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影响东亚冬季气温的大气遥相关型的年代际变化特征
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作者 罗敬 施宁 +1 位作者 周波涛 张东东 《大气科学》 CSCD 北大核心 2024年第6期2247-2263,共17页
基于1958/1959~2020/2021年冬季NCEP、JRA-55、ERA5三种再分析资料,本文在扣除线性趋势后,采用EOF、REOF、相关与偏回归等方法,揭示出影响东亚冬季气温主要模态的大气遥相关型,并对这些遥相关型的年代际变化特征及影响进行了分析。结果... 基于1958/1959~2020/2021年冬季NCEP、JRA-55、ERA5三种再分析资料,本文在扣除线性趋势后,采用EOF、REOF、相关与偏回归等方法,揭示出影响东亚冬季气温主要模态的大气遥相关型,并对这些遥相关型的年代际变化特征及影响进行了分析。结果表明:与东亚冬季气温第一主成分(PC1)最相关的是斯堪的纳维亚遥相关型(SCA),与第二主成分(PC2)最相关的是东大西洋遥相关型(EA)。在年代际时间尺度上,SCA、EA型与东亚冬季气温PC1和PC2也存在着较好的对应关系。SCA型在1970s末期和2000s初期发生的位相变化对应着东亚冬季气温PC1的位相变化;EA型在1980s初期、1990s末期和2010s初期发生的位相变化大致对应着东亚冬季气温PC2的位相变化。但需指出的是,SCA指数与东亚冬季气温PC1之间的相关系数(R1)以及EA指数与东亚冬季气温PC2之间的相关系数(R2)却呈现出不同于SCA和EA自身位相的年代际变化特征。R1在1980s中期以前呈减弱特征,此后数值明显增大,表明SCA型对东亚冬季气温影响更显著。R1的年代际强弱变化与SCA型中位于俄罗斯西部的环流异常是否向东扩展有关,AMO在其中起着重要的调节作用。至于R2,它的年代际强弱变化也较明显,其大值时段主要为1970s、1980s和2000年后,这与EA型是否在东亚地区形成局地的经向偶极型环流异常有关,而与海温或海冰异常的关系并不显著。 展开更多
关键词 东亚冬季气温 大气遥相关型 斯堪的纳维亚遥相关型(SCA) 东大西洋遥相关型(EA) 年代际变化
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近百年东亚冬季气温及其大气环流变化型态 被引量:18
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作者 范可 刘辉 《大气科学》 CSCD 北大核心 2013年第2期383-394,共12页
利用最新20世纪近百年再分析气象资料,研究近百年东亚冬季气温变化型及其相关的大气环流型态。结果表明近百年内东亚冬季气温主要有两种变化型:第一是东亚西南与东北相反气温变化型,表现在40°N以南及105°E以西地区(西南地区)... 利用最新20世纪近百年再分析气象资料,研究近百年东亚冬季气温变化型及其相关的大气环流型态。结果表明近百年内东亚冬季气温主要有两种变化型:第一是东亚西南与东北相反气温变化型,表现在40°N以南及105°E以西地区(西南地区)气温变化与40°N以北及105°E以东地区(东北地区)变化相反;第二是40°N以南气温一致变化型。与第一种气温变化型耦合的大气模态是500hPa欧亚型遥相关、西伯利亚高压及北大西洋涛动。当欧亚型遥相关负位相,北大西洋涛动正位相及西伯利亚高压减弱时,有利于蒙古和我国105°E以东的区域增温而我国西南地区和青藏高原降温,反之亦然。第二种气温变化型耦合大气模态是500hPa西太平洋型遥相关,北太平洋涛动。当西太平洋型遥相关及北太平洋涛动处于正位相时(北太平洋北负南正),东亚40°N以南地区增温,东亚40°N以北地区降温。耦合的大气模态的型态差异,影响各阶段气温的年际变化。近一百年中,欧亚型遥相关和北大西洋涛动在1984~2010期间的型态最显著,是20世纪80年代东亚显著增暖的原因之一。研究还发现20世纪中期后东亚气温的年际变化与极地环流的变化联系紧密,表现在西伯利亚高压范围东扩并与极地环流联系,也是近百年气温趋势上升的一个原因。 展开更多
关键词 近百年东亚冬季气温变化型 大气环流型态 气候增暖
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东亚大槽和西伯利亚高压的季节内变率对冬季东亚气温的影响
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作者 李天明 丁柳丹 《大气科学学报》 CSCD 北大核心 2024年第2期184-200,共17页
基于气候态定义了西伯利亚高压指数(SH index)、东亚大槽指数(ET index)和高低压系统间的东亚经向风指数(V index),使用回归分析探究西伯利亚高压和东亚大槽在季节内尺度上对东亚地区冬季温度的影响机理,构建线性模型对冬季华南地区季... 基于气候态定义了西伯利亚高压指数(SH index)、东亚大槽指数(ET index)和高低压系统间的东亚经向风指数(V index),使用回归分析探究西伯利亚高压和东亚大槽在季节内尺度上对东亚地区冬季温度的影响机理,构建线性模型对冬季华南地区季节内尺度温度进行延伸期预报。结果表明:西伯利亚高压和东亚大槽系统变化中最显著的是季节内尺度信号;季节内尺度SH index和ET index对V index的贡献分别为82.6%和42.2%;3个指数的回归模态在对流层中层对应西北-东南向低频罗斯贝波列缓慢东南传播,低层水汽、近地面层环流、降水及2 m温度场配置良好,当西伯利亚高压深厚或东亚大槽发展时,经向风关键区北风强盛,有利于冬季高纬度地区干冷空气向东亚输送;V index对华南地区冬季季节内尺度2 m气温的有效预报时效达25 d。 展开更多
关键词 西伯利亚高压 东亚大槽 季节内尺度变率 冬季东亚气温 延伸期预报
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机器学习的原理及其在气候预测中的潜在应用 被引量:34
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作者 贺圣平 王会军 +1 位作者 李华 赵家臻 《大气科学学报》 CSCD 北大核心 2021年第1期26-38,共13页
经历了两次“人工智能寒冬”之后,机器学习于近十年再次进入大众视野,且有腾飞发展之势,已在图像识别和语音识别系统等实际应用方面取得了巨大成功。从已知数据集中总结关键信息和主要特征,从而对新数据做出准确的识别和预测,分别是机... 经历了两次“人工智能寒冬”之后,机器学习于近十年再次进入大众视野,且有腾飞发展之势,已在图像识别和语音识别系统等实际应用方面取得了巨大成功。从已知数据集中总结关键信息和主要特征,从而对新数据做出准确的识别和预测,分别是机器学习的主要任务和主要目标之一。从这个角度看,将机器学习整合到气候预测的思路切实可行。本文,首先以线性拟合参数(即斜率和截距)调整为例,介绍了机器学习通过梯度下降算法优化参数并最终得到线性拟合函数的过程。其次,本文介绍了神经网络的构建思路以及如何应用神经网络拟合非线性函数的过程。最后,阐述了深度学习之卷积神经网络的框架原理,并将卷积神经网络应用到东亚冬季逐月气温的回报试验,并与气候动力模式的回报结果相比较。本文将有助于理解机器学习的基本原理,为机器学习应用于气候预测提供一定的参考思路。 展开更多
关键词 机器学习 神经网络 卷积神经网络 气候预测 东亚冬季气温
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Reversal of monthly East Asian winter air temperature in 2020/21 and its predictability 被引量:2
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作者 Hongqing Yang Ke Fan 《Atmospheric and Oceanic Science Letters》 CSCD 2022年第1期42-48,共7页
In this study,the reversal of monthly East Asian winter air temperature(EAWT) in 2020/21 and its predictability were investigated.The reversal of monthly EAWT in 2020/21 was characterized by colder temperatures in ear... In this study,the reversal of monthly East Asian winter air temperature(EAWT) in 2020/21 and its predictability were investigated.The reversal of monthly EAWT in 2020/21 was characterized by colder temperatures in early winter(December 2020 to mid-January 2021) and warmer temperatures in late winter(mid-January to February 2021).Results show that the reversal in the intensity of the Siberian high(SH) also occurred between early and late winter in 2020/21.In early winter,as the Barents-Laptev sea ice in the previous September(i.e., in2020) reached a minimum for the period 1981-2020,the SH was strengthaned via a reduction of the meridional gradient between the Arctic and East Asia.In late winter,as a sudden stratospheric warming occurred on 5 January 2021,the stratospheric polar vortex weakened,with the weakest center shifting to North America in January.Subsequently,the negative Arctic Oscillation-like structure shifted towards North America in the middle and lower troposphere,which weakened the SH in late winter.Furthermore,the predictability of the reversal in EAWT in 2020/21 was validated based on monthly and daily predictions from NCEP-CFSv2(National Centers for Environment Prediction-Climate Forecast System,version 2).The results showed that the model was unable to reproduce the monthly reversal of EAWT.However,it was able to forecast the reversal date(18 January 2021)of EAWT at lead times of 1-20 days on the daily scale. 展开更多
关键词 Monthly reversal East Asia Winter air temperature Barents-Laptev sea ice Stratospheric polar vortex Siberian high PREDICTABILITY
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A possible way to extract a stationary relationship between ENSO and the East Asian winter monsoon 被引量:1
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作者 FAN Genchang LV Feng +1 位作者 ZHANG Jinglong FU Jiao 《Atmospheric and Oceanic Science Letters》 CSCD 2020年第4期294-300,共7页
Previous studies have revealed that the relationship between the El Niño-Southern Oscillation(ENSO)and the East Asian winter monsoon(EAWM)is not statistically significant when the Pacific Decadal Oscillation(PDO)... Previous studies have revealed that the relationship between the El Niño-Southern Oscillation(ENSO)and the East Asian winter monsoon(EAWM)is not statistically significant when the Pacific Decadal Oscillation(PDO)is in its positive phase.This study explores a possible way to obtain a robust ENSO-EAWM relationship from a dynamical point of view.Here,the authors show that the East Asian winter temperature is significantly and continuously correlated with ENSO when the linear impact of the PDO has been linearly removed from ENSO.Such a conclusion is confirmed by different reanalysis datasets.The dynamical process intensifying the ENSO-EAWM is further investigated from the perspective of whether or not the atmospheric teleconnection between the Pacific and East Asia has established.Compared to the situation associated with the original ENSO in the positive phase of the PDO,the Walker circulation associated with the processed ENSO,from which the effect of North Pacific climate systems has been removed,tends to exert a more pronounced influence on the atmospheric circulation over the western North Pacific.Consequently,an anomalous anticyclone emerges in the Kuroshio extension.In this sense,the Pacific-East Asian teleconnection is also well established during the positive phase of the PDO,which favors the impact of ENSO on East Asian winter temperature. 展开更多
关键词 ENSO Pacific Decadal Oscillation East Asia winter monsoon temperature
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Simulated and projected relationship between the East Asian winter monsoon and winter Arctic Oscillation in CMIP5 models 被引量:1
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作者 LI Shuo HE Sheng-Ping +1 位作者 LI Fei WANG Hui-Jun 《Atmospheric and Oceanic Science Letters》 CSCD 2018年第5期417-424,共8页
Interdecadal change in the relationship between the East Asian winter monsoon(EAWM)and the Arctic Oscillation(AO)has been documented by many studies.This study,utilizing the model outputs from phase 5 of the Coupled M... Interdecadal change in the relationship between the East Asian winter monsoon(EAWM)and the Arctic Oscillation(AO)has been documented by many studies.This study,utilizing the model outputs from phase 5 of the Coupled Model Intercomparison Project(CMIP5),evaluates the ability of the coupled models in CMIP5 to capture the intensified relationship between the EAWM and winter AO since the 1980s,and further projects the evolution of the EAWM–AO relationship during the 21st century.It is found that the observed evolution of the EAWM–AO relationship can be reproduced well by some coupled models(e.g.,GFDL-ESM2M,GISS-E2-H,and MPI-ESM-MR).The coupled models’simulations indicate that the impact of winter AO on the EAWM-related circulation and East Asian winter temperature has strengthened since the 1980s.Such interdecadal change in the EAWM–AO relationship is attributed to the intensified propagation of stationary planetary waves associated with winter AO.Projections under the RCP4.5 and RCP8.5 scenarios suggest that the EAWM–AO relationship is significant before the 2030s and after the early 2070s,and insignificant during the 2060s,but uncertain from the 2030s to the 2050s. 展开更多
关键词 East Asian winter monsoon(EAWM) winter Arctic Oscillation(AO) CMIP5 interdecadal change
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