Hydrodynamic short-range weather forecast at points

Modern possibilities of operational hydrodynamic forecast of meteorological variables and weather characteristics at points are discussed. The development of geophysical hydrodynamics, computing techniques, and parametrization methods of physical processes necessitates passing to detailed hydrodynamic weather forecasts at points. Skill scores of such objective forecasts are higher than those of synoptic forecasts.     

Operative Scheme for the Short-range Complex Forecasting of Surface Air Temperature and Humidity

The statistical scheme is proposed for the forecast of surface air temperature and humidity using operative weather forecasts with 3–5-day lead time from the best forecasting hydrodynamic models as well as the archives of forecasts of these models and observational data from 2800 weather stations of Russia, Eastern Europe, and Central Asia. The output of the scheme includes the forecasts of air temperature for the standard observation moments with the period of 6 hours and extreme temperatures with the lead times of 12–120 hours. The accuracy of temperature and humidity forecasts for the period from July 2014 till June 2017 is much higher than that for the forecasts of original hydrodynamic models. The skill scores for extreme temperature forecasts based on the proposed method are compared with the similar results of the Weather Element Computation (WEC) forecasting scheme and forecasts by weathermen.     

Operative Scheme for the Short-range Complex Forecasting of Wind

We describe our scheme of the operative wind (and possible gusts) forecasts with the lead time up to 3 days and evaluate its success. It uses joint statistical processing of the results of several best operative forecasting hydrodynamic weather forecasting schemes. This approach allowed us to reduce the error with respect to original schemes. The operative forecast and its evaluation for the period of 2014–2016 is implemented for ~ 2800 cities of Russia, Belarus, and Central Asia. The update results are represented at the official site of the Hydrometeorological Center of Russia every day at 8:30 (a.m. and p.m.), Moscow time.     

预报员在未来天气预报中的作用探讨

在没有数值天气预报的年代 ,天气预报是由预报员作出的 ,随着数值天气预报业务水平的不断提高 ,它首先取代了预报员的天气形势预报 ,目前正进入取代部分天气要素预报的时代。未来 1 0～ 2 0年中尺度数值天气预报和集合预报以及后处理技术将获得重大进展 ,客观预报有可能取代目前预报员的一些预报项目 ,但是预报员的作用仍然是不可缺少的 ,但需要按与时俱进的观点 ,认真分析客观预报与主观预报的最佳结合点 ,以不断提高天气预报水平     

Medium-range forecast of air temperature and of some dangerous phenomena using the technique of the hydrometcenter of Russia

The improved forecasting technique is presented of weather element computation developed at the Hydrometcenter of Russia for the medium-range forecasting on the basis of statistical interpretation of the results of integration of hydrodynamic atmospheric models. The methodology of numerical forecasting algorithms is described. The methods of forecasting the air temperature for ten-day periods and the extreme air temperature detailed for every day for the territory of Russia are realized on the basis of the weather element computation technique. According to the resolution of the Central Methodical Committee for Hydrometeorological and Heliogeophysical Forecasts, these methods are introduced into the operational practice as the basic ones. The examples of forecasts and the data on their accuracy are given. The approach is developed to the solution of the problem of the dangerous phenomena forecast (of anomalously cold and anomalously hot weather) with the earliness of 48–96 h within the frameworks of this technique.     

中央气象台天气预报服务业务的过去、现在和将来

中央气象台成立到今天,已经走过60年的风雨历程。文章回顾中央气象台天气预报业务的发展历程、总结中央气象台天气预报业务的现有成就、展望中央气象台预报业务的未来,使我们更加坚定预报业务发展的信心。     

Addressing the necessity of the registration of the effects of causal mechanics in the example of a simple barotropic model of the atmosphere

Summary Considering the effects of causal mechanics on geophysical problems enables us to explain a number of phenomena, which cannot be explained from conventional positions. This paper shows that the introduction of the force of causality in a simple barotropic hydrodynamic model of weather forecasts results in the outcomes, which, on the one hand, can not be described from the positions of classical hydro-thermodynamics, whilst on the other hand, exist in nature.     

利用卫星资料制作天气系统移动预报

本文使用交叉相关及后向轨迹预报的方法,对未经人工处理的两张不同时次的卫星云图灰度进处理,在前一时次卫星云图上定义一个象素子集,并在后一时次卫星云图定义的区域内计算逐个象素子集的相关系数,然后找出与前一区域具有最大相关系数的象素子集,把这两个象素子集中心的连线看作是象素子集内云的移动。利用天气系统运动的连续性和保守的性质,找出其移动的规律,并由此客观地作出天气系统的移动趋势,预报取得了较为满意的结果。     

Downscaling of the global seasonal forecasts of hydrometcenter of Russia for North Eurasia

Proposed is a method of downscaling of the global ensemble seasonal forecasts of air temperature computed using the SLAV model of the Hydrometcenter of Russia. The method is based on the regression and suggests a probabilistic interpretation of forecasts based on the assessment of uncertainty associated with the regression and model forecast ensemble spread. The verification of the method for 70 weather stations of North Eurasia using the rank probability skill score RPSS showed a significant advantage of downscaled forecasts over the forecasts interpolated from the model grid points. It is concluded that the use of the downscaling method is reasonable for the long-range forecasting of the station air temperature for North Eurasia.     

Comparison of spatial interpolation methods for gridded bias removal in surface temperature forecasts

All numerical weather prediction (NWP) models inherently have substantial biases, especially in the forecast of near-surface weather variables. Statistical methods can be used to remove the systematic error based on historical bias data at observation stations. However, many end users of weather forecasts need bias corrected forecasts at locations that scarcely have any historical bias data. To circumvent this limitation, the bias of surface temperature forecasts on a regular grid covering Iran is removed, by using the information available at observation stations in the vicinity of any given grid point. To this end, the running mean error method is first used to correct the forecasts at observation stations, then four interpolation methods including inverse distance squared weighting with constant lapse rate (IDSW-CLR), Kriging with constant lapse rate (Kriging-CLR), gradient inverse distance squared with linear lapse rate (GIDS-LR), and gradient inverse distance squared with lapse rate determined by classification and regression tree (GIDS-CART), are employed to interpolate the bias corrected forecasts at neighboring observation stations to any given location. The results show that all four interpolation methods used do reduce the model error significantly, but Kriging-CLR has better performance than the other methods. For Kriging-CLR, root mean square error (RMSE) and mean absolute error (MAE) were decreased by 26% and 29%, respectively, as compared to the raw forecasts. It is found also, that after applying any of the proposed methods, unlike the raw forecasts, the bias corrected forecasts do not show spatial or temporal dependency.     

Medium-range forecasting of the extent of forest fire hazard from meteorological conditions

A new method of medium-range forecasting of a class of fire hazard is developed based on more precise accounting of accumulated moisture deficiency that is reflected by the Nesterov standard index. A physico-statistical interpretation of hydrodynamic forecasts of fields of meteorological variables is used for finding of prognostic values of the elements of the fire hazard index, using forecasts of maximum air temperature and precipitation in the Novosibirsk region from the earlier developed scheme. The initial set of variables contains data on the isobaric surface geopotential at 500 hPa, surface pressure, temperature at 850 hPa at the regular grid points at 2.5° × 2.5° resolution and their derivatives. For formulation of forecasting equations, the algorithm of model self-organization is used with external criteria. The input of initial information, forecast issuance, displaying results and their delivery to customers based on GIS-technologies are totally automated.     

美国天气预报的效果与预报估价

本文介绍美国天气预报的效果与对预报的估价。根据检验美国国家天气局从1967年到1985年逐日天气预报的效果表明，目前的预报水平明显高于15到20年前的预报水平。特别是客观预报效果明显的提高是值得引起注意的。预报的估价是一个很复杂的问题。本文主要介绍了美国的气象预报正确与否的得失估价及给经济带来获益或损失的经济评价工作。     

How much numerical products affect weather forecasting

The paper shows how much improvement can be achieved in weather forecasting by using NWP products. And for weather element forecasts, the types and number of NWP products highly impact on the quality of MOS forecasts and other utilities.     

Verification of route-based road weather forecasts

Route-based road weather forecasting is increasingly becoming the standard methodology for winter maintenance decision making (i.e. whether or not to salt the road network) by the highway industry in the UK. Route-based forecasting requires, for the first time, the accuracy of forecasts around routes and away from sensor sites to be verified. This is essential so that end users have confidence in the models’ ability to accurately predict road surface temperature at every point around their road network. A new methodology for verifying route-based forecasts is proposed that uses clustering techniques to create clusters of forecast points with similar geographical and infrastructure characteristics. This facilitates the analysis of forecast statistics at the cluster level, which is found to improve statistical assessment of model performance since verification can be achieved at a much higher resolution than the current methodology allows. Furthermore, verification of the full spatial extent of a route-based forecast can be achieved with fewer forecast points since the majority of thermal variations around the road network are well represented by the clustering solutions. A new sampling strategy is proposed that potentially enables verification at the full spatial and temporal resolution.     

The role of atmospheric internal variability on the prediction skill of interannual North Pacific sea-surface temperatures

The sensitivity of the sea-surface temperature (SST) prediction skill to the atmospheric internal variability (weather noise) in the North Pacific (20^°–60^°N;120^°E–80^°W) on decadal timescales is examined using state-of-the-art Climate Forecasting System model version 2 (CFS) and a variation of CFS in an Interactive Ensemble approach (CFSIE), wherein six copies of atmospheric components with different perturbed initial states of CFS are coupled with the same ocean model by exchanging heat, momentum and fresh water fluxes dynamically at the air-sea interface throughout the model integrations. The CFSIE experiments are designed to reduce weather noise and using a few ten-year long forecasts this study shows that reduction in weather noise leads to lower SST forecast skill. To understand the pathways that cause the reduced SST prediction skill, two twenty-year long forecasts produced with CFS and CFSIE for 1980-2000 are analyzed for the ocean subsurface characteristics that influence SST due to the reduction in weather noise in the North Pacific. The heat budget analysis in the oceanic mixed layer across the North Pacific reveals that weather noise significantly impacts the heat transport in the oceanic mixed layer. In the CFSIE forecasts, the reduced weather noise leads to increased variations in heat content due to shallower mixed layer, diminished heat storage and enhanced horizontal heat advection. The enhancement of the heat advection spans from the active Kuroshio regions of the east coast of Japan to the west coast of continental United States and significantly diffuses the basin-wide SST anomaly (SSTA) contrasts and leads to reduction in the SST prediction skill in decadal forecasts.     

NMC与HLAFS降水预报的比较

建立了一套既适用于对预报员降水预报评估,又适用于对数值预报模式降水预报评估的客观检验方法,从对１９９６年７－９月检验的结果分析表明预报员对大雨预报Ｔｓ评分高于ＨＬＡＦＳ并且除西北地区外,其它区的２４小时大雨预报都超过气候概率,表现为大于０的技巧评分,预报员和ＨＬＡＦＳ对大雨预报的漏报率多于空报率,而对小雨和中雨的预报相反,两者都是空报多于漏报,预报中对西北地区的降水预报漏报较多。     

概率天气预报的兴起及其社会经济意义

作者试图从辨证法观点分析概率天气预报之所以兴起的认识论动机和社会经济动机，指出了概率天气预报的产生既是人对天气气候变化同时具有确定性和随机性的认识不断深化的结果，也是社会经济发展到一定阶段，经济决策日益定量经和精细化客观需要，阐述了气象－经济决策这一跨学科领域与概率天气预报之间的相互关系，并有一个简单的气象经济决策模式从理论上和实例计算结果证明了概率天气预报比传统的天气预报更高的经济价值。     

Improving Numerical Weather Prediction in Low Latitudes by Optimizing Diffusion Coefficients

The horizontal diffusion coefficients of the operational model (T42L9) in numerical weather prediction are optimized by the steepest descent search of multi-dimensional optimization. In order to improve prediction accuracy in low latitudes, the optimum horizontal diffusion coefficients are chosen, with changing variation of the basic diffusion coefficient with the passage of time, and later forecasts are also made better. In view of the averages of forecast verifications of 9 cases, the forecasts with optimum diffusion coefficients are an improvement on operational forecasts. It means that the forecasts are got much better with optimum values of some important parameters by optimization in numerical weather prediction.     

天气预报文本自动生成系统的天气图编辑模块的设计与改进

天气预报文本自动生成是天气预报科学化、客观化、高效化的重要途径,借助于天气图编辑器,可使预报准确性得到提高。本文介绍了天气图编辑软件的设计思想和方法,以及在本系统原框架基础上,对其主要功能模块实现方法的改进和完善,并对图形编辑器与文本生成器之间的数据接口作了介绍。