影响我国北方的台风相似预报系统

普查建国以来影响我国北方的所有台风个例 ,建立了影响我国北方的台风详细历史资料库 ,对台风位置、形成季节、移向、天气形势等进行相似分析 ,并在MICAPS平台上 ,建立了短期和中期台风相似预报系统。     

基于位置误差的分布制作热带气旋路径袭击概率预报

为了探讨热带气旋路径预报的不确定性,利用2004-2007年4年中央气象台综合预报的误差分布状况,建立热带气旋路径综合预报的统计集合模型,制作热带气旋路径的袭击概率预报及产品,并为警报发布工作中有关登陆地段的预报提供有意义的参考.     

Evaluation of classifiers for processing Hyperion (EO-1) data of tropical vegetation

There is an urgent necessity to monitor changes in the natural surface features of earth. Compared to broadband multispectral data, hyperspectral data provides a better option with high spectral resolution. Classification of vegetation with the use of hyperspectral remote sensing generates a classical problem of high dimensional inputs. Complexity gets compounded as we move from airborne hyperspectral to Spaceborne technology. It is unclear how different classification algorithms will perform on a complex scene of tropical forests collected by spaceborne hyperspectral sensor. The present study was carried out to evaluate the performance of three different classifiers (Artificial Neural Network, Spectral Angle Mapper, Support Vector Machine) over highly diverse tropical forest vegetation utilizing hyperspectral (EO-1) data. Appropriate band selection was done by Stepwise Discriminant Analysis. The Stepwise Discriminant Analysis resulted in identifying 22 best bands to discriminate the eight identified tropical vegetation classes. Maximum numbers of bands came from SWIR region. ANN classifier gave highest OAA values of 81% with the help of 22 selected bands from SDA. The image classified with the help SVM showed OAA of 71%, whereas the SAM showed the lowest OAA of 66%. All the three classifiers were also tested to check their efficiency in classifying spectra coming from 165 processed bands. SVM showed highest OAA of 80%. Classified subset images coming from ANN (from 22 bands) and SVM (from 165 bands) are quite similar in showing the distribution of eight vegetation classes. Both the images appeared close to the actual distribution of vegetation seen in the study area. OAA levels obtained in this study by ANN and SVM classifiers identify the suitability of these classifiers for tropical vegetation discrimination.     

The Dynamical Influence of Land－Sea Contrast and Sea Surface Temperature on Intraseasonal Oscillation in Tropical Atmosphere

An equatorial β-plane model which includes realistic non-uniform land-sea contrast and the underlying surface temperature distribution is used to simulate the 30-60 day oscillation (LFO) processes in tropical atmosphere, with emphasis on its longitude-dependent evolution and convective seesaw between Indian and the western Pacific oceans.The model simulated the twice-amplification of the disturbances over Indian and the western Pacific oceans while they are travelling eastward. It reproduced the dipole structure caused by the out-of-phase oscillation of the active centres in these two areas and the periodical transition between the phases of LFO. It is suggested that the convective seesaw is the result of interaction of the internal dynamics of tropical atmosphere with the zonally non-uniform thermal forcing from underlying surface. The convective activities are suppressed over Indonesia mari-time continents whilst they are favoured over the Indian Ocean and western Pacific warm waters, so there formed two active oscillation centres. The feedback of convection with large-scale flow slows down the propagation of disturb-ances when they are intensifying over these two areas, therefore they manifest a kind of quasi-stationary component to favor the ‘dipole’ structure. Whereas the disturbances weaken and speed up over the eastern Pacific cold water re-gion due to the interaction of sensible heating and evaporation with perturbational wind. Therefore the two major centers just show out-of-phase oscillation during onecycle around the latitudinal beltBy introducing the SST anomalies in El Ni?o and La Ni?a years into the surface temperature, we also show that they have significant influence on LFO processes. In an anomalously warm year, the LFO disturbances dissipate more slowly over the central-eastern Pacific region and can travel farther eastward; whilst in an anomalously cold year, the opposite is true.     

Global change and the intensification of agriculture in the tropics

Bridging understanding of local environmental change with regional and global patterns of land-use and land-cover change (LUCC) remains a key goal and challenge for our understanding of global environmental change. This meta-analysis attempts to bridge local and regional scales of LUCC by demonstrating the ways in which previously published case studies can be compared and used for a broader regional synthesis in the tropics. In addition to providing results from a meta-analysis, this paper suggests ways to make future case studies more widely comparable.     

2007年西北太平洋热带气旋活动综述

利用热带气旋年鉴、海温和大气环流再分析资料,分析2007年西北太平洋(包括南海)的风暴级以上热带气旋(简称TC)活动状况及海-气条件.结果表明,相对于气候平均值,2007年西北太平洋TC活动的季节峰期推后了约2个月,源地明显偏北,生成点纬度发生了2次明显跃变,年度TC的总体活动较弱,但个体的强度较强,路径以西北行为主,登陆比例偏大.影响上述TC活动特征的一个重要原因是年内ENSO循环的位相使得上半年的大气环流不利因素居多,而下半年大尺度上升运动、热带辐合带均较强,副高偏北、局地垂直风切变较小和对流层低层较强的扰动活动等条件,也十分有利热带气旋活动.     

SIMULATION OF TROPICAL CYCLONES OVER THE WESTERN NORTH PACIFIC AND LANDFALLING IN CHINA BY REGCM4

This study evaluates the performance of the regional climate model RegCM4 in simulating tropical cyclone (TC) activities over the Western North Pacific (WNP) and their landfalling in China. The model is driven by ERA-Interim boundary conditions at a grid spacing of 25 km, with the simulation period as 1991–2010. Results show that RegCM4 performs well in capturing the main structural features of observed TCs, and in simulating the genesis number and annual cycle of the genesis. The model reproduces the general pattern of the observed TC tracks and occurrence frequency. However, significant underestimation of the occurrence frequency as well as the TC intensity is found. Number of the landfalling TCs over China is also much less than the observed. Bias of the model in reproducing the large-scale circulation pattern and steering flow may contribute to the underestimated landfalling TC numbers.     

孟加拉湾季风对热带气旋生成和发展的调制机制研究

孟加拉湾与其他热带海盆不同,在季风影响下,该地区热带气旋具有双气旋季的独特结构(4—5月的春季转换期和10—11月的秋季转换期)。虽然孟加拉湾气旋频数在10—11月较多,但是4—5月超强气旋(Saffir-Simpson 4,5级)的生成率却远高于10—11月。1981—2016年,春季转换期内孟加拉湾超强气旋都与第一支北传季节内振荡(First Northward-propagating Intra-Seasonal Oscillation,FNISO)相应而生,然而并不是所有伴随FNISO发生的气旋都能发展成为超强气旋。因此本研究以气旋生成指数为基础,利用气旋最佳轨道数据以及NCEP的海气参量数据,诊断指出孟加拉湾夏季风形成的强垂直风速剪切配合低层大气旋度和气旋潜在强度抵消夏季风期间水汽对气旋生成的促进作用,造成双峰分布,而中层大气相对湿度差异双峰不对称的主因。FNISO强度的不同与深对流中心与气旋中心的相对位置的差异,使得部分气旋受季节内振荡影响更大,强深对流的超越作用导致更显著的高低层大气温差,促使气旋具有且达到更大的潜在强度。在年际尺度上大气高低层温差的不同也是引起气旋潜在强度不同的主要原因。当季节内尺度和年际尺度共同作用,使得部分气旋发展成为超强气旋。     

夏季热带北大西洋海温异常对西北太平洋热带气旋生成的影响

利用1979—2012年西北太平洋热带气旋最佳路径资料,Hadley中心的海温资料和NCEP/NCAR再分析资料等,研究了夏季(6—10月)热带北大西洋海温异常与西北太平洋热带气旋(Tropical Cyclone,TC)生成的关系及其可能机制。结果表明,夏季热带北大西洋海温异常与同期西北太平洋TC生成频次之间存在显著的负相关关系。热带北大西洋海温的异常增暖可产生一对东—西向分布的偶极型低层异常环流,其中气旋性异常环流位于北大西洋/东太平洋地区,反气旋异常环流位于西北太平洋地区。该反气旋环流异常使得TC主要生成区的对流活动受到抑制、低层涡度正异常、中低层相对湿度负异常、中层下沉气流异常,这些动力/热力条件均不利于TC生成。此外,西北太平洋地区低层涡旋动能负异常,同时来自大尺度环流的涡旋动能的正压转换也受到抑制,不能为TC的生成和发展提供额外能量源。反之亦然。     

卑尔根气候模式中亚洲——太平洋涛动和影响西北太平洋热带气旋频数的环流背景的关系

利用挪威卑尔根的全球大气-海洋-海冰耦合模式的300年气候态数值积分结果,结合观测资料,分析了夏季亚洲-太平洋涛动(APO)的年际变化对与西北太平洋热带气旋生成频数相关联的大尺度环流背景的影响。模式结果表明,当夏季APO异常偏强(弱)时,西太平洋副热带高压位置偏东(西)偏北(南),南亚高压位置偏北(南),西北太平洋低层大气异常辐合(辐散),高层大气异常辐散(辐合),对流活动加强(减弱)。这种环流背景条件有(不)利于西北太平洋热带气旋的发生发展,西北太平洋热带气旋频数因而偏多(少)。