近20年来气候模式的发展与模式比较计划

20世纪80年代以来，全球气候观测系统的不断完善、国际大型外场观测试验的成功实施以及高性能计算机的飞速发展，为气候模式的迅猛发展提供了基础和条件。近20年来气候模式的复杂程度和模拟能力得到了显著的提高，目前已成为研究全球和区域气候的形成及变异、气候系统各圈层之间的相互作用以及全球变化等的有力工具。对气候模式（包括大气环流模式、陆面过程模式、海洋环流模式以及区域气候模式）的主要发展进行综合评述，并简要介绍了目前世界上一些主要的模式比较研究计划。     

Research Progress on Physical Parameterization Schemes in Numerical Weather Prediction Models

Atmospheric physics in numerical weather prediction model which predominantly determines the evolution of atmospheric processes is mainly described by physical parameterization. As a result, the development of physical parameterization has been a hot research issue in the area of numerical prediction for a long time. In this regard, the theoretical background and history of physical parameterization schemes for convection, microphysics, and planetary boundary layer, were reviewed in this study. It is suggested that the advance of physical parameterization for the model with high-resolution grid spaces should be considered as a principle issue for numerical model development in the future. Although the gird spaces in current operational numerical models generally decrease toward 10 km owing to the rapid development of high-performance computation, yet most of these schemes are designed for coarse grid spaces. Because of this kind of deficiency, the theoretical basis of these schemes inevitably faces controversy. Directions for development of physical parameterization were also suggested according to the trends of research in numerical prediction.     

湖泊数值模拟研究现状综述

作为陆面过程的重要组成部分,湖泊在天气气候预测中的作用得到了相关研究者的广泛关注,并成为大气科学研究领域中的一个热点.主要综述了当前湖泊模式的基本类型、所考虑的关键物理过程及其参数化方案,并尝试分析了各个方案的优劣以及模拟效果.相关研究表明,现有的湖泊模式对浅湖的模拟比较成熟,而对深湖和冰湖的模拟有待改进.未来的研究亟需构筑适用于大湖、深湖以及冰湖的参数化方案,发展能全面模拟各类型湖泊的数值模式,并且湖泊数值模拟的改进依赖于今后更多高质量的全球湖泊观测结果.     

气候模式中云辐射反馈过程机理的评述

云对地气系统的辐射收支具有十分重要的作用,云辐射参数化是目前气候模式中不确定性的主要来源。云可以通过多种途径对辐射产生影响,形成不同符号、不同量值的反馈机制。研究表明,模式气候对不同的云辐射参数化方案十分敏感。预报云水含量方案的引入,改进了对云辐射过程的模拟,但与观测资料相比仍有差距。一般说来,模式中引入云水的相变和相互作用的云粒子大小产生负反馈,而光学厚度和云量产生的是正反馈。云辐射反馈的净作用其大小和符号因模式而异。云辐射与大尺度天气气候背景之间有着紧密的联系,尤其是海温对辐射平衡有显著影响。最后总结了当前云辐射研究中存在的主要问题,并提出了改进的途径。     

CMIP研究计划的进展及其在中国地区的检验和应用前景

由世界气候研究计划(WCRP)推动制定的CMIP计划,是一整套耦合大气环流气候模式的比较计划.该计划旨在通过比较模式的模拟能力来评价模式的好坏,促进气候模式的发展;同时也为生态、水文、社会经济诸学科在全球变化背景下预估未来环境变化提供可靠的科学依据.CMIP计划从AMIP开始,经历了CMIP1、CMIP2、CMIP3几个阶段的发展,并已为模式研究提供了迄今为止时间最长、内容最为广泛的模式资料库.尽管模式的模拟结果仍不可避免的存在一些不足,但世界各国纷纷利用该资料库进行模式发展以及与气候变化相关的多学科研究,为预估未来的环境变化提供了不可替代的科学依据.对其作了简要回顾,并对其在中国地区存在的问题和潜在应用前景作了简要论述.     

Progress of the Climate Extension of Weather Research and Forecast(CWRF)Model Application in China

With the development of regional climate simulation, CWRF, the new generation regional climate model, is increasingly used in climate research because of its advanced capability and high skill. The CWRF application in China was introduced from three aspects: its modifications of WRF physics parameterizations, the construction of modeling domain and lateral boundary conditions, the case simulation study and comparison with RegCM, illustrating the accuracy and advantage of CWRF in regional climate simulations. Furthermore, two major CWRF developmental prospects in China were explored: one was to incorporate more accurate physical parameterization schemes and optimized multi-physics ensemble approach; the other was to nest CWRF in GCMs for short-term climate operational forecast and long-term climate change prediction and impact assessment. The status of CWRF applications in China was summarized and the outlook of its further development was pointed out, which provided a meaningful reference for more general research and application.     

The influence of model structure on groundwater recharge rates in climate-change impact studies

Numerous modeling approaches are available to provide insight into the relationship between climate change and groundwater recharge. However, several aspects of how hydrological model choice and structure affect recharge predictions have not been fully explored, unlike the well-established variability of climate model chains—combination of global climate models (GCM) and regional climate models (RCM). Furthermore, the influence on predictions related to subsoil parameterization and the variability of observation data employed during calibration remain unclear. This paper compares and quantifies these different sources of uncertainty in a systematic way. The described numerical experiment is based on a heterogeneous two-dimensional reference model. Four simpler models were calibrated against the output of the reference model, and recharge predictions of both reference and simpler models were compared to evaluate the effect of model structure on climate-change impact studies. The results highlight that model simplification leads to different recharge rates under climate change, especially under extreme conditions, although the different models performed similarly under historical climate conditions. Extreme weather conditions lead to model bias in the predictions and therefore must be considered. Consequently, the chosen calibration strategy is important and, if possible, the calibration data set should include climatic extremes in order to minimise model bias introduced by the calibration. The results strongly suggest that ensembles of climate projections should be coupled with ensembles of hydrogeological models to produce credible predictions of future recharge and with the associated uncertainties.     

白垩纪地球表层系统重大地质事件与温室气候变化研究

国家重点基础研究发展计划（973）项目“白垩纪地球表层系统重大地质事件与温室气候变化”，将以白垩纪与碳循环相关的重大地质事件和温室气候变化的关系为主线，以大洋缺氧事件—富氧作用转变过程和机制研究为突破口，进行海陆相整合研究，重点追溯东特提斯洋和我国大陆地球表层系统重大地质事件的记录，探讨这些事件与碳循环、快速气候变化的正/负反馈机制。项目将充分利用中国大陆发育完好的白垩纪海相、陆相地层及古生物记录，通过松辽盆地白垩系科学钻探全岩芯取样和多学科综合研究的途径，着眼于厘定反映地质事件和气候变化的层位及标志和时间格架，解决高分辨率海、陆相沉积事件的精确对比，分析地层记录中气候标志和古生物类群的地理分布，集中研究陆地和海洋环境对同一事件的响应机制，重溯白垩纪地球表层系统重大地质事件过程及成因，探究陆相烃源岩大规模形成、陆地生物群更替与温室气候变化和碳循环之间的正/负反馈关系和机制等科学问题，为预测全球长时间尺度上的气候变化趋势提供科学依据。     

Development of a model-based high-resolution extreme surface wind climatology for Switzerland

An innovative methodology aimed at establishing a numerical model-based high-resolution climatology of extreme winds over Switzerland is described, that makes use of the Canadian Regional Climate Model where a new windgust parameterization has been implemented. Self-nesting procedures allow windstorms to be studied at resolution as high as 2-km. The analysis of ten major windstorms concludes that the average spatial pattern and magnitude of the simulated windspeeds are well captured, and the areas that experienced extreme winds correspond well with observations and to the location where forest damage was reported following the last two of these storms. This climatology would eventually serve to form risk assessment maps based on the exceedance of windspeed thresholds. There is, however, a need for further investigations to encompass the full range of potential extreme wind cases. The ultimate goal of this methodology is to assess the change in the behaviour of extreme winds for a climate forced by enhanced greenhouse gas concentrations, and the impact of future windstorms over the Alpine region at high resolution.     

古气候模拟与气候模式

本文概要地介绍了国内外近年来古气候模拟研究的若干进展.内容包括国际古气候模拟比较计划的研究工作和中国科学院大气物理研究所开展的古气候模拟研究.作为气候模拟研究的重要手段,气候模式是非常关键的,因此,文中也对古气候模拟中使用的各种气候模式作了扼要的介绍.     

陆面水文过程研究综述

在简单介绍陆面过程模式发展的基础上，从裸土蒸发、植被蒸散、土壤水传输、排水和径流等五个方面详细综述了陆面模式研究中对水文过程的参数化。目前陆面参数化方案中仍存在很大的不确定性，其中陆面水文过程参数化的关键问题包括：土壤分层、土层厚度、根带分布；参数的代表性和移植；观测资料；径流的参数化。分析了径流在陆面模式中的重要性，及目前陆面模式中对径流参数化存在的不足，介绍了部分陆面模式对径流的模拟研究，讨论了未来工作的研究重点。     

土壤湿度和气候变化关系研究中的某些问题

从土壤湿度研究的历史出发，阐述了土壤湿度在气候变化乃至全球变化研究中的重要性，并从土壤湿度研究的科学背景出发，总结和综合评述了该研究领域所存在的两个重要科学问题及其研究现状，,最后对未来研究的方向及可能取得的进展进行了论述。     

“深时”（Deep Time）研究与沉积学

近百年来全球气候正在经历一次以变暖为主要特征的显著变化,人类文明的发展迫切要求我们对这种变化的发展趋势及其环境与资源效应有更加深入的了解。仅仅对现代和第四纪气候研究是有局限性的,全面了解地球表层及气候系统需要研究整个地质历史时期地球表层系统的发展演化。基于这样一种需求,从沉积记录研究前第四纪地质历史时期的地球古气候变化及重大地质事件,并为未来气候预测提供依据的“深时”（Deep Time）研究计划在国际地球科学界逐渐形成。“深时”研究将聚焦地球气候系统中的重大科学问题,通过地质历史时期极端气候事件探讨气候变化的极限和速率、大气成分和大洋成分变化、大气环流和大洋环流以及生物圈、固体地球与太阳的联系等,最终揭示地球气候系统与地球系统的联系。“深时”研究将通过解译、定年和模拟的基本方法,发展完善大陆科学钻探项目,获得保存良好、高分辨率的沉积记录是重中之重。可以预见,“深时”研究将与“深空”（Deep Space）、“深海”（Deep Sea）和“深部”（Deep Interior）研究计划一样,成为未来国际和国内地球科学重大研究领域。同时,在开展“深时”研究过程中,沉积学也将扮演核心学科的角色发挥重要的作用。     

干旱区融雪径流模拟的研究进展与展望

融雪径流模拟是干旱区水文水资源研究的热点问题,对干旱区春季融雪洪水风险评估和流域水资源管理至关重要。结合文献查询及资料分析,重点讨论了不同类型融雪径流模型的特征和发展情况,比较了不同融雪径流模型在干旱区一些典型河流的应用情况,并对其功能及优缺点进行了评估。结合对目前流域融雪径流模拟研究中存在的问题的分析,提出未来融雪径流模拟要注重提高数据分辨率的观点。借助多源遥感数据驱动获取更为精确的输入数据,在数据获取难度减小、精度提高的基础上山区融雪径流模拟将更多地以基于能量平衡的物理性模拟为主。模型的构建要充分考虑由气候变暖所带来的其它参数的变化,精确描述山区融雪过程,以提高对融雪径流的模拟精度。     

Orbital- and millennial-scale vegetation and climate changes of the past 225 ka from Bear Lake,Utah–Idaho (USA)

Continuous high-resolution pollen data for the past 225 ka from sediments in Bear Lake, Utah–Idaho reflect changes in vegetation and climate that correlate well with variations in summer insolation and global ice-volume during MIS 1 through 7. Spectral analysis of the pollen data identified peaks at 21–22 and 100 ka corresponding to periodicities in Earth's precession and eccentricity orbital cycles. Suborbital climatic fluctuations recorded in the pollen data, denoted by 6 and 5 ka cyclicities, are similar to Greenland atmospheric temperatures and North Atlantic ice-rafting Heinrich events. Our results show that millennial-scale climate variability is also evident during MIS 5, 6 and 7, including the occurrence of Heinrich-like events in MIS 6, showing the long-term feature of such climate variability. This study provides clear evidence of a highly interconnected ocean–atmosphere system during the last two glacial/interglacial cycles that extended its influence as far as continental western North America. Our study also contributes to a greater understanding of the impact of long-term climate change on vegetation of western North America. Such high-resolution studies are particularly important in efforts of the scientific community to predict the consequences of future climate change.     

A Study of Global Change Population and Economic System Risk Forming Mechanism and Assessment

Global climate change featured with warming has created serious challenge to world sustainable development and human security. It has become an important consensus of the international society to assess global change risk at the global scale and carry out tailored governance and risk-based adaptation. National Key Research and Development Program “Study on global change population and economic system risk forming mechanism and assessment” aims at quantitatively predicting future global climate change and population and economic system exposure and vulnerability change, developing global change population and economic system risk assessment model based on complex system dynamics, synthesizing risk assessment model with proprietary intellectual property rights, assess global change population and economic system risk of the near and mid future at the global scale, and compiling the atlas of global change population and economic system risk. The outcomes intend to serve the participation of global risk governance and international climate negotiation, and to provide scientific support to the implementation of international disaster risk reduction strategy.     

Application of Bias Correction and Spatial Disaggregation in Removing Model Biases and Downscaling over China

Global Climate Models (GCM) are the primary tools for studying past climate change and evaluating the projected future response of climate system to changing atmospheric composition. However, the state of art GCMs contain large biases in regional or local scales and are often characterized by low resolution which is too coarse to provide the regional scale information required for regional climate change impact assessment. A popular technique, Bias Correction and Spatial Disaggregation (BCSD), are widespreadly employed to improve the quality of the raw model output and downscaling throughout the world. Unfortunately, this method has not been applied in China. Consequently, the detailed principle and procedure of BCSD are introduced systematically in this study. Furthermore, the applicability of BCSD over China is also examined based on an ensemble of climate models from phase five of the Coupled Model Intercomparison Project (CMIP5), though the excellent performance of it has been validated for other parts of the world in many works. The result shows that BCSD is an effective, model independent approach to removing biases of model and downscaling. Finally, application scope of BCSD is discussed, and a suite of fine resolution multimodel climate projections over China is developed based on 34 climate models and two emissions scenarios (RCP4.5 and RCP8.5) from CMIP5.     

Coupling Earth System Model and Integrated Assessment Model

According to the guideline of National Key Research and Development Project, this project aims at developing a world-class Integrated Assessment Model (IAM) in China, which will be used to assess the impacts of climate change on economy system. The objects of this project are to ① Improve the spatial resolution of Earth System Model (ESM); ② Modify the Integrated Assessment Model; ③ Couple the ESM and IAM; ④ Evaluate the impacts of climate change on society and economy. This project will solve two key scientific questions: how to identify the impacts of climate change in the IAM; How much the impacts of climate change on economy in China. Meanwhile, two techniques will be developed to complete the mission of this project: Simulate of small-scale human activities in the EAM and spatial and temporal resolution match of ESM and IAM.     

Modelling the response of river systems to environmental change: Progress,problems and prospects for palaeo-environmental reconstructions

Over the last decade several computational models, and several types of model, have been developed to simulate the response of river systems to environmental change over time scales of decades to millennia: hydrological models, flood inundation models, channel morphology models, channel network models, models of river meandering and river braiding, alluvial stratigraphy models, and landscape evolution models. Each type of model simulates different aspects of a river's response to changes in environmental inputs such as climate and land-use — and to changes in these inputs. And each type of model has its abilities, advantages and limitations. We provide an overview of the different types of model that have been developed, and we evaluate their suitability for testing hypotheses about past environmental conditions, as well as for investigating the response of alluvial river systems to future environmental change. Additionally, we discuss the general issues and problems of computational modelling (e.g. scale and resolution, data availability, process representation, process parameterization, model calibration, non-linearity, and uncertainty), and the extent to which these hamper the usefulness of the models as a tool in environmental landscape studies. Finally, we identify trends in computational modelling research to outline possible future directions of the discipline.     

Summary and Prospects of Numerical Simulation Research of the Atmospheric Boundary Layer

As an important bridge between the underlying surface and the free atmosphere, the atmospheric boundary layer is not only closely related to the development of various weather processes, but also plays a key role in local and regional weather and climate changes. In view of the complexity of the atmospheric boundary layer, the numerical simulation of the atmospheric boundary layer has always been a hotspot and difficulty in the numerical simulation research of the atmosphere. In this paper, the three numerical model development stages of the atmospheric boundary layer in recent decades were summarized and the important advances in arid and semi-arid areas, Tibet Plateau, urban complex underlying surface, and special typhoon boundary layer were reviewed. At present, there are still five scientific problems to be solved urgently, including cloud and boundary layer interaction, boundary layer parameterization, model resolution, boundary layer data assimilation and boundary layer development mechanism. Moreover, it was pointed out that in this field we need to strengthen the understanding of different types of atmospheric boundary layer processes, boundary layer bottom and top interface exchange, boundary layer development mechanism in special regions, improve boundary layer parameterization scheme and give full play to the advantages of LES in boundary layer simulation.