Evaluation of regional climate simulations for air quality modelling purposes

In order to evaluate the future potential benefits of emission regulation on regional air quality, while taking into account the effects of climate change, off-line air quality projection simulations are driven using weather forcing taken from regional climate models. These regional models are themselves driven by simulations carried out using global climate models (GCM) and economical scenarios. Uncertainties and biases in climate models introduce an additional “climate modeling” source of uncertainty that is to be added to all other types of uncertainties in air quality modeling for policy evaluation. In this article we evaluate the changes in air quality-related weather variables induced by replacing reanalyses-forced by GCM-forced regional climate simulations. As an example we use GCM simulations carried out in the framework of the ERA-interim programme and of the CMIP5 project using the Institut Pierre-Simon Laplace climate model (IPSLcm), driving regional simulations performed in the framework of the EURO-CORDEX programme. In summer, we found compensating deficiencies acting on photochemistry: an overestimation by GCM-driven weather due to a positive bias in short-wave radiation, a negative bias in wind speed, too many stagnant episodes, and a negative temperature bias. In winter, air quality is mostly driven by dispersion, and we could not identify significant differences in either wind or planetary boundary layer height statistics between GCM-driven and reanalyses-driven regional simulations. However, precipitation appears largely overestimated in GCM-driven simulations, which could significantly affect the simulation of aerosol concentrations. The identification of these biases will help interpreting results of future air quality simulations using these data. Despite these, we conclude that the identified differences should not lead to major difficulties in using GCM-driven regional climate simulations for air quality projections.     

Diagnosis of the marine low cloud simulation in the NCAR community earth system model (CESM) and the NCEP global forecast system (GFS)-modular ocean model v4 (MOM4) coupled model

We present a diagnostic analysis of the marine low cloud climatology simulated by two state-of-the-art coupled atmosphere–ocean models: the National Center for Atmospheric Research community earth system model version 1 (CESM1) and the National Center for Environmental Predictions global forecasting system-modular ocean model version 4 (GFS-MOM4) coupled model. In the CESM1, the coastal stratocumulus (Sc)-topped planetary boundary layers (PBLs) in the subtropical Eastern Pacific are well-simulated but the climatological transition from Sc to shallow cumulus (Cu) is too abrupt and occurs too close to the coast. By contrast, in the GFS-MOM4 the coastal Sc amount and PBL depth are severely underestimated while the transition from Sc to shallow Cu is “delayed” and offshore Sc cover is too extensive in the subtropical Eastern Pacific. We discuss the possible connections between these differences in the simulations and differences in the parameterizations of shallow convection and boundary layer turbulence in the two models.     

浙江省几种灾害性大风近地面阵风系数特征

阵风特性研究是大风预报和服务的基础。基于2011-2013年浙江省自动气象站逐日逐10 min测风资料,分析了浙江省陆地和近海海面冷空气、热带气旋和强对流大风的阵风系数特征。结果表明:冷空气和热带气旋大风阵风系数空间分布基本相同,大风主要发生在近海海面和沿海地区,海面阵风系数一般小于1.5,等值线平行于海岸线且自西向东逐渐减小,陆地阵风系数一般大于2.0,山区可超过3.0,表现出地形对阵风系数的增强作用。强对流大风阵风系数明显高于业务规范平均值,发生地点遍及浙江省各地,但发生概率超过10%的站点主要位于沿海地区和近海海面。风向基本不影响阵风系数空间分布。冷空气和热带气旋站点阵风系数与海拔高度有较高正相关性。模糊聚类分析发现:浙江省400 m以上山区站与70 m以下的低海拔站点在阵风系数特征上分属不同空间类型;基于逐步回归建立站点阵风系数预报模型,检验表明:模糊聚类可帮助提高模型阵风系数预报能力。     

近海岸风速衰减特征及形成机理分析

为更好理解沿海区域近地面风速衰减规律及其内在机制并获取适用于业务观测风速数据的分析方法,通过引入内边界层厚度的发展机理,推导获得风速随离岸距离变化的数学解析拟合式。结合浙江省温州市境内一沿海区域6个自动气象站2014—2019年逐时风速观测数据应用该拟合式分析了风速随离岸距离的关系,结果表明不管是逐时风速还是逐日最大风速,其平均值均与离岸距离有着良好的负相关,并发现其衰减系数与风速有着密切关系。向岸流及离岸流的风速衰减特性均可以结合该拟合式用线性及幂数律拟合来体现,但后者可以更好地解释风速随离岸距离变化特征,并在较大风速(3~10 m/s)向岸流的背景条件下,获得合理可信的分析结果,说明该方法可以适用于近海岸区域风速观测数据的应用研究。      

深圳两次大雾天气过程对比分析及预报启示

2005年2月23-25日和2006年3月6日深圳分别出现了一次大雾天气。从天气学角度对两次大雾过程的形成原因、特点进行对比分析，分析表明：大雾天气需在一定的形势场中出现并维持，近地面层气象要素场的变化会促进大雾的形成、维持和消失，而近地面层风场或温度场的改变除了与其环境、当地气候特征有关外，与大的形势场是分不开的。通过对比，对深圳大雾天气的生消和维持机制有一定了解，对预报本地大雾天气有指示作用，也为其它地区特别是沿海地区雾的预报提供借鉴。     

中尺度大气数值模式发展现状和应用前景

对国内外当前一些先进的中尺度大气数值模式的发展现状,应用前景及发展趋势作了概要综述。其内容包括：模式动力学的改进,叫就度模拟系统特征,区域谱模 发展积云参数化和显式云物理方案,行星边界层参数化,大气辐射参数、四维资料同化,区域实时数值天气预报,中尺度数值天气预报应用前景及新一代中尺度模式发展趋势。     

Modeling the climatic effects of urbanization in the Beijing–Tianjin–Hebei metropolitan area

In this analysis, the weather research and forecasting model coupled with a single-layer urban canopy model is used to simulate the climatic impacts of urbanization in the Beijing–Tianjin–Hebei metropolitan area, which has experienced significant expansion in its urban areas. Two cases examining current landscapes and the sensitivity test of urban areas replaced by cropland have been carried out to explore the changes in the surface air and atmospheric boundary structure. The impact of urbanization on annual mean surface air temperature has been found to be more than 1 °C in urban areas, and the maximum difference is almost 2 °C. The change in near-surface level temperature is most pronounced in winter, but the area influenced by urbanization is slightly larger in summer. The annual mean water vapor mixing ratio and wind speed are both reduced in the urban area. The effect of urbanization can only heat the temperature inside the urban boundary layer, below 850 hPa. The modeling results also indicate that the underlying surface thermal forces induced by the “urban heat island” effect enhance vertical air movement and engenders a convergence zone over urban areas. The convergence at low level together with the moisture increases in the layer between 850 and 700 hPa triggered the increase of convective precipitation.     

1614号超强台风“莫兰蒂”在浙江沿海降水预报偏小的原因

通过对1614号超强台风“莫兰蒂”在浙江沿海降水预报偏小的原因进行回顾,同时基于美国NOAA HYSPLIT4模式,对“莫兰蒂”水汽来源进行轨迹聚类,针对不同路径来源的水汽在“莫兰蒂”浙江沿海降水中的贡献差异进行定量分析,结果表明:数值模式对“莫兰蒂”路径预报偏西、降水预报偏小,直接影响了主观预报服务中降水强度和落区的判断,而数值产品对中纬度环流作用和浙江沿海台风倒槽的预报出现偏差,同时对1616号台风“马勒卡”路径预报偏东,导致主观预报忽略了“莫兰蒂”与其他天气系统的相互作用,影响了对降水动力和水汽因子的判断,也是降水预报偏小的原因之一。“莫兰蒂”水汽输送有3支气流,分别来自东北、东南和偏南洋(海)面,后2支气流为主要水汽来源,浙北沿海以东南向水汽输送最重要,对水汽和降水贡献高达70%以上,表现出1616号台风“马勒卡”对“莫兰蒂”在浙北沿海降水的重要作用,而浙南沿海台风本体的偏南气流与“马勒卡”的东南气流的水汽输送作用相当。可见台风降水预报中,需要密切关注台风环流与其它天气系统以及双台风间的相互作用。      

赤潮发生规律及气象条件

根据国家海洋局1990~2003年《中国海洋灾害公报》中我国沿海赤潮的相关资料,分析了我国赤潮的时空分布特点,我国近几年赤潮发生增长较快,几乎全年都有发生,主要集中在5~9月,沿海各省都有赤潮发生,浙江省、长江口一带最盛。对浙江舟山沿海发生赤潮时的气象要素研究表明,其主要特点是湿度大、气压低、日照时间长、风向偏东居多。赤潮发生时的3个天气形势特征:高空西北偏西气流;地面一般为均压场,气压低;在我国东部沿海地区近地层有很大的东西向温度梯度,并分析了这样的形势适合赤潮发生的原因。     

一次梅雨期台风远距离暴雨的分析研究

用NCEP 1°×1°再分析资料、MICAPS系统地面站资料、TRMM卫星降水资料以及自动站雨量资料分析了2011年梅雨后期发生在江苏省南京市的一次暴雨过程。结果表明:此次暴雨发生在中高层高空深槽前部、低空切变线附近、低层低涡和地面低压的东北部,是西风带低值系统及其引导的低层低涡与西进北上的"马鞍"台风共同作用产生的。925 h Pa上中国东南沿海位于低层低涡东北部的东南偏东气流影响下,将来自于西太平洋的水汽源源不断向暴雨区输送,为暴雨的发生提供了良好的水汽条件。不仅如此,此东南偏东气流还使得华南和东南沿海地区暖平流明显。低层暖平流输送伴随的小幅增温和水汽输送导致的湿度层增厚,导致南京附近大气层结不稳定是暴雨发生的热力环境。随着"马鞍"台风的西进北上,其北侧副高中的干空气逐渐被卷至中国东南沿海附近,与大陆上的暖湿气流形成明显对比,形成了一条明显的能量锋。与此同时,在长江中游地区,残余的梅雨锋也表现为一条能量锋,两条能量锋在南京附近相接,造成明显的上升运动,从而触发了暴雨的发生。     

Autoregressive logistic regression applied to atmospheric circulation patterns

Autoregressive logistic regression models have been successfully applied in medical and pharmacology research fields, and in simple models to analyze weather types. The main purpose of this paper is to introduce a general framework to study atmospheric circulation patterns capable of dealing simultaneously with: seasonality, interannual variability, long-term trends, and autocorrelation of different orders. To show its effectiveness on modeling performance, daily atmospheric circulation patterns identified from observed sea level pressure fields over the Northeastern Atlantic, have been analyzed using this framework. Model predictions are compared with probabilities from the historical database, showing very good fitting diagnostics. In addition, the fitted model is used to simulate the evolution over time of atmospheric circulation patterns using Monte Carlo method. Simulation results are statistically consistent with respect to the historical sequence in terms of (1) probability of occurrence of the different weather types, (2) transition probabilities and (3) persistence. The proposed model constitutes an easy-to-use and powerful tool for a better understanding of the climate system.     

基于WRF模式的青岛沿海地区近地面风的敏感性研究

沿海地区受风的影响较大,不仅受大尺度季风的影响还受到中小尺度局地风的影响,利用WRF模式从参数化组合方案、土地利用数据、水平网格精度以及耦合UCM四个方面对青岛沿海地区近地面风进行了模拟和比较。结果表明,微物理方案和边界层方案对研究区近地面风的影响较大,WSM3 + YSU + Revised MM5 Monin-Obukhov + KF的参数化组合方案对研究区的模拟效果较好,相关系数在0.50~0.75之间,均方根误差在1.44~1.61之间。LUCC2015和TM2015土地利用数据能够更好地反映研究区的土地利用类型的分布特征,两者的模拟效果优于MODIS2001和MODIS2013。随着水平分辨率的提高,对地形刻画越精准,模拟效果越好,并且WRF+UCM方案能显著降低城市地区近地面风速,优化模拟结果。沿海地区近地面风的影响因素较为复杂,考虑模式的参数化方案组合、土地利用数据、地形和城市等多种因素,以期为沿海地区近地面风的模拟提供依据。      

复杂地形城市冬季大气污染的数值模拟研究

采用中尺度大气动力模式与大气扩散模式相结合的方法，针对复杂地形条件下兰州市冬季无明显冷空气入侵天气过程时段（1994年12月2－3日）的大气污染状况，进行污染物（二氧化硫和烟尘）浓度分布的数值模拟研究，分析了模拟的风场的气温层结随时间的变化以及污染物浓度的分布及其变化，进一步分析了模拟的风场和气温层结与污染物浓度分布的关系。结果表明，该模式系统对兰州市大气边界层结构及污染物浓度的分布有较好的模拟能力，并证明了该模式系统可适用于兰州市大气质量预测预报研究。     

Identification of the optimal integration of the hydrologic model with meteorology data using the advanced GIS object-oriented programming

An object-oriented framework called GIS and Hydrologic Information System Modeling Object (GHISMO) that is tightly coupled with a prototype geographic information system (GIS), is presented in this research. The proposed GHISMO framework is used to simulate a hydrologic system on the base of the storage-release concept and with multiple weather data such as gage and NEXRAD data. Both quantitative and qualitative results of simulation for the Pleasant Run Creek and Little Buck Creek watersheds in Indiana (USA) demonstrate the method prospects.     

沿海地区复合洪水危险性研究进展

沿海地区频繁遭受洪水灾害,往往并非单一灾种驱动,而是多种致灾因子相互影响的综合结果.文中梳理了沿海地区复合洪水的主要驱动机理,归纳了复合洪水危险性研究中统计模型和动力数值模型两类主要研究方法,并分别阐述了近年来主要进展.复合洪水是极端高潮位(包括天文潮位、风暴潮和海浪)、河流洪水和强降水过程的两两组合或者是三者同时发生...     

A high-resolution ocean-atmosphere coupled downscaling of the present climate over California

A fully coupled regional ocean-atmosphere model system that consists of the regional spectral model and the regional ocean modeling system for atmosphere and ocean components, respectively, is applied to downscale the present climate (1985–1994) over California from a global simulation of the Community Climate System Model 3.0 (CCSM3). The horizontal resolution of the regional coupled modeling system is 10 km, while that of the CCSM3 is at a spectral truncation of T85 (approximately 1.4°). The effects of the coupling along the California coast in the boreal summer and winter are highlighted. Evaluation of the sea surface temperature (SST) and 2-m air temperature climatology shows that alleviation of the warm bias along the California coast in the global model output is clear in the regional coupled model run. The 10-m wind is also improved by reducing the northwesterly winds along the coast. The higher resolution coupling effect on the temperature and specific humidity is the largest near the surface, while the significant impact on the wind magnitude appears at a height of approximately 850-hPa heights. The frequency of the Catalina Eddy and its duration are increased by more than 60 % in the coupled downscaling, which is attributed to enhanced offshore sea-breeze. Our study indicates that coupling is vital to regional climate downscaling of mesoscale phenomena over coastal areas.     

Multidecadal simulation of coastal fog with a regional climate model

In order to model stratocumulus clouds and coastal fog, we have coupled the University of Washington boundary layer model to the regional climate model, RegCM (RegCM-UW). By comparing fog occurrences observed at various coastal airports in the western United States, we show that RegCM-UW has success at modeling the spatial and temporal (diurnal, seasonal, and interannual) climatology of northern California coastal fog. The quality of the modeled fog estimate depends on whether coast-adjacent ocean or land grid cells are used; for the model runs shown here, the oceanic grid cells seem to be most appropriate. The interannual variability of oceanic northern California summertime fog, from a multi-decadal simulation, has a high and statistically significant correlation with the observed interannual variability (r = 0.72), which indicates that RegCM-UW is capable of investigating the response of fog to long-term climatological forcing. While RegCM-UW has a number of aspects that would benefit from further investigation and development, RegCM-UW is a new tool for investigating the climatology of coastal fog and the physical processes that govern it. We expect that with appropriate physical parameterizations and moderate horizontal resolution, other climate models should be capable of simulating coastal fog. The source code for RegCM-UW is publicly available, under the GNU license, through the International Centre for Theoretical Physics.     

WAP Push在江西气象预警信息发布平台中的应用

阐述了WAP Push技术的体系结构、工作流程和WAP Push技术在气象预警信息发布中的优势;介绍了江西气象预警信息发布平台的整体框架,该平台采用了分布式的3层结构,分别为信息获取层、信息编辑/存储层和信息发布层,具有较强的安全性、稳定性和可维护性;重点介绍了WAP Push信息发布模块的工作流程和主要功能,该模块具有发送图文并茂的WAP Push消息或普通短信息,支持群发信息,返回信息发送状态等功能;最后探讨了WAP Push技术在气象业务中的应用及前景。