支持向量机分类方法在天空云量预报中的应用

以2001年5月1日至2004年12月31日逐日武汉市地面、高空观测资料及欧洲中心24小时预报场等资料为基础,构建了不同的训练样本集,基于支持向量机方法进行了大量多因子的随机交叉验证,从而筛选出了包含最佳预报因子的训练样本集和相应的核参数g,建立了武汉市天空云量的预报模型。交叉验证结果表明预报模型是稳定性的、且具有较好的预报能力和推广应用能力。预报试验和实时预报的结果都显示出SVM方法对天空云量有一定的预报能力。     

Construction of vertical wind profile from satellite-derived winds for objective analysis of wind field

During summer Monex-79, a variety of observing systems viz. research ships, research aircrafts, constant pres-sure balloons and geostationary satellite etc. were deployed, besides the regular conventional observations The pur-pose of these additional systems was to make the best possible data for the studies on various aspects of monsoon cir-culation. The present study is aimed at the construction of vertical wind profile using cloud motion vectors obtained from GOES (I-O) satellite and to examine whether the constructed wind profiles improves the representation of the monsoon system, flow pattern etc. in the objective analysis. For this purpose, climatological normals of the wind field are considered as the initial guess and the objective analyses of the wind field are made with, first using only data from conventional observations over land areas, subsequently including the constructed winds from cloud motion vectors. These analyses are then compared with the standard analyses of wind field obtained from Quick Look Atlas by T. N. Krishnamurti et al. (1979).It is inferred that satellite estimated mean wind profiles show good agreement with the mean wind profiles of the research ships with RMS errors less than 5 mps below 500 hPa and less than 8 mps above 500 hPa. It is further infer-red that the inclusion of constructed winds shows a positive impact on the objective analysis and improvement is seen to be more marked in the data-sparse region of the Arabian sea. Analyses which include the constructed winds show better agreement with the standard analysis, than the analyses obtained using only conventional winds. Thus, results of our study suggest that the wind profiles constructed using cloud motion vectors are of potential use in objective analysis to depict the major circulation features over the Indian region.     

Comparison of model predicted cloud parameters and surface radiative fluxes with observations on the 100 km scale

Summary Cloud parameters and surface radiative fluxes predicted by regional atmospheric models are directly compared with observations for a 10-day period in late summer 1995 characterized by predominantly large-scale synoptic conditions. Observations of total cloud cover and vertical cloud structure are inferred from measurements with a ground-based network of Lidar ceilometers and IR-radiometers and from satellite observations on a 100 kilometer scale. Ground-based observations show that at altitudes below 3 km, implying liquid water clouds, there is a considerable portion of optically non-opaque clouds. Vertical distributions of cloud temperatures simultaneously inferred from the ground-based infrared radiometer network and from satellite can only be reconciled if the occurrence of optically thin cloud structures at mid- and high tropospheric levels is assumed to be frequent. Results of three regional atmospheric models, i.e. the GKSS-REMO, SMHI-HIRLAM, and KNMI-RACMO, are quantitatively compared with the observations. The main finding is that all models predict too much cloud amount at low altitude below 900 hPa, which is then compensated by an underestimation of cloud amount around 800 hPa. This is likely to be related with the finding that all models tend to underestimate the planetary boundary layer height. All models overpredict the high-level cloud amount albeit it is difficult to quantify to what extent due to the frequent presence of optically thin clouds. Whereas reasonably alike in cloud parameters, the models differ considerably in radiative fluxes. One model links a well matching incoming solar radiation to a radiatively transparent atmosphere over a too cool surface, another model underpredicts incoming solar radiation at the surface due to a too strong cloud feedback to radiation, the last model represents all surface radiative fluxes quite well on average, but underestimates the sensitivity of atmospheric transmissivity to cloud amount. Received August 31, 2000 Revised March 15, 2001     

Springtime cloud properties in the Taiwan Strait: synoptic controls and local processes

This paper examines the springtime cloud properties in the Taiwan Strait (TS), with emphases on their dependence on synoptic controls and local processes, using a suite of in situ and remote sensing observations. Cloud properties in the TS are inferred from a combination of MODIS and in situ observations and further classified into two synoptic conditions: continental cold air surge and frontal system. The study reveals a predominance of synoptic-scale controls in regulating the cloud properties in the TS. The sensitivity of clouds to the local thermodynamic mechanisms as well as the underlying surface conditions is fundamentally dependent on synoptic-scale flow patterns. The springtime clouds over the TS are commonly a mixture of stratocumulus and alto clouds. More precisely, there is a preponderance of stratocumulus over the strait. A preferential occupancy of stratiform alto clouds is recognized during cold air surge, whereas vertical development of cloud layers (mostly the stratocumulus) is commonly observed with frontal passage. The most distinct difference between the local clouds formation associated with the two synoptic conditions is the suppression of very low cloud and fog along with cold air surge. Stratus clouds and fog are present within the northward prefrontal airflow from warmer to colder water sites, along with an increase in stability relating to lower altitudes of boundary layer clouds. Although the rainfall occurrences are about the same for both synoptic conditions, the frontal rain amounts are larger on average.     

‘Evolution of a Storm-driven Cloudy Boundary Layer in the Arctic’

To investigate the processes of development and maintenance of low-level clouds during major synoptic events, the cloudy boundary layer under stormy conditions during the summertime Arctic has been studied using observations from the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment and large-eddy simulations (LES). On 29 July 1998, a stable Arctic cloudy boundary-layer event was observed after the passage of a synoptic low pressure system. The local dynamic and thermodynamic structure of the boundary layer was determined from aircraft measurements including the analysis of turbulence, cloud microphysics and radiative properties. After the upper cloud layer advected over the existing cloud layer, the turbulent kinetic energy (TKE) budget indicated that the cloud layer below 200 m was maintained predominantly by shear production. Observations of longwave radiation showed that cloud-top cooling at the lower cloud top has been suppressed by radiative effects of the upper cloud layer. Our LES results demonstrate the importance of the combination of shear mixing near the surface and radiative cooling at the cloud top in the storm-driven cloudy boundary layer. Once the low-level cloud reaches a certain height, depending on the amount of cloud-top cooling, the two sources of TKE production begin to separate in space under continuous stormy conditions, suggesting one possible mechanism for the cloud layering. The sensitivity tests suggest that the storm-driven cloudy boundary layer is possibly switched to the shear-driven system due to the advection of upper clouds or to the buoyantly driven system due to the lack of wind shear. A comparison is made of this storm-driven boundary layer with the buoyantly driven boundary layer previously described in the literature.     

天气形势对哈尔滨市空气质量影响的初步研究

应用2000～2003年哈尔滨市三年来空气污染物浓度资料,研究空气质量与天气形势的关系,总结出哈尔滨市冬春两季空气污染的主要天气形势特征,研制了哈尔滨市空气质量天气图客观预报方法。     

机载微波辐射计反演云液水含量的云物理方法

用一维层状云模式产生云样本,通过统计回归求得机载对空微波辐射计测云中路径积分液态水含量的反演系数,与用历史探空统计资料作相对湿度诊断产生云样本的反演方法进行了比较,并通过因素分析、数值模拟检验等方法对机载微波辐射计的探测误差进行估计。对2001年7月8日的个例分析表明,用云模式得到的统计样本,由于加入了对层状云物理过程的考虑,较为符合当天的实际天气情况,在一定程度上减小了由于背景大气条件、云温、云内含水量的垂直分布等的不确定性所引起的反演误差。对反演精度的数值模拟检验表明,各高度层的均方根相对误差在9.5%～12.7%之间,反演精度在所有高度上都高于原方法。对探测误差的因素分析表明,与仪器漂移及背景场引起的误差相比,由云液水垂直分布的不确定所引起的误差是不可忽略的。因此为进一步提高反演精度,根据实际宏观观测资料,对云模式产生的大量样本进行筛选,从中选取与实际云况较为符合的云样本进行拟合,结果表明,采用这一措施可以使反演精度得到进一步改善。     

Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data

Summary Simulations of the katabatic wind system over the Greenland ice sheet for the two months April and May 1997 were performed using the Norwegian Limited Area Model (NORLAM) with a horizontal resolution of 25 km. The model results are intercompared and validated against observational data from automatic weather stations (AWS), global atmospheric analyses and instrumented aircraft observations of individual cases during that period. The NORLAM is able to simulate the synoptic developments and daily cycle of the katabatic wind system realistically. For most of the cases covered by aircraft observations, the model results agree very well with the measured developments and structures of the katabatic wind system in the lowest 400 m. Despite NORLAM’s general ability of reproducing the four-dimensional structure of the katabatic wind, problems occur in cases, when the synoptic background is not well captured by the analyses used as initial and boundary conditions for the model runs or where NORLAM fails to correctly predict the synoptic development. The katabatic wind intensity in the stable boundary layer is underestimated by the model in cases when the simulated synoptic forcing is too weak. An additional problem becomes obvious in cases when the model simulates clouds in contrast to the observations or when the simulated clouds are too thick compared to the observed cloud cover. In these cases, the excessive cloud amount prevents development of the katabatic wind in the model. Received September 22, 2000/Revised March 16, 2001     

Ensemble data assimilation in a simple coupled climate model: The role of ocean-atmosphere interaction

A conceptual coupled ocean-atmosphere model was used to study coupled ensemble data assimilation schemes with a focus on the role of ocean-atmosphere interaction in the assimilation. The optimal scheme was the fully coupled data assimilation scheme that employs the coupled covariance matrix and assimilates observations in both the atmosphere and ocean. The assimilation of synoptic atmospheric variability that captures the temporal fluctuation of the weather noise was found to be critical for the estimation of not only the atmospheric, but also oceanic states. The synoptic atmosphere observation was especially important in the mid-latitude system, where oceanic variability is driven by weather noise. The assimilation of synoptic atmospheric variability in the coupled model improved the atmospheric variability in the analysis and the subsequent forecasts, reducing error in the surface forcing and, in turn, in the ocean state. Atmospheric observation was able to further improve the oceanic state estimation directly through the coupled covariance between the atmosphere and ocean states. Relative to the mid-latitude system, the tropical system was influenced more by ocean-atmosphere interaction and, thus, the assimilation of oceanic observation becomes more important for the estimation of the ocean and atmosphere.     

SOME STATISTICAL CHARACTERISTICS AND THE APPLICATION OF JAPANESE GMS LOW CLOUD WINDS

A statistical study of GMS low cloud winds in January,April,July and October,1983 shows that on an average,there exist 223.5 low cloud winds over western North Pacific each synoptic time.The low cloud winds have a diurnal change with more low cloud winds at 12 Z than at 00 Z. The wind fields at 850 hPa over western North Pacific,with and without application of low cloud winds, have been analyzed by a successive correction scheme.The results indicate that the flow patterns without low cloud winds are considerably distorted from short of wind data over the oceanic region.On the contrary,with application of low cloud winds,the flow patterns get much more improved over the oceanic region.     

降水性层云含水量跃变对应的微结构观测研究

利用长春2007年5月16日的一次层状云降水过程的飞机观测资料,并结合天气图、卫星云图及雷达回波等资料,综合分析了此次降水过程中粒子浓度、粒子谱、雷达垂直累积液态水（vertical integrated liquidwater,VIL）、微波辐射计积分液态水（liquid water content,LWC）以及地面雨强特征。研究表明,层状云微结构在水平方向上的起伏较大,出现两次典型的含水量跃变：第1次液态水跃变主要是因为粒子浓度增加;第2次液态水跃变是因为粒子浓度和粒子谱共同作用的结果;雷达VIL值和地面雨强两者呈正相关。     

1978年4月西南太平洋天气尺度云带的流场特征

西南太平洋经常存在着一支天气尺度云带。国外的研究成果以及我们根据1976—1978年三年卫星云图资料统计的结果表明,4月份这支云带频率的最高值在斐济群岛南部经所罗门群岛到伊里安岛西部一线(图略)。这支云带的南北跨度很大,最北可达5°S以北,最南可达40°S以南。云带活跃时可造成大范围的强烈降水和大风等灾害性天气现象。因而,对于这支云带的活动是应该进行研究的。但由于云带附近的资料较少,目前国内外对于这支云带的专题论述尚少。为了增强对它的了解,我们利用1978年热带天气图、卫星云图、卫星测风以及飞机报等资料对      

总云量产品在中国区域的分析检验

对ISCCP、常规观测以及MODIS总云量3种目前使用较多的总云量资料进行对比分析, 重点考察时间序列较长的ISCCP和常规观测总云量, 给出定量对比结果, 为使用这3种总云量资料的用户提供参考。研究表明:ISCCP与常规观测总云量相比, 7月二者的空间分布具有很好的一致性, 但白天ISCCP总云量比常规观测总云量多, 夜间却往往比常规观测总云量少, 二者误差分布表现为东部和东南部小于西北部的特征; 而1月二者空间分布比较一致, 但是在天山和东北地区高、低值中心经常不匹配, 这两个区域总云量资料需慎用; 7月ISCCP总云量精度明显高于1月。ISCCP、常规观测以及MODIS总云量对比结果表明:1月MODIS总云量比其他两种资料大, 而7月为最小。相对常规观测, 1月ISCCP总云量精度优于MODIS, 而7月MODIS总云量略优于ISCCP。     

A comparison of satellite-retrieved and simulated cloud coverage in the Baltic Sea area as part of the BALTIMOS project

A cloud-detection algorithm for METEOSAT first generation data has been developed. The algorithm utilizes solely infrared data from the METEOSAT thermal infrared window channel at around 11.5 μm. The developed algorithm estimates an assumed clear-sky brightness temperature from time series analysis on pixel bases. Land-/sea-depending dynamic thresholds are then utilized discriminating the infrared images in cloudy, undecided, and cloud free pixels. The cloud-detection algorithm has been validated against synoptic observations. The developed cloud-detection scheme has been applied to 10 years (1992–2001) of METEOSAT data, extracting cloud coverage statistics for the Baltic Sea catchment area. These have been compared to corresponding cloud coverage statistics derived from the BALTIMOS coupled model system. Building overall averaged values of the cloud coverage in the period from 1999 to 2001 gives results with very good agreement between simulation and observation: the total METEOSAT-derived cloud coverage amounts to 0.65 compared to 0.63 for BALTIMOS. In contrast, large discrepancies in the phase of the diurnal cycle of cloud coverage have been observed. A significant trend in total cloud amount was observed neither from the model nor from the satellite.     

一次特大暴雨垂直速度场的计算与分析

台风低压环流是影响我国东部地区的重要天气系统之一,对其垂直速度场进行合进的诊断分析是其中的一个关键问题。计算垂直速度的方法有很多种,对诊断分析而言,倾向于运动学方法。这一方法的基本思路是把最后的累积误差“均匀”分摊到各等压面层上去,主要困难是如何处理测风不精确所带来的计算误差。该文针对１９９９年８月１１～１２日高密和诸城两市特大暴雨的天气过程,对其垂直速度场进行了合理的计算和订正,结果令人满意。     

监测旱涝的云参数方法研究

类似于降水量Ｚ指标法对旱情的监测,进行了云参数监测旱情的研究,建立了云量监测的Ｚ指标法。以１９８７～１９９２ 年的总云量和高云量的候平均资料为基础,求出１９９２ 年不同时段的Ｚ值,得到以图形表示的各时段的旱情监测结果,并与同期降水量Ｚ指标法的结果作了比较。分析表明,用云参数的Ｚ指标法监测旱情是可行的。由于云参数既容易获得又不受地区限制,所以云参数监测旱情的Ｚ指标法有实际应用价值     

基于CloudSat–CALIPSO资料的全球不同类型云的水平和垂直分布特征

基于Cloud Sat-CALIPSO(Cloud Sat–Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observations)卫星观测资料,分析了全球总云量和8类云的云量、云底高、云顶高、云厚度的水平和垂直分布。分析结果表明,全球平均总云量为66.7%,其中卷云(Ci)和层积云(Sc)云量之和与其他6类云量总和相当,是全球云量最多的两类云。积状云云量呈现从赤道向极地递减的特征,层状云则相反,反映了二者不同的生成环境,同时下垫面地形和天气系统也严重影响云的分布。8类云的高度及厚度特征有显著差异。Ci的云底高度和云顶高度都较高,厚度则较薄;高层云(As)和高积云(Ac)的云底高度和云顶高度都位于大气中层,但As比Ac出现的高度高且厚度大;层云(St)、层积云和积云(Cu)的云底高度和云顶高度都很低,属于薄的低云;雨层云(Ns)和深对流云(DC)云底较低但云顶伸展很高,归属于厚云类。总体而言,海洋上云底高度较陆地低;赤道等大气不稳定地区,云底较高,云厚度较大;高原地区则表现出"高云不高,低云不低,云厚较薄"的特征。     

Cloud detection and analysis: A review of recent progress

The major types of cloud retrieval algorithms are reviewed with special emphasis being placed upon recent (i.e., post 1981/1982) developments and novel techniques. Satellite-based retrieval algorithms can be grouped into three classes: threshold methods, statistical procedures, and radiative transfer techniques, although each algorithm depends upon implicit, if not overt, inversion of the radiative transfer equation. The fourth type of retrieval differs very considerably from the satellite-based techniques as it depends upon surface-based measurements which are generally, but not always, human rather than computer based. There is a tendency to assume that surface-based observations, especially of total cloud amount, are “correct” but that they may differ from satellite-based retrievals because of the differences in viewing geometry. Actually the literature reveals surprisingly few intercomparison studies. None of the satellite-based techniques have yet been well-validated in a variety of situations, while surface-based observations are made in all terrain and climate regimes. Overall there seems to be good reason to believe that surface-based observations of cloud amount and especially of low cloud amount, character, and base height, can add significantly to satellite-based global nephanalyses now operational or currently being planned.     

The U.K. Meteorological Office mesoscale model

A mesoscale numerical weather prediction model has been developed at the U.K. Meteorological Office and is being tested as an operational short period forecasting tool. It has been constructed with a high degree of flexibility so that it can easily be used in other applications such as pollution dispersal modelling. It has a comprehensive suite of subgrid scale parametrizations modelling vertical turbulent transport, surface and cloud top radiation, surface exchanges, precipitation and penetrative convection. For routine use, a sophisticated initialisation scheme has been devised utilising inputs from its own previous forecast, a larger scale model, and surface synoptic observations. An important interactive analysis element has also been designed into this procedure. Results of cloud predictions are presented which show a useful level of skill.