晋中秋白菜生长后期冻害天气预报研究及对策

依据秋白菜冻害发生前不同的天气条件,将冻害分为干冷型和湿冷型2种类型,并针对秋白菜的生理特点及对气象观测资料的研究,归纳出2型的冻害气象指标。在反查了大量的历史天气图基础上,选取08时天气图上某一范围作为预报关键区,建立了2型冻害的72h、48h、24h各预报时效的进型条件、起报条件和消空指标,综合组成了秋白菜的冻害预报系统。在1992年～1999年的试报中,各预报时效准确率平均达86%,取得了较满意得效果。     

集合敏感性分析在北半球中纬度高影响天气中的应用

总结回顾了集合敏感性分析(ESA)在诊断中纬度高影响天气预报不确定性中的应用。作为一个简单高效且不需要大量计算资源的方法,集合敏感性分析主要被应用在中纬度气旋、台风或飓风的温带转换,以及在强对流过程中诊断预报误差和不确定性的来源。集合敏感性方法极有灵活性,可以根据实际需要改变不同的预报变量和初始场。在对2010年美国东岸圣诞节暴风雪的分析中,集合敏感性分析通过三种形式来诊断了预报不确定性的初值敏感性,即基于EOF分析的敏感性、预报差别的敏感性,以及基于短期预报误差的向前积分敏感性回归。三种方法证实气旋路径的不确定性主要和位于美国南部大平原的短波槽初始误差相关。此外,气旋强度的不确定性还和产生于北太平洋向下游延伸的罗斯贝波列相关。集合敏感性分析方法对于分析中纬度气旋的不确定性、诊断初值敏感性、分析误差发展机制都非常有效。集合敏感性分析也被应用于分析台风/飓风的温带气旋转换过程的不确定性。在对2019年美国首个主要登陆台风Dorian的分析中发现,加拿大CMC的集合预报主要不确定性来自于强度的不确定性,而这个不确定性与初始时刻的大尺度环流型有关,较连贯的信号可以追溯至东北太平洋的前倾槽。而NCEP和ECMWF的不确定性主要在于气旋位置的东北—西南向移动,而敏感性主要和飓风系统本身(即其北部低压区和中纬度槽)的锁相有关。分析结果进一步验证了集合敏感性分析对诊断模式之间的不一致性,以及模式成员之间不一致性的不确定性来源和发展过程的可靠性。集合敏感性分析方法综合了集合预报、资料同化和敏感性分析,因此对于资料同化技术改进、诊断模式误差(或者缺陷)、附加(目标)观测最优策略,以及评估观测对预报的影响等都有重要意义。同时可以更有效地利用集合预报信息,帮助预报员提高情景意识,最终减少高影响天气预报中的决策失误。     

Intercomparisons of land-surface parameterizations coupled to a limited area forecast model

The goal of the Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) is to improve the understanding of the interactions between the atmosphere and the continental surface in climate and weather forecast models. In PILPS Phase 4(b), selected schemes are coupled to the Limited Area Prediction System (LAPS) developed by the Australian Bureau of Meteorology. To facilitate the comparison of PILPS schemes' behavior within LAPS, a single mode of coupling is selected: explicit coupling. This type of coupling is more flexible and avoids most of the problems raised when interchanging the surface schemes. Exploratory tests are conducted. Initially, experiments are run in which the land-surface schemes use the same parameters as in their original host models. Then, in other runs, the most important surface parameters are set constant in an attempt to reduce the scatter amongst the schemes' results. In order to understand the impact of initialisation of soil moisture on the schemes' results some extreme cases (wet and dry) are performed. The partitioning between surface fluxes is studied as well as the soil moisture budget. Both regional and local results are analysed. Sensitivity between LSS is found in the precipitation field with rainfall over the Australian continent altering by about 20%, but no significant change is found in the net radiation. The scatter in the surface energy fluxes amongst the schemes is large (up to 300 W m⁻² locally, during the daytime peak) but is seldom affected by the choice of surface parameters. The dynamical range of flux partitioning between extremely dry and wet initialisation varies strongly amongst the schemes. Some major shortcoming with the BUCKET approach are seen in the re-evaporation of convective precipitation over dry land, in the very large evaporation from wet surfaces and the diurnal cycle of surface temperature.     

我国首座卫星信道数字化地震台网落成

文章较为详细地介绍了我国第一座卫星信道数字化地震观测台网各配套仪器的性能,使用环境及整套系统的运行情况和目前在地震观测中所起的作用。作者展望了该系统的发展前景及其对我国地震观测事业的影响。     

Some applications of humidity profiles estimated from INSAT infra red digital cloud imagery data

Moisture profiles have been estimated over the region bounded by the latitudes 40°N and 40°S and longitudes 30°E to 130°E using INSAT digital infra red cloud imagery data. The representativeness of these profiles in representing moisture field associated with the development and movement of synoptic scale systems during the period September 15th, 1996 to March 31st, 1997 has been examined. It has been shown that the changes in the moisture field associated with the withdrawal of the southwest and northeast monsoons from the Indian sub-continent, development and movement of synoptic scale sytems (depressions, tropical cyclones and waves in easterlies) and equatorial troughs in the Indian Ocean could be clearly seen in humidity profiles. The initial development of tropical systems is first seen in the humidity field in the upper troposphere. These profiles could be used in monitoring the initial development and subsequent movement of tropical systems. Further the data on moisture distribution from the data gap regions of the Indian Ocean could be used as an additional source of moisture in numerical analysis and prognosis.     

On the conception ‘Fair weather condition’ in atmospheric electricity

Measurements of atmospheric electrical and meteorological parameters during different meteorological conditions indicate that the use of the conception Fair weather condition in atmospheric electricity is discussable. Fair weather contains a very broad stability range, from very unstable to strong stable stability of the atmosphere. For turbulent fluctuations of the electric parameters (the most local variations) the variations are determined by the micrometeorological processes for all stability conditions.These fluctuations represent frequencies greater than one period per four minutes. For lower frequencies (less local variations), however, the stability dependency increases. During stable conditions the electric field and vertical current density were nearly wholly influenced by the charges and their transfer in the nearest layer. During near-neutral and unstable conditions the electrical parameters were influenced by more separated sources. Measurements of how well Ohm's law was fulfilled also indicate the difficulties by using the conception fair weather. The measurements also indicate the importance of taking the convection current density into consideration in studies of the electric charge transfer in the atmosphere.In the more large scale of variations measurements of the electric field by radiosoundings show that 88% of the ionospheric potential is derived from the troposphere, where the meteorological processes are of fundamental character for the atmospheric electrical phenomena. The relatively great stability of the diurnal variation of the large scale or global electric field is also valid for the meteorological processes in this scale of variations.     

宁夏3～7天天气预报逐日滚动制作系统

在建立ＭＯＳ预报系统的基础上,充分利用实时资料库中所提供的各种气象信息,开发应用多种预报方法以及有关实况、气候背景资料、对ＭＯＳ预报结果逐步进行人机交互订正,最后生成对外发布的宁夏各地３￣７天中期天气预报。     

Numerical weather prediction relevant to the monsoon problem

In this short paper we have identified some of the modelling groups that have the capability of simulating or carrying out short range numerical weather prediction over the monsoon belt. We have next outlined some of the important and desirable ingredients for a multilevel primitive equation model over the tropics, with most of the emphasis on the present version of Florida State University's Tropical Prediction Model. Finally, we present briefly some important results based on the present version of our prediction models that relate to the NWP efforts over the monsoon belt. Here we have identified the importance of mountains, convection, the radiative heating balance of the earth's surface, and the planetary boundary layer over the Arabian Sea.     

Prediction of Space Weather Using an Asymmetric Cone Model for Halo CMEs

Halo coronal mass ejections (HCMEs) are responsible of the most severe geomagnetic storms. A prediction of their geoeffectiveness and travel time to Earth’s vicinity is crucial to forecast space weather. Unfortunately, coronagraphic observations are subjected to projection effects and do not provide true characteristics of CMEs. Recently, Michalek (Solar Phys. 237, 101, 2006) developed an asymmetric cone model to obtain the space speed, width, and source location of HCMEs. We applied this technique to obtain the parameters of all front-sided HCMEs observed by the SOHO/LASCO experiment during a period from the beginning of 2001 until the end of 2002 (solar cycle 23). These parameters were applied for space weather forecasting. Our study finds that the space speeds are strongly correlated with the travel times of HCMEs to Earth’s vicinity and with the magnitudes related to geomagnetic disturbances.     

The challenge of predicting the occurrence of intense storms

Geomagnetic super-storms of October and November 2003 are compared in order to identify solar and interplanetary variables that influence the magnitude of geomagnetic storms. Although these superstorms (D_ST < -300 nT) are associated with high speed CMEs, their DST indices show large variation. The most intense storm of November 20, 2003 (D_St∼ - 472 nT) had its source in a comparatively small active region and was associated with a relatively weaker, M-class flare, while the others had their origins in large active regions and were associated with strong X-class flares. An attempt has been made to implement a logistic regression model for the prediction of the occurrence of intense/superintense geomagnetic storms. The model parameters (regression coefficients) were estimated from a training data-set extracted from a data-set of 64 geo-effective CMEs observed during 1996–2002. The results indicate that logistic regression models can be effectively used for predicting the occurrence of major geomagnetic storms from a set of solar and interplanetary factors. The model validation shows that 100% of the intense storms (-200 nT < D_St < -100 nT) and only 50% of the super-intense (DST < -200 nT) storms could be correctly predicted.