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用于厄尔尼诺-南方涛动(ENSO)研究的海气耦合模式:以对我国三个环流型模式(CGCMs)的评估为例 被引量:1
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作者 张荣华 尹露莹 +9 位作者 高川 王宏娜 刘思颖 智海 陈林 康贤彪 俞永强 宋振亚 吴统文 吴方华 《海洋与湖沼》 北大核心 2025年第3期475-501,共27页
基于数理方程的海气耦合模式是研究厄尔尼诺-南方涛动(El Niño-Southern Oscillation,ENSO)的有效工具。由于ENSO模拟性能强烈地依赖于模式的构建及海气过程的表征,目前已发展了各类复杂程度不同的海气耦合模式,包括中间型耦合模式... 基于数理方程的海气耦合模式是研究厄尔尼诺-南方涛动(El Niño-Southern Oscillation,ENSO)的有效工具。由于ENSO模拟性能强烈地依赖于模式的构建及海气过程的表征,目前已发展了各类复杂程度不同的海气耦合模式,包括中间型耦合模式(Intermediate coupled models,ICMs)、混合型耦合模式(Hybrid coupled models,HCMs)和完整的环流型耦合模式等。其中最为复杂的是基于原始方程组的海气耦合环流模式(Coupled general circulation models,CGCMs),它们均由描述大气和海水运动的大气环流模式(Atmospheric general circulation models,AGCMs)和海洋环流模式(Oceanic general circulation models,OGCMs)所组成,包含了广泛而尽可能详尽的物理过程及参数化方案;采用全变量(一个状态变量可分为气候态部分和年际异常部分)和海气间的完全耦合。早期发展的CGCM常常会出现气候漂移现象,对气候平均态和ENSO模拟等会出现较大的模式误差,为此需要采用通量修正(flux corrections)等方法,以减小平均态模拟的系统性误差;这类模式不仅对计算资源有更高的要求,其调试与优化也面临巨大技术挑战。经过几十年的发展和改进,当前使用的CGCMs已经能够真实地再现与ENSO相关的海气变量年际异常的时空结构及演变,这些在耦合模式国际比较计划第6阶段(Coupled model intercomparison project phase 6,CMIP6)模拟中已得到清晰体现上。目前我国不同科研机构和业务单位已发展了CGCMs,其中较为成熟和广泛应用并有大量成果公开发表的CGCMs包括中国科学院大气物理研究所、自然资源部第一海洋研究所和中国气象局等所研发的CGCM系统。经过长期不懈的努力,目前这些CGCMs无须进行偏差或通量校正已能成功地应用于气候模拟、预测和预估等,展现了其对气候平均态和多尺度气候变率等方面数值模拟的良好性能。例如,这些CGCMs对ENSO现象的表征能力已有极大的改进和提高,已广泛应用于ENSO模拟和预测应用之中。然而,目前基于CGCMs对ENSO的数值模拟和预测仍存在着较大的不确定性和模式间差异性。本文将评估这些CGCMs对ENSO模拟的现状和未来发展方向,指出CGCMs所存在的问题和需要改进之处。这些分析和评估为未来ENSO数值模拟和预测的改进和发展提供了有价值的科学指导。 展开更多
关键词 厄尔尼诺-南方涛动(enso) 海气相互作用 耦合环流模式(CGCMs) enso模拟性能 模拟偏差和不确定性
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深度学习在ENSO预测中的应用研究
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作者 方巍 付海燕 罗京佳 《大气科学学报》 北大核心 2025年第3期429-437,共9页
厄尔尼诺-南方涛动(El Nino-Southern Oscillation,ENSO)是自然界气候变化中年际变化最显著的异常信号。ENSO会在全球范围内引发天气和气候异常,由此造成的自然灾害给人类生命和财产安全带来了巨大危害。随着人工智能的发展,ENSO预测方... 厄尔尼诺-南方涛动(El Nino-Southern Oscillation,ENSO)是自然界气候变化中年际变化最显著的异常信号。ENSO会在全球范围内引发天气和气候异常,由此造成的自然灾害给人类生命和财产安全带来了巨大危害。随着人工智能的发展,ENSO预测方法已从传统方法拓展到了深度学习技术。因此,对ENSO预测进行了较为全面的论述:概述了ENSO相关知识;回顾了传统的预测方法;介绍了深度学习模型在ENSO预测中的应用,分析了它们的优势、局限性以及改进方向;基于当前方法面临的挑战,对未来ENSO预测的发展趋势进行了展望。 展开更多
关键词 enso预测 人工智能 深度学习 气候变化 气象灾害
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PDO/AMO对ENSO与前后冬东亚冬季风年际关系的年代际调制
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作者 钟诗雅 曾刚 +1 位作者 倪东鸿 施健 《大气科学学报》 北大核心 2025年第4期564-575,共12页
基于NCEP/NCAR全球大气再分析资料和NOAA全球海表温度资料,利用多变量经验正交函数分解、滑动相关和回归分析等方法,探讨了厄尔尼诺/南方涛动(El Nino-Southern Oscillation,ENSO)与前冬(11—12月)和后冬(1—3月)东亚冬季风年际关系的... 基于NCEP/NCAR全球大气再分析资料和NOAA全球海表温度资料,利用多变量经验正交函数分解、滑动相关和回归分析等方法,探讨了厄尔尼诺/南方涛动(El Nino-Southern Oscillation,ENSO)与前冬(11—12月)和后冬(1—3月)东亚冬季风年际关系的年代际变化,并对太平洋年代际涛动(Pacific Decadal Oscillation,PDO)和大西洋多年代际振荡(Atlantic Multidecadal Oscillation,AMO)的年代际调制影响进行了分析。研究结果表明:1)ENSO对前、后冬东亚冬季风均会产生影响,但厄尔尼诺引起的偏南风异常在前冬时期更加深入到东亚北部地区,对东亚冬季风的削弱作用更强,即ENSO对前冬时期东亚冬季风的影响比后冬更加显著。2)ENSO与前、后冬东亚冬季风关系在20世纪80年代初后均发生了年代际减弱。3)由于PDO不同位相阶段正的异常高度场向副热带西太平洋发展及太平洋-北美遥相关(Pacific-North American teleconnection,PNA)模态的建立,所以在前冬与后冬时期PDO负位相时ENSO对东亚冬季风的影响更加显著。4)AMO对ENSO与东亚冬季风关系的影响仅在后冬显著,且影响局限于热带地区;相比于AMO正位相,在AMO负位相时,ENSO对后冬东亚冬季风的影响更加显著。 展开更多
关键词 前冬 后冬 东亚冬季风 enso 年际变化 年代际变化
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南海南部珊瑚骨骼δ^(18)O和Sr/Ca对ENSO的分级响应
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作者 李若安 李旭清 陈天然 《热带海洋学报》 北大核心 2025年第4期45-55,共11页
了解珊瑚地球化学指标对不同强度和类型的厄尔尼诺—南方涛动(El Niño-Southern Oscillation,ENSO)事件的响应差异对重建器测前的ENSO具有重要意义。本研究提取了南海南部1950年以来的海表温度(sea surface temperature,SST)数据... 了解珊瑚地球化学指标对不同强度和类型的厄尔尼诺—南方涛动(El Niño-Southern Oscillation,ENSO)事件的响应差异对重建器测前的ENSO具有重要意义。本研究提取了南海南部1950年以来的海表温度(sea surface temperature,SST)数据以及来自4个地点(自西向东分别为竹岛、永暑岛、海葵园和巴拉望)已发表的珊瑚骨骼δ^(18)O和Sr/Ca序列,采用频域分析和滞后相关性分析等方法,研究了南海南部海温和珊瑚骨骼地球化学指标对不同类型和等级的ENSO事件的响应。结果表明,珊瑚骨骼地球化学指标对east Pacific(EP)-El Niño与central Pacific(CP)-El Niño的分级正确率自东向西呈现上升趋势;而对strong basin wide(SBW)-El Niño的分级正确率则呈现自东向西逐步降低的趋势;类似地,对于CP-La Niña,珊瑚骨骼地球化学指标的分级响应的正确率自东向西逐步提高;而对于EP-La Niña,则完全相反。整体上看,南海南部珊瑚骨骼地球化学指标对EP-El Niño和CP-LaNiña的分级响应能力不及SBW-ElNiño和EP-LaNiña,对强烈ENSO事件的分级响应能力优于极端ENSO事件。 展开更多
关键词 南海南部 enso 珊瑚 Sr/Ca δ^(18)O 分级响应
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基于Transformer构架的海气耦合智能模型对ENSO的预测及订正
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作者 马天翼 智海 +1 位作者 张荣华 周路 《海洋学报》 北大核心 2025年第6期33-46,共14页
厄尔尼诺-南方涛动(El Niño-Southern Oscillation,ENSO)作为气候系统中最强的年际变率信号,可对全球的天气和气候产生重要的影响。在全球变暖下,ENSO的演变愈发呈现出复杂、多样的特征,其模拟与预测已成为气候领域极具挑战性的课... 厄尔尼诺-南方涛动(El Niño-Southern Oscillation,ENSO)作为气候系统中最强的年际变率信号,可对全球的天气和气候产生重要的影响。在全球变暖下,ENSO的演变愈发呈现出复杂、多样的特征,其模拟与预测已成为气候领域极具挑战性的课题。本研究引入基于Transformer架构开发的热带海气系统多变量智能预测模型——3D-Geoformer,开展ENSO预测的误差分析及订正研究。3DGeoformer模型不同于多数智能模型的仅对ENSO相关的单变量场或时间序列进行预测,实现了对热带太平洋海气系统多变量三维场的准确表征和预测,保证了ENSO预测所需物理过程的完整性。同时,本文针对3D-Geoformer模型在ENSO中存在的春季预测技巧低、赤道西太平洋海表温度(SST)预测能力较弱和极端ENSO事件预测强度偏低等问题,提出了基于经验正交分解(EOF)的季节预测误差订正技术,并应用于对3D-Geoformer预测结果的订正检验。在订正关系构建阶段,通过对1983-2009年的多变量预测场和预测误差场进行EOF分析,构建二者主成分序列间的线性关系,并用于后续误差订正。在测试阶段,利用预测场的EOF主成分系数以及与误差场主成分的线性关系,便可算出对应的预测误差场主成分,进而得到预测误差场和校正的预测场。结果显示,使用3D-Geoformer模型对赤道西太平洋海表温度预测时,预测误差在0.15℃以下;赤道中东太平洋SST预测误差缩减46.7%。通过比较EOF订正前后的3D-Geoformer模型对赤道太平洋SST预测结果的异常相关系数(ACC)的差值,结果发现,ACC的差值均有正值区,表明经过EOF订正后的模型预测准确度提高,且优化了3D-Geoformer模型在训练过程中使用第6次耦合模式比较计划(CMIP6)的气候模式数据引起的“冷舌偏差”问题。模型对提前12个月对2015-2016年El Ni?o的预测订正结果显示,赤道西太平洋地区SST误差控制在0.5℃以内,赤道东太平洋SST预测误差减小约75%,误差范围缩至±0.5℃以内。本研究揭示了基于EOF分解的季节预测误差订正方法在改善模式预测中的应用价值,为进一步提高智能模型预测ENSO的精度提供了新方法,也为地球科学领域相关的模拟预测、误差分析研究提供了新思路。 展开更多
关键词 enso预测 EOF统计订正 TRANSFORMER 3D-Geoformer
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ENSO对中国中东部不同季节太阳能资源的可能影响
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作者 袁心仪 耿新 +3 位作者 张敏 王博妮 孙明 夏新露 《气候与环境研究》 北大核心 2025年第4期402-414,共13页
作为最重要的可再生清洁能源之一,太阳能资源受到气候因子的显著影响。本文利用1979~2023年英国Hadley中心逐月海表温度和欧洲中期天气预报中心第5代逐月大气再分析资料,采用相关、回归和合成等方法,研究了ENSO对中国中东部不同季节太... 作为最重要的可再生清洁能源之一,太阳能资源受到气候因子的显著影响。本文利用1979~2023年英国Hadley中心逐月海表温度和欧洲中期天气预报中心第5代逐月大气再分析资料,采用相关、回归和合成等方法,研究了ENSO对中国中东部不同季节太阳总辐射(TotalSolarIrradiation,TSI)的影响特征,并探讨了这种影响的可能物理机制。结果表明,我国中东部TSI存在显著的年际变率,与ENSO事件息息相关。在ElNiño发展期夏秋季,我国中东部TSI异常总体呈“华北多华南少”的南北偶极型分布;成熟期冬季TSI整体偏少,大值区位于华南地区;衰减期春季则呈现“华东少、西南多”的东西偶极型分布;衰减期夏季主要表现为长江中上游地区的显著偏少。当La Niña发生时,各季节TSI异常分布与El Niño年基本相反,但强度较弱,表现出一定的ENSO影响非对称性。进一步研究表明,ENSO对我国中东部不同季节TSI的影响主要与ENSO相关的环流和水汽异常引起的总云量变化对太阳直接辐射的反射作用有关。本研究对于太阳能光伏发电潜能预测以及预期收益评估等问题具有重要意义。 展开更多
关键词 enso 太阳总辐射 总云量 大气环流
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2017~2018年观测的不同ENSO状态下太平洋北赤道逆流源区水文特征与机制
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作者 于晓彤 周慧 +3 位作者 刘雪琪 杨文龙 刘恒昌 刘娟 《海洋与湖沼》 北大核心 2025年第3期516-532,共17页
北赤道逆流(North Equatorial Countercurrent,NECC)作为热带太平洋环流系统的重要组成部分,深刻影响着热带太平洋的海气相互作用及全球气候变化。因此,深入理解NECC的结构及其变异,对于理解厄尔尼诺-南方涛动(El Niño-Southern Os... 北赤道逆流(North Equatorial Countercurrent,NECC)作为热带太平洋环流系统的重要组成部分,深刻影响着热带太平洋的海气相互作用及全球气候变化。因此,深入理解NECC的结构及其变异,对于理解厄尔尼诺-南方涛动(El Niño-Southern Oscillation,ENSO)的演变、提高气候模式的模拟和预测能力具有重要意义。使用赤道西太平洋130°E断面获取的水文观测数据,结合卫星高度计数据和再分析数据,分析了2017/18弱拉尼娜事件和2018/19弱厄尔尼诺事件期间赤道西太平洋源区NECC的温盐流特征及变异机制。研究发现,在2017/18弱拉尼娜事件期间,源区NECC的年际变异与传统认知存在较大差异,表现为输运量显著增加且流轴向南偏移,其机制在于,观测期间哈马黑拉涡(Halmahera Eddy,HE)异常强劲,并且其中心位置向西北偏移,产生很大影响。在此期间,HE以东向和东北向流动主导的北分支与NECC叠加在一起,使得NECC的流量和流轴都表现出与传统认知相反的变化特征。在2018/19弱厄尔尼诺事件期间,源区NECC输运进一步增强,达到(4.0~4.5)×10^(7)m^(3)/s,接近其月平均气候态输运的2倍,此现象与该海域温跃层深度的经向梯度增强及HE增强密切相关。水团分析表明,2次事件中NECC源区水团特征及分布也呈现异常显著的差异,表现为在2018/19弱厄尔尼诺事件期间,南太平洋热带水(South Pacific Tropical Water,SPTW)向北入侵异常强劲,入侵纬度达到6°N附近,且盐度极值可达到35.4;而在2017/18弱拉尼娜事件中,SPTW北向入侵限制在5°N以南,且盐度降低至35.1。上述水团的差异主要受2次事件中海洋环流的影响:由于2018/19观测期间新几内亚沿岸流/潜流和异常强劲的HE共同作用,导致SPTW的跨赤道输运异常强劲。研究结果表明,西太NECC源区海洋环流和水团的年际变异在不同ENSO位相期间存在显著差异,局地涡旋的变异起着非常重要的调制作用;同时,弱ENSO事件期间该海域的变化与常规ENSO事件也存在较大差异。上述结果为深化ENSO多样性对西太平洋环流影响的认知及提升数值模式在该海域的模拟精度提供了宝贵的观测支撑和重要参考。 展开更多
关键词 北赤道逆流 enso 哈马黑拉涡 跨赤道输运
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1980年以来ENSO事件对湟水谷地气候的影响
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作者 张子谦 刘峰贵 +2 位作者 周强 支泽民 王郁晗 《高原科学研究》 2025年第3期59-73,共15页
该研究使用湟水谷地内8个气象站点的日降水量和气温数据,结合ENSO事件的ONI指数,通过时间序列分析、小波分析和谱分析等方法探析1980年至2022年间ENSO事件对湟水谷地降水与气温的影响。结果表明:El Nino和La Nina事件对湟水谷地的气候... 该研究使用湟水谷地内8个气象站点的日降水量和气温数据,结合ENSO事件的ONI指数,通过时间序列分析、小波分析和谱分析等方法探析1980年至2022年间ENSO事件对湟水谷地降水与气温的影响。结果表明:El Nino和La Nina事件对湟水谷地的气候均产生显著影响,其中,El Nino事件通常会导致湟水谷地的降水量减少,特别是在春季和夏季;而La Nina事件则相反。此外,El Nino事件期间该地区的气温普遍低于平均水平,尤其在春季和冬季;在La Nina事件期间,气温则高于平均水平,特别是在夏季和秋季。研究发现,La Nina期间比El Niño期间暖昼日数和极端降水事件的发生频率均较高。 展开更多
关键词 青藏高原 enso 湟水谷地 气候变化 T检验 谱分析
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ENSO准周期运动的初步理论分析 被引量:1
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作者 陈茂强 刘春 +3 位作者 陈泓吾 张凤鸣 赵云龙 宁子硕 《海洋气象学报》 2025年第2期99-117,共19页
以一阶近似地转效应的浅水方程为基础,通过多尺度和摄动近似的方法,分析低纬海气耦合系统的非线性开尔文(Kelvin)波和罗斯贝(Rossby)波的相互作用。研究结果表明:(1)在没有风应力作用时,耦合波振幅较小,Kelvin波和Rossby波的振幅呈准周... 以一阶近似地转效应的浅水方程为基础,通过多尺度和摄动近似的方法,分析低纬海气耦合系统的非线性开尔文(Kelvin)波和罗斯贝(Rossby)波的相互作用。研究结果表明:(1)在没有风应力作用时,耦合波振幅较小,Kelvin波和Rossby波的振幅呈准周期变化,这种准周期变化是两种类型波各自的扭结效应和二者的非线性效应共同作用的结果。(2)在有风应力作用时,Kelvin波呈准周期振荡,Rossby波呈非周期振荡,这种准周期与非周期振荡的叠加效应体现了厄尔尼诺-南方涛动(El Nino-Southern Oscillation,ENSO)周期性不强的准周期振荡特征。(3)在ENSO运动中,Kelvin波和Rossby波一直存在,由于相互的非线性作用,二者在不同阶段体现出不同的状态,总体为:蛰伏(酝酿)→增长→衰减→蛰伏(酝酿)。 展开更多
关键词 KELVIN波 ROSSBY波 准周期运动 物理机制 enso
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ENSO与东亚地区平流层臭氧的联系及其影响机制
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作者 李永炽 徐峰 +1 位作者 陈彦希 徐思艺 《海洋气象学报》 2025年第4期31-44,共14页
东亚是最具发展潜力、合作潜力的地区之一,厄尔尼诺-南方涛动(El Nino-Southern Oscillation,ENSO)作为影响平流层臭氧的年际气候异常信号,研究其对东亚地区平流层臭氧的影响具有科学和社会意义。采用1979-2021年HadISST数据集和ERA5再... 东亚是最具发展潜力、合作潜力的地区之一,厄尔尼诺-南方涛动(El Nino-Southern Oscillation,ENSO)作为影响平流层臭氧的年际气候异常信号,研究其对东亚地区平流层臭氧的影响具有科学和社会意义。采用1979-2021年HadISST数据集和ERA5再分析资料,探讨ENSO与东亚地区平流层臭氧的联系及其影响机制。结果表明:(1)ENSO主要影响东亚地区平流层低层臭氧含量与分布,其与平流层低层25°~30°N、70°~120°E范围的臭氧含量呈显著正相关。(2)ENSO通过产生的Rossby波活动异常影响东亚地区平流层,其导致的Rossby波活动异常以平流层低层影响为主,正相位在低纬度伴随Rossby波上传,并通过由热带中东太平洋至东亚地区的西北向波通量异常影响东亚地区。波活动使得东亚地区的大气进行经向移动和垂直运动,导致此区域臭氧含量与分布异常。(3)研究发现ENSO与东亚地区平流层臭氧的关系在1979—2021年存在年代际变化,其原因是2个时期臭氧和海面温度在空间上的关联形态发生改变。 展开更多
关键词 enso 平流层臭氧 ROSSBY波 东亚
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Impacts of the annual cycle of background SST in the tropical Pacific on the phase and amplitude of ENSO
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作者 Song Jiang Congwen Zhu Ning Jiang 《Atmospheric and Oceanic Science Letters》 2025年第1期12-17,共6页
The dominant annual cycle of sea surface temperature(SST)in the tropical Pacific exhibits an antisymmetric mode,which explains 83.4%total variance,and serves as a background of El Niño-Southern Oscillation(ENSO).... The dominant annual cycle of sea surface temperature(SST)in the tropical Pacific exhibits an antisymmetric mode,which explains 83.4%total variance,and serves as a background of El Niño-Southern Oscillation(ENSO).However,there is no consensus yet on its anomalous impacts on the phase and amplitude of ENSO.Based on data during 1982-2022,results show that anomalies of the antisymmetric mode can affect the evolution of ENSO on the interannual scale via Bjerknes feedback,in which the positive(negative)phase of the antisymmetric mode can strengthen El Niño(La Niña)in boreal winter via an earlier(delayed)seasonal cycle transition and larger(smaller)annual mean.The magnitude of the SST anomalies in the equatorial eastern Pacific can reach more than±0.3◦C,regulated by the changes in the antisymmetric mode based on random sensitivity analysis.Results reveal the spatial pattern of the annual cycle associated with the seasonal phase-locking of ENSO evolution and provide new insight into the impact of the annual cycle of background SST on ENSO,which possibly carries important implications for forecasting ENSO. 展开更多
关键词 Annual cycle SST anomaly Antisymmetric mode enso
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Increase in the variability of terrestrial carbon uptake in response to enhanced future ENSO modulation
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作者 Younong Li Li Dan +2 位作者 Jing Peng Qidong Yang Fuqiang Yang 《Atmospheric and Oceanic Science Letters》 2025年第1期32-38,共7页
El Niño-Southern Oscillation(ENSO)is a major driver of climate change in middle and low latitudes and thus strongly influences the terrestrial carbon cycle through land-air interaction.Both the ENSO modulation an... El Niño-Southern Oscillation(ENSO)is a major driver of climate change in middle and low latitudes and thus strongly influences the terrestrial carbon cycle through land-air interaction.Both the ENSO modulation and carbon flux variability are projected to increase in the future,but their connection still needs further investigation.To investigate the impact of future ENSO modulation on carbon flux variability,this study used 10 CMIP6 earth system models to analyze ENSO modulation and carbon flux variability in middle and low latitudes,and their relationship,under different scenarios simulated by CMIP6 models.The results show a high consistency in the simulations,with both ENSO modulation and carbon flux variability showing an increasing trend in the future.The higher the emissions scenario,especially SSP5-8.5 compared to SSP2-4.5,the greater the increase in variability.Carbon flux variability in the middle and low latitudes under SSP2-4.5 increases by 30.9%compared to historical levels during 1951-2000,while under SSP5-8.5 it increases by 58.2%.Further analysis suggests that ENSO influences mid-and low-latitude carbon flux variability primarily through temperature.This occurrence may potentially be attributed to the increased responsiveness of gross primary productivity towards regional temperature fluctuations,combined with the intensified influence of ENSO on land surface temperatures. 展开更多
关键词 Carbon variability enso modulation CMIP6 models
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2002—2023年长江流域植被和干旱指数的时空变化特征及其对ENSO事件的响应
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作者 向昭 杨子寒 +1 位作者 陈威 张灯灯 《环保科技》 2025年第3期26-33,共8页
在全球气候变化背景下,长江流域作为中国重要的生态和经济区域,研究该区域植被变化对干旱事件的响应机制具有重要的科学意义。2002—2023年归一化植被指数(NDVI)、标准降水蒸散指数(SPEI)和厄尔尼诺/南方涛动(ENSO)数据的结果显示:(1)... 在全球气候变化背景下,长江流域作为中国重要的生态和经济区域,研究该区域植被变化对干旱事件的响应机制具有重要的科学意义。2002—2023年归一化植被指数(NDVI)、标准降水蒸散指数(SPEI)和厄尔尼诺/南方涛动(ENSO)数据的结果显示:(1)长江流域植被在过去21年间整体呈变绿趋势,但局部地区如江汉平原和长江三角洲区域的植被呈现出褐化趋势;(2)长江流域分别在2006年、2011年和2022年发生了3次极端干旱事件,主要集中在夏、秋季;(3)长江流域9个月时间尺度的SPEI与NDVI呈现较高的正相关,2022年极端干旱事件期间的植被出现了明显的褐化;(4)长江流域大部分地区的SPEI指数与ENSO存在约一年的滞后效应,而东部和南部地区存在半年至一年的滞后。 展开更多
关键词 NDVI SPEI enso 长江流域
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多头时空注意力机制在ENSO长期预测中的应用
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作者 邬新娇 廉洁 《上海师范大学学报(自然科学版中英文)》 2025年第2期194-200,共7页
厄尔尼诺-南方涛动(ENSO)是全球热带太平洋地区最显著的气候事件之一,能对全球气候系统产生重要影响,引发干旱、洪水和热浪等极端气候事件.准确预测ENSO的发生对于农业生产、水资源管理、灾害防范和经济规划具有重要意义.然而,ENSO具有... 厄尔尼诺-南方涛动(ENSO)是全球热带太平洋地区最显著的气候事件之一,能对全球气候系统产生重要影响,引发干旱、洪水和热浪等极端气候事件.准确预测ENSO的发生对于农业生产、水资源管理、灾害防范和经济规划具有重要意义.然而,ENSO具有非线性和复杂特性,准确预测其强度、持续时间和发生时机具有较大挑战性.针对这一问题,提出了一种基于线性注意力机制的时空Transformer(Linformer-ST)模型,引入了线性注意力机制,取代传统的Softmax注意力机制,将时空特征的建模复杂度从O(n^(2))降至O(nlog(n)),显著提升了计算效率.在CMIP6数据集上进行了预训练,在SODA数据集上进行了迁移学习,并在GODAS数据集上进行了验证.实验结果表明,该模型在Nino 3.4海表温度异常预测中表现优异,在20个月的预测范围内保持较高的相关性和精度. 展开更多
关键词 厄尔尼诺-南方涛动(enso) Nino 3.4指数 Linformer-ST模型 时空预测
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Endemic threatened tree species in the Mediterranean forests of central Chile are highly sensitive to ENSO-driven water availability and drought
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作者 Tania Gipoulou-Zúniga Moises Rojas-Badilla +1 位作者 Carlos LeQuesne Vicente Rozas 《Forest Ecosystems》 2025年第4期655-667,共13页
The Mediterranean region in central Chile is experiencing a significant decrease in precipitation due to climate change and the dynamics of the El Nino Southern Oscillation(ENSO).Droughts have increased in recent deca... The Mediterranean region in central Chile is experiencing a significant decrease in precipitation due to climate change and the dynamics of the El Nino Southern Oscillation(ENSO).Droughts have increased in recent decades,~with the most severe and longest drought of the last millennium occurring since 2010 in central Chile.The impact of ongoing water scarcity is leading to significant drought-related declines in tree growth and forest dieback in the Mediterranean region.A deep understanding of how tree species respond to climate is crucial to accurately predict how forests will respond to climate change.We examined the growth responses to climate of three endemic and threatened tree species of the Mediterranean forests of central Chile,Nothofagus macrocarpa,Cryptocarya alba and Persea lingue,in a protected area.We observed that the growth of all three species was highly dependent on water availability and ENSO,and that the evergreen species C.alba and P.lingue increased their sensitivity to hydroclimate more than the deciduous species N.macrocarpa.These relationships were consistent across much of southern South America,highlighting the dependence of these species on water availability at large geographic scales.We found that there is a relationship between local water availability and ENSO that has intensified temporally and expanded geographically in recent decades.The xerophyllous species C.alba showed greater resistance and increasing resilience to severe droughts,while P.lingue and N.macrocarpa showed greater growth decline during droughts,possibly due to their preference for wetter environments.Our results highlight the crucial role of ENSO-driven water availability and drought in limiting tree growth and threatening the conservation of Mediterranean forests in central Chile. 展开更多
关键词 Climate change enso LAURACEAE Nothofagaceae South America Tree rings
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ENSO-induced Latitudinal Variation of the Subtropical Jet Modulates Extreme Winter Precipitation over the Western Himalaya
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作者 Priya BHARATI Pranab DEB +2 位作者 Kieran M.R.HUNT Andrew ORR Mihir Kumar DASH 《Advances in Atmospheric Sciences》 2025年第3期427-437,共11页
In this study,we investigate the complex relationship between western disturbances(WDs),the El Ni?o–Southern Oscillation(ENSO),and extreme precipitation events(EPEs) in the western Himalaya(WH) during the extended wi... In this study,we investigate the complex relationship between western disturbances(WDs),the El Ni?o–Southern Oscillation(ENSO),and extreme precipitation events(EPEs) in the western Himalaya(WH) during the extended winter season(November–March).WDs west of WH coincide with 97% of recorded EPEs,contributing substantially(32% in winter,11% annually) to total precipitation within WH.WDs are 6% less frequent and 4% more intense during El Ni?o than La Ni?a to the west of WH.During El Ni?o(compared to La Ni?a) years,WDs co-occurring with EPEs are significantly more intense and associated with 17% higher moisture transport over “WH box”(the selected region where most of the winter precipitation over WH occurs).This results in twice the EPE frequency during El Ni?o periods than La Ni?a periods.A substantial southward shift(~180 km) of the subtropical jet(STJ) axis during El Ni?o brings WD tracks further south towards their primary moisture sources,especially the Arabian Sea.We have shown that WDs that are both more intense and pass to the south of their typical latitudes have higher levels of vertically integrated moisture flux(VIMF)within them.VIMF convergence in the most intense pentile of WDs is 5.7 times higher than in the weakest,and is 3.4 times higher in the second lowest latitude pentile than in the highest.Overall,this study demonstrates a direct link between changes in the latitudinal position and intensity of WDs associated with the winter STJ,and moisture convergence,which leads to the occurrence of EPEs over WH during ENSO phases. 展开更多
关键词 western Himalaya extreme precipitation western disturbances enso moisture flux WINTER
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Simulated Asymmetric Connection of SST in the Tasman Sea with Respect to the Opposite Phases of ENSO in Austral Summer in CMIP6 Models
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作者 Hui CAI Xueqian SUN Shuanglin LI 《Advances in Atmospheric Sciences》 2025年第9期1833-1849,共17页
A prior observational study indicated an asymmetric link between sea surface temperature(SST)in the Tasman Sea and ENSO during austral summer.Specifically,El Niño is associated with a dipolar SST anomaly pattern,... A prior observational study indicated an asymmetric link between sea surface temperature(SST)in the Tasman Sea and ENSO during austral summer.Specifically,El Niño is associated with a dipolar SST anomaly pattern,featuring warming in the northwest and cooling in the southeast,whereas La Niña corresponds to basin-scale warming.This study employs the experiments of coupled models from the sixth phase of the Coupled Model Intercomparison Project(CMIP6)to assess ENSO’s impact on Tasman Sea SST.While all 15 models capture the observed dipolar SST anomalies(SSTAs)in the Tasman Sea during El Niño years,only 7 models capture the basin-scale warmth in the Tasman Sea during La Niña years.Consequently,the models are bifurcated into two groups:group-one models yield one physically reasonable asymmetric connection as observed,including the asymmetry of oceanic heat transport,especially the Ekman meridional transport anomalies induced by zonal wind stress driven by the asymmetric atmospheric circulation over the Tasman Sea.However,due to abnormal responses to ENSO and systematic biases in model simulations,including jet and storm tracks,oceanic heat fluxes,ocean currents,and SST,the group-two models fail to reproduce the asymmetric connection between the Tasman Sea and ENSO.This study not only validates the observational asymmetric connection of SSTAs in the Tasman Sea with respect to the two opposite ENSO phases,but also provides evidence and clues to reduce the bias in group-two models. 展开更多
关键词 asymmetric connection SST Tasman Sea enso CMIP6 Model thermodynamics systematic bias
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Interannual variability of short rains in Tanzania and the influences from ENSO and the Indian Ocean Dipole
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作者 Issa Rwambo Yi Fan +3 位作者 Peilong Yu Changyu Chu Matthews Nyasulu Philemon King'uza 《Atmospheric and Oceanic Science Letters》 2025年第6期43-48,共6页
Tanzania is mainly subject to a bimodal rainfall pattern,characterized by two distinct seasons:the long rains,occurring from March to May,and the short rains,which typically take place from October to December(OND).Sh... Tanzania is mainly subject to a bimodal rainfall pattern,characterized by two distinct seasons:the long rains,occurring from March to May,and the short rains,which typically take place from October to December(OND).Short rains are usually less intense but still significantly influence local agriculture.Therefore,with station-based observations and reanalysis data,the current paper examines the interannual variability of OND precipitation in Tanzania from 1993 to 2022 and explores the possible impacts from El Niño–Southern Oscillation(ENSO)and the Indian Ocean Dipole(IOD)as well as the mechanisms.It is found that the Tanzania OND precipitation is above(below)normal in 1997,2006,2011,and 2019(1993,1998,2005,and 2016).The composite difference between wet(dry)years and the climatology indicates that the anomalous lower-level convergence(divergence)and upward(downward)motion are the critical circulation characters for above(below)precipitation.Further analysis indicates ENSO and the IOD are the two main oceanic systems modulating OND precipitation in Tanzania.El Niño and a positive IOD could induce easterly anomalies and weaken the Walker circulation over the Indian Ocean,consequently leading to lower-level convergence in water vapor flux,upward anomalies,and more than normal precipitation in Tanzania.In contrast,La Niña and a negative IOD produce opposite circulation anomalies and less than normal precipitation over Tanzania.Moreover,through partial correlation and Generalized Equilibrium Feedback Analysis,the individual contributions of ENSO and the IOD to circulation are investigated.It is found that although both the IOD and ENSO impact the Walker circulation,the feedback to the IOD is stronger than ENSO.These results provide critical insights into the oceanic drivers and their mechanistic pathways underlying precipitation anomalies in Tanzania. 展开更多
关键词 enso Indian ocean dipole Tanzania PRECIPITATION Generalized equilibrium feedback assessment
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Regional Perspective of Hadley Circulation and Its Uncertainties among Different Datasets:Biases of ENSO-Related Hadley Circulation in CMIP Models
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作者 Wenzhu WANG Juan FENG +2 位作者 Yadi LI Yujie MIAO Xichen LI 《Advances in Atmospheric Sciences》 2025年第10期2067-2082,共16页
The Hadley Circulation(HC),a fundamental component of global atmospheric circulation,plays an important role in the global energy balance and transport of moisture.The interaction between ENSO and the HC significantly... The Hadley Circulation(HC),a fundamental component of global atmospheric circulation,plays an important role in the global energy balance and transport of moisture.The interaction between ENSO and the HC significantly impacts tropical climate and has broad implications for global climate variability through atmospheric teleconnections.The HC is usually represented by the mass stream function.As a result,it can rarely be observed through in-situ measurement.Reanalysis datasets and CMIP models are frequently used to investigate the properties of the HC.Previous studies systematically assess the capability of these CMIP models to represent the spatial distribution and intensity of the HC anomalies associated with ENSO events.However,most of these studies investigate the HC anomaly from a global perspective.In this work,we focus on evaluating the ability of CMIP6 models to capture the three-dimensional features of ENSO-related HC anomalies in comparison to that in six reanalysis datasets.Results show a consistent westward shift of the ENSO-related HC over the tropical Central-Eastern Pacific in almost all CMIP6 models,accompanied by a weakening of the asymmetric component of the ENSO-related HC over the equatorial Pacific.The former is mainly attributed to the westward extension of the Pacific cold tongue in CMIP models,while the latter is more related to the southward shift of the ENSO-related SST and precipitation anomalies in CMIP models.One should be aware of these biases when studying the ENSO-related atmospheric circulation changes.Our study has broad implications for ENSO simulations and the predictability of ENSO-related global climate variabilities. 展开更多
关键词 regional Hadley circulation enso CMIP6 atmosphere-ocean interaction
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A deep residual intelligent model for ENSO prediction by incorporating coupled model forecast data
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作者 Chunyang Song Xuefeng Zhang +3 位作者 Xingrong Chen Hua Jiang Liang Zhang Yongyong Huang 《Acta Oceanologica Sinica》 2025年第8期133-142,共10页
The El Niño-Southern Oscillation(ENSO)is a naturally recurring interannual climate fluctuation that affects the global climate system.The advent of deep learning-based approaches has led to transformative changes... The El Niño-Southern Oscillation(ENSO)is a naturally recurring interannual climate fluctuation that affects the global climate system.The advent of deep learning-based approaches has led to transformative changes in ENSO forecasts,resulting in significant progress.Most deep learning-based ENSO prediction models which primarily rely solely on reanalysis data may lead to challenges in intensity underestimation in long-term forecasts,reducing the forecasting skills.To this end,we propose a deep residual-coupled model prediction(Res-CMP)model,which integrates historical reanalysis data and coupled model forecast data for multiyear ENSO prediction.The Res-CMP model is designed as a lightweight model that leverages only short-term reanalysis data and nudging assimilation prediction results of the Community Earth System Model(CESM)for effective prediction of the Niño 3.4 index.We also developed a transfer learning strategy for this model to overcome the limitations of inadequate forecast data.After determining the optimal configuration,which included selecting a suitable transfer learning rate during training,along with input variables and CESM forecast lengths,Res-CMP demonstrated a high correlation ability for 19-month lead time predictions(correlation coefficients exceeding 0.5).The Res-CMP model also alleviated the spring predictability barrier(SPB).When validated against actual ENSO events,Res-CMP successfully captured the temporal evolution of the Niño 3.4 index during La Niña events(1998/99 and 2020/21)and El Niño events(2009/10 and 2015/16).Our proposed model has the potential to further enhance ENSO prediction performance by using coupled models to assist deep learning methods. 展开更多
关键词 enso prediction deep learning dynamical coupled model data incorporating
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