 Yunfei Su Chunying Chen Luyao Chen Xiaojuan Huang Fangzheng Wang Yawen Huang Gehui Wang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2024年第4期32-45,共14页
The air quality in China has improved significantly in the last decade and,correspondingly,the characteristics of PM_(2.5)have also changed.We studied the interannual variation of PM_(2.5)in Chengdu,one of the most he... The air quality in China has improved significantly in the last decade and,correspondingly,the characteristics of PM_(2.5)have also changed.We studied the interannual variation of PM_(2.5)in Chengdu,one of the most heavily polluted megacities in southwest China,during the most polluted season(winter).Our results show that the mass concentrations of PM_(2.5)decreased significantly year-by-year,from 195.8±91.0μg/m~3in winter 2016 to 96.1±39.3μg/m^(3)in winter 2020.The mass concentrations of organic matter(OM),SO_()4^(2-),NH_(4)^(+)and NO_(3)^(-)decreased by 49.6%,57.1%,49.7% and 28.7%,respectively.The differential reduction in the concentrations of chemical components increased the contributions from secondary organic carbon and NO_(3)^(-)and there was a larger contribution from mobile sources.The contribution of OM and NO_(3)^(-)not only increased with increasing levels of pollution,but also increased year-by-year at the same level of pollution.Four sources of PM_(2.5)were identified:combustion sources,vehicular emissions,dust and secondary aerosols.Secondary aerosols made the highest contribution and increased year-by-year,from 40.6%in winter 2016 to 46.3% in winter 2020.By contrast,the contribution from combustion sources decreased from 14.4% to 8.7%.Our results show the effectiveness of earlier pollution reduction policies and emphasizes that priority should be given to key pollutants(e.g.,OM and NO_(3)^(-))and sources(secondary aerosols and vehicular emissions)in future policies for the reduction of pollution in Chengdu during the winter months. 展开更多
关键词 PM_(2.5) Chemical composition SOURCES Interannual evolution WINTER Chengdu
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西藏扎布耶盐湖水位Winters和ARIMA模型分析 被引量:9
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作者 齐文 郑绵平 《湖泊科学》 EI CAS CSCD 北大核心 2006年第1期21-28,共8页
由于温室效应,气温加速上升,我国西部干旱一半干旱盐湖区盐湖水位出现加速下降或上升等变化.藏北高原湖泊众多,但都缺少湖水位的人工观测记录.中国地质科学院盐湖中心自1990年始在西藏扎布耶盐湖建立了长期科学观测站,进行水位动态观... 由于温室效应,气温加速上升,我国西部干旱一半干旱盐湖区盐湖水位出现加速下降或上升等变化.藏北高原湖泊众多,但都缺少湖水位的人工观测记录.中国地质科学院盐湖中心自1990年始在西藏扎布耶盐湖建立了长期科学观测站,进行水位动态观测,积累了连续13年珍贵的数据.如何根据湖泊水位历史记录数据,准确的定量预测水位中短期变化,是关系着盐湖资源开发命运的大事.本文用Winters线性和季节性指数平滑法、ARIMA乘积季节模型两种时间序列分析方法,根据西藏扎布耶盐湖1991年1月-2003年12月水位变化的时间序列数据,探讨了两种时间序列数据的预测方法在盐湖水位动态变化预测中的应用. 展开更多
关键词 扎布耶盐湖 水位预测 winters模型 ARIMA乘积季节模型
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Holt-Winters方法与ARIMA模型在中国航空旅客运输量预测中的比较研究 被引量:18
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作者 张丽 闫世锋 《上海工程技术大学学报》 CAS 2006年第3期280-283,共4页
我国航空运输市场近几年保持持续高速增长态势,国内的航空公司、机场及相关企业有着很大的发展空间。对航空旅客运输量作出准确的预测是相关企业和部门准确把握行业发展趋势,制定正确竞争和投资战略的基础和前提。根据航空旅客运输量趋... 我国航空运输市场近几年保持持续高速增长态势,国内的航空公司、机场及相关企业有着很大的发展空间。对航空旅客运输量作出准确的预测是相关企业和部门准确把握行业发展趋势,制定正确竞争和投资战略的基础和前提。根据航空旅客运输量趋势性和季节性较强的数据特点,分别使用季节ARIMA模型和加法模型下Holt Winters方法,对中国航空旅客运输量作出了预测,并将预测结果加以比较。 展开更多
关键词 中国航空旅客运输量 Holt winters方法 ARIMA模型
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综合Winters模型和ARMA模型预测GDP 被引量:3
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作者 陈美 王红芹 程铁信 《天津工业大学学报》 CAS 2007年第5期83-85,88,共4页
以广东省GDP的时间序列数据为依据,分别应用Winters模型和ARMA模型以及加权综合这两个模型的方法对其进行季度性GDP值的短期预测,通过比较由不同方法得出的预测结果的绝对百分误差的大小,选择出绝对百分误差最小的方法·
关键词 GDP 时间序列 winters模型 ARMA模型
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航线需求预测的一种改进Winters方法 被引量:6
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作者 何冬昀 罗利 《交通运输系统工程与信息》 EI CSCD 2006年第6期103-107,共5页
提高航线需求预测精度是航空客运收益管理系统的重要研究课题.提出一种首先运用EM算法对航线历史订座数据中由于受资源限制而没有被满足的需求进行修复,取得更为准确的需求数据,然后,针对航班销售具有提前预订的特点,将航线历史订座数... 提高航线需求预测精度是航空客运收益管理系统的重要研究课题.提出一种首先运用EM算法对航线历史订座数据中由于受资源限制而没有被满足的需求进行修复,取得更为准确的需求数据,然后,针对航班销售具有提前预订的特点,将航线历史订座数据整合成一个提前日矩阵,使预测时能够利用更多的已知信息并减少了计算数据量,最后再运用Winters模型进行预测的航线需求预测方法.以成都到广州航线历史数据为例仿真计算,预测结果的平均误差为4.9%,而直接采用winters法进行预测的平均误差为21.7%,验证了算法的可行性和有效性. 展开更多
关键词 航线需求预测 winters模型 EM算法 提前日矩阵
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应用holt-winters加法模型预测出院人次 被引量:10
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作者 陈媛 《中国卫生统计》 CSCD 北大核心 2012年第2期260-261,共2页
目的分析holt-winters加法模型预测出院人次的效果。方法使用Eviews6.0软件,采用holt-winters加法模型预测,并与单参数指数平滑方法的计算结果进行比较。结果加法模型拟合效果很好,加法模型的均方误差较单参数平滑方法小。结论 holt-win... 目的分析holt-winters加法模型预测出院人次的效果。方法使用Eviews6.0软件,采用holt-winters加法模型预测,并与单参数指数平滑方法的计算结果进行比较。结果加法模型拟合效果很好,加法模型的均方误差较单参数平滑方法小。结论 holt-winters加法模型适用于预测出院人次序列。 展开更多
关键词 holt winters模型 预测 单参数指数平滑方法
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基于Holt-Winters与最小二乘支持向量机的混合预测模型 被引量:2
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作者 刘宝成 张仲荣 +1 位作者 盛秀梅 程丽娟 《洛阳理工学院学报(自然科学版)》 2017年第4期79-84,共6页
为了提高地下水埋深时间序列的预测精度,本文应用Holt-Winters三参数指数平滑法作为预测模型,使用最小二乘支持向量机对残差序列进行预测。由于核参数和惩罚因子在很大程度上直接影响了最小二乘支持向量机的预测性能,本文选用果蝇优化... 为了提高地下水埋深时间序列的预测精度,本文应用Holt-Winters三参数指数平滑法作为预测模型,使用最小二乘支持向量机对残差序列进行预测。由于核参数和惩罚因子在很大程度上直接影响了最小二乘支持向量机的预测性能,本文选用果蝇优化算法对其参数进行优化选取,该方法不仅能够建立最优的混合预测模型,而且能够很好地捕获地下水埋深序列的非线性特征。选用甘肃民勤县大坝乡城西八社地下水监测站点的数据来验证所建模型的预测性能,实验结果表明与传统的单一预测方法相比,本文所建混合预测模型提高了预测精度。 展开更多
关键词 Holt—winters三参数指数平滑 最小二乘支持向量机 果蝇优化算法 混合预测模型
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基于小波变换和季节性Holt-Winters模型的短期负荷预测方法 被引量:8
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作者 杨首晖 陈传彬 +3 位作者 王雪晶 李庆伟 吴元林 陈静 《电力需求侧管理》 2021年第5期70-75,共6页
精准的负荷预测对售电公司在电力市场中的运行起着十分重要的作用,而企业用户的负荷受多种因素的影响具有不平稳的特性,对此,提出了基于离散小波分解和粒子群优化的季节性Holt⁃Winters模型的短期负荷预测方法。针对原始负荷序列周期性... 精准的负荷预测对售电公司在电力市场中的运行起着十分重要的作用,而企业用户的负荷受多种因素的影响具有不平稳的特性,对此,提出了基于离散小波分解和粒子群优化的季节性Holt⁃Winters模型的短期负荷预测方法。针对原始负荷序列周期性不平稳的特性,利用离散小波变换对原始负荷序列进行分解,并采用季节性Holt⁃Winters模型进行预测,同时借助小波去噪和粒子群算法进一步提高预测模型的准确性。小波去噪在过滤原始数据中潜在的噪声的同时,对数据进行平滑处理,而粒子群算法能让Holt⁃Winters模型在训练过程找到最优参数。采用该模型来预测具有不同变化趋势的日负荷曲线,结果表明所提出的模型具有较高的预测精度,可适用于不同用电类型的用户负荷短期预测。 展开更多
关键词 短期负荷预测 小波变换 Holt⁃winters模型 粒子群算法 时间序列
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Winters模型在保费收入预测中的应用——以大连市寿险原保险保费收入预测为例 被引量:1
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作者 张萍 《保险职业学院学报》 2014年第2期11-14,共4页
以大连市寿险原保险保费收入的时间序列数据为依据,分别应用Winters加法模型和Winters乘法模型的方法对其进行月度保费收入值的预测,通过比较由不同方法得出的预测结果的绝对百分误差的大小,选择出绝对百分误差最小的方法。
关键词 保费收入 时间序列 预测 winters模型
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Holt-Winters模型在卷烟预测中的应用
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作者 李明明 何利力 《电脑编程技巧与维护》 2013年第4期23-24,共2页
提出基于Holt-Winters卷烟预测模型,对该预测模型设计了相应的算法,并以实际数据为例验证了Holt-Winters模型预测方法的有效性和实用性。
关键词 Holt—winters预测模型 时间序列 预测
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基于Winters乘法模型的中国邮政包件数预测分析
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作者 焦国柱 吕善绪 +1 位作者 郭姗姗 薛洁 《物流工程与管理》 2019年第12期31-33,共3页
中国邮政包件数是中国邮政业务量的主要指标之一,能够反映出中国邮政业务在市场中的地位。近年来,受到顺丰、中通、圆通、申通、韵达等公司的影响,中国邮政的包件数月度数据呈现趋势性下降并伴随季节性波动时间序列。为此,文中采用SPSS... 中国邮政包件数是中国邮政业务量的主要指标之一,能够反映出中国邮政业务在市场中的地位。近年来,受到顺丰、中通、圆通、申通、韵达等公司的影响,中国邮政的包件数月度数据呈现趋势性下降并伴随季节性波动时间序列。为此,文中采用SPSS统计分析软件,以2012年1月至2018年12月邮政业务量包件数为原始数据,建立winters乘法模型,对2019年每月中国快递业务量的包件数进行预测,并与2019年1月至6月包件数实际数据进行比较,得出的结果显示预测精度较高,可以为相关部门决策提供依据。 展开更多
关键词 winters模型 邮政业务量 预测
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Mechanism and effects of the increase in winter temperatures in the Arctic region on cold winters in Heilongjiang Province,Northeast China for the period 1961-2018
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作者 WANG Xiaodi LI Yongsheng +4 位作者 ZHANG Lijuan SONG Shuaifeng PAN Tao REN Chong TAN Yulong 《Journal of Geographical Sciences》 SCIE CSCD 2022年第2期225-240,共16页
With the advent of climate change,winter temperatures have been steadily increasing in the middle-to-high latitudes of the world.However,we have not found a corresponding decrease in the number of extremely cold winte... With the advent of climate change,winter temperatures have been steadily increasing in the middle-to-high latitudes of the world.However,we have not found a corresponding decrease in the number of extremely cold winters.This paper,based on Climatic Research Unit(CRU)re-analysis data,and methods of trend analysis,mutation analysis,correlation analysis,reports on the effects of Arctic warming on winter temperatures in Heilongjiang Province,Northeast China.The results show that:(1)during the period 1961-2018,winter temperatures in the Arctic increased considerably,that is,3.5 times those of the Equator,which has led to an increasing temperature gradient between the Arctic and the Equator.An abrupt change in winter temperatures in the Arctic was observed in 2000.(2)Due to the global warming,an extremely significant warming occurred in Heilongjiang in winter,in particular,after the Arctic mutation in 2000,although there were two warm winters,more cold winters were observed and the interannual variability of winter temperature also increased.(3)Affected by the warming trend in the Arctic,the Siberian High has intensified,and both the Arctic Vortex and the Eurasian Zonal Circulation Index has weakened.This explains the decrease in winter temperatures in Heilongjiang,and why cold winters still dominate.Moreover,the increase in temperature difference between the Arctic and the Equator is another reason for the decrease in winter temperatures in Heilongjiang. 展开更多
关键词 temperature of Arctic region in winter cold winter effect MECHANISM Heilongjiang Province
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COOL COMMITMENT TO 2022 China is gearing up to host an unforgettable Beijing 2022 Olympic and Paralympic Games to ignite wintersports enthusiasm around the world
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《China Report ASEAN》 2021年第1期10-11,共2页
The 2022 Beijing Winter Olympic Games are only a year away.Three years ago,at the closing ceremony of the 23rd Winter Olympics in PyeongChang,South Korea,Chinese President Xi Jinping extended a warm invitation to peop... The 2022 Beijing Winter Olympic Games are only a year away.Three years ago,at the closing ceremony of the 23rd Winter Olympics in PyeongChang,South Korea,Chinese President Xi Jinping extended a warm invitation to people from all over the world:“See you in Beijing in 2022!”He pledged that Beijing would strive to deliver on its commitment to present an exciting,extraordinary,and outstanding Winter Olympic Games. 展开更多
关键词 FORGET WINTER WINTER
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Warmer winters affect rat populations
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作者 李红丹 《疯狂英语(新策略)》 2025年第8期33-36,78,79,共6页
Human activities have unintentionally helped rats grow rapidly worldwide.Beyond food waste and heated buildings,expanding cities and poorly maintained underground systems create endless shelters for rats.Now,climate c... Human activities have unintentionally helped rats grow rapidly worldwide.Beyond food waste and heated buildings,expanding cities and poorly maintained underground systems create endless shelters for rats.Now,climate change adds another challenge.A recent study in Science Advances reveals that warmer winters are boosting rat populations in cities.Researchers analyzed 16 cities across North America and Europe,finding that regions with faster temperature rises reported more frequent rat sightings.For example,Washington,D.C.saw a 25%increase in rat activity per 1℃ winter warming. 展开更多
关键词 human activities rat populations heated buildingsexpanding heated buildings warmer winters maintained underground systems food waste
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基于Elman神经网络和支持向量机的滑坡位移预测组合模型研究 被引量:1
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作者 叶童 吴超 《四川水利》 2025年第4期36-41,共6页
准确预测滑坡位移,是提高滑坡灾害预警准确度的关键环节,建立合适的滑坡位移预测模型是解决这一问题的有效手段。文章以中国三峡库区的八字门滑坡为例,利用实地测量数据,建立了基于Elman神经网络和支持向量机(Support Vector Machine,S... 准确预测滑坡位移,是提高滑坡灾害预警准确度的关键环节,建立合适的滑坡位移预测模型是解决这一问题的有效手段。文章以中国三峡库区的八字门滑坡为例,利用实地测量数据,建立了基于Elman神经网络和支持向量机(Support Vector Machine,SVM)的滑坡位移动态预测组合模型。结果表明:八字门滑坡位移序列具有趋势性、季节性和周期性;相比于winters模型,组合模型的滑坡位移预测精度更高;适用于滑坡位移的中长期预测,更有利于深入挖掘滑坡位移序列内部的隐含信息,是一种行之有效的滑坡位移预测新方法。 展开更多
关键词 位移预测 时间序列分析 winters模型 ELMAN神经网络 支持向量机(SVM)
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Effects of micro-sprinkler irrigation and topsoil compaction on winter wheat grain yield and water use efficiency in the Huaibei Plain, China 被引量:1
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作者 Jinpeng Li Siqi Wang +6 位作者 Zhongwei Li Kaiyi Xing Xuefeng Tao Zhimin Wang Yinghua Zhang Chunsheng Yao Jincai Li 《Journal of Integrative Agriculture》 2025年第8期2974-2988,共15页
Increasing the grain yield(GY) and water use efficiency(WUE) of winter wheat in the Huaibei Plain(HP), China are essential. However, the effects of micro-sprinkler irrigation and topsoil compaction after wheat seed so... Increasing the grain yield(GY) and water use efficiency(WUE) of winter wheat in the Huaibei Plain(HP), China are essential. However, the effects of micro-sprinkler irrigation and topsoil compaction after wheat seed sowing on the GY and WUE are unclear. Therefore, a two-year field experiment was conducted during the 2021–2023 winter wheat growing seasons with a total six treatments: rain-fed(RF), conventional irrigation(CI) and micro-sprinkler irrigation(MI), as well as topsoil compaction after seed sowing under these three irrigation methods(RFC, CIC, and MIC). The results in the two years indicated that MI significantly increased GY compared to CI and RF, by averages of 17.9 and 42.1%, respectively. The increase in GY of MI was due to its significant increases in the number of spikes, kernels per spike, and grain weight. The chlorophyll concentration in flag leaves of MI after the anthesis stage maintained higher levels than with CI and RF, and was the lowest in RF. This was due to the dramatically enhanced catalase and peroxidase activities and lower malondialdehyde content under MI. Compared with RF and CI, MI significantly promoted dry matter remobilization and production after anthesis, as well as its contribution to GY. In addition, MI significantly boosted root growth, and root activity during the grain-filling stage was remarkably enhanced compared to CI and RF. In 2021–2022, there was no significant difference in WUE between MI and RF, but the WUE of RF was significantly lower than that of MI in 2022–2023. However, the WUE in MI was significantly improved compared to CI, and it increased by averages of 15.1 and 17.6% for the two years. Topsoil compaction significantly increased GY and WUE under rain-fed conditions due to improved spike numbers and dry matter production. Overall, topsoil compaction is advisable for enhancing GY and WUE in rain-fed conditions, whereas micro-sprinkler irrigation can be adopted to simultaneously achieve high GY and WUE in the HP. 展开更多
关键词 winter wheat MICRO-SPRINKLER grain yield root distribution water utilization
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Coupling Multi-Source Satellite Remote Sensing and Meteorological Data to Discriminate Yellow Rust and Fusarium Head Blight in Winter Wheat 被引量:1
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作者 Qi Sheng Huiqin Ma +4 位作者 Jingcheng Zhang Zhiqin Gui Wenjiang Huang Dongmei Chen Bo Wang 《Phyton-International Journal of Experimental Botany》 2025年第2期421-440,共20页
Yellow rust(Puccinia striiformis f.sp.Tritici,YR)and fusarium head blight(Fusarium graminearum,FHB)are the two main diseases affecting wheat in the main grain-producing areas of East China,which is common for the two ... Yellow rust(Puccinia striiformis f.sp.Tritici,YR)and fusarium head blight(Fusarium graminearum,FHB)are the two main diseases affecting wheat in the main grain-producing areas of East China,which is common for the two diseases to appear simultaneously in some main production areas.It is necessary to discriminate wheat YR and FHB at the regional scale to accurately locate the disease in space,conduct detailed disease severity monitoring,and scientific control.Four images on different dates were acquired from Sentinel-2,Landsat-8,and Gaofen-1 during the critical period of winter wheat,and 22 remote sensing features that characterize the wheat growth status were then calculated.Meanwhile,6 meteorological parameters that reflect the wheat phenological information were also obtained by combining the site meteorological data and spatial interpolation technology.Then,the principal components(PCs)of comprehensive remote sensing and meteorological features were extracted with principal component analysis(PCA).The PCs-based discrimination models were established to map YR and FHB damage using the random forest(RF)and backpropagation neural network(BPNN).The models’performance was verified based on the disease field truth data(57 plots during the filling period)and 5-fold cross-validation.The results revealed that the PCs obtained after PCA dimensionality reduction outperformed the initial features(IFs)from remote sensing and meteorology in discriminating between the two diseases.Compared to the IFs,the average area under the curve for both micro-average and macro-average ROC curves increased by 0.07 in the PCs-based RF models and increased by 0.16 and 0.13,respectively,in the PCs-based BPNN models.Notably,the PCs-based BPNN discrimination model emerged as the most effective,achieving an overall accuracy of 83.9%.Our proposed discrimination model for wheat YR and FHB,coupled with multi-source remote sensing images and meteorological data,overcomes the limitations of a single-sensor and single-phase remote sensing information in multiple stress discrimination in cloudy and rainy areas.It performs well in revealing the damage spatial distribution of the two diseases at a regional scale,providing a basis for detailed disease severity monitoring,and scientific prevention and control. 展开更多
关键词 Winter wheat yellow rust(YR) fusarium head blight(FHB) DISCRIMINATION remote sensing and meteorology
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The 9th Asian Winter Games
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作者 常聪莹 张超(指导) 《中学生英语》 2025年第15期7-7,共1页
The 9th Asian Winter Games were successfully held in Harbin,Heilongjiang Province,China,from February 7 to February 14,2025.This exciting event brought together athletes from all over Asia.They showed their great skil... The 9th Asian Winter Games were successfully held in Harbin,Heilongjiang Province,China,from February 7 to February 14,2025.This exciting event brought together athletes from all over Asia.They showed their great skills and strong will in different kinds of winter sports,such as skiing,skating and ice hockey. 展开更多
关键词 SKATING Asian Winter Games Heilongjiang province SKIING winter sportssuch winter sports China HARBIN
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The Sun in Winter
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作者 张红莲 张超 《中学生英语》 2025年第19期6-6,共1页
In winter,the weather is usually cold and everything seems a bit dull.Butthe sun in winter is special.When the sun shines brightly in the clear blue sky,it brings warm(1)to thecold world.The golden sunlight spreads he... In winter,the weather is usually cold and everything seems a bit dull.Butthe sun in winter is special.When the sun shines brightly in the clear blue sky,it brings warm(1)to thecold world.The golden sunlight spreads here and there and it makes the whitesnow shine like diamonds.Although the trees are usually bare in winter,but(2)they look beautiful with the sunlight falling on them. 展开更多
关键词 SKY weather WINTER trees SNOW SUNLIGHT sun WARMTH
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A non-ENSO driver of the South China Sea winter monsoon:North Pacific sea ice
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作者 Chang Kong Xiaodan Chen +1 位作者 Zhiping Wen Yuanyuan Guo 《Atmospheric and Oceanic Science Letters》 2025年第5期41-47,共7页
The South China Sea winter monsoon(SCSWM),an integral component of the East Asian winter monsoon,connects extratropical and tropical regions.Utilizing ERA5 reanalysis and PAMIP simulations,the relationship between Arc... The South China Sea winter monsoon(SCSWM),an integral component of the East Asian winter monsoon,connects extratropical and tropical regions.Utilizing ERA5 reanalysis and PAMIP simulations,the relationship between Arctic sea ice and the SCSWM is investigated.The authors reveal that its strongest relationship with Arctic sea ice occurs in the North Pacific sector,i.e.,the Sea of Okhotsk and western Bering Sea.This link persists throughout the cold season,peaks when sea ice precedes the SCSWM by one month,and is independent of ENSO.North Pacific sea-ice loss weakens the meridional temperature gradient(MTG)and vertical wind shear in midlatitudes,reducing baroclinic eddy formation.Given the reduced zonal wind according to the thermal wind relation,the reduced wave activity flux in the upper troposphere must be balanced by equatorward wind based on the quasi-geostrophic momentum equation.This generates an anomalous meridional overturning circulation with descent and low-level divergence around 30°N,which intensifies the divergent component of the SCSWM.The divergent northerly anomalies also lead to cold advection and subtropical cooling.The enhanced MTG due to the subtropical cooling and weakened MTG due to high-latitude warming closely tied to reduced North Pacific sea ice displace the westerly jet southward,creating cyclonic shears over the North Pacific and intensifying the rotational component of the SCSWM.These findings establish North Pacific sea ice as a non-ENSO driver of the SCSWM,holding substantial implications for the predictability of the SCSWM. 展开更多
关键词 South China Sea winter monsoon Arctic sea ice East Asian winter monsoon PAMIP
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