共查询到18条相似文献，搜索用时 93 毫秒
1.
CSU－RAMS模式在区域气侯模拟中的应用 总被引：1，自引：0，他引：1
将ＣＳＵ－ＲＡＭＳ（中尺度）数值模式改造成“区域气候数值模式”以及进行区域气候数值模拟的试验研究。说明将有限区域中尺度数值模式与ＧＣＭ模式嵌套应用到区域气候数值模拟研究上能够取得有意义的结果。它能在一定程度上改善ＧＣＭ模式的不足。可以更为细致地描述大气环流的变化特征,是了解区域气候变化的有效方法之一。 相似文献
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CSU－RAMS模式在区域气侯模拟中的应用 总被引：3，自引：0，他引：3
将ＣＳＵ－ＲＡＭＳ（中尺度）数值模式改造成“区域气候数值模式”以及进行区域气候数值模拟的试验研究。说明将有限区域中尺度数值模式与ＧＣＭ模式嵌套区域气候数值模拟研究上能够取得有意义的结果,它能在一定程度上改善ＧＣＭ模式的不足,可以更为细致地描述大气环流的变化特征,是了解区域气候变化的有效方法之一。 相似文献
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ＴＥＭＰＥＲＡＴＵＲＥ－ＭＥＡＳＵＲＩＮＧＲＡＤＩＯ－ＡＣＯＵＳＴＩＣＳＯＵＮＤＩＮＧＳＹＳＴＥＭ（ＲＡＳＳ）￥ＬｉＪｉａｎｇｕｏ（李建国），ＷａｎｇＰｉｎｇ（王坪）ａｎｄＭｅｎｇＺｈａｏｌｉｎ（孟昭林）ＴＥＭＰＥＲＡＴＵＲＥ－ＭＥＡＳＵＲＩＮＧＲＡ... 相似文献
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对北京地区一次局地灾害性暴雨的数值模拟分析 总被引：3，自引：0，他引：3
利用美国国家大气研究中心（ＮＣＡＲ）和美国宾州大学（ＰＳＵ）联合研制的中尺度非静力模式ＭＭ５（Ｖ．２），有用三重网格双向嵌套技术，对北京延庆地区的一次暴雨过程进行了数值模拟，并探讨利用中尺度非静力模式ＭＭ５对重点城市进行短期天气预报的方法。结果表明：ＭＭ５模式能够预报出实际发生的β中尺度降水，在有利的大尺度环境下，暴雨的局地分布特征受中尺度条件制征。在适当的地形，水汽和能量条件下，由地形扰动而形成 相似文献
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《中国气象科学研究院年报》1994,(1)
ＳＴＵＤＹＯＦＯＺＯＮＥＡＮＤＩＴＳＰＲＥＣＵＲＳＯＲＳＡＴＬＩＮ’ＡＮＲＥＧＩＯＮＡＬＢＡＣＫＧＲＯＵＮＤＳＴＡＴＩＯＮＤＵＲＩＮＧＴＨＥＰＥＭ－ＷＥＳＴ－ＡＥＸＰＥＲＩＭＥＮＴＬｕｏＣｈａｏ（罗超），ｍｎｇＧｕｏａｎ（丁国安），Ｔａｎｇｊｉｅ（汤... 相似文献
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新一代Penn State／NCAR中尺度数值模式MM5 总被引：2，自引：1，他引：2
新一代ＰｅｎｎＳｔａｔｅ／ＮＣＡＲ中尺度数值模式ＭＭ５王鹏云（中国气象科学研究院）美国宾州大学（ＰｅｎｎＳｔａｔｅＵｎｉｖｅｒｓｉｔｙ）和国家大气研究中心（ＮＣＡＲ），从七十年代中期起研制的ＰｅｎｎＳｔａｔｅ／ＮＣＡＲ中尺度数值模式ＭＭ４（早期为ＭＭ... 相似文献
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ＴＨＥＣＨＡＮＧＥＳＡＮＤＣＬＩＭＡＴＩＣＪＵＭＰＳＩＮＦＥＲＲＥＤＦＲＯＭＴＨＥＡＧＲＩＣＵＬＴＵＲＡＬＤＲＹＮＥＳＳＡＮＤＷＥＴＮＥＳＳＩＮＴＨＥＣＨＡＮＧＪＩＡＮＧ－ＨＵＡＩＨＥＶＡＬＬＥＹＦＯＲＴＨＥＬＡＳＴ５００ＹＥＡＲＳＸｕｅＨｅｎｇ（薛... 相似文献
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王馥棠 《中国气象科学研究院年报》1996,(1)
ＰＲＯＧＲＥＳＳＥＳＯＦＴＨＥＳＴＵＤＹＯＮＩＭＰＡＣＴＳＯＦＣＬＩＭＡＴＥＣＨＡＮＧＥＯＮＡＧＲＩＣＵＬＴＵＲＡＬＰＲＯＤＵＣＴＩＯＮＩＮＣＨＩＮＡ￥ＷａｎｇＦｕｔａｎｇ（王馥棠）ＰＲＯＧＲＥＳＳＥＳＯＦＴＨＥＳＴＵＤＹＯＮＩＭＰＡＣＴＳＯＦＣＬＩ... 相似文献
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GROUND-BASED MEASUREMENTS OF COLUMN ABUNDANCE OF OZONE AN 总被引：1，自引：0，他引：1
ＧＲＯＵＮＤ－ＢＡＳＥＤＭＥＡＳＵＲＥＭＥＮＴＳＯＦＣＯＬＵＭＮＡＢＵＮＤＡＮＣＥＯＦＯＺＯＮＥＡＮＤＵＶ－ＢＲＡＤＩＡＴＩＯＮＯＶＥＲＺＨＯＮＧＳＨＡＮＳＴＡＴＩＯＮ，ＡＮＴＡＲＣＴＩＣＡＦＯＲＴＨＥ１９９３“ＯＺＯＮＥＨＯＬＥ”ＺｈｏｕＸｉｕｊｉ... 相似文献
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嵌套域大小对区域气候模式模拟效果的影响 总被引：3，自引：3，他引：3
This paper presents a numerical study on the 1998 summer rainfall over the Yangtze River valley in central and eastern China, addressing effect of a nested area size on simulations in terms of the technique of nesting a regional climate model (RCM) upon a general circulation model (GCM). Evidence suggests that the size exerts greater impacts upon regional climate of the country, revealing that a larger nested size is su perior to a small one for simulation in mitigating errors of GCM-provided lateral boundary forcing. Also,simulations show that the RCM should incorporate regions of climate systems of great importance into study and a low-resolution GCM yields more pronounced errors as a rule when used in the research of the Tibetan Plateau, and, in contrast, our PσRCM can do a good job in describing the plateau′s role in a more realistic and accurate way. It is for this reason that the tableland should be included in the nested area when the RCM is employed to investigate the regional climate. Our PσRCM nesting upon a GCM reaches morerealistic results compared to a single GCM used. 相似文献
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区域和全球模式的嵌套技术
及其长期积分试验 总被引：7，自引：0，他引：7
将区域模式嵌入澳大利亚CSIRO (Commonwealth Scientific and Industrial Research Organization）的全球模式中,并将其应用于区域模式的长期气候积分试验。模拟结果表明,当区域与全球模式嵌套时,边界吸收问题十分重要,由区域模式得到的高分辨率大尺度环流形式在边界上必须与全球模式提供的强迫一致,同时区域模式必须给出基于模式内部物理过程产生的高分辨信息。因此,在嵌套过程中,必须仔细考虑缓冲区的设置,使大尺度强迫与中尺度特征充分混合,既保持区域模式内外的一致性,又使区域内部中尺度强迫物理过程得到充分发展。将区域模式与澳大利亚CSIRO的9层21波三角形截断谱模式嵌套后,完成了连续3年的区域气候模式积分。模拟结果表明,由于区域模式较好地刻划了区域尺度的地形、下垫面和海岸线分布等的细节特征,模拟的区域气候特征比全球模式有较大的改进,尤其是对季风降水的模拟,区域模式明显改进了全球模式的模拟结果。 相似文献
13.
采用数值模式方法对我国华东地区进行月尺度短期气候预测。预测框架由改进的低分辨率全球环流模式T63 L9嵌套并入了水文模型VXM的区域气候模式RegCM3构成,根据嵌套气候模式的积分结果,经剔除系统误差后制作短期气候预报。本文利用国家气候中心的评分方法对2003、2004两年的降水和地表气温回报结果作了评估;还将本系统的预报结果与CMAP降水资料、NMC温度资料及全国160站的观测资料进行了对比。结果表明,该系统可以比较稳定地对我国华东地区的降水和温度进行月尺度预测。 相似文献
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Anji Seth Sara A. Rauscher Suzana J. Camargo Jian-Hua Qian J. S. Pal 《Climate Dynamics》2007,28(5):461-480
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
16.
Stefan Hagemann Holger Göttel Daniela Jacob Philip Lorenz Erich Roeckner 《Climate Dynamics》2009,32(6):767-781
For the fourth assessment report of the Intergovernmental Panel on Climate Change (IPCC), the recent version of the coupled
atmosphere/ocean general circulation model (GCM) of the Max Planck Institute for Meteorology has been used to conduct an ensemble
of transient climate simulations These simulations comprise three control simulations for the past century covering the period
1860–2000, and nine simulations for the future climate (2001–2100) using greenhouse gas (GHG) and aerosol concentrations according
to the three IPCC scenarios B1, A1B and A2. For each scenario three simulations were performed. The global simulations were
dynamically downscaled over Europe using the regional climate model (RCM) REMO at 0.44° horizontal resolution (about 50 km),
whereas the physics packages of the GCM and RCM largely agree. The regional simulations comprise the three control simulations
(1950–2000), the three A1B simulations and one simulation for B1 as well as for A2 (2001–2100). In our study we concentrate
on the climate change signals in the hydrological cycle and the 2 m temperature by comparing the mean projected climate at
the end of the twenty-first century (2071–2100) to a control period representing current climate (1961–1990). The robustness
of the climate change signal projected by the GCM and RCM is analysed focussing on the large European catchments of Baltic
Sea (land only), Danube and Rhine. In this respect, a robust climate change signal designates a projected change that sticks
out of the noise of natural climate variability. Catchments and seasons are identified where the climate change signal in
the components of the hydrological cycle is robust, and where this signal has a larger uncertainty. Notable differences in
the robustness of the climate change signals between the GCM and RCM simulations are related to a stronger warming projected
by the GCM in the winter over the Baltic Sea catchment and in the summer over the Danube and Rhine catchments. Our results
indicate that the main explanation for these differences is that the finer resolution of the RCM leads to a better representation
of local scale processes at the surface that feed back to the atmosphere, i.e. an improved representation of the land sea
contrast and related moisture transport processes over the Baltic Sea catchment, and an improved representation of soil moisture
feedbacks to the atmosphere over the Danube and Rhine catchments. 相似文献
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The simulation of hydrological consequences of climate change has received increasing attention from the hydrology and land-surface modelling communities. There have been many studies of climate-change effects on hydrology and water resources which usually consist of three steps： （1） use of general circulation models （GCMs） to provide future global climate scenarios under the effect of increasing greenhouse gases, （2） use of downscaling techniques （both nested regional climate models, RCMs, and statistical methods） for ＂downscaling＂ the GCM output to the scales compatible with hydrological models, and （3） use of hydrologic models to simulate the effects of climate change on hydrological regimes at various scales. Great progress has been achieved in all three steps during the past few years, however, large uncertainties still exist in every stage of such study. This paper first reviews the present achievements in this field and then discusses the challenges for future studies of the hydrological impacts of climate change. 相似文献
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In this paper,we present the results simulated with the Chinese regional climate model nestedin NCAR CCM1 GCM through one-way nesting approach.The model has been run for 14 months.The NCAR CCM1(1992)is at rhomboidal truncation(R15),while the horizontal resolution ofthe Chinese regional climate model is 100 km.It is found that the Chinese regional climate modelhas some advantages in simulating the surface air temperature and precipitation over the generalclimate model,because of the improved land surface parameterization. 相似文献