西北植被覆盖对我国区域气候变化影响的数值模拟

使用美国ＮＣＡＲ区域气候模式ＲｅｇＣＭ２研究了西北植被覆盖面积变化对我国区域气候变化的影响。共设计了三组试验,即西北植被面积扩大试验,控制试验和植被面积缩小试验。     

A NUMERICAL SIMULATION OF THE EFFECT ON CHINESE REGIONAL CLIMATE DUE TO SEASONAL VARIATION OF LAND SURFACE PARAMETERS(PART I)

Sensitivity experiment is an important method to study the effect on regional climate due toseasonal variation of land surface parameters.Using China Regional Climate Model(CRCM)nested in CCM1.we first simulate Chinese regional climate,then two numerical sensitivityexperiments on the effect of vegetation and roughness length are made.The results show that:(1)If the vegetation is replaced with the monthly data of 1997.precipitation and land-surfacetemperature are both changed clearly,precipitation decreases and land surface temperatureincreases,but there is no regional correspondence between these changes.And the results aremuch better than the results when climate average vegetation was used in the CRCM.(2)If theroughness length is replaced with the monthly data of 1997,there is significant change on landsurface temperature,and there is very good regional correspondence between these changes.Butthe effect on precipitation is very small.     

NCAR RegCM2对东亚区域气候的模拟试验

利用垂直、水平高分辨率的区域气候模式ＮＣＡＲＲｅｇＣＭ２（１９９６年５月最新版本）进行了１９９１年夏季（５～８月）东亚洪涝个例的区域气候数值模拟．与观测事实的比较表明，该模式能够较好地再现出该个例我国江淮流域—日本季风降水的主要时空特征和环流形势异常等．也指出了模拟结果的一些不足之处和今后的改进方向     

月尺度区域气候数值预测试验

将９层全球气候谱模式与ＣＳＵ－ＲＡＭＳ中尺度数值式嵌套,进行了月尺度的短期区域气候预测试验。结果表明：ＧＣＭ模式的集合预报能够反映较大尺度的平均环流;在此基础上,被嵌套的ＣＳＵ－ＲＡＭＳ中尺度模式能够得到更为细致的区域环流特征以及它的短期气候尺度的演率。ＧＣＭ模式与中尺度模式相结合的“区域气候数据模式”是了解短期区域气候变化的有效方法之一。     

高分辨嵌套区域气候模式对我国中、东部地区夏季气候的数值模拟

利用引进的ＮＣＡＲ＿ＲｅｇＣＭ２模式在较高分辨率情况下,对我国东部地区夏季气候状况进行了数值模拟。结果表明,模式能够较真实地再现我国东部 地区夏季气候的基本状况。模拟的海平面气压场、５００ｈＰａ高度场、地表温度场以及对流层高、低层风场等的分布形式,都与实测场比较一致。并且较好地模拟出了７月中旬副热带的北跳。模式模拟的夏季降水场分布形式也与观测结果一致。高、低值中心等对应较好,不足之处是模拟中心值测     

东亚区域气候变化的长期数值模拟试验

文中利用NCAR的中尺度模式MM 5V3对东亚地区进行了 10a的长期积分模拟试验 ,并着重对冬、夏两季东亚区域气候变化特征进行了分析。分析结果表明 :(1)模式能够合理地模拟出 10a冬、夏平均的区域气候特征。模拟的 10a冬季平均降水的分布和强度与实际比较一致 ,对夏季降水分布特征的模拟也比较合理 ,但模拟的夏季华北降水偏多。模式对冬季平均场的模拟要优于对夏季的模拟 ;(2 )模式对降水、地面气温年际变率的模拟较为合理 ,模拟的中高层环流、温度场等要素的距平相关系数都比较高 ;(3)模式对不同ElNi no年对东亚区域气候变化影响的模拟能力有所不同 ,模拟的 1992 ,1995年的结果比较合理 ,但对 1998年模拟得不理想 ;(4)MM5V3模式具备一定的区域气候模拟能力。     

区域气候模式对我国中、东部夏季气候的数值模拟

利用高分辨率的区域气候模式RegCM3(ICTP,2004年)对1994、1997、1998年我国夏季(6～8月)气候进行了数值模拟试验,并对比分析了不同积云对流方案对降水场模拟结果的影响。结果表明:该模式能够较真实地描述出我国夏季温度场的主要高、低温中心及月际变化,但模拟的气温场偏低;选择不同的积云对流方案对降水的模拟结果影响很大,采用Grell积云对流方案模拟出的我国夏季降水场最接近观测场,较好地模拟出我国东部地区夏季主要雨带的大致位置及变化,但雨带的位置偏南、中心降水量值偏大;500 hPa位势高度场的模拟结果和实际观测场较为一致,但西风带的位置偏南,相应地副热带高压588位势什米线位置较观测场向东南偏移。     

A regional climate model for the western United States

A numerical approach to modeling climate on a regional scale is developed whereby large-scale weather systems are simulated with a global climate model (GCM) and the GCM output is used to provide the boundary conditions needed for high-resolution mesoscale model simulations over the region of interest. In our example, we use the National Center for Atmospheric Research (NCAR) community climate model (CCM1) and the Pennsylvania State University (PSU)/NCAR Mesoscale Model version 4 (MM4) to apply this approach over the western United States (U.S.). The topography, as resolved by the 500-km mesh of the CCM1, is necessarily highly distorted, but with the 60-km mesh of the MM4 the major mountain ranges are distinguished. To obtain adequate and consistent representations of surface climate, we use the same radiation and land surface treatments in both models, the latter being the recently developed Biosphere-Atmosphere Transfer Scheme (BATS). Our analysis emphasizes the simulation at four CCM1 points surrounding Yucca Mountain, NV, because of the need to determine its climatology prior to certification as a high-level nuclear waste repository.We simulate global climate for three years with CCM1/BATS and describe the resulting January surface climatology over the western U.S. The details of the precipitation patterns are unrealistic because of the smooth topography. Selecting five January CCM1 storms that occur over the western U.S. with a total duration of 20 days for simulation with the MM4, we demonstrate that the mesoscale model provides much improved wintertime precipitation patterns. The storms in MM4 are individually much more realistic than those in CCM1. A simple averaging procedure that infers a mean January rainfall climatology calculated from the 20 days of MM4 simulation is much closer to the observed than is the CCM1 climatology. The soil moisture and subsurface drainage simulated over 3–5 day integration periods of MM4, however, remain strongly dependent on the initial CCM1 soil moisture and thus are less realistic than the rainfall. Adequate simulation of surface soil water may require integrations of the mesoscale model over time periods.The National Center for Atmospheric Research is sponsored by the National Science Foundation. of up to several months or longer.     

一种区域气候预测模式的构建

基于从气候场长期演变提取预测信息的观点 ,从热力学方程和水分平衡方程出发 ,导出了描写地表气温、降水和高度的模式方程组 ,着重考虑了非绝热加热作用和水汽运动形成降水。进一步构造成一个预测区域气候的自忆模式 ,它不同于当今普遍使用的数值嵌套模式。初步计算表明 ,该模式具有较高的预测能力 ,为短期区域气候预测提供了一个实际可行的途径     

ADVANCES IN REGIONAL CLIMATE MODELING SINCE 1990

Due to the close relationship between regional climate anomalies and social-economy andsociety development,climatologists worldwide paid great attention to the regional climateanomalies over a long period of time and the corresponding investigation of regional climatemodeling has made great progresses.Since 1990 the regional climate simulations have made a moresubstantial achievement.This paper will focus on the reliability and uncertainties of regionalclimate modeling by global climate models,the advances on regional climate modeling in the worldand the outlook of regional climate modeling.     

VALIDATION STUDY ON THE EAST ASIAN CLIMATE SIMULATED BY CCM2

The NCAR community climate model was run for 20 years and the simulated East Asianclimate was analyzed and checked against the observation data.It is found that the large-scalefeatures of the East Asia climate were simulated pretty well by the model,though there are stillsome discrepancies between the model output and the observation.The simulated geopotentialheight,wind and temperature fields are very close to the observations.The large scale systemssuch as subtropical high.Mongolia high,Indian low which have important influence on the EastAsia monsoon also simulated pretty well.It is also found that the moisture field is not simulated sowell as those fields mentioned above.The simulated precipitation is rather different from theobservations.These suggest that some physical processes in the CCM2 need to be improved.     

东亚气候的模拟与验证研究

运行ＮＣＡＲ公共气候模式（ＣＣＭ２）２０ａ对东亚气候进行了模拟研究，并对模拟结果进行了检验。检验结果表明，该模式能够较好地描述东亚地区的大尺度气候特征，模拟的高度场、风场、温度场等比较接近实际。对东亚季风气候具有决定性影响的系统，如副热带高压、蒙古高压、印度低压以及西风急流等也模拟得比较好。检验结果还表明，对湿度场的模拟不如高度，温度及风场的模拟，夏季西风急流的模拟不如冬季。ＣＣＭ２对东亚降水的模拟效果较差。这表明ＣＣＭ２在模式物理过程方面（如，对流参数化，垂直输送过程，陆面过程及地形等）需要进行较大的改进。     

SIMULATION OF PRESENT CLIMATE OVER EAST ASIA BY A REGIONAL CLIMATE MODEL

A 15-year simulation of climate over East Asia is conducted with the latest version of a regional climate model RegCM3 nested in one-way mode to the ERA40 Re-analysis data. The performance of themodel in simulating present climate over East Asia and China is investigated. Results show that RegCM3 can reproduce well the atmospheric circulation over East Asia. The simulation of the main distribution patterns of surface air temperature and precipitation over China and their seasonal cycle/evolution, are basically agree with that of the observation. Meanwhile a general cold bias is found in the simulation. AS for the precipitation, the model tends to overestimate the precipitation in northern China while underestimate it in southern China, particularly in winter. In general, the model has better performance in simulating temperature than precipitation.     

IMPACT OF UPLIFT OF TIBETAN PLATEAU AND CHANGE OF LAND-OCEAN DISTRIBUTION ON CLIMATE OVER ASIA

Using an improved CCM1/NCAR climate dynamic model and a combination distribution ofland-ocean-vegetation during 40-50 MaBP,a series of numerical experiments representingdifferent stages of the Tibetan Plateau uplifting and different land-ocean distributions are designedto discuss the influence of the Plateau uplifting and land-ocean distribution variation on Asianclimate change.It is shown that Tibetan Plateau uplifting can firstly increase the precipitation inChina during the period from initial uplift to half height of modern Tibetan Plateau and thendecrease the rainfall during the time from the half height to the present plateau.At the same time.the uplifting can reduce surface air temperature over China.Besides.the effects of the uplift andland-ocean distribution change on the variation of winter and summer Asian monsoon circulationare also discussed.     

IMPACT OF UPLIFT OF TIBETAN PLATEAU AND CHANGE OF LAND-OCEAN DISTRIBUTION ON CLIMATE OVER ASIA*

Using an improved CCM1/NCAR climate dynamic model and a combination distribution of land-ocean-vegetation during 40-50 MaBP,a series of numerical experiments representing different stages of the Tibetan Plateau uplifting and different land-ocean distributions are designed to discuss the influence of the Plateau uplifting and land-ocean distribution variation on Asian climate change.It is shown that Tibetan Plateau uplifting can firstly increase the precipitation in China during the period from initial uplift to half height of modern Tibetan Plateau and then decrease the rainfall during the time from the half height to the present plateau. At the same time.the uplifting can reduce surface air temperature over China.Besides.the effects of the uplift and land-ocean distribution change on the variation of winter and summer Asian monsoon circulation are also discussed.     

REGIONAL CLIMATE CHANGE SCENARIOS UNDER GLOBAL WARMING IN KAZAKHSTAN

The aim of this paper is to report on the development of regional climate change scenarios for Kazakhstan as the result of increasing of CO₂ concentration in the global atmosphere. These scenarios are used in the assessment of climate change impacts on the agricultural, forest and water resources of Kazakhstan. Climate change scenarios for Kazakhstan to assess both long-term (2× CO₂ in 2075) and short-term (2000, 2010 and 2030) impacts were prepared. The climate conditions under increasing CO₂ concentration were estimated from three General Circulation Models (GCM) outputs: the model of the Canadian Climate Center Model (CCCM), the model of the Geophysical Fluid Dynamics Laboratory (GFDL) and the 1% transient version of the GFDL model (GFDL-T). The near-term climate scenarios were obtained using the probabilistic forecast model (PFM) to the year 2010 and the results of GFDL-T for years 2000 and 2030. A baseline scenario representing the current climate conditions based on observations from 1951 to 1980 was developed. The assessment of climate change in Kazakhstan based on the analysis of 100-years observations is given too. As a result of comparisons of the current climate (based on observed climate) the 1× CO₂ output from GCMs showed that the GFDL model best matches the observed climate. The GFDL model suggests that the minimum increase in temperature is expected in winter, when most of the territory is expected to have temperatures 2.3–4.5 °C higher. The maximum (4.3 to 8.2 °C) is expected to be in spring. CCCM scenario estimates an extreme worming above 11 °C in spring months. GFDL-T outputs provide an intermediate scenario.     

二十世纪九十年代区域气候模拟研究进展

由于区域气候异常与社会经济及人类发展有紧密联系,因而长期以来受到各国气候学家的极大重视,与此密切相关的对区域气候的模拟研究也有了较大发展。进入２０世纪９０年代以来,区域气候模拟研究的进展更加明显。文中将着重分析全球气候模式对区域气候模拟的可靠性与不确定性;国内外对区域气候的模拟研究进展;以及对区域气候变化模拟研究的展望。     

High-resolution simulations of global climate, part 2: effects of increased greenhouse cases

We report results from the highest-resolution simulations of global warming yet performed with an atmospheric general circulation model. We compare the climatic response to increased greenhouse gases of the National Center for Atmospheric Research (NCAR) climate model, CCM3, at T42 and T170 resolutions (horizontal grid spacing of 300 and 75 km respectively). All simulations use prescribed sea surface temperatures (SST). Simulations of the climate of 2100 ad use SSTs based on those from NCAR coupled model, Climate System Model (CSM). We find that the global climate sensitivity and large-scale patterns of climate change are similar at T42 and T170. However, there are important regional scale differences that arise due to better representation of topography and other factors at high resolution. Caution should be exercised in interpreting specific features in our results both because we have performed climate simulations using a single atmospheric general circulation model and because we used with prescribed sea surface temperatures rather than interactive ocean and sea-ice models.     

REGIONAL CLIMATE CHANGE SCENARIOS FOR VULNERABILITY AND ADAPTATION ASSESSMENTS

This paper describes the regional climate change scenarios that are recommended for use in the U.S. Country Studies Program (CSP) and evaluates how well four general circulation models (GCMs) simulate current climate over Europe. Under the umbrella of the CSP, 50 countries with varying skills and experience in developing climate change scenarios are assessing vulnerability and adaptation. We considered the use of general circulation models, analogue warm periods, and incremental scenarios as the basis for creating climate change scenarios. We recommended that participants in the CSP use a combination of GCM based scenarios and incremental scenarios. The GCMs, in spite of their many deficiencies, are the best source of information about regional climate change. Incremental scenarios help identify sensitivities to changes in a particular meteorological variable and ensure that a wide range of regional climate change scenarios are considered. We recommend using the period 1951–1980 as baseline climate because it was a relatively stable climate period globally. Average monthly changes from the GCMs and the incremental changes in climate variables are combined with the historical record to produce scenarios. The scenarios do not consider changes in interannual, daily, or subgrid scale variability. Countries participating in the Country Studies Program were encouraged to compare the GCMs' estimates of current climate with actual long-term climate means. In this paper, we compare output of four GCMs (CCCM, GFDL, UKMO, and GISS) with observed climate over Europe by performing a spatial correlation analysis for temperature and precipitation, by statistically comparing spatial patterns averaged climate estimates from the GCMs with observed climate, and by examining how well the models estimate seasonal patterns of temperature and precipitation. In Europe, the GISS and CCCM models best simulate current temperature, whereas the GISS and UK89 models, and the CCCM model, best simulate precipitation in defined northern and southern regions, respectively.     

气候变化对区域经济影响的投入-产出模型研究

利用经济学“投入-产出”分析方法的基本原理，结合气候变化对工业影响的统计模型、对 农业产量影响的计算机模拟系统，建立了气候变化对区域经济影响的投入-产出模型。研究 了当气候变化对工业、农业部门的生产和产品发生影响时，导致的对国民经济其他部门的拉 动需求量和各个部门间的投入-产出流量的变化，从而预测各个部门的国内生产总值和总产 出量，对２０１０，２０２０年的经济发展。综合分析 气候变化对各部门的影响，找出适应区域经济平衡发展的适应对策，为决策者 提供一些参考建议。