浅谈县局的精细化天气预报

随着气象业务的现代化发展,气象服务的社会化和政府化被提上了日程,尤其是面临服务对象更加具体要求的县局,迫切需要相关的硬软件建设,然而在实际操作中,由于现有人员的知识水平和操作能力,真正能应用的只有那么几种,这就需要相关气象知识方面的学习,在通过专业培训和日常的经验积累,以便提高县局的精细化天气预报水平。

美国航空气象进展情况

作者参加了由中国民航总局气象部及美国IMSG公司举办的为期五周的高级航空气象培训班。通过对美国航空气象的直接感受,了解到美国在此领域的工作情况、业务系统,以及科研进展。作者将其见闻及感受与读者分享。

Local corrosion characteristics of a graphene-oxide-modified inner coating

Pencil hardness testing,electrochemical impedance spectroscopy,scanning electron microscopy,and scanning Kelvin probe microscopy were used to study the local corrosion characteristics of a graphene-oxide-modified inner coating.The effect of chloride concentration on the corrosion of the damaged inner coating was studied.The effects of chloride ions on damaged internal coatings and graphene-oxide-modified internal coatings were investigated.It was proposed to add graphene oxide into the epoxy coating to effectively inhibit the metal corrosion at the breakage.Because of the existence of graphene oxide(GO),the modified coating had a better physical property and had the effective infiltration of H2O and Cl^- into the coating.The results showed that graphene oxide coatings can give X80 steel better corrosion resistance in sodium chloride solution.

Optimizing GSHP Performance with ICT and RETScreen Plus

Under the RHO （renewable heat obligation）, public buildings in the Republic of Korea must achieve an 11% overall reduction to thermal energy consumption in buildings more than 10,0O0 m^2. RETScreen Plus is a freely available software tool developed by the Canadian Government which can be used to develop energy baselines of clean energy technologies. Using curve-fitting and statistical methods like CUSUM, the software can combine actual energy performance with near real time weather information from NASA. We developed a method to simulate the performance of a GSHP （ground source heat pump）. The three distinct energy zones involve heating, no-energy, and cooling. RETScreen Plus methodology is used to develop curve fits for each distinct zone as it builds a correlation with NASA satellite data. The model then factors the impact of ICT （information and control technologies） as a means to improve and lower the building＇s energy consumption. Two values of COP （coefficient of performance） are used--the first is a standard ICT COP, while the second is an improved ICT COP with a smart controller. This methodology can then be expanded to incorporate current and future smart meter technologies, time of use rates, energy price signals, demand response and electricity storage options. In summary, this methodology enables a building owner or energy conservation official to quickly and accurately determine the baseline energy for a building and the potential impacts of smart ICT technologies, especially for buildings equipped with GSHP technologies.

Localization and validation of an urbanized high-resolution land data assimilation system(u-HRLDAS)

This paper uses an urbanized high-resolution land data assimilation system(u-HRLDAS) to parameterize the urban land surface characteristics.The u-HRLDAS model is localized and developed in order to satisfy the need of the weather forecast in Beijing,China.The remote sensing data used to localize and drive u-HRLDAS include the soil type data and MODIS retrieved leaf area index(LAI) data.The evaporation and water depth for impervious surface in urban area are developed to improve the simulation of u-HRLDAS.The result of the urban weather forecast is used for the comparison based on the rapid update cycle system at Beijing Meteorological Bureau(BJ-RUC) without coupled with u-HRLDAS.The land surface temperature,land surface fluxes,and first layer soil moisture in several single sites and urban Beijing region by BJ-RUC are compared with u-HRLDAS after localization and development.The off-line simulation results indicate that compared with BJ-RUC,after the localization and development,u-HRLDAS can improve the simulation of land surface parameters and fluxes definitely.

Sensitivity of simulated short-range high-temperature weather to land surface schemes by WRF

The simulations of a heat wave occurring in southern Yangtze-Huaihe valley and southern China during late July,2003 were conducted to examine the sensitivity of simulated surface air temperature(SAT) to different land surface schemes(LSSs) using the Weather Research and Forecasting Model(WRF) Version 2.2 in the short-range mode for 24-h integrations.Initial and boundary conditions employed a National Centers for Environmental Prediction(NCEP) analysis.The results showed that,overall,simulated high-temperature weather is sensitive to different LSSs.Large differences in simulated SAT intensity,threat score,and simulated error under different schemes are identified clearly.In addition,some systematic differences are also in-duced by the LSSs.In terms of threat score from the three LSSs,SLAB is the best,and RUC is better than NOAH.SLAB gives the lowest absolute error for area-averaged SAT,and tends to depict the western Pacific subtropical high with the east-ernmost position at low levels.The LSSs modify the simulated SAT,primarily via the transfer of sensible heat from the land surface to the atmosphere.The physical mechanism of the positive feedback between atmospheric circulation and the SAT is unimportant,with"negative"feedback over most of the simulated areas.This study emphasizes the importance of improving LSSs in SAT forecasting by numerical models.