北半球雪盖的气候特征及与印度季风降水的关系

利用卫星观测的1966年11月－2000年12月北半球雪盖资料，研究了北半球、欧亚、北美和青藏高原雪盖的气候学特征及其变化趋势。通过对雪盖与印度季风的分析，得出：（1）欧亚冬季（12月－翌年3月）雪盖面积与印度季风降水（6－9月）呈反相关，并指出印度季风降水不仅受欧亚雪盖的影响，可能与暖水年有一定的联系。（2）青藏高原10、11月雪盖面积与次年印度季风爆发及降水关系较好，并提出可能的影响机制。     

青藏高原冬季积雪异常对东,南亚夏季风影响的初步数值模拟研究

利用一个耦合了简化的简单生物圈模式的大气环流谱模式（ＳＳｉＢ－ＧＣＭ），初步探讨了青藏高原冬季积雪异常对东、南亚夏季季风环流和降水的影响及其机理。结果表明，高原地区积雪增加将使随后地夏季东、南来季风明显减弱，主要表现为东、南亚季风区降水减少，索马里急流、印度季风的印度西南气流弱弱。另外，还提出欧亚大陆雪盖与整个高原雪盖和高原东部雪盖对东、南亚夏季风影响的敏感问题。与欧亚大陆雪盖相比，高原雪盖是影响     

陆面过程模式研究中的几个问题

文章讨论了陆气相互作用（ＬＡＩ）研究及陆面过程模式（ＬＳＭ）研制改进工作中的一些重要问题，讲述了重要下垫面的研究，陆面构成非均匀性及由此产生的中尺度环流的重要性，进而对雪盖和干旱地区所做的工作作了进一步阐述。     

一个改进的陆面过程模式及其模拟试验研究第一部分:陆面过程模式及其“独立(off-line)”模拟试验和模式性能分析

文中在综合比较过去各类陆面过程模式优缺点的基础上,主要参考ＢＡＴＳ模式,发展了一个陆面过程模式（ＬＰＭ－ＺＤ）。它具有以下几个特征：１．采用物理方程和经验解析公式相结合的方法进行土壤温度和土壤水汽的求解。在上层土壤,土壤分层较细并采用温度传导和水汽扩散方程求解,而在下层土壤,土壤分层较粗并利用经验方法处理。２．考虑了降水分布的次网格特征及其对陆面水文产生的重要影响。３．较全面地考虑了雪盖对陆面过程的各种影响：对陆面水文的影响、对土壤热传导的影响以及雪盖的高反照率对辐射收支的影响。利用３组单点观测试验资料对陆面过程模式ＬＰＭ－ＺＤ进行了“独立（ｏｆ－ｌｉｎｅ）”模拟试验。模拟结果表明陆面过程模式ＬＰＭ－ＺＤ具有较好的模拟性能,能够比较准确地模拟不同气候区的多种下垫面类型的陆面过程变化特点,模拟结果与观测基本一致。进而又利用一组观测资料和模式ＬＰＭ－ＺＤ进行了一系列敏感性模拟试验,试验结果表明模式ＬＰＭ－ＺＤ对一些参数的确定非常敏感,如初始土壤水汽、植被的物理特性参数以及降水次网格分布因子等,因此提高确定这些参数的准确性是改进陆面模式的重要内容之一。     

TOGA—COARE强化期（IOP）西太平洋海域的辐射特征

该利用ＴＯＧＡ－ＣＯＡＲＥ强化观测期（ＩＯＰ）所获得的辐射观测资料（１９９２年１１月１０日－１９９３年２月１８日），对考察点（２°１５′Ｓ，１５８°００′）的辐射分量进行了分析，其中包括总辐射、直接辐射、散射辐射、海表长波辐射、大气逆辐射、海表反射辐射春反照率、净辐射及有效辐射。     

陆面过程模式中积雪过程的参数化及初步试验

为了用气候模式研究冰雪圈变化的气候效应，我们在已经发展的土壤－植被－大气模式基础上，考虑积雪改变表水文和反照率的参数化，建立了包含雪盖问题的陆面过程模式。利用中国西北黑河地区的ＨＥＩＦＥ实测气象和辐射资料，检验了模式对大气降雨和降雪的响应，结果表明，该模式描写的各种物理过程合理，一些可观测要素（如地面温度和地表净辐射通量）的演变特征与实况相当一致。     

精细PBL模式及其诊断应用

在已建立的一种三维非静力细网格Ｅ－ε湍能闭合的动力学框架基础上,作了一些改进的技术处理和试验,包括：（１）利用ＧＩＳ提供的地形资料,较精确地计算太阳辐射,进而诊断地面温度;（２）引进位势流概念,处理稳定层结条件下初始内插风场的风向变化;（３）引入动力学调整项Ｇ（αｏｂｓ－α）。在此基础上,就地理信息系统（ＧＩＳ）提供的一个 ６０ｋｍ×４８ｋｍ区域作了边界层结构和湍流特征的数值模拟试验,并与实测作了比较,讨论了精细ＰＢＬ模式的模拟效果,结果表明,新建的ＰＢＬ模式能较好地模拟表征出复杂下垫面地域的陡峭地形和不规则海岸线对局地风场和湍流场的动力和热力学作用。     

用于GCM耦合的积雪模型的设计

文中描述一个一维的积雪分层模型,目的是要刻划雪盖随季节的变化,与其下冻土变动模型一起,构成完整的雪盖模型。为了保持一定精度,并能用于大气环模式（ＧＣＭ）研究,模型对积雪内部热量及质量输送过程的描述精细程度及计算时分层多少均有所考虑。模型中,改用内能代替温度作为预报量,克服了相变时直接预报温度时造成的计算误差,有效地预报了相变过程。对于积雪密度的变化,考虑了雪花形态的破坏而引起的密度变化及由于压实过程而引起的密度变化。并对各分层自重产生压实过程推导了相应的公式,在模型中对雪盖的光学特性、热力学特性及水流流动特性参数化方案设计也进行了分析。本简化模型的模拟结果与精细积雪模型的比较,具有几乎同等的精度,与俄罗斯的Ｙｅｒ－ｓｈｏｖ站实测数据相比,吻合十分理想。     

ENSO循环的数值模拟(Ⅱ)──变化性及时间尺度选择机制

利用热带太平洋海气耦合异常模式的３０ａ模拟结果，对模式ＥＮＳＯ的变化性及多重时间尺度过程进行了细致分析，建立了一ＥＮＳＯ循环多重时间尺度过程相互作用的非线性相似（Ａｎａｌｏｇ）模型，并提出了ＥＮＳＯ循环主周期形成的一种可能机制。指出：和观测事实类似，模式ＥＮＳＯ过程确实涉及到三种时间尺度，即３—４ａ主周期振荡（ＬＦ）、准两年振荡（ＱＢ）和年循环（ＡＣ）；其中，ＱＢ过程是线性海气耦合系统的本征模态，年循环（ＡＣ）对其形成没有本质的影响；３—４ａ主周期振荡（ＬＦ）是一非线性系统的自激振荡现象，其形成是线性系统的本征模即ＱＢ过程通过非线性机制尤其是通过大气辐合反馈加热的“单向性”过程在ＱＢ的暖态产生的减频增幅所致；平均年循环（ＡＣ）虽然不能对ＥＮＳＯ循环形成有本质影响，但它可明显影响ＥＮＳＯ循环的具体振幅和位相，使得ＥＮＳＯ循环具有明显的不规则性并对季节循环具有明显的“锁相”特征；ＥＮＳＯ变化性确是ＬＦ、ＱＢ以及ＡＣ多重时间尺度相互作用形成的。本文提出的ＥＮＳＯ循环时间尺度选择机制不仅解释了主周期振荡的形成过程，而且也较好地解释了ＥＮＳＯ变化的谱，因此，这一机制更接近于观测事实。     

青藏高原冬春季雪盖对东亚夏季大气环流影响的数值试验

利用ＩＡＰ２－ＬＡＧＣＭ进行了青藏高原冬春季雪盖异常对东亚夏季大气环流、加热场和降水影响的数值试验。结果表明，该影响十分显著，持续性很强。当高原冬春季雪盖异常增厚、范围扩大时，夏季（ＪＪＡ）高原地区及我国北方５００ｈＰａ位势高度降低，南方变高，西太平洋副高减弱。大气对雪盖异常的响应呈明显的波列特征。我国北方大部地区土壤温度降低，南方土壤温度升高。夏季各月降水异常分布形势并不完全一致，但与同期５００ｈＰａ高度场异常分布形势有关。     

A new snow parameterization for the Météo-France climate model

Both observational studies and numerical experiments demonstrate the sensitivity of the atmosphere to variations in the extent and mass of snow cover. There is therefore a need for simple but realistic snow parameterizations in forecast and climate models. This study describes a new physically-based snow hydrology for use in the Météo-France climate model, together with the ISBA land-surface scheme. A restricted number of parameters has been added, while preserving a single surface energy budget. The ageing process of the snow pack has been introduced through prognostic equations for snow density and snow albedo. Snowmelt computation has been modified over partially snow-covered and vegetated areas. The new scheme has been validated against field measurements in stand-alone simulations forced by observed meteorological conditions. The results show a strong improvement in the model's performance, thereby suggesting that a simple one-layer snow model is able to reproduce the main physical mechanisms governing the snow pack evolution. Part II of the present study will concern the validation in a 3-D experiment within the Météo-France climate model.     

The numerical scheme development of a simplified frozen soil model

In almost all frozen soil models used currently, three variables of temperature, ice content and moisture content are used as prognostic variables and the rate term, accounting for the contribution of the phase change between water and ice, is shown explicitly in both the energy and mass balance equations. The models must be solved by a numerical method with an iterative process, and the rate term of the phase change needs to be pre-estimated at the beginning in each iteration step. Since the rate term of the phase change in the energy equation is closely related to the release or absorption of the great amount of fusion heat, a small error in the rate term estimation will introduce greater error in the energy balance, which will amplify the error in the temperature calculation and in turn, cause problems for the numerical solution convergence. In this work, in order to first reduce the trouble, the methodology of the variable transformation is applied to a simplified frozen soil model used currently, which leads to new frozen soil scheme used in this work. In the new scheme, the enthalpy and the total water equivalent are used as predictive variables in the governing equations to replace temperature, volumetric soil moisture and ice content used in many current models. By doing so, the rate terms of the phase change are not shown explicitly in both the mass and energy equations and its pre-estimation is avoided. Secondly, in order to solve this new scheme more functionally, the development of the numerical scheme to the new scheme is described and a numerical algorithm appropriate to the numerical scheme is developed. In order to evaluate the new scheme of the frozen soil model and its relevant algorithm, a series of model evaluations are conducted by comparing numerical results from the new model scheme with three observational data sets. The comparisons show that the results from the model are in good agreement with these data sets in both the change trend of variables and their magnitude values, and the new scheme, together with the algorithm, is more efficient and saves more computer time.     

A new snow parameterization for the Météo-France climate model

Both observational and numerical studies demonstrate the sensitivity of the atmosphere to variations in the extent and mass of snow cover. There is therefore a need for simple but realistic snow parameterizations in forecast and climate models. A new snow hydrology scheme has recently been developed at Météo-France for use in the ARPEGE climate model and has been successfully tested against local field measurements in stand-alone experiments. This study describes the global validation of the parameterization in a 3-year integration for the present-day climate within the T42L30 version of ARPEGE. Results are compared with those from a control simulation and with available observed climatologies, in order to assess the impact of the new snow parameterization on the simulated surface climate. The seasonal cycle of the Northern Hemisphere snow cover is clearly improved when using the new scheme. The snow pack is still slightly overestimated in winter, but its poleward retreat is better reproduced during the melting season. As a consequence, the modified GCM performs well in simulating the springtime continental heating, which may play a strong role in the simulation of the Asian summer monsoon.     

Development of a model for water and heat exchange between the atmosphere and a water body

A model for studying the heat and mass exchange between the atmosphere and a water body is developed, in which the phase change process of water freezing in winter and melting in summer and the function of the convective mixing process are taken into consideration. The model uses enthalpy rather than temperature as the predictive variable. It helps to set up governing equations more concisely, to deal with the phase change process more easily, and make the numerical scheme simpler. The model is verified by observed data from Lake Kinneret for a non-frozen lake in summer time, and Lake Lower Two Medicine for a frozen lake in winter time. Reasonably good agreements between the model simulations and observed data indicate that the model can serve as a component for a water body in a land surface model. In order to more efficiently apply the scheme in a climate system model, a sensitivity study of various division schemes with less layers in the vertical direction in the water body is conducted. The results of the study show that the division with around 10 vertical layers could produce a prediction accuracy that is comparable to the fine division with around 40 layers.     

干对流调整对区域气候模拟效果的影响

利用干对流发生时大气层之间质量交换应满足守恒性原理, 改进了p-σ区域气候模式中的干对流调整方案。该方案同时调整温度、比湿和风场。利用1979~1995年NCEP/NCAR再分析资料月平均场作为初始场和侧边界强迫, 模拟1月和7月的气候特征,并用t检验和F检验方法检验敏感试验和控制试验模拟结果差异的显著性。结果表明, 无论是1月还是7月, 敏感试验与控制试验出现干对流调整的区域均一致, 但敏感试验各区域发生干对流调整的次数均比控制试验多。7月各个物理量场的差异均比1月显著。两试验模拟7月比湿场和降水量场的均值差异不明显, 而方差差异比较显著;温度场和风场的均值差异和方差差异均比较显著。敏感试验在20°N~35°N纬度带内对7月500 hPa风场的模拟有了比较明显的改进。在对7月总降水量场的模拟方面, 敏感试验在新疆北部、内蒙古中部呼和浩特一带、吉林东部以及湖北和广东地区有比较好的模拟效果, 基本消除了控制试验中的虚假大值区。     

The Development of a Nonhydrostatic Global Spectral Model

With the development of numerical weather prediction technology,the traditional global hydrostatic models used in many countries of the world for operational weather forecasting and numerical simulations of general circulation have become more and more unfit for high-impact weather prediction.To address this,it is important to invest in the development of global nonhydrostatic models.Few existing nonhydrostatic global models use consistently the grid finite difference scheme for the primitive equations of dynamical cores,which can subsequently degrade the accuracy of the calculations.A new nonhydrostatic global spectral model,which utilizes the Eulerian spectral method,is developed here from NCAR Community Atmosphere Model 3.0(CAM3.0).Using Janjic's hydrostatic/nonhydrostatic method,a global nonhydrostatic spectral method for the primitive equations has been formulated and developed.In order to retain the integrity of the nonhydrostatic equations,the atmospheric curvature correction and eccentricity correction are considered. In this paper,the Held-Suarez idealized test and an idealized baroclinic wave test are first carried out,which shows that the nonhydrostatic global spectral model has similar climate states to the results of many other global models for long-term idealized integration,as well as better simulation ability for short-term idealized integration.Then,a real case experiment is conducted using the new dynamical core with the full physical parameterizations of subgrid-scale physical processes.The 10-day numerical integration indicates a decrease in systematic error and a better simulation of zonal wind,temperature,and 500-hPa height.     

青藏高原夏季边界层再分析资料的偏差分析及订正

青藏高原对流边界层的热力、动力过程对下游地区甚至整个东亚地区的天气气候有重要影响。以2017年夏季为例分析ERA-Interim、JRA-55和MERRA-2再分析数据在青藏高原边界层研究中的适用性,并进一步利用数值模式物理框架的约束作用来订正其分析误差。2017年夏季青藏高原东南部边界层内,3套再分析资料对于气象要素的描述能力为气温>露点温度>水平风场,研究时段内适用性较好的再分析资料为ERA-Interim。比较12种模式参数化方案组合,模拟结果对于再分析资料在晴空和中雨情景下水平风场的误差离散程度均有明显改善。对于模拟改进的关键物理量水平风场而言,研究时段内本地适用性最高的参数化方案组合是ACM2+WSM6+BMJ。再分析资料中的风场经模拟结果调整后可以更好地描述青藏高原夏季边界层发展,证实模式参数化方案可以减小其在高原地区季节分布偏差。     

极轨卫星高层通道在GRAPES同化系统中的应用

针对GRAPES(Global/Regional Assimilation and Prediction System)模式三维变分系统高层背景场温湿廓线外推方案的局限性,提出以气候垂直廓线重新构造高层温湿垂直结构,以减小外推方案的偏差。首先采用一维变分同化系统,展开模拟实验:分析目前模式中使用的外推方案误差及其对反演结果的影响,利用高层大气气候廓线构造垂直结构并分析同化偏差。最后,运用GRAPES全球分析预报系统进行同化实验并分析改进程度。结果显示:模拟研究表明采用高层背景场温湿廓线外推方案与实际观测相比最大偏差在1 h Pa附近可达数十度以上,不仅影响平流层,而且对对流层也有影响;用气候温度数据修正GRAPES高层温度数据,可以减少50%以上的偏差,证明了用气候值高层数据优化现行GRAPES模式中同化系统高层插值方案的可行性。全球GRAPES三维变分同化试验结果显示,改进方案不仅显著的改善平流层分析质量,对对流层中高层也有改进。     

Multiscale Global Atmosphere Model SL-AV: the Results of Medium-range Weather Forecasts

Development of the multiscale version of the global atmosphere model SL-AV required many improvements in the dynamical core, replacement or refinement of parameterization algorithms and complex tuning of the model. These modifications were initially tested with the experiments on modern climate simulation and then incorporated into the model configuration for medium-range numerical weather prediction. The impact of these model improvements on forecast quality is studied in this paper. The increase in accuracy of model climate characteristics has led to the reduction of forecast errors. The comparison of quality for numerical forecasts starting from the initial data of Hydrometcenter of Russia and ECMWF is carried out. The effect of replacing the initial data turned out to be comparable to the effect of multi-year works on model development. This shows the importance and necessity of development and improvement of the Hydrometcenter of Russia data assimilation system.     

Regional climate changes as the factors of impact on the objects of construction and infrastructure

Considered are the changes in the climate impact on the objects of construction and infrastructure on the territory of Russia. The focus is on the changes in the characteristics of daily air temperature and precipitation expected by the middle of the 21st century, which are of high importance in terms of the building design. The assessment of expected changes is based on the results of ensemble computations using the MGO gobal climate model and the embedded regional model (MGO RCM) with the horizontal resolution of 25 km. Along with the ensemble-averaged estimates of changes in applied climate parameters, an uncertainty of estimates associated with the natural climate variability is analyzed using the data of numerical experiments. The attention is drawn to the most significant effects of climate changes which should be taken into account when developing the measures for adapting the construction sector in Russia.