Ocean–atmosphere coupling and the boreal winter MJO     

Hye-Mi Kim  Carlos D. Hoyos  Peter J. Webster  In-Sik Kang 《Climate Dynamics》2010,35(5):771-784

The influence of ocean–atmosphere coupling on the simulation and prediction of the boreal winter Madden–Julian Oscillation (MJO) is examined using the Seoul National University coupled general circulation model (CGCM) and atmospheric—only model (AGCM). The AGCM is forced with daily SSTs interpolated from pentad mean CGCM SSTs. Forecast skill is examined using serial extended simulations spanning 26 different winter seasons with 30-day forecasts commencing every 5 days providing a total of 598 30-day simulations. By comparing both sets of experiments, which share the same atmospheric components, the influence of coupled ocean–atmosphere processes on the simulation and prediction of MJO can be studied. The mean MJO intensity possesses more realistic amplitude in the CGCM than in AGCM. In general, the ocean–atmosphere coupling acts to improve the simulation of the spatio-temporal evolution of the eastward propagating MJO and the phase relationship between convection (OLR) and SST over the equatorial Indian Ocean and the western Pacific. Both the CGCM and observations exhibit a near-quadrature relationship between OLR and SST, with the former lagging by about two pentads. However, the AGCM shows a less realistic phase relationship. As the initial conditions are the same in both models, the additional forcing by SST anomalies in the CGCM extends the prediction skill beyond that of the AGCM. To test the applicability of the CGCM to real-time prediction, we compute the Real-time Multivariate MJO (RMM) index and compared it with the index computed from observations. RMM1 (RMM2) falls away rapidly to 0.5 after 17–18 (15–16) days in the AGCM and 18–19 (16–17) days in the CGCM. The prediction skill is phase dependent in both the CGCM and AGCM.  相似文献   

基于TIGGE数据的我国寒潮自动识别预报方法   总被引：2，自引：0，他引：2       下载免费PDF全文

康志明  金荣花  鲍媛媛  田伟红  桂海林 《应用气象学报》2010,21(3):298-306

利用1951—2006年中央气象台寒潮天气过程数据以及NCEP/NCAR 500 hPa高度场等逐日再分析资料,通过客观聚类方法与主观对比分析确定寒潮爆发的典型形势场,结合寒潮过程特征量阈值,建立了基于TIGGE集合预报产品的寒潮自动识别客观预报方法,并利用TIGGE集合预报数据对2008年1月和2009年1月两次寒潮天气过程进行预报试验。结果表明:利用500 hPa高度距平场进行聚类分析,一方面可以消除环流季节特征对划分结果的影响,另一方面也突出了寒潮这种强天气的异常扰动表现;基于集合预报产品的寒潮自动识别预报方法浓缩了集合预报产品信息,可直接为预报员提供寒潮发生的概率预报,从而在集合预报产品与我国实际灾害性天气之间建立了直接联系。  相似文献   

Tropical Pacific impacts of convective momentum transport in the SNU coupled GCM     

Daehyun Kim  Jong-Seong Kug  In-Sik Kang  Fei-Fei Jin  Andrew T. Wittenberg 《Climate Dynamics》2008,31(2-3):213-226

Impacts of convective momentum transport (CMT) on tropical Pacific climate are examined, using an atmospheric (AGCM) and coupled GCM (CGCM) from Seoul National University. The CMT scheme affects the surface mainly via a convection-compensating atmospheric subsidence which conveys momentum downward through most of the troposphere. AGCM simulations—with SSTs prescribed from climatological and El Nino Southern Oscillation (ENSO) conditions—show substantial changes in circulation when CMT is added, such as an eastward shift of the climatological trade winds and west Pacific convection. The CMT also alters the ENSO wind anomalies by shifting them eastward and widening them meridionally, despite only subtle changes in the precipitation anomaly patterns. During ENSO, CMT affects the low-level winds mainly via the anomalous convection acting on the climatological westerly wind shear over the central Pacific—so that an eastward shift of convection transfers more westerly momentum toward the surface than would occur without CMT. By altering the low-level circulation, the CMT further alters the precipitation, which in turn feeds back on the CMT. In the CGCM, CMT affects the simulated climatology by shifting the mean convection and trade winds eastward and warming the equatorial SST; the ENSO period and amplitude also increase. In contrast to the AGCM simulations, CMT substantially alters the El Nino precipitation anomaly patterns in the CGCM. Also discussed are possible impacts of the CMT-induced changes in climatology on the simulated ENSO.  相似文献   

Current status of ENSO prediction skill in coupled ocean–atmosphere models     

Emilia K. Jin  James L. Kinter III  B. Wang  C.-K. Park  I.-S. Kang  B. P. Kirtman  J.-S. Kug  A. Kumar  J.-J. Luo  J. Schemm  J. Shukla  T. Yamagata 《Climate Dynamics》2008,31(6):647-664

The overall skill of ENSO prediction in retrospective forecasts made with ten different coupled GCMs is investigated. The coupled GCM datasets of the APCC/CliPAS and DEMETER projects are used for four seasons in the common 22 years from 1980 to 2001. As a baseline, a dynamic-statistical SST forecast and persistence are compared. Our study focuses on the tropical Pacific SST, especially by analyzing the NINO34 index. In coupled models, the accuracy of the simulated variability is related to the accuracy of the simulated mean state. Almost all models have problems in simulating the mean and mean annual cycle of SST, in spite of the positive influence of realistic initial conditions. As a result, the simulation of the interannual SST variability is also far from perfect in most coupled models. With increasing lead time, this discrepancy gets worse. As one measure of forecast skill, the tier-1 multi-model ensemble (MME) forecasts of NINO3.4 SST have an anomaly correlation coefficient of 0.86 at the month 6. This is higher than that of any individual model as well as both forecasts based on persistence and those made with the dynamic-statistical model. The forecast skill of individual models and the MME depends strongly on season, ENSO phase, and ENSO intensity. A stronger El Niño is better predicted. The growth phases of both the warm and cold events are better predicted than the corresponding decaying phases. ENSO-neutral periods are far worse predicted than warm or cold events. The skill of forecasts that start in February or May drops faster than that of forecasts that start in August or November. This behavior, often termed the spring predictability barrier, is in part because predictions starting from February or May contain more events in the decaying phase of ENSO.  相似文献   

江苏地表湿润状况的变化趋势与区域特征分析   总被引：3，自引：0，他引：3  

康俊  邱新法  曾燕  李梦洁 《气象》2008,34(9):89-96

为了了解江苏省地表湿润状况,利用江苏省60个气象站1961-2005年月降水和月平均气温资料,通过构造一个既包含降水变化又考虑温度变化对潜在蒸发影响的干湿指标一地表湿润指数Hf=P/Pe(P为观测的月降水总量,Pe为月最大潜在蒸发),采用M-K法,对比分析了江苏省区域平均地表湿润指数的年代际变化特征及季节性差异,并讨论了它与降水和气温的联系,突出了在全球变暖背景下温度变化对干湿变化的重要影响.最后给出了地表湿润指数各季节变化趋势的地理分布.结果表明:苏北和苏南地区的年际变化趋势基本相反.由于温度的升高苏北苏中地区均出现变干趋势,苏南部分地区降水显著增加却没有呈现显著变湿趋势.江苏地区的干化趋势主要发生在春秋季节.  相似文献   

应用通量方差法估算戈壁绿洲下垫面湍流通量的研究   总被引：3，自引：0，他引：3  

王少影  张宇  吕世华 《大气科学》2010,34(6):1214-1222

利用“绿洲系统能量与水分循环过程观测试验” 2005年绿洲、戈壁点的观测资料, 分析与讨论了温度、水汽的归一化标准差随稳定度变化的通量方差关系, 应用通量方差法对感热、 潜热通量进行了计算, 并同涡动相关系统的观测结果进行了比较。不稳定条件下, 戈壁点温度归一化标准差随稳定度变化的通量方差关系优于下垫面非均匀性更强的绿洲点, 绿洲点水汽的归一化标准差随稳定度变化的通量方差关系较温度量表现得更好。对同一站点, 归一化温度标准差的通量方差关系并不总是优于水汽的通量方差关系, 其取决于该站点的温度以及水汽的源汇分布情况; 通量方差法对两个站点的感热、 潜热通量均有较好的再现, 但戈壁点感热通量的计算效果优于非均匀性更强的绿洲点。应用通量方差法对潜热通量计算时若采用直接观测的感热通量, 则潜热通量的计算效果具有一定程度的改善。  相似文献   

利用TRMM卫星资料对人工增雨云系模式云微观场预报能力的检验   总被引：6，自引：0，他引：6  

马占山  刘奇俊  秦琰琰  康志明  延昊 《气象学报》2009,67(2):260-271

文中利用TRMM卫星测雨雷达探测反演的云水、雨水、云冰和降冰4种云参数产品及实况降水资料,对比检验该人工增雨云系业务模式对云微观场和地面降水场的预报能力.结果表明,人工增雨云系模式系统对降水的预报能力要略优于现行业务运行的GRAPES模式;人工增雨云系模式系统能较好地预报云系系统云物理微观量的垂直结构特征,模式预报的微观场与卫星监测吻合较好;在播撒窗区的水平分布上,模式预报的各水凝物分布形势和强中心位置与卫星监测一致,其大小也接近监测值;人工增雨云系模式能较好地预报云的微观场和天气形势场,可作为云系人工增雨条件决策的重要参考依据.  相似文献   

NCEP/NCAR再分析资料在纳木错流域湖泊/冰川区适用性分析     

游庆龙  康世昌  李潮流  张强弓  李茂善  刘景时 《气象》2009,35(5):66-73

利用中国科学院青藏高原研究所纳木错多圈层综合观测研究站在念青唐古拉峰扎当冰川垭口(30.47°N、90.65°E,5800m)和纳木错站(30.77°N、90.99°E,4730m)的逐日平均气温、相对湿度、气压等资料,与同期NCEP/NCAR再分析资料进行了对比分析,讨论了再分析资料在纳木错流域湖泊/冰川区气候变化研究中的适用性.结果表明:扎当冰川垭口和纳木错站气压再分析资料的可信度好于气温,相对湿度稍差:扎当冰川垭口气压和相对湿度再分析值与实测值的差值在冬季偏大,夏季偏小,气温则相反.在研究期间,总体上再分析资料在冰川区的可信度好于湖泊区,再分析资料能很好地反映该地区地面气压、气温和相对湿度的日变化特征,在应用到该地区气候变化的研究时应考虑地形的影响.  相似文献   

基于CLM3模拟的中国区域陆地水资源分析     

杜川利  刘晓东  WUWanli 《陕西气象》2008,(1):1-6

针对2007年7月30日发生在山西省南部的区域暴雨局部特大暴雨天气过程,利用多种资料,计算了多种物理量,分析了其演变特征,指出a)前期500 hPa阻塞高压和切断低压的形成和长期维持以及副热带高压的稳定加强、维持,是造成山西大范嗣降水和区域暴雨天气的特殊环流背景.b)特殊背景下形成的MCS是造成此次南部区域暴雨的直接影响系统,强烈而持续的水汽夹卷作用、对流层高层强抽吸作用使得MCS维持和加强.c)地形性辐合的存在使得垂直上升运动加强,而高位势不稳定能量的释放与低层迎风坡面上低云的相互作用,使得MCS不断发展,使雨强出现了3次强烈增幅.  相似文献   

双流冬草莓低温冻害天气特征及防冻措施探讨   总被引：1，自引：0，他引：1  

罗琴  于成  蔡霞  叶丽君  肖楷  祝康 《高原山地气象研究》2008,28(3):72-75

双流县作为我国最大的冬草莓生产基地,低温冻害是冬季生产关键期的主要气象灾害。本文对2005年初低温冻害进行了分析,归纳出了双流县冬草莓低温冻害的发生规律及冻害临界温度指标,并提出了具体的防冻措施。  相似文献