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1.
CAM3模式海气湍流通量参数化的改进及其应用 总被引：1，自引：0，他引：1
通过对流性阵风参数化方法,在CAM3原有海气湍流通量参数化方案(CAM3方案)中引入边界层自由对流和降水深对流对海表湍流通量的贡献,改进了CAM3模式的海气湍流通量参数化方案(CAM3 ME方案).在此基础上,利用观测海温积分改进的CAM3模式,分析改进模式对冬(DJF)、夏季(JJA)大气环流异常的模拟性能.结果表明,采用改进的海气湍流通量参数化方案,模式对冬(DJF)、夏季(JJA)大气环流异常年际变化的模拟能力有了很大提高,尤其是冬季(DJF)北太平洋和北美大陆地区以及夏季(JJA)南半球海洋上空. 相似文献
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利用2015年11月—2016年1月船载GPS探空数据和欧洲中心ERA-Interim再分析资料,对西太平洋中南部海域悬空波导现象进行了统计分析。探空资料分析表明：该区域出现悬空波导的发生概率为47%,平均高度为1 393 m,平均厚度为205 m,平均强度为11.7 M-unit,平均截止波长为2.7 m。悬空波导发生时,天气晴朗,云量较少,以积云为主。进一步分析发现5～30°N范围内悬空波导发生概率高达77%,在800 hPa左右高度存在强悬空波导现象。ERA-Interim再分析资料表明强悬空波导出现在巨大反气旋运动区,副热带高压内部缓慢下沉引起的干燥大气与海洋边界层内湿润的、上升运动大气相遇,在800 hPa附近形成较强的相对湿度梯度和逆温,导致强悬空波导的发生。 相似文献
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文章对近50a（1961—2010年）内蒙古呼伦贝尔地区的年、汛期和冬春季降水量和降水距平百分率（R%）作了统计,发现年R%和冬春季R%呈上升趋势,汛期R%略呈下降趋势;通过对年R%与大气环流指数、海温的相关分析发现：前期副热带高压（副高）、北半球极涡、大西洋欧洲环流C型、西藏高原位势高度和印缅槽（南支槽）强度指数等均与年R%密切相关,当北半球极涡收缩、强度减弱,副高扩张、强度加强,西藏高原位势高度偏高,南支槽减弱时,有利于来年呼伦贝尔地区降水,否则,相反。此外,前一年夏季北印度洋海域和赤道东太平洋海域海温对呼伦贝尔地区来年降水有显著影响,这两块海区的海温和上述环流指数可考虑作为呼伦贝尔地区年降水的预测信号使用。 相似文献
4.
热带印度洋与全球大气相互作用的信息传输特征分析 总被引：2，自引：0，他引：2
基于气象场信息源汇概念和定义方法, 使用海表温度(SST)和位势高度场(GH)资料计算热带印度洋和全球大气相互作用过程中的信息传递, 给出了热带印度洋(20°S～20°N, 50°E～100°E)与热带地区、北半球和南半球大气之间的信息传递的区域分布特征, 并分析热带印度洋与大气相互作用中信息传递特征的季节差异和年代际变化。研究结果表明, 热带印度洋信息源主要分布在(10°S～10°N, 60°E～90°E)的区域内, 北半球和南半球大气信息汇均呈现显著的带状分布, 且主要分布在中纬度地区, 而热带地区的大气信息汇则主要分布于热带中东太平洋上空。热带印度洋对处在冬半年的半球的影响更强, 不同季节下热带印度洋与大气相互作用中的信息源汇证实了这一可能性。同时, 热带印度洋与大气之间的信息传递特征在20世纪70年代末期的年代际气候转型前后南北半球的变化不太一致:北半球大气对热带印度洋的响应存在不同程度的减弱, 南半球则存在不同程度的增强。 相似文献
5.
20世纪两次全球增暖事件的比较 总被引：12，自引：1，他引：11
20世纪20年代和70年代全球出现了两次突变增暖,本文分析比较了这两次全球增暖的起源地,空间分布特点,影响范围,以及北半球增温和降温最大地区的气温变化与其相对应的大气环流变化的联系等.发现,第一次全球增暖始于北半球新地岛西北、冰岛及以北的极地地区,主要增暖区在北大西洋、格陵兰岛、冰岛和北半球中、高纬大陆地区,主要增暖季节是夏季.第二次全球增暖最早可能始于南半球南印度洋海盆及南极大陆地区,增暖中心有明显向北半球方向移动的倾向并广泛影响到全球热带、副热带海洋,没有明显的区域和季节增暖差异;北半球第二次增暖比南半球约晚10年,主要增温区在东亚大陆和北美西部,主要增暖季节在冬季.分析还发现,20世纪北半球增暖最强的东亚大陆、北美西北部和降温显著的冰岛、格陵兰岛、北大西洋以及中北太平洋等地的气温变化与其相应的大气环流系统的异常变化关系密切. 相似文献
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南北半球大气环流与气候的相互作用 总被引：10，自引：2，他引：10
本文研究了冬半球大气环流对夏半球热带气旋及降水的影响。发现近百年北大西洋、北太平洋、北印度洋热带气旋数的变化分别与南大西洋高压、澳洲高压以及南印度洋高压的强弱有明显的关系。南半球澳洲附近、南太平洋、南印度洋的热带气旋数的变化与北半球亚洲大陆的冷空气活动有密切的联系。 冬半球的环流对夏半球降水的影响也很显著。我国旱涝与澳洲高压强度相关密切,而南半球印尼及澳洲附近的降水则与北半球西伯利亚高压的强度和位置的变化有较密切的联系。 在两个半球的相互作用中,冬半球经常处于主动的地位,而夏半球的气候则深受其影响。并且在东亚到澳洲一带这种两个半球间的作用最为活跃。 相似文献
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本文利用1951—1980年逐季的平均值资料(共120个季)讨论了北方涛动和与其相联系的北太平洋海温与北半球海平面气压场、500hPa位势高度场遥相关的基本结构,并与南方涛动和赤道东太平洋海温的结果进行了对比分析.发现北太平洋Namias海区和加利福尼亚海流区海温的变化与北方涛动具有很密切的联系;北方涛动和这两个海区的海温同北半球中高纬度大气环流特别是PNA型和NAO型环流异常存在明显的遥相关关系;南方涛动和赤道太平洋海温同WP型或NPO型环流异常关系比较密切,而与PNA型和NAO型的关系不如北方涛动和Namias海区及加利福尼亚海流区海温的显著. 相似文献
8.
0920号超强台风“卢碧”引起的强海上大气波导成因分析与数值模拟研究 总被引：2，自引：1，他引：1
基于中国台湾地区主持的侵台台风之飞机侦察及下投式探空仪观测实验（Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region,DOTSTAR）获得的高分辨率下投式探空仪探测资料,分析了2003年9月—2012年8月所有发生在中国台湾地区附近海域的台风型大气波导事件,遴选出一次由0920号超强台风“卢碧”引起的强台风型海上大气波导过程作为研究对象。利用欧洲中期数值预报中心（ECMWF）再分析资料（水平分辨率0.125°×0.125°）,对此次波导的生成原因进行了分析;基于WRF模式比较了不同初始化方法对台风强度、尺度和周围台风型大气波导的模拟能力。结果表明,此次强台风型大气波导发生在台风环流西北侧外围的弱下沉运动区,其形成与850 hPa高度附近北方强干空气平流导致湿度随高度锐减密切相关。在数值模拟中运用台风动力初始化方法,可以有效改进台风强度、路径和尺度的模拟效果,进而有利于改善台风型大气波导尤其是波导层所在高度的模拟效果。台风外围出现的大气波导通常以悬空波导为主,模拟效果与台风螺旋雨带和内核尺度的模拟关系密切,而与台风强度和眼墙结构关系不大。中尺度数值模式WRF具有模拟台风型大气波导的能力,是研究台风型大气波导的有力手段。 相似文献
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春季南半球环状模与长江流域夏季降水的关系：Ⅱ 印度洋和南海海温的“海洋桥”作用 总被引：6，自引：3，他引：3
用回归、合成、相关、ESVD等方法分析了春夏季印度洋、南海海温异常在春季南半球环状模(SAM)与夏季长江中下游降水关系中的作用.研究发现春季南半球环状模指数(SAMI)正(负)异常时,同期南印度洋中高纬、北印度洋海域海温出现了明显正(负)异常,这种海温的正(负)异常在夏季依然存在,并且北印度洋的海温异常得到加强.对印度洋和南海海域详细划分区域后的进一步分析表明春季南半球热带外大气环流(SAM)异常可以强迫南印度洋中高纬海域海温发生明显异常.这种异常可以持续到夏季,而且表现出传播特性,即南印度洋中高纬海温异常可以传播到北印度洋(包括阿拉伯海和孟加拉湾)和南海海域,加强这些海域的海温异常.对东亚夏季风与夏季海温关系的分析表明东亚夏季风异常对应的夏季北印度洋、南海海温异常与春季SAM异常对应的夏季北印度洋、南海海温异常的形势相似,符号相反.说明印度洋、南海海温是春季SAM影响夏季长江中下游降水的一个"桥梁".基本思路为强(弱)春季SAM可以引起南印度洋中高纬海域海温的偏高(偏低);南印度洋中高纬海域偏高(偏低)的海温从春季持续到夏季并且传播到阿拉伯海、孟加拉湾、南海海域;这些海区偏高(偏低)的海温可以导致东亚夏季风减弱(加强),而东亚夏季风减弱(加强)是长江中下游降水偏多(偏少)的一种有利条件. 相似文献
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全球气候变暖中南北半球海冰变化的差异 总被引：4，自引：0，他引：4
应用海冰面积资料,分析在全球气候变暖下,南北半球海冰季节和年际变化的差异,结果表明:冬季南半球海冰面积为北半球的1.13倍,而夏季仅为北半球的2/5,南半球海冰的季节变化比北半球更为显著,其季节振幅为北半球的1.6倍.1979--2006年,北半球海冰总面积呈显著减少趋势,夏秋季最快,特别在1990年代中后期以来,减少尤为迅速;夏秋季,整个区域海冰为均一的减少趋势,北冰洋靠近北太平洋的近海变化最为迅速,冬春季,主要发生在北太平洋海域.南半球海冰自1980年代初以来有所增多,四季整个区域海冰并未呈均一的减少趋势,而是有一显著减少中心,位于南极半岛附近,两个增多中心,分别位于罗斯海外围和西南印度洋一带.随夏一秋一冬一春的季节转换,3个中心区域位置存在东移和返回的过程. 相似文献
11.
The simulation and prediction of extreme heat over Australia on intraseasonal timescales in association with the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) is assessed using the Bureau of Meteorology’s Predictive Ocean Atmosphere Model for Australia (POAMA). The analysis is based on hindcasts over 1981–2010 and focuses on weeks 2 and 3 of the forecasts, i.e. beyond a typical weather forecast. POAMA simulates the observed increased probabilities of extreme heat during El Niño events, focussed over south eastern and southern Australia in SON and over northern Australia in DJF, and the decreased probabilities of extreme heat during La Niña events, although the magnitude of these relationships is smaller than observed. POAMA also captures the signal of increased probabilities of extreme heat during positive phases of the IOD across southern Australia in SON and over Western Australia in JJA, but again underestimates the strength of the relationship. Shortcomings in the simulation of extreme heat in association with ENSO and the IOD over southern Australia may be linked to deficiencies in the teleconnection with Indian Ocean SSTs. Forecast skill for intraseasonal episodes of extreme heat is assessed using the Symmetric Extremal Dependence Index. Skill is highest over northern Australia in MAM and JJA and over south-eastern and eastern Australia in JJA and SON, whereas skill is generally poor over south-west Western Australia. Results show there are windows of forecast opportunity related to the state of ENSO and the IOD, where the skill in predicting extreme temperatures over certain regions is increased. 相似文献
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运用一种基于神经网络的非线性主成分分析法（nonlinear principal component analysis,NLP-CA）对中国1951—2003年53 a四季气温距平场（surface air temperature anomaly,SATA）进行分析,NLPCA第一模态结果显示中国四季气温异常具有一定的非线性特征,并且具有显著的季节性差异,即春、夏两季的非线性较强,秋、冬两季较弱。一维NLPCA对原始气温距平场的近似比一维PCA（principal component analysis）更好地反映了气温场的实际分布情况。 相似文献
14.
Anushiya Jeganathan Ramachandran Andimuthu 《Theoretical and Applied Climatology》2013,114(3-4):705-714
This paper describes the projection of climate change scenarios under increased greenhouse gas emissions, using the results of atmospheric-ocean general circulation models in the Coupled Model Intercomparison Project phase 3 dataset. A score is given to every model based on global and regional performance. Four out of 20 general circulation models (GCMs) were selected based on skill in predicting observed annual temperature and precipitation conditions. The ensemble of these four models shows superiority over the individual model scores. These models were subjected to increases in future anthropogenic radiative forcings for constructing climate change scenarios. Future climate scenarios for Tamil Nadu were developed with MAGICC/SCENGEN software. Model results show both temperature and precipitation increases under increased greenhouse gas scenarios. Northeast and northwest parts of Tamil Nadu show a greater increase in temperature and precipitation. Seasonally, the maximum rise in temperature occurred during the MAM season, followed by DJF, JJA, and SON. Decreasing trends of precipitation were observed during DJF and MAM. 相似文献
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Yongjing MA Jinyuan XIN Yining MA Lingbin KONG Kequan ZHANG Wenyu ZHANG Yuesi WANG Xiuqin WANG Yongfeng ZHU 《大气科学进展》2017,34(8):1017-1026
Aerosol observational data for 2012 obtained from Dunhuang Station of CARE-China(Campaign on Atmospheric Aerosol Research Network of China) were analyzed to achieve in-depth knowledge of aerosol optical properties over Dunhuang region. The results showed that the annual average aerosol optical depth(AOD) at 500 nm was 0.32 ± 0.06, and the ?ngstr?m exponent(α) was 0.73 ± 0.27. Aerosol optical properties revealed significant seasonal characteristics. Frequent sandstorms in MAM(March–April–May) resulted in the seasonal maximum AOD, 0.41 ± 0.04, and a relatively smaller αvalue, 0.44 ± 0.04. The tourism seasons, JJA(June–July–August) and SON(September–October–November) coincide with serious emissions of small anthropogenic aerosols. While in DJF(December–January–February), the composition of the atmosphere was a mixture of dust particles and polluted aerosols released by domestic heating; the average AOD and αwere 0.29 ± 0.02 and 0.66 ± 0.17, respectively. Different air masses exhibited different degrees of influence on the aerosol concentration over Dunhuang in different seasons. During MAM, ranges of AOD(0.11–1.18) and α(0.06–0.82) were the largest under the dust influence of northwest-short-distance air mass in the four trajectories. Urban aerosols transported by northwest-short-distance air mass accounted for a very large proportion in JJA and the mixed aerosols observed in SON were mainly conveyed by air masses from the west. In DJF, the similar ranges of AOD and α under the three air mass demonstrated the analogous diffusion effects on regional pollutants over Dunhuang. 相似文献
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G. P . Williams 《大气与海洋》2013,51(1):23-24
Abstract A detailed examination has been made of the relationship between the space and time variations of the Indian summer monsoon rainfall and the equatorial eastern‐Pacific sea surface temperature (SST) anomaly in different seasons for the 108‐year period, 1871–1978. There is a strong inverse relationship between the two. The correlation coefficients between All‐India monsoon rainfall and the sea surface temperature anomaly for the concurrent season; June, July and August (JJA) and for the succeeding seasons; September, October and November (SON) and December, January and February (DJF) are consistently and highly significant. Even a random sample of 50 years gave values significant at the 0.1 percent level. The sliding window correlation analysis of 10‐, 20‐ and 30‐year widths indicates that the relationships between All‐India monsoon rainfall and the sea surface temperature anomaly for the concurrent JJA and the succeeding SON and DJF seasons exhibit stability and consistency in significance. For contiguous meteorological sub‐divisions west of longitude 80°E the relationship is highly significant for JJA and for succeeding SON and DJF seasons. 相似文献
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本文探究了不同海表温度（SST）模态对6—8月和12月—次年2月全球陆地降水的趋势以及年代际变化的相对贡献。首先对热带地区陆地降水和SST进行SVD分析,得到影响陆地降水的趋势和年代际变化主要的海洋模态为：海洋中的全球变暖（Global Warming,GW）、大西洋多年代际振荡（Atlantic Multidecadal Oscillation,AMO）和太平洋多年代际振荡（Interdecadal Pacific Oscillation,IPO）。其次利用多元线性回归模型进一步定量评估了全球变暖、AMO和IPO对不同地区陆地降水的相对贡献大小。结果表明,全球变暖对陆地降水变化的贡献在冬夏季都是最大的,AMO在6—8月的贡献次之。IPO在12月—次年2月的贡献次之。不同纬度带,三者的贡献不同。GW的贡献在6—8月期间对10°N以北地区较大,南半球受GW的贡献相对较小,GW在12月—次年2月对40°N以北降水贡献异常显著;AMO主要在6—8月对10°～40°S和50°～60°S纬度带上的降水变化的贡献比较大;而IPO主要在12月—次年2月对北半球中纬度降水变化的贡献比较大。GW对许多地区降水变化的方差贡献都是最大的,例如6—8月期间,对北美洲东北部和亚洲降水变化贡献最大,12月—次年2月期间,对欧洲降水变化贡献最大。AMO对6—8月降水变化的方差贡献最大的区域为非洲萨赫勒、西伯利亚和南美洲。12月—次年2月期间,IPO对美国西南部的降水变化贡献最大,此外,北美洲东北部、南美洲西北部、非洲南部、澳大利亚东部、南亚季风区和我国北部的降水在12月—次年2月期间同样受IPO影响显著。进一步利用信息流的方法,探究了GW、AMO和IPO与陆地降水变化之间的因果关系,验证了上述结论。 相似文献
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Climate impacts of recent multidecadal changes in Atlantic Ocean Sea Surface Temperature: a multimodel comparison 总被引：4，自引：4，他引：0
Daniel L. R. Hodson Rowan T. Sutton Christophe Cassou Noel Keenlyside Yuko Okumura Tianjun Zhou 《Climate Dynamics》2010,34(7-8):1041-1058
During the twentieth century sea surface temperatures in the Atlantic Ocean exhibited prominent multidecadal variations. The source of such variations has yet to be rigorously established—but the question of their impact on climate can be investigated. Here we report on a set of multimodel experiments to examine the impact of patterns of warming in the North Atlantic, and cooling in the South Atlantic, derived from observations, that is characteristic of the positive phase of the Atlantic Multidecadal Oscillation (AMO). The experiments were carried out with six atmospheric General Circulation Models (including two versions of one model), and a major goal was to assess the extent to which key climate impacts are consistent between the different models. The major climate impacts are found over North and South America, with the strongest impacts over land found over the United States and northern parts of South America. These responses appear to be driven by a combination of an off-equatorial Gill response to diabatic heating over the Caribbean due to increased rainfall within the region and a Northward shift in the Inter Tropical Convergence Zone (ITCZ) due to the anomalous cross-equatorial SST gradient. The majority of the models show warmer US land temperatures and reduced Mean Sea Level Pressure during summer (JJA) in response to a warmer North Atlantic and a cooler South Atlantic, in line with observations. However the majority of models show no significant impact on US rainfall during summer. Over northern South America, all models show reduced rainfall in southern hemisphere winter (JJA), whilst in Summer (DJF) there is a generally an increase in rainfall. However, there is a large spread amongst the models in the magnitude of the rainfall anomalies over land. Away from the Americas, there are no consistent significant modelled responses. In particular there are no significant changes in the North Atlantic Oscillation (NAO) over the North Atlantic and Europe in Winter (DJF). Additionally, the observed Sahel drying signal in African rainfall is not seen in the modelled responses. Suggesting that, in contrast to some studies, the Atlantic Multidecadal Oscillation was not the primary driver of recent reductions in Sahel rainfall. 相似文献
20.
Noah S. Diffenbaugh 《Climate Dynamics》2005,24(2-3):237-251
In order to test the sensitivity of regional climate to regional-scale atmosphere-land cover feedbacks, we have employed a regional climate model asynchronously coupled to an equilibrium vegetation model, focusing on the western United States as a case study. CO2-induced atmosphere-land cover feedbacks resulted in statistically significant seasonal temperature changes of up to 3.5°C, with land cover change accounting for up to 60% of the total seasonal response to elevated atmospheric CO2 levels. In many areas, such as the Great Basin, albedo acted as the primary control on changes in surface temperature. Along the central coast of California, soil moisture effects magnified the temperature response in JJA and SON, with negative surface soil moisture anomalies accompanied by negative evaporation anomalies, decreasing latent heat flux and further increasing surface temperature. Additionally, negative temperature anomalies were calculated at high elevation in California and Oregon in DJF, MAM and SON, indicating that future warming of these sensitive areas could be mitigated by changes in vegetation distribution and an associated muting of winter snow-temperature feedbacks. Precipitation anomalies were almost universally not statistically significant, and very little change in mean seasonal atmospheric circulation occurred in response to atmosphere-land cover feedbacks. Further, the mean regional temperature sensitivity to regional-scale land cover feedbacks did not exceed the large-scale sensitivity calculated elsewhere, indicating that spatial heterogeneity does not introduce non-linearities in the response of regional climate to CO2-induced atmosphere-land cover feedbacks. 相似文献