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1.
WRF模式对中国夏季降水的动力降尺度模拟研究   总被引:1,自引:3,他引:1  
采用NCEP的FNL再分析资料驱动WRF模式,对中国10 a(2000—2009年)夏季降水进行双重动力降尺度(双重嵌套)模拟,将子、母区域模拟结果和观测进行对比,以检验双重动力降尺度对中国夏季降水模拟的"增值"能力。结果表明:单重动力降尺度(单重嵌套)方法能较好模拟出中国10 a夏季平均降水的空间分布,对季风雨带"北跳"特征模拟较好,但模拟降水具有系统性正偏差。在母区域的强迫下,双重动力降尺度模拟的降水分布与单重动力降尺度相比,没有发生根本性变化。但由于子区域的分辨率要高于母区域,双重动力降尺度比单重动力降尺度能提供更多有价值的降水细节。双重动力降尺度的这种"增值"能力存在地域依赖性,在华南地区和江淮地区,双重动力降尺度模拟出的降水分布、量值和逐日演变都要好于单重动力降尺度。但在华北地区,双重动力降尺度没有表现出明显的"增值"。  相似文献   

2.
Simulation of East Asian Summer Monsoon with IAP CGCM   总被引:1,自引:0,他引:1  
SimulationofEastAsianSummerMonsoonwithIAPCGCMChenQiying(陈起英),①YuYongqiang(俞永强)andGuoYufu(郭裕福)InstituteofAtmosphericPhysics,Ch...  相似文献   

3.
基于山东省123个国家级气象观测站1961—2015年夏季降水资料、1991—2015年NCEP再分析资料,分析了山东夏季降水变化特征及其与大气环流的关系。结果表明,在山东夏季降水偏多(少)时,乌拉尔山阻塞高压偏弱(强),副热带高压偏强(弱),南亚高压偏强(弱),并且200 hPa经向风场有明显的类似丝绸之路遥相关型的波列结构。利用国家气候中心第二代海气耦合模式3月起报的未来夏季海平面气压场建立降尺度预测模型,该模型对山东夏季降水的预测符号一致率达到64%,有一定的预测能力,进一步分析发现,模式对关键区环流因子的模拟预测能力显著影响降尺度预测方法的准确率。  相似文献   

4.
黄淮地区夏季降水的统计降尺度预测   总被引:3,自引:2,他引:1       下载免费PDF全文
利用1991-2011年黄淮地区夏季降水、NCEP/NCAR再分析资料和国家气候中心第2代动力气候模式(BCC_CSM1.1m)夏季回报结果,研究黄淮地区夏季降水降尺度预测模型和可预报性来源。诊断发现,黄淮地区夏季降水与同期南亚高压、乌拉尔山附近阻塞高压、西风急流、西太平洋赤道上空200 hPa纬向风场呈明显正相关。分析BCC_CSM1.1m对夏季环流的回报结果发现,模式对200 hPa和500 hPa位势高度场、200 hPa纬向风场和850 hPa经向风场上影响黄淮地区夏季降水的部分关键区域有较好的模拟能力。利用模式预报技巧较高且对黄淮地区夏季降水的影响有物理含义的环流特征作为预测因子,对比预测因子进行独立性筛选前后分别建立的降尺度预测模型发现,黄淮地区夏季降水预测与实况的距平符号一致率由61%提高到72%。预测技巧来源分析发现,降尺度预测能力与BCC_CSM1.1m对影响黄淮地区夏季降水的3个关键因子乌拉尔山附近环流、南亚高压、西太平洋赤道上空西风强弱的预测技巧密切相关,尤其是模式对西太平洋赤道上空西风的模拟能力起到决定性作用。  相似文献   

5.
中国东北地区夏季旱涝的大气环流异常特征   总被引:27,自引:1,他引:26  
利用东北地区均匀分布的69个测站35年(1961~1995年)夏季月平均降水资料和NCEP/NCAR 1958~1997年月平均再分析资料,对我国东北地区夏季旱涝发生的大气环流异常特征及其差异进行了诊断分析研究.结果表明,东北地区旱涝年夏季,高纬和极区大气环流特征、东北亚异常长波槽脊的分布和活跃程度、东亚大槽和西太平洋副热带高压的位置和强度等均有十分明显的差别.不仅如此,该区域夏季降水异常还显著地受到亚洲季风诸系统的影响,包括南亚季风,也包括南海季风和副热带季风,并且高空西风急流的位置和强度也有明显变化.涡度、散度、垂直速度和水汽含量等物理量特征在旱涝年不仅有截然相反的分布,而且还表现出与低纬地区存在着不同的联系方式.位于菲律宾以东洋面上行星尺度的高层辐散和低层辐合也有一定不同,并且受热带地区大气加热强度变化的影响,东北地区所在经度上的经圈环流在旱涝年也发生了明显变化,从而对该区域降水异常产生影响.  相似文献   

6.
To enable downscaling of seasonal prediction and climate change scenarios, long-term baseline regional climatologies which employ global model forcing are needed for South America. As a first step in this process, this work examines climatological integrations with a regional climate model using a continental scale domain nested in both reanalysis data and multiple realizations of an atmospheric general circulation model (GCM). The analysis presents an evaluation of the nested model simulated large scale circulation, mean annual cycle and interannual variability which is compared against observational estimates and also with the driving GCM for the Northeast, Amazon, Monsoon and Southeast regions of South America. Results indicate that the regional climate model simulates the annual cycle of precipitation well in the Northeast region and Monsoon regions; it exhibits a dry bias during winter (July–September) in the Southeast, and simulates a semi-annual cycle with a dry bias in summer (December–February) in the Amazon region. There is little difference in the annual cycle between the GCM and renalyses driven simulations, however, substantial differences are seen in the interannual variability. Despite the biases in the annual cycle, the regional model captures much of the interannual variability observed in the Northeast, Southeast and Amazon regions. In the Monsoon region, where remote influences are weak, the regional model improves upon the GCM, though neither show substantial predictability. We conclude that in regions where remote influences are strong and the global model performs well it is difficult for the regional model to improve the large scale climatological features, indeed the regional model may degrade the simulation. Where remote forcing is weak and local processes dominate, there is some potential for the regional model to add value. This, however, will require improvments in physical parameterizations for high resolution tropical simulations.  相似文献   

7.
A 44-year (1958–2001) high-resolution atmospheric hindcast for the whole Mediterranean Basin was performed within the EU-funded Hindcast of Dynamic Processes of the Ocean and Coastal Areas of Europe (HIPOCAS) Project. The long-term hindcasted data set, which comprises several atmospheric parameters at different levels, was produced by means of dynamical downscaling from the NCEP/NCAR global reanalysis using the atmospheric limited area model REMO. The REMO hindcast has been exhaustively validated. On that score, various hindcasted surface parameters, such as 10-m wind field, 2-m temperature and mean sea level pressure, have been compared to satellite data (ERS-1/2 scatterometer) and in-situ measurements from offshore stations. In addition, two ocean models (waves and sea level) have been forced with REMO hindcasted fields (mean sea level pressure and 10-m wind field). The validation of these ocean runs, performed through comparisons of simulated waves and sea level with oceanographic measurements, allows to evaluate "indirectly" the quality of the REMO hindcasted data used as atmospheric forcing. Once the quality of the hindcasted data was verified, the efficiency of the regional enhancement performed through dynamical downscaling on the NCEP global reanalysis was assessed. The regional improvement was evaluated through comparisons of REMO and NCEP performance in reproducing observations. The important improvement obtained in the characterization of extreme wind events is particularly remarkable.  相似文献   

8.
变网格模式LMDZ4对东亚夏季气候的模拟检验   总被引:1,自引:0,他引:1       下载免费PDF全文
对法国动力气象实验室发展的变网格全球大气环流模式LMDZ4在东亚地区的模拟性能进行评估。LMDZ4作为海气耦合模式IPSL-CM5A的大气模块,本文局地格点加密区域位于东亚上空,加密区外使用ERA-interim再分析资料进行驱动,积分时段为1979—2009年。通过对模式在东亚东部区域夏季气候的模拟能力评估,发现模式整体上能够真实地模拟出南亚高压、西风急流、西太副高、水汽输送以及夏季风等环流系统的气候平均态,地面雨带和气温的分布及极值中心都得到较好再现。同时模式仍显现一定的偏差,具体表现为,华南沿海的模拟偏冷偏湿,江淮流域偏暖偏干,而东北地区则偏暖偏湿,导致这种地面要素场偏差的原因来自于中上层环流场的系统性模拟偏差。例如,高层南亚高压、西风急流模拟偏弱,而印度季风和来自印度洋的水汽输送偏强,导致华南沿海降水偏多。西太平洋副高偏东偏弱,低纬东风带强度偏弱,西太平洋区域比湿偏小,使得东南风带来的水汽无法到达江淮流域。上述偏差的产生可能由于LMDZ4模式中的云参数化方案尚存在不足之处,使得云量的模拟偏少,并且该版本模式的垂直分辨率不足,限制了它对高层环流系统的模拟能力,增加了模式的系统误差。  相似文献   

9.
The simulation characteristics of the seasonal evolution of subtropical anticyclones in the Northern Hemisphere are documented for the Flexible Global Ocean-Atmosphere-Land Systemmodel, Spectral Version 2 (FGOALS-s2), developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, the Institute of Atmospheric Physics. An understanding of the seasonal evolution of the subtropical anticyclones is also addressed. Compared with the global analysis established by the European Centre for Medium-Range Forecasts, the ERA-40 global reanalysis data, the general features of subtropical anticyclones and their evolution are simulated well in both winter and summer, while in spring a pronounced bias in the generation of the South Asia Anticyclone(SAA) exists. Its main deviation in geopotential height from the reanalysis is consistent with the bias of temperature in the troposphere. It is found that condensation heating (CO) plays a dominant role in the seasonal development of the SAA and the subtropical anticyclone over the western Pacific (SAWP) in the middle troposphere. The CO biases in the model account for the biases in the establishment of the SAA in spring and the weaker strength of the SAA and the SAWP from spring to summer. CO is persistently overestimated in the central-east tropical Pacific from winter to summer, while it is underestimated over the area from the South China Sea to the western Pacific from spring to summer. Such biases generate an illusive anticyclonic gyre in the upper troposphere above the middle Pacific and delay the generation of the SAA over South Asia in April. In midsummer, the simulated SAA is located farther north than in the ERA-40 data owing to excessively strong surface sensible heating (SE) to the north of the Tibetan Plateau. Whereas, the two surface subtropical anticyclones in the eastern oceans during spring to summer are controlled mainly by the surface SE over the two continents in the Northern Hemisphere, which are simulated reasonably well, albeit with their centers shifted westwards owing to the weaker longwave radiation cooling in the simulation associated with much weaker local stratiform cloud. Further improvements in the related parameterization of physical processes are therefore identified.  相似文献   

10.
1. Introduction As an important way to study the global climate change, because of its low resolution, GCM (general circulation model) shows obvious deficiency and uncer- tainty in capturing some regional features when used in the regional climate study, and the uncertainty is even serious in regional climate simulation over East Asia (Ding et al., 2000; Zhao and Luo, 1998; Qian et al., 1999). The high-resolution regional climate model (RegCM) developed in the 1980s can provide better simu…  相似文献   

11.
区域气候模式REMO对东亚季风季节变化的模拟研究   总被引:8,自引:2,他引:6  
将欧洲区域气候模式REMO首次应用于东亚区域,利用该模式对1980年和1990年东亚季风季节变化进行了模拟研究,并将模拟结果与NCEP再分析资料进行比较,以检验该模式对东亚季风的模拟能力.研究表明,区域气候模式REMO能够较好地模拟出东亚地区高、低空的大气环流特征,模拟的高度场、流场和温度场与NCEP再分析资料场都比较一致.模拟结果显示了东亚季风的月变化和季节转换特征.模拟的降水场与GPCC降水资料的对比结果表明,REMO能较为成功地模拟出东亚地区降水的空间分布,并能较好地反映降水的季节变化及主要降水趋势,夏季降水模拟偏大,整个区域平均的降水量偏差约为18%左右.  相似文献   

12.
This work evaluates the added value of the downscaling technique employed with the Eta model nested in the CPTEC atmospheric general circulation model and in the CPTEC coupled ocean?Catmosphere general circulation model (CGCM). The focus is on the austral summer season, December?CJanuary?CFebruary, with three members each year. Precipitation, latent heat flux, and shortwave radiation flux at the surface hindcast by the models are compared with observational data and model analyses. The global models generally overestimate the precipitation over South America and tropical Atlantic. The CGCM and the nested Eta (Eta + C) both produce a split in the ITCZ precipitation band. The Eta + C produces better precipitation pattern for the studied season. The Eta model reduces the excessive latent heat flux generated by these global models, in particular the Eta + C. Comparison against PIRATA buoys data shows that the Eta + C results in the smallest precipitation and shortwave radiation forecast errors. The Eta + C comparatively best results are though as a consequence of both: the regional model resolution/physics and smaller errors on the lateral boundary conditions provided by the CGCM.  相似文献   

13.
不同边界层参数化方案对东亚夏季风气候模拟的对比研究   总被引:6,自引:3,他引:3  
用WRF v3.2.1中尺度预报模式和NCEP/NCAR再分析资料,对比研究了WRF模式中5个不同边界层参数化方案对东亚夏季风气候的模拟效果。结果表明:WRF模式对各边界层参数化方案均较为敏感,采用不同的边界层参数化方案对模拟区域内的夏季降水、气温、环流等气候要素均可产生明显影响。选取MYJ方案和QNSE方案对500 h Pa夏季平均环流的模拟效果较好,YSU方案和QNSE方案对夏季平均日降水量模拟与再分析资料更吻合,YSU方案和MYNN2.5方案对中国东部2 m气温的模拟结果较好。不同边界层参数化方案模拟结果都显示出由于副热带高压偏强,使副热带高压第2次北跳后停留时间过短,导致长江中下游降水偏少,华北地区降水增多。通过比较YSU和QNSE边界层方案,发现YSU方案相比QNSE方案的降水差异,是由于850 h Pa水汽输送造成的。在中国大部分地区YSU方案的2 m温度比QNSE方案高,并且地面2 m气温和降水存在一定对应关系。因此合理选取边界层参数化方案可以提高数值模拟的准确性。  相似文献   

14.
Summary ?To analyse the applicability of a limited-area atmosphere model to the Southern Ocean, a one-year simulation for 1985 is performed using the REgional MOdel REMO at 55-km horizontal grid-spacing implemented for the Antarctic regions of the Weddell, Bellingshausen and Amundsen Seas. To evaluate the performance of REMO, a comparison of model results to observations and to reanalysis/analysis data sets is carried out. REMO is initialized and driven at the lateral and lower boundaries by data of the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA15). Overall, REMO is an appropriate tool for further climate studies in Antarctic regions. It reproduces reasonably well basic spatial patterns and the seasonal cycle of the atmospheric circulation. However, the simulated mean sea level pressure (MSLP) is predominantly lower than the MSLP provided by observations and by ERA. Considerable temperature differences in the lower troposphere over sea ice in winter cause discrepancies between the REMO and ERA pressure fields in the mid-troposphere too. The precipitation rate P of the REMO simulation agrees qualitatively well with main features of the observed climatological spatial distribution described in literature. The seasonal cycle of P in the inner Weddell Sea reflects the Antarctic semi-annual oscillation. Concerning the forcing fields, the ERA sea ice surface temperatures in winter are generally higher than satellite derived surface temperatures. Although the differences are 10 to 15 K in the southern Weddell Sea, this deficiency of the ERA data hardly influences the mean large-scale circulation. Received October 10, 2001; revised April 22, 2002; accepted May 12, 2002  相似文献   

15.
现阶段的动力气候模式尚不能满足东亚区域气候预测的实际需求,这就需要动力和统计相结合的方法,将动力模式中具有较高预测技巧的大尺度环流信息应用到降水等气象要素的统计预测模型当中,以改善后者预测效果。本文中所介绍的组合统计降尺度模型,可将动力气候模式预测的大尺度环流变量和前期观测的外强迫信号作为预测因子来预测中国夏季降水异常。交叉检验结果显示,组合统计降尺度预测模型的距平相关系数较原始模式结果有较大提高。在实时夏季降水预测中,2013~2018年平均的预测技巧相对较高,趋势异常综合检验(PS)评分平均为71.5分,特别是2015~2018年平均的PS评分预测技巧达到72.7分,总体上高于业务模式原始预测和业务发布预测的技巧。该组合统计降尺度模型预测性能稳定,为我国季节预测业务提供了一种有效参考。  相似文献   

16.
基于1982-2017年NCEP_CFSv2(NCEP Climate Forecast System version 2)模式预测资料对黑龙江省夏季降水进行降尺度预测。通过分析黑龙江省夏季降水与同期环流因子的关系、模式对关键区环流因子的预测,选取模式模拟与再分析资料相关较好、黑龙江降水实况与再分析资料关系较好的环流因子作为预测因子,结合最优子集回归法筛选因子,建立降尺度预测模型,最后采用交叉检验法进行预测效果检验和独立样本预测。结果表明:模式降尺度预测与实况的距平符号-致率为69%,6 a独立样本预测中有5 a预测正确,优于目前的业务预测效果。进-步研究发现,在模式能够准确预测环流因子的情况下,模式降尺度可以较好地预测黑龙江省夏季降水的趋势。此外,模式降尺度在拉尼娜年预测效果较好。  相似文献   

17.
利用中国站点观测逐月降水和月平均气温资料以及NCEP/NCAR再分析资料,揭示了热带印度洋偶极子(IOD)与中国夏季气候异常关系的年代际变化.结果表明:IOD与中国夏季年际气候异常的关系既有稳定的一面,又存在着年代际变化.较为稳定的关系表现为:IOD与同年夏季长江黄河之间的降水变化存在显著负相关,与四川气温变化存在显著正相关;IOD与次年夏季四川降水存在显著正相关.伴随发生在20世纪70年代末的大尺度环流年代际转型,IOD与中国气候年际异常的联系亦发生变化:IOD正位相年的同年夏季降水异常型,由中国大部分地区偏少变为长江以南(北)偏多(少),气温由西南地区东部偏暖变为长江以南(北)偏冷(暖);次年夏季降水由全国大部分地区偏多变为长江以南(北)偏少(多),气温由全国大部分地区相关不显著变为黄河以南大部分地区显著偏暖.在IOD负位相年,中国夏季气候异常的特征与IOD正位相年相反.在20世纪70年代末的大尺度年代际气候转犁前后,与IOD相关的东亚大气环流异常特征明显不同.在IOD发展阶段,在70年代末以前,印度夏季风和南海季风偏强,副热带高压势力偏弱,导致中国华南大部分地区降水偏少,华北西部以及内蒙古中部等地降水偏多;70年代末以后,东亚大陆中纬度为弱的东风距平,导致新疆北部降水偏少,气温偏高,华南降水偏多.在IOD次年夏季,70年代末以前,华南、河套以及四川等地盛行偏南气流,降水偏多;70年代末以后,南亚高压和西太平洋副高偏西偏强,华南、江南降水偏少.  相似文献   

18.
We present an analysis of climate change over southern South America as simulated by a regional climate model. The regional model MM5 was nested within time-slice global atmospheric model experiments conducted by the HadAM3H model. The simulations cover a 10-year period representing present-day climate (1981–1990) and two future scenarios for the SRESA2 and B2 emission scenarios for the period 2081–2090. There are a few quantitative differences between the two regional scenarios. The simulated changes are larger for the A2 than the B2 scenario, although with few qualitative differences. For the two regional scenarios, the warming in southern Brazil, Paraguay, Bolivia and northeastern Argentina is particularly large in spring. Over the western coast of South America both scenarios project a general decrease in precipitation. Both the A2 and B2 simulations show a general increase in precipitation in northern and central Argentina especially in summer and fall and a general decrease in precipitation in winter and spring. In fall the simulations agree on a general decrease in precipitation in southern Brazil. This reflects changes in the atmospheric circulation during winter and spring. Changes in mean sea level pressure show a cell of increasing pressure centered somewhere in the southern Atlantic Ocean and southern Pacific Ocean, mainly during summer and fall in the Atlantic and in spring in the Pacific. In relation to the pressure distribution in the control run, this indicates a southward extension of the summer mean Atlantic and Pacific subtropical highs.  相似文献   

19.
山东夏季降水异常的前兆信号特征   总被引:1,自引:2,他引:1  
利用山东省内1960~2003年40个观测站的夏季降水资料和NCEP/NCAP再分析资料,分析了山东夏季降水空间分布、时间尺度的演变特征以及山东夏季降水异常时大气环流、热带对流活动的异常特征,结果表明:山东夏季降水总体呈现由鲁南向鲁北递减的趋热,空间分布具有一致性.涝年的前期冬季极涡向东扩展,东亚大槽和东亚冬季风较常年偏强;旱年前期冬季极涡偏向西半球,东亚大槽和东亚冬季风较常年偏弱.涝年热带印度洋、南海至西太平洋地区对流增强,热带东太平洋地区对流减弱,西太平洋副热带高压位置偏北;旱年则相反.涝年前期冬季由于冬季风较强及低纬度地区冷涌活跃,加强了低纬地区的对流活动,增强了Hadely环流,加强了能量及水汽向中、高纬度地区的输运,从而引起山东降水增多.  相似文献   

20.
利用山东省内1960-2003年40个观测站的夏季降水资料和NCEP/NCAP再分析资料,分析了山东夏季降水空间分布、时间尺度的演变特征以及山东夏季降水异常时大气环流、热带对流活动的异常特征,结果表明:山东夏季降水总体呈现由鲁南向鲁北递减的趋热,空间分布具有一致性。涝年的前期冬季极涡向东扩展,东亚大槽和东亚冬季风较常年偏强;旱年前期冬季极涡偏向西半球,东亚大槽和东亚冬季风较常年偏弱。涝年热带印度洋、南海至西太平洋地区对流增强,热带东太平洋地区对流减弱,西太平洋副热带高压位置偏北;旱年则相反。涝年前期冬季由于冬季风较强及低纬度地区冷涌活跃,加强了低纬地区的对流活动,增强了Hadely环流,加强了能量及水汽向中、高纬度地区的输运,从而引起山东降水增多。  相似文献   

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