阻塞形势下内蒙古东南部地区一次冷涡暴雨过程水汽特征分析

使用常规观测资料、FY-2G卫星及1°×1°的NCEP再分析资料,对2017年7月6—7日内蒙古东南部地区一次冷涡暴雨天气过程进行分析。结果表明:在稳定的"一槽一脊"型环流背景下,阻塞高压稳定维持,西风槽东移受阻移动缓慢,加深为涡,暴雨发生在冷涡发展加强阶段;低空急流建立,一方面形成偏南水汽输送,为暴雨提供源源不断的水汽,水汽收支主要集中在700 hPa以下,暴雨发生前水汽净收入明显增大,南、北边界水汽贡献率大;另一方面,偏南暖湿气流的输送使不稳定层结建立,能量在暴雨区积聚,偏南低空急流与高空急流耦合,又为暴雨发生提供了动力条件;暴雨发生前后湿度场变化显著,大气可降水量最大达到55—60 kg·m^-2,且暴雨发生前增幅显著,增幅近2倍。暴雨区700 hPa (850 hPa)上比湿不低于7 g·kg^-1(12 g·kg^-1),强降水出现在水汽图上白亮区断裂消失后,高层比湿峰值附近和相当黑体温度<230 K为强降水高发区。     

<Emphasis Type="Italic">Ua ‘afa le Aso</Emphasis> Stormy weather today: traditional ecological knowledge of weather and climate. The Samoa experience

This paper examines traditional ecological knowledge of weather and climate in Samoa, a Polynesian community in the South Pacific. The research found Samoans have their own unique seasonal calendar. The Samoan seasonal calendar is predominantly based on the observations of local environmental changes, which are in turn influenced by weather and climate. Monitoring changes in plants and animal behaviour, for example, are key indicators used by the Samoans to forecast changes in weather and climate. In addition, their communal and family social activities like hunting, fishing and feasting are driven by the seasonal calendar. The Samoans knowledge of cloud formation, conditions conducive to the formation and onset of severe weather systems and seasonal changes in climate, helped them anticipate, plan and adapt to extreme weather and climate events. The ability and knowledge of the Samoans to forecast the onset of extreme weather and climate events, relying predominantly on local environmental changes are vital tools that should be incorporated in the formulation of human induced climate change adaptation strategies.     

Statistical estimation of high-resolution surface air temperature from MODIS over the Yangtze River Delta,China

High-resolution surface air temperature data are critical to regional climate modeling in terms of energy balance, urban climate change, and so on. This study demonstrates the feasibility of using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) to estimate air temperature at a high resolution over the Yangtze River Delta region, China. It is found that daytime LST is highly correlated with maximum air temperature, and the linear regression coefficients vary with the type of land surface. The air temperature at a resolution of 1 km is estimated from the MODIS LST with linear regression models. The estimated air temperature shows a clear spatial structure of urban heat islands. Spatial patterns of LST and air temperature differences are detected, indicating maximum differences over urban and forest regions during summer. Validations are performed with independent data samples, demonstrating that the mean absolute error of the estimated air temperature is approximately 2.5°C, and the uncertainty is about 3.1°C, if using all valid LST data. The error is reduced by 0.4°C (15%) if using best-quality LST with errors of less than 1 K. The estimated high-resolution air temperature data have great potential to be used in validating high-resolution climate models and other regional applications.     

中国农业气象模式(CAMM1.0)构建与应用

为发展适宜中国区域农业种植特点的农业气象模式,基于国外作物生长模拟方法,通过模式机理过程改进或重构以及应用方式革新,建立了中国农业气象模式（Chinese AgroMeteorological Model version 1.0,CAMM1.0）。CAMM1.0利用平均温度和土壤水分改进了作物发育进程模式,利用土壤水分改进了作物叶片光合作用、干物质分配和叶面积扩展过程模式,通过蒸发比法扩展了作物蒸散过程模式;自主建立了基于发育进程的冬小麦株高、基于遥感信息的作物灌溉、遥感数据同化、作物长势与灾害评价等模式。基于互联网技术构造了实时运转平台,主要功能包括作物生长过程实时常规模拟与用户个性化定制模拟。CAMM1.0的部分子模式采用多种方法构造,便于多模式集成。CAMM1.0对作物发育进程、光合过程、株高的模拟效果较好,但对土壤水分变化过程的拟合略差,模拟产量略偏低。CAMM1.0评价淮河流域夏玉米年际干旱减弱而涝渍增加的趋势与实际基本相符。     

An Efficient Non-iterative Bulk Parametrization of Surface Fluxes for Stable Atmospheric Conditions Over Polar Sea-Ice

In climate and weather prediction models the near-surface turbulent fluxes of heat and momentum and related transfer coefficients are usually parametrized on the basis of Monin–Obukhov similarity theory (MOST). To avoid iteration, required for the numerical solution of the MOST equations, many models apply parametrizations of the transfer coefficients based on an approach relating these coefficients to the bulk Richardson number \(Ri_{b}\). However, the parametrizations that are presently used in most climate models are valid only for weaker stability and larger surface roughnesses than those documented during the Surface Heat Budget of the Arctic Ocean campaign (SHEBA). The latter delivered a well-accepted set of turbulence data in the stable surface layer over polar sea-ice. Using stability functions based on the SHEBA data, we solve the MOST equations applying a new semi-analytic approach that results in transfer coefficients as a function of \(Ri_{b}\) and roughness lengths for momentum and heat. It is shown that the new coefficients reproduce the coefficients obtained by the numerical iterative method with a good accuracy in the most relevant range of stability and roughness lengths. For small \(Ri_{b}\), the new bulk transfer coefficients are similar to the traditional coefficients, but for large \(Ri_{b}\) they are much smaller than currently used coefficients. Finally, a possible adjustment of the latter and the implementation of the new proposed parametrizations in models are discussed.     

关于积云增雨和实施方案的探讨

在综合雷雨云式的积云降水特点和归纳观测及理论结果的基础上,用数值模拟研究了阵雨形成机制,发现雷雨云式的积云结构类似于雹云,也存在着水平风“零域”和成雨“穴道”,大粒子群向这里集中并累积,然后再下泻成阵雨。据此提出了积云人工增雨的动力学根据和设计实施方案的要领,并给出了积云人工增雨作业部位、时机的概念模型。     

南京"2003.2.10"寒潮降温降雨(雪)天气过程初步分析

对2003年2月10日至11日发生在南京的一次寒潮降温降雨(雪)的主要影响系统，如阻塞高压、高空槽、横槽、中低层暖式切变线、地面冷锋以及地面暖低压倒槽等进行了描述和分析，并对某些物理量进行了分析。分析得出：这次寒潮降温降雨(雪)天气是在高空500hPa乌拉尔山阻塞高压崩溃、巴尔喀什湖至准噶尔盆地的横槽转竖，冷空气从西北路径东移南下，中低层冷槽与暖式切变线接合以及地面冷锋切入暖低压倒槽等天气系统的作用下发生的，并归纳出此类天气预报的指示系统，对于做好寒潮天气预报具有指导作用。     

Reanalysis of western Pacific typhoons in 2004 with multi-satellite observations

Summary A pilot tropical cyclone reanalysis project was conducted to construct a reliable, high temporal and spatial resolution tropical cyclone dataset for selected western Pacific typhoons in summer 2004, with the application of the latest satellite observations and a 4-dimensional variational data assimilation method. Primary data used for the reanalysis include SSM/I rain rate, GOES-retrieved upper-level wind, QuikSCAT surface wind, Aqua AIRS/AMSU retrieved temperature and moisture profiles, and JTWC best track data. A regular reanalysis procedure was established and up to 12 western Pacific typhoons have been reanalyzed. The reanalysis period covers the entire life cycle of a tropical cyclone, from a few days prior to its genesis to its final decay stage. A preliminary analysis shows that the reanalysis product significantly improves typhoon intensity, structure, and track, compared to the NCEP operational final analysis. The validation of the TC structure against independent observations shows that the reanalysis reproduces well the asymmetric characteristics of TC rain bands and cloud bands. A further modeling experiment with an initial condition from the reanalysis product reveals a significant improvement in typhoon intensity forecast compared to a parallel experiment with an initial condition from the NCEP final analysis, which provides a further indication of quality of the tropical cyclone reanalysis. The reanalysis product and the raw observational data will soon be posted on the data server of the IPRC Asia-Pacific Data-Research Center () for public use.     

Effects of mesoscale sea-surface temperature fronts on the marine atmospheric boundary layer

A numerical modelling study is presented focusing on the effects of mesoscale sea-surface temperature (SST) variability on surface fluxes and the marine atmospheric boundary-layer structure. A basic scenario is examined having two regions of SST anomaly with alternating warm/cold or cold/warm water regions. Conditions upstream from the anomaly region have SST values equal to the ambient atmosphere temperature, creating an upstream neutrally stratified boundary layer. Downstream from the anomaly region the SST is also set to the ambient atmosphere value. When the warm anomaly is upstream from the cold anomaly, the downstream boundary layer exhibits a more complex structure because of convective forcing and mixed layer deepening upstream from the cold anomaly. An internal boundary layer forms over the cold anomaly in this case, generating two distinct layers over the downstream region. When the cold anomaly is upstream from the warm anomaly, mixing over the warm anomaly quickly destroys the shallow cold layer, yielding a more uniform downstream boundary-layer vertical structure compared with the warm-to- cold case. Analysis of the momentum budget indicates that turbulent momentum flux divergence dominates the velocity field tendency, with pressure forcing accounting for only about 20% of the changes in momentum. Parameterization of surface fluxes and boundary-layer structure at these scales would be very difficult because of their dependence on subgrid-scale SST spatial order. Simulations of similar flow over smaller scale fronts (<5 km) suggest that small-scale SST variability might be parameterized in mesoscale models by relating the effective heat flux to the strength of the SST variance.     

Observing and Simulating Wind-Turbine Wakes During the Evening Transition

Wind-turbine-wake evolution during the evening transition introduces variability to wind-farm power production at a time of day typically characterized by high electricity demand. During the evening transition, the atmosphere evolves from an unstable to a stable regime, and vertical stratification of the wind profile develops as the residual planetary boundary layer decouples from the surface layer. The evolution of wind-turbine wakes during the evening transition is examined from two perspectives: wake observations from single turbines, and simulations of multiple turbine wakes using the mesoscale Weather Research and Forecasting (WRF) model. Throughout the evening transition, the wake’s wind-speed deficit and turbulence enhancement are confined within the rotor layer when the atmospheric stability changes from unstable to stable. The height variations of maximum upwind-downwind differences of wind speed and turbulence intensity gradually decrease during the evening transition. After verifying the WRF-model-simulated upwind wind speed, wind direction and turbulent kinetic energy profiles with observations, the wind-farm-scale wake evolution during the evening transition is investigated using the WRF-model wind-farm parametrization scheme. As the evening progresses, due to the presence of the wind farm, the modelled hub-height wind-speed deficit monotonically increases, the relative turbulence enhancement at hub height grows by 50%, and the downwind surface sensible heat flux increases, reducing surface cooling. Overall, the intensifying wakes from upwind turbines respond to the evolving atmospheric boundary layer during the evening transition, and undermine the power production of downwind turbines in the evening.