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1.
统计降尺度法对未来区域气候变化情景预估的研究进展   总被引:65,自引:5,他引:65  
由于迄今为止大部分的海气耦合气候模式(AOGCM)的空间分辨率还较低,很难对区域尺度的气候变化情景做合理的预测,降尺度法已广泛用于弥补AOGCM在这方面的不足。简要介绍了3种常用的降尺度法:动力降尺度法、统计降尺度法和统计与动力相结合的降尺度法;系统论述了统计降尺度方法的理论和应用的研究进展,其中包括:统计降尺度法的基本假设,统计降尺度法的优缺点,以及常用的3种统计降尺度法;还论述了用统计降尺度法预估未来气候情景的一般步骤,以及方差放大技术在统计降尺度中的应用;同时还强调了统计降尺度方法和动力降尺度方法比较研究在统计降尺度研究中的重要性;最后指出统计与动力相结合的降尺度方法将成为降尺度技术的重要发展方向。  相似文献   

2.
李佳瑞  牛自耕  冯岚  姚瑞  陈鑫鑫 《地球科学》2020,45(6):1887-1904
为研究长江和黄河流域极端气温的变化特征,对耦合模式比较计划第5阶段22个大气环流模式数据进行精度评估、Delta降尺度并计算16个极端气温指标,采用可靠性集合平均方法对两流域历史和未来的极端气温进行预估.结果表明:除四川盆地外,两流域的观测值与REA(ensemble reliability average)值在空间上具有较好一致性;未来三个时期(2020s、2050s、2080s),典型浓度路径(Representative Concentration Pathways,RCP)4.5情景下指标变化趋势依次递减,RCP8.5情景下变化趋势逐渐递增;RCP4.5和RCP8.5情景下指标年际变化在21世纪40年代之前是相似的,但之后变化趋势差异增加;两流域的大多数指标呈现上升趋势,冬季趋势相较于其他季节更显著;两流域之间冷极端指标的差异大于暖极端指标.总的来说,两流域的暖极端事件将更加严重.   相似文献   

3.
未来不同排放情景下气候变化预估研究进展   总被引:11,自引:1,他引:10  
概述未来不同排放情景下气候变化预估研究的主要进展。首先,对用于开展气候变化预估研究的不同复杂程度的气候系统及地球系统模式及其模拟能力进行了简要的介绍,指出虽然目前气候系统模式在很多方面存在着较大的不确定性,但大体说来可提供当前气候状况的可信模拟结果;进而介绍了IPCC不同的排放情景,以及不同排放情景下全球与东亚区域气候变化预估的主要结果。研究表明,尽管不同模式对不同情景下未来气候变化预估的结果存有差异,但对未来50~100年全球气候变化的模拟大体一致,即全球将持续增温、降水出现区域性增加。在此基础上,概述了全球气候模式模拟结果的区域化技术,并重点介绍了降尺度方法的分类与应用。同时对气候变化预估的不确定性进行了讨论。最后,对气候变化预估的研究前景进行了展望,并讨论了未来我国气候变化预估研究的重点发展方向。  相似文献   

4.
区域海气耦合模式研究进展   总被引:4,自引:0,他引:4  
区域海气耦合模式是进行区域尺度气候模拟和预估的重要工具,近年来得到快速发展。在阐述区域海气耦合过程重要性的基础上,对当今国内外主要的区域海气耦合模式研究进展进行总结,归纳区域海气耦合模拟所关注的核心科学问题,介绍区域海气耦合模式的技术特点。发展基于耦合器且无通量订正的区域海气耦合模式是区域海气耦合模式发展的主流方向。当前国际上区域海气耦合模拟所关注的主要科学问题,包括区域海气耦合模式对区域海洋过程的模拟、区域海气耦合模式对区域大气过程的模拟、亚洲—西北太平洋季风模拟及其耦合模拟海表面温度(SST)冷偏差问题、热带海气相互作用过程模拟,以及区域海气耦合模式对未来气候变化的预估研究等。对上述5个方面科学问题的研究思路和主要科学结论进行总结,重点关注针对亚洲—西北太平洋季风区的区域海气耦合模拟研究,对区域海气耦合过程改进亚洲—西北太平洋地区降水模拟的物理机制,及在该区域模拟SST冷偏差的成因亦进行相关归纳和总结。最后提出当前区域海气耦合模拟亟待解决的关键科学问题。  相似文献   

5.
空间尺度转换是近年来区域生态水文研究领域的一个基本研究问题。其需要主要是源于模型的输入数据与所能提供的数据空间尺度不一致以及模型所代表的地表过程空间尺度与所观测的地表过程空间尺度不吻合。综述了目前区域生态水文模拟研究中常用的空间尺度转换研究方法,包括向上尺度转换和向下尺度转换。详细论述了2种向下尺度转换方法: 统计学经验模型和动态模型。前者是通过将GCM大尺度数据与长期的历史观测数据比较从而建立统计学相关模型, 然后利用这个统计学经验模型进行向下的空间尺度转换. 然而动态模型并不直接对GCM数据进行向下尺度的转换,而是对与GCM进行动态耦合的区域气候模型(RCM) 的输出数据进行空间尺度转换. 通常后者所获得的数据精度要比前者高,但是一个主要缺点就是并不是全球所有的研究区域都有对应的RCM。还详细论述了2种向上尺度转换方法: 统计学经验模型和斑块模型。前者是建立一个能代表小尺度信息在大尺度上分布的密度分布概率函数, 然后利用这个函数在所需的大尺度上进行积分而求得大尺度所需的信息。而后者是根据相似性最大化原则将大尺度划分为若干个可操作的小尺度斑块,然后将计算的每个小尺度斑块的信息平均化得到大尺度所需的信息。通常在计算这种斑块化的小尺度信息的时候,对每个小尺度也会采用统计学经验模型来计算代表整个斑块小尺度的信息。建议用斑块模型与统计学经验模型相集合的方法来实现向上的空间尺度转换  相似文献   

6.
The global mean temperature during the recent decade (2007-2016) has increased above 1 ℃ relative to the pre-industrial period (1861-1890). The climate change and impact under 1.5 ℃ warming in the future have become a great concern in global society. Temperature projections, especially in regional scale, show great uncertainty depending on used climate models. Taking advantage of pattern scaling technique and observed temperature changes during 1951-2005, we tried to project the temperature changes globally under 1.5 ℃ threshold relative to current climate state, i.e. about 1 ℃ warming around 2007-2016. The projections of 21 climate models from the Coupled Model Intercomparison Project - Phase 5 under four Representative Concentration Pathways (RCP2.6, RC4.5, RCP6.0 and RCP8.5) were used to correct the assumptions in pattern scaling. Results showed that the geographical distribution and warming amplitude of surface air temperature changes under 1.5 ℃ threshold are similar in the four scenarios. Warming over most of the land would be above 0.6 ℃, 0.3 ℃ warmer than ocean. The Northern Hemisphere would be 0.2 ℃ warmer than the Southern Hemisphere. The temperature over China region will increase by 0.7 ℃. The warming in the Northern and Central China under RCP2.6 was obviously higher than that in the other scenarios. Ignoring the impact of correction method, uncertainty in temperature projection based on pattern scaling was much smaller than that in climate models, both in global and regional scales.  相似文献   

7.
吴斌  王赛  王文祥  安永会 《中国地质》2019,46(2):369-380
基于物理过程的地表-地下水耦合模型能全面、系统地刻画流域水循环过程,并为水资源管理提供详细信息。同时,未来水资源的变化趋势受到气候变化的影响显著,在未来气候情景下水资源如何变化将影响水资源管理措施。本文以黑河中游盆地为例,基于地表水-地下水耦合模型GSFLOW,评估区域水资源对气候变化的响应,预测未来气候情景(CMIP5)下区域水资源变化趋势,为西北干旱区水资源管理提供参考。研究表明:(1)GSFLOW模型能很好地模拟黑河中游盆地复杂的水循环过程。(2)在中等排放强度(RCP4.5)下,平均每年降水上升0.6 mm,温度上升0.03℃,地下水储量减少0.38亿m3;在高排放强度(RCP8.5)下,降水上升0.8 mm,温度上升0.06℃,地下水储量减少0.34亿m3。  相似文献   

8.
区域性暴雨事件由于影响范围大、持续时间长,更易引发严重洪涝灾害,对经济社会可持续发展构成严重威胁。因此,预估区域性暴雨事件的未来变化对于气候变化适应和灾害风险管理意义重大。本文基于区域气候模式RegCM4对4个全球气候模式的动力降尺度模拟,利用“追踪式”客观识别方法,对我国区域性暴雨进行了识别,并从发生频次、持续时间、平均降水量、平均影响范围和综合强度5个方面预估了其在RCP4.5情景下的未来变化。多模式预估结果表明,我国平均区域性暴雨事件的发生频次、持续时间、平均降水量、平均影响范围和综合强度到21世纪末均呈不同程度的上升趋势。与1986—2005年相比,无论在21世纪中期(2046—2065年)还是末期(2080—2099年),位于“低值区”的事件出现频率减少,而位于“高值区”的事件出现频率增加。轻度区域性暴雨事件发生频次将减少,而中度、重度和严重的区域性暴雨事件发生频次将增加。在空间分布上,区域性暴雨事件的发生频次、持续时间和降水量均在我国东部区域大范围增加,并且三者增幅的空间分布型态较为一致。增加最显著的区域主要位于长江中下游、江南和华南地区,而且到21世纪末期的增加幅度大于中期。  相似文献   

9.
《Comptes Rendus Geoscience》2003,335(6-7):535-543
The credibility of models simulating climate change over different continental regions is based upon analysis of the dispersion of results of simulation ensembles. This analysis, associated to the analysis of model biases, shows that there is no systematic link between these biases and the simulated climate changes. The reduction of uncertainties on the scales of different regions implies a better definition of anthropogenic emission scenarios and the development of regional climate models. Climate change detection on regional scales appears to be a promising way of reinforcing the reliability of these models and scenarios. To cite this article: S. Planton, C. R. Geoscience 335 (2003).  相似文献   

10.
Climate models have been used as an important tool to quantitatively study climate variability and to predict or project climate change in the future. One of the most important pathways for development and improvement of climate system model is to increase the spatial resolution and improve the corresponding physical parameterization schemes, which is very important for understanding climate change and improving climate prediction skill. Based on a brief introduction of the importance of developing high-resolution global climate system model, a review of recent progresses in the development and application of high-resolution models was summarized. The paper also introduced the current situation and problems for the development and evaluation of high-resolution models and focused on the key scientific and technical bottlenecks which restrict the development of high-resolution models, including the development of dynamic framework of the high-resolution ocean and atmospheric models and massive high performance parallel computing, the improvement of the sub-grid physical parameterization scheme, and mesoscale air-sea interaction. Meanwhile, the scientific objects and experiments design of the international high resolution climate model intercomparison project (HiResMIP) of the coupled model intercomparison project phase 6 (CMIP6) was introduced. Finally, we prospect the future developments and evaluations of high-resolution climate models in China was proposed.  相似文献   

11.
Observed and projected changes in climate have serious socio-economic implications for the Caribbean islands. This article attempts to present basic climate change information—based on previous studies, available observations and climate model simulations—at spatial scales relevant for islands in the Caribbean. We use the General Circulation Model (GCM) data included in the Coupled Model Intercomparison Project phase 3 (CMIP3) and the UK Hadley Centre regional climate model (RCM) data to provide both present-day and scenario-based future information on precipitation and temperature for individual island states. Gridded station observations and satellite data are used to study 20th century climate and to assess the performance of climate models. With main focus on precipitation, we also discuss factors such as sea surface temperature, sea level pressure and winds that affect seasonal variations in precipitation. The CMIP3 ensemble mean and the RCM successfully capture the large-scale atmospheric circulation features in the region, but show difficulty in capturing the characteristic bimodal seasonal cycle of precipitation. Future drying during the wet season in this region under climate change scenarios has been noted in previous studies, but the magnitude of change is highly uncertain in both GCM and RCM simulations. The projected decrease is more prominent in the early wet season erasing the mid-summer drought feature in the western Caribbean. The RCM simulations show improvements over the GCM mainly due to better representation of landmass, but its performance is critically dependent on the driving GCM. This study highlights the need for high-resolution observations and ensemble of climate model simulations to fully understand climate change and its impacts on small islands in the Caribbean.  相似文献   

12.
CMIP5多模式集合对南亚印度河流域气候变化的模拟与预估   总被引:1,自引:0,他引:1  
利用印度河流域CRU、APHRODITE和CMIP5多模式逐月气温、降水格点数据集, 评估了CMIP5模式集合对印度河流域气候变化的模拟能力; 对多模式集合数据进行了偏差订正, 并对流域2046-2065年和2081-2100年气候变化进行了预估. 结果表明: 气候模式对流域年平均气温时间变化和空间分布特征有着较强的模拟能力, 时间空间相关系数均达到了0.01的显著性水平, 尤其对夏季气温的模拟要优于其他季节; 模式对降水的季节性波动也有着较好的模拟能力. 偏差订正后的预估结果表明, RCP2.6、4.5、8.5情景下, 相对于基准期(1986-2005年), 21世纪中期(2046-2065年)和末期(2081-2100年)整个流域年平均气温都有一定上升, 且流域上游增幅较大; 除RCP4.5情景下21世纪中期流域有弱减少趋势外, 年降水量都将有一定增长. 未来夏季持续升温将引起源区冰川的进一步消融, 春季降水对于中高海拔地区水资源的贡献将减弱; 流域北部高海拔区域冬季降水的增加有助冰川累积和上游水资源的增加, 东部高海拔区域冬季降水的减少会减少上游水资源. 两时期夏季降水都有一定的增长, 洪涝的发生风险加大; 流域暖事件和强降水事件也将可能增多.  相似文献   

13.
《Comptes Rendus Geoscience》2008,340(9-10):564-574
An overview of the expected change of climate extremes during this century due to greenhouse gases and aerosol anthropogenic emissions is presented. The most commonly used methodologies rely on the dynamical or statistical downscaling of climate projections, performed with coupled atmosphere–ocean general circulation models. Either of dynamical or of statistical type, downscaling methods present strengths and weaknesses, but neither their validation on present climate conditions, nor their potential ability to project the impact of climate change on extreme event statistics allows one to give a specific advantage to one of the two types. The results synthesized in the last IPCC report and more recent studies underline a convergence for a very likely increase in heat wave episodes over land surfaces, linked to the mean warming and the increase in temperature variability. In addition, the number of days of frost should decrease and the growing season length should increase. The projected increase in heavy precipitation events appears also as very likely over most areas and also seems linked to a change in the shape of the precipitation intensity distribution. The global trends for drought duration are less consistent between models and downscaling methodologies, due to their regional variability. The change of wind-related extremes is also regionally dependent, and associated to a poleward displacement of the midlatitude storm tracks. The specific study of extreme events over France reveals the high sensitivity of some statistics of climate extremes at the decadal time scale as a consequence of regional climate internal variability.  相似文献   

14.
Quantitative knowledge about the impacts of climate change on the hydrological regime is essential in order to achieve meaningful insights to address various adverse consequences related to water such as water scarcity, flooding, drought, etc. General circulation models (GCMs) have been developed to simulate the present climate and to predict future climatic change. But, the coarse resolution of their outputs is inefficient to resolve significant regional scale features for assessing the effects of climate change on the hydrological regimes, thus restricting their direct implementation in hydrological models. This article reviews hierarchy and development of climate models from the early times, importance and inter-comparison of downscaling techniques and development of hydrological models. Also recent research developments regarding the evaluation of climate change impact on the hydrological regime have been discussed. The article also provides some suggestions to improve the effectiveness of modelling approaches involved in the assessment of climate change impact on hydrological regime.  相似文献   

15.
李正最  周慧  张莉  毛德华 《水文》2018,38(3):29-36
流域水资源演化与气候变化和人类活动紧密相关,气候变化与人类活动的加剧极大地改变了流域水文循环。通过相似性和独立性分析,从CMIP5公开发布的47个气候模式中筛选出5个代表性气候模式,然后计算未来高、中、低3种不同排放情景下的气温和降水,构造符合研究区产汇流特性的水文模型,计算洞庭湖流域水资源量并分析其演化规律。结果表明:不论温室气体排放水平如何,洞庭湖流域水资源量在未来60a呈现增加态势,汛期水量增加概率加大,而在高排放情景下枯季水资源量表现为减少趋势;未来洞庭湖流域水资源的时程分配将更趋不均匀化,而温室气体的持续排放将使其变化加剧。  相似文献   

16.
This paper proposes a decision support system for Yamchi reservoir operation in semi-arid region of Iran. The paper consists of the following steps: Firstly, the potential impacts of climate change on the streamflow are predicted. The study then presents the projections of future changes in temperature and precipitation under A2 scenario using the LARS-WG downscaling model and under RCP2.6, RCP4.5, and RCP8.5 using the statistical downscaling model (SDSM) in the northwestern of Iran. To do so, a general circulation model of HadCM3 is downscaled by using the LARS-WG model. As a result, the average temperature, for the horizon 2030 (2011–2030), will increase by 0.77 °C and precipitation will decrease by 11 mm. Secondly, the downscaled variables are used as input to the artificial neural network to investigate the possible impact of climate change on the runoffs. Thirdly, the system dynamics model is employed to model different scenarios for reservoir operation using the Vensim software. System dynamics is an effective approach for understanding the behavior of complex systems. Simulation results demonstrate that the water shortage in different sectors (including agriculture, domestic, industry, and environmental users) will be enormously increased in the case of business-as-usual strategy. In this research, by providing innovative management strategies, including deficit irrigation, the vulnerability of reservoir operation is reduced. The methodology is evaluated by using different modeling tests which then motivates using the methodology for other arid/semi-arid regions.  相似文献   

17.
A three-dimensional groundwater flow model was implemented to quantify the temporal variation of shallow groundwater levels in response to combined climate and water-diversion scenarios over the next 40 years (2011–2050) in Beijing-Tianjin-Hebei (Jing-Jin-Ji) Plain, China. Groundwater plays a key role in the water supply, but the Jing-Jin-Ji Plain is facing a water crisis. Groundwater levels have declined continuously over the last five decades (1961–2010) due to extensive pumping and climate change, which has resulted in decreased recharge. The implementation of the South-to-North Water Diversion Project (SNWDP) will provide an opportunity to restore the groundwater resources. The response of groundwater levels to combined climate and water-diversion scenarios has been quantified using a groundwater flow model. The impacts of climate change were based on the World Climate Research Programme’s (WCRP’s) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset for future high (A2), medium (A1B), and low (B1) greenhouse gas scenarios; precipitation data from CMIP3 were applied in the model. The results show that climate change will slow the rate of decrease of the shallow groundwater levels under three climate-change scenarios over the next 40 years compared to the baseline scenario; however, the shallow groundwater levels will rise significantly (maximum of 6.71 m) when considering scenarios that combine climate change and restrictions on groundwater exploitation. Restrictions on groundwater exploitation for water resource management are imperative to control the decline of levels in the Jing-Jin-Ji area.  相似文献   

18.
气候影响评价中统计降尺度若干问题的探讨   总被引:14,自引:0,他引:14       下载免费PDF全文
全球气候模式是目前研究未来气候变化的重要工具,然而其较低的空间分辨率使其难以被直接用于区域尺度的气候影响评价中,统计降尺度常常被用于弥补这一不足。对统计降尺度的3种主要方法:转化函数法,天气分型法和天气发生器法的最新研究进展进行了归纳;论述了统计降尺度中的各种不确定性;总结了统计降尺度在中国的发展和应用。统计降尺度与动力降尺度的比较和结合、极端事件的降尺度以及统计降尺度的不确定性将成为未来的主要发展方向。  相似文献   

19.
《Atmósfera》2014,27(2):117-140
This work focuses on evaluating the ability of the MM5 regional model to represent the basic features of present climate over South America. The spatial distribution of seasonal means and the interannual variability, as well as annual cycles for precipitation and near-surface temperature have been evaluated. The internal variability has also been investigated. The analysis has two objectives: one of them is to quantify the dynamic downscaling ability to represent the current climate and the other is to identify critical aspects of the regional climate model in South America in order to interpret the reliability of future projections for the end of the twenty-first century in the A2 scenario of the IPCC Special Report on Emissions Scenarios. In general, the MM5 model is able to reproduce adequately the main general features, seasonal cycle and year-to-year variability of near surface variables over South America. The spatial distribution of temperature is well represented, but some systematic errors were identified, such as an overestimation in central and northern Argentina and an underestimation in the mountainous regions throughout the year. The general structure of precipitation is also well captured by the regional model, although it overestimates the precipitation in the Andean region (specifically in central and southern Chile) in all seasons and underestimates the rainfall over tropical latitudes. The annual cycle of precipitation is adequately represented in the subregions analyzed, but its representation is better over La Plata basin (LPB), Cuyo (CU) and southeastern Pampas (SEP). The annual cycle of mean temperature is well represented, too. The model systematically overestimates the interannual variability of temperature and underestimates the interannual variability of precipitation. From the analyses of interannual and internal variability, as well as the biases, it can be concluded that regardless the season, the simulated precipitation is reliable at subtropical latitudes, Uruguay, southern Brazil and east-central of Argentina, but is less reliable over areas of complex topography. For temperature, the regional model is reliable over subtropical latitudes, Uruguay and the south of Brazil only during winter, but it is less reliable or it is even in the limit of reliability over central and southern Chile all along the year. Therefore, it is concluded that the MM5 model is a useful tool for the generation of regional climate change scenarios and for the evaluation of regional climate change scenarios over southern South America.  相似文献   

20.
Built environment, which includes some major investments in Oman, has been designed based on historical data and do not incorporate the climate change effects. This study estimates potential variations of the hourly annual maximum rainfall (AMR) in the future in Salalah, Oman. Of the five climate models, two were selected based on their ability to simulate local rainfall characteristics. A two-stage downscaling–disaggregation approach was applied. In the first stage, daily rainfall projections in 2040–2059 and 2080–2099 periods from MRI-CGCM3 and CNRM-CM5 models based on two Representative Concentration Pathways (RCP8.5 and RCP4.5) were downscaled to the local daily scale using a stochastic downscaling software (LARS-WG5.5). In the second stage, the stochastically downscaled daily rainfall time series were disaggregated using K-nearest neighbour technique into hourly series. The AMRs, extracted from 20 years of projections for four scenarios and two future periods were then fitted with the generalized extreme value distribution to obtain the rainfall intensity–frequency relationship. These results were compared with a similar relationship developed for the AMRs in baseline period. The results show that the reduction in number of wet days and increases in total rainfall will collectively intensify the future rainfall regime. A marked difference between future and historical intensity–frequency relationships was found with greater changes estimated for higher return periods. Furthermore, intensification of rainfall regime was projected to be stronger towards the end of the twenty-first century.  相似文献   

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