利用Argo资料研究2001-2004年期间西北太平洋海洋上层对热带气旋的响应

利用Argo剖面浮标观测资料,对2001-2004年11月期间西北太平洋热带气旋经过后海洋上层的响应作了分析研究.结果显示,热带气旋经过后,55.6%的观测剖面其混合层深度会加深,范围在0-60m,并且在气旋过后5d内更为明显;由于混合加剧,大约有77.8%的观测剖面其混合层温度会下降,最多达5℃;61.1%的混合层盐度会下降,平均降盐约0.12;表层流速增大的占54%,平均增大30cm·s,表层流速的变化与风速的大小呈正相关,相关系数仅为0.06;混合层内温度变化与热带气旋风速呈负相关,相关系数为-0.15;混合层温度下降有明显的右偏现象,在气旋路径右侧50-150km处,温度下降尤为明显,而混合层盐度在气旋路径两侧的变化基本呈对称状分布;混合层深度在气旋路径右侧加深更为明显,在右侧100 150km范围内达到最大;混合层深度的变化与气旋经过前混合层的初始深度呈明显的负相关,相关系数达-0.42.     

国家气候中心全球海洋资料四维同化系统在热带太平洋的结果初步分析

介绍了国家气候中心(NCC)“全球海洋资料四维同化系统”(简称NCC-GODAS).该系统包含观测资料预处理系统、插值分析系统和所应用的动力模式.插值分析系统采用四维同化技术方案,在时间上设置一个4周的窗口,将此窗口之内的观测资料以一定的权重插入插值分析系统,在空间上采用三维变分方案.海洋动力模式为“九五”期间LASG研制的L30T63OGCM 1 0版本.文中考察了该系统从1982年到2003年3月在热带太平洋的部分同化分析结果,并与NCEP的再分析资料和EMC/NCEP的太平洋区域海洋资料同化系统的结果进行了对比分析.结果显示,该系统的同化结果(如SST,SSTA,Nino指数,次表层海温变化等)与NCEP的同期同化结果具有很好的一致性.同时,该系统得出的海洋同化资料气候场与海洋模式气候场相比,有显著的改进.表明该系统具有较好的同化能力,其同化结果可为海-气耦合模式进行季节和跨季节的气候预测业务提供可信的海洋初始场资料,同时还可以为相关研究提供海洋分析场.     

热带太平洋-南海-印度洋海面风与海面温度年际变化整体耦合的主模态

利用COADS资料和相关分析、经验正交函数分解、奇异值分解和小波分析等方法对热带太平洋-南海-印度洋的海表面温度(SST)及海面风场(SSW)进行了研究,确定了热带太平洋、南海以及印度洋作为1个整体时海面风场及海面温度场相互作用的主模态。在把热带太平洋、南海和印度洋作为整体的情况下,研究了该模态的时空分布特征。各种方法研究均表明,该模态在热带太平洋上为ENSO模态;在热带印度洋上为对应于ENSO态的印度洋“单极型”模态;在南海则表现为整个海盆尺度上的一致型。     

简单海气耦合模式对热带太平洋对流运动的数值试验

通过海气交界面附近进行的热力和动力过程,海洋向大气输送热量和水汽,大气向海洋输送动量,驱动海洋.大气中的垂直湍流热量和水汽输送过程又把主要是来自海气界处的热量和水汽输送向大气的高层.     

高分辨率浪-潮-流耦合数值预报系统的业务化运行与检验分析

依据我国独立发展的浪致混合理论,基于MASNUM第三代海浪数值模式和三维POM海流数值模式,研制开发了高分辨率浪-潮-流耦合数值预报系统并进行了(准)业务化运行与预报产品精度检验.该浪-潮-流耦合数值预报系统能够提供全球、西北太平洋和中国近海三个海域不同分辨率的海浪、海流以及温度、盐度等数值预报产品.基于卫星遥感数据、...     

论IPCC-AR4模式对影响西北太平洋热带气旋的大气动力环境场的气候特征模拟性能

评估了23个IPCC-AR4模式在低纬地区1948—1999年7—9月大尺度环流场的模拟性能,重点关注西北太平洋区域的西太副高、季风槽以及台风活动海域的垂直风切变。结果显示,绝大多数模式的7—9月低纬地区500hPa平均高度场、850hPa风场空间分布与NCEP都具有很高的相似性,但大多模式500hPa高度场存在系统性偏低,而850hPa风场偏强。所有模式模拟的西北太平洋副高脊线与NCEP都有一致的西南-东北走向,但有些模式的脊线位置偏离NCEP的较远。有4个模式没有模拟出类似于NCEP的季风槽线。综合模式对夏季热带环流场、西北太平洋副热带高压、季风槽以及西北太平洋热带气旋活动关键区域垂直风切变气候特征的模拟性能,按性能优劣,排在前10的模式依次是mpi_echam5、cccma_t63、gfdl_cm2_1、cnrm_cm3、cccma_t47、ukmo_hadgem1、ingv_echam4、ncar_ccsm3_0、csiro_mk3_5、mri_cgcm2_3_2a;排在后6位的模式是inmcm3_0、iap_fgoals1_0_g、ipsl_cm4、miroc3_2_medres、giss_eh、giss_er。     

IPCC耦合模式对北太平洋海-气系统冬季重现的模拟

冬季重现(再现)是中高纬度大尺度海表温度重要的持续性特征,是热带外海洋特有的现象。北太平洋大气环流也存在这一现象,它可能会强迫产生这一海域海温的冬季重现。本文利用IPCC 20C3M耦合模式资料,评估了耦合模式模拟北太平洋海–气系统冬季重现的能力。北太平洋海温冬季重现的空间范围是海盆尺度的,中部重现时间比其周围晚。大气环流场的冬季重现主要是在北太平洋中部,它与海温冬季重现关系密切。大多数IPCC耦合模式基本上可以模拟出太平洋海温大范围的冬季重现现象。与重现范围的模拟相比,耦合模式对重现时间地理差异的模拟都比较差。各模式对大气环流冬季重现时空分布特征的模拟较差,大部分模式未能模拟出大气环流场中主要的重现区域。而且,大气环流冬季重现对海温重现的可能影响并没有体现在这些耦合模式中。耦合模式对北太平洋大气冬季重现的模拟还有待改善。     

Improvement of short-termforecasting in the northwest Pacific through assimilating Argo data into initial fields

The impact of assimilating Argo data into an initial field on the short-term forecasting accuracy of temper- ature and salinity is quantitatively estimated by using a forecasting system of the western North Pacific, on the base of the Princeton ocean model with a generalized coordinate system （POMgcs）. This system uses a sequential multigrid three-dimensional variational （3DVAR） analysis scheme to assimilate observation da- ta. Two numerical experiments were conducted with and without Argo temperature and salinity profile data besides conventional temperature and salinity profile data and sea surface height anomaly （SSHa） and sea surface temperature （SST） in the process of assimilating data into the initial fields. The forecast errors are estimated by using independent temperature and salinity profiles during the forecasting period, including the vertical distributions of the horizontally averaged root mean square errors （H-RMSEs） and the horizontal distributions of the vertically averaged mean errors （MEs） and the temporal variation of spatially averaged root mean square errors （S-RMSEs）. Comparison between the two experiments shows that the assimila- tion of Argo data significantly improves the forecast accuracy, with 24% reduction of H-RMSE maximum for the temperature, and the salinity forecasts are improved more obviously, averagely dropping of 50% for H-RMSEs in depth shallower than 300 m. Such improvement is caused by relatively uniform sampling of both temperature and salinity from the Argo drifters in time and space.     

气候模式中海洋数据同化对热带降水偏差的影响

本文采用海洋卫星观测海表温度(SST)和海面高度异常(SLA)数据,对国家海洋局第一海洋研究所地球系统模式FIO-ESM(First Institute of Oceanography Earth System Model version 1.0)中海洋模式分量进行了集合调整卡尔曼滤波(EAKF)同化,对比分析了大气环流、湿度和云量对海洋数据同化的响应,探讨了海洋同化对热带降水模拟偏差的影响。结果表明:海洋数据同化能有效改善海表温度和上层海洋热含量的模拟,30°S~30°N纬度带内年平均SST的绝均差降低60%。同化后大气模式模拟的赤道两侧信风得到明显改善,上升气流在赤道以北热带地区增强而在赤道以南热带地区减弱,热带降水模拟的动力结构更为合理,水汽和云量分布也更切合实际。热带年平均降水的空间分布和强度在同化后均得到改善,赤道以南的纬向年平均降水峰值显著降低,降水偏差明显减小,同化后30°S~30°N纬度带内年平均降水绝均差降低35%。     

The impact of ocean data assimilation on seasonal predictions based on the National Climate Center climate system model

An ensemble optimal interpolation (EnOI) data assimilation method is applied in the BCC_CSM1.1 to investigate the impact of ocean data assimilations on seasonal forecasts in an idealized twin experiment framework. Pseudo-observations of sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS), temperature and salinity (T/S) profiles were first generated in a free model run. Then, a series of sensitivity tests initialized with predefined bias were conducted for a one-year period; this involved a free run (CTR) and seven assimilation runs. These tests allowed us to check the analysis field accuracy against the “truth”. As expected, data assimilation improved all investigated quantities; the joint assimilation of all variables gave more improved results than assimilating them separately. One-year predictions initialized from the seven runs and CTR were then conducted and compared. The forecasts initialized from joint assimilation of surface data produced comparable SST root mean square errors to that from assimilation of T/S profiles, but the assimilation of T/S profiles is crucial to reduce subsurface deficiencies. The ocean surface currents in the tropics were better predicted when initial conditions produced by assimilating T/S profiles, while surface data assimilation became more important at higher latitudes, particularly near the western boundary currents. The predictions of ocean heat content and mixed layer depth are significantly improved initialized from the joint assimilation of all the variables. Finally, a central Pacific El Ni?o was well predicted from the joint assimilation of surface data, indicating the importance of joint assimilation of SST, SSH, and SSS for ENSO predictions.     

Impact on the tropical cyclone “Vongfong” forecast using the Quik SCAT wind data

Since QuikSCAT is available in cloudy and rainy condition, its wind data are valuable in monitoring and real timeorecasting the wind field, especially in sparse genesis regions of tropical cyclones. In order to understand and investigate the impact of QuikSCAT wind data, the three-dimensional variational data assimilation (3D-VAR) of scatterometric wind data has been employed for the tropical cyclone “Vongfong” in the year 2002. The result shows that the QuikSCAT wind data have positive impact on the analysis and forecasting. But the positive impact is slight. The present results suggest that how to assimilate QuikSCAT wind data effectively is important and will be a challenge to meteorologists.     

ARGO观测资料的2种同化方案

使用POM(Princeton Ocean Model)海洋环流模式模拟西北太平洋海域的温盐场,之后运行中国科学院大气物理研究所同化系统(Ocean Variational Analysis System,OVALS),使用Argo观测网格化产品进行2006年整个计算域三维变分同化。无论从平面分布还是断面分布来看,除海表面温度(SST)外,温度同化的效果都比较好,尤其是800 m水深以浅,均方差值甚至能减小1.0℃以上。而且随着同化积分时间的增加,同化后误差减小越来越显著,3、4月份的同化效果明显高于1、2月份。与OFES(OGCM for the Earth Simulator)海洋模式结果相比,同化在一定程度上改进了模拟结果。在POM(Princeton Ocean Model)数值模拟基础上,利用3个西太平洋代表性浮标的观测资料,运用松弛逼近法同化2006年6月断面数据。当松弛系数取0.5时,模拟时间大约半天,模拟值就能快速逼近或完全等于观测值。虽然只对观测剖面进行了数据同化,但该同化可以产生更大范围的效果,而且这种效果可以持续更长时间。     

Simulating the impacts of fishing on central and eastern tropical Pacific ecosystem using multispecies size-spectrum model

The size-spectrum model has been considered a useful tool for understanding the structures of marine ecosystems and examining management implications for fisheries. Based on Chinese tuna longline observer data from the central and eastern tropical Pacific Ocean and published data, we developed and calibrated a multispecies size-spectrum model of twenty common and commercially important species in this area. We then use the model to project the status of the species from 2016 to 2050 under five c...     

西北太平洋热带气旋与上层海洋热含量的关系

利用SODA(Simple Ocean Data Assimilation)的海温资料和Unisys Weather的热带气旋资料,研究了1960-2008年期间北太平洋上层150 m的热含量分布特征及其与西北太平洋热带气旋发生频次的关系。考虑了纬度的变化对热含量的影响后,北太平洋热含量的高值中心位于10°N左右,与上层海温结构相符,计算结果更加符合物理意义。北太平洋热含量与西北太平洋热带气旋频数年际相关性研究表明在北太平洋中高纬度大洋内区和赤道东太平洋热带不稳定波发生区呈现出前期冬季正相关性。此相关性存在显著年代际的变化,在1970-1975年和1984-2008年期间最强,1976-1983年期间较弱。在北太平洋中高纬度大洋内区,同期春夏秋季同样存在强正相关。在西太平洋暖池区,同期秋季负相关最为显著。赤道中太平洋区域在夏季呈显著的正相关,秋季减弱。赤道东太平洋海域的相关性前期冬季负相关最为显著,春季负相关性减弱,夏季和秋季无显著相关。     

Response of a coupled ocean-ice-atmosphere model to data assimilation in the tropical zone of the Pacific Ocean

This paper deals with numerical experiments based on the coupled ECHAM-HOPE model. The results of experiments are analyzed. The initial fields for the calculations over time periods from one month to one year are constructed based on the results of the data assimilation of temperature profiles from TOGA-TAO moorings. The perturbations of the initial fields and the propagation of these perturbations with specific computational time intervals are analyzed on the basis of the results of these experiments. It is shown that the strongest impacts of the perturbations are localized in specific regions of the World Ocean corresponding to the energetically active zones of the Earth. The mechanism of the transition of these perturbations is also studied. Different statistical properties of the ensemble of experiments are presented.     

The seasonal variation of undercurrent and temperature in the equatorial Pacific jointly derived from buoy measurement and assimilation analysis

Based on the TOGA-TAO buoy chain observed data in the equatorial Pacific and the assimilation analysis results from SODA(simple ocean data assimilation analysis), the role of the meridional cells in the subsurface of the tropical Pacific was discussed. It was found that, the seasonal varying direction of EUC (the quatorial Undercurrent)in the Peacific is westwards beginning from the eastern equatorial Pacific in the boreal spring. The meridional cell south of the equator plays important role on this seasonal change of EUC.On the other hand, although the varying direction is westwards,the seasonal variation of temperature in the same region gets its minimum values in the boreal autumn beginning from the eastern equatorial Pacific.The meridional cell north of the equator is most responsible for the seasonal temperature variation in the eastern equatorial Pacific while the meridional cell south of the equator mainly controls the seasonal temperature change in the central Pacific. It is probably true that the asymmetry by the equator is an important factor influencing the seasonal cycle of EUC and temperature in the tropical Pacific.