风云三号微波观测资料的海雾同化模拟

数值模式边界层物理过程和初值场条件的欠缺是海雾模拟准确率偏低的主要原因。本文为改进模式初始场,开展针对海雾模拟的卫星观测资料同化试验,将质量控制和偏差订正后的FY-3A卫星微波湿度计(MWHS)和微波温度计(MWTS)的优选通道数据,经3DVar(Three-dimensional variational data assimilation)进入WRF模式以试验其对黄、渤海海雾模拟的影响。通过分析静止气象卫星检测到的海雾区模拟大气温、湿场同化分析增量,发现代表环境场条件的海雾类型及模式对其模拟能力的差异,显著影响了同化效果,表现为同化对模式模拟能力较强的平流冷型海雾改进明显,对模拟效果不甚理想的非典型混合过程中的暖型海雾阶段则基本没有改进效果。为寻找原因,对包括海雾区低层大气模拟场逆温结构在内的温湿度场与邻近探空观测进行了对比,分析了随时间演变的海雾格点温、湿场同化分析增量,发现冷型海雾区格点同化分析增量能弥补观测—模拟差异,使气温调减,相对湿度调增,同时水汽和液态水也出现负相关的变化,边界层相关热力动力场同化分析增量在垂直方向也有配合迹象,相比而言,主体是暖型海雾的非典型过程则未见此类现象和其他的有益调整迹象。

基于多层海雾环境的偏振光传输特性分析

海雾中的粒子在垂直向上对流层中显示出不同的分布状态,根据海洋大气环境的特征,对海雾环境粒子分布进行分层划分,进而分析偏振光通过多层海雾环境后偏振度的变化规律。首先建立多层蒙特卡洛仿真模型,分析光子透过多层介质与粒子发生碰撞后的散射规律,并且基于环境湿度这一因素对介质粒子半径比和折射率的影响,对原模型进行修正,分析不同湿度对粒子物理特性的影响规律,同时对湿度增加与偏振度的关系进行了分析。然后设计并搭建了适用于光传输检测的多层海雾模拟系统,实现对海雾环境的分层复制模拟,并进行了450 nm、532 nm和671 nm可见光波段激光传输测试。仿真与测试结果表明,针对相同偏振态的不同入射光波长来说,671 nm波长的偏振度普遍高于450 nm和532 nm波长的偏振度,并且随着湿度的增加,波长越长的光的偏振度优势越明显;针对同一波长的不同偏振态来说,圆偏振光的偏振度普遍高于线偏振光的偏振度,并且随着湿度的增加,圆偏振光与线偏振光的偏振度差异将更为明显。最后对仿真结果与测试结果的一致性进行分析,两者的符合度普遍高于84%,说明在湿度较大的海雾环境中,较长波长的圆偏振光拥有更优异的保偏特性,更加适用于复杂海雾环境下的光信息传递。

An Analysis and Modeling Study of a Sea Fog Event over the Yellow and Bohai Seas

In this study, a sea fog event which occurred on 27 March 2005 over the Yellow and Bohai Seas was investigated observationally and numerically. Almost all available observational data were used, including satellite imagery of Geostationary Operational Environmental Satellite （GOES）-9, three data sets from station observations at Dandong, Dalian and Qingdao, objectively reanalyzed data of final run analysis （FNL） issued by the National Center for Environmental Prediction （NCEP） and Regional Atmospheric Modeling System （RANIS） results. Synoptic conditions and fog characteristics were analyzed. The fog formed when warm, moist air was advected northwards over the cool water of the Yellow and Bohai Seas, and dissipated when a cold front brought northerly winds and cool, dry air. In order to better understand the fog formation mechanism, a high-resolution RAMS modeling with a 6km×6km grid, initialized and validated by FNL data, was designed. A 48h modeling that started from 12 UTC 26 March 2005 reproduced the main characteristics of this sea fog event. The simulated lower visibility area agreed reasonably well with the sea fog region identified from the satellite imagery. Advection cooling effect seemed to play a significant role in the fog formation.

Seabed scene simulation and its realization in extending Vega

Realistic simulation of underwater scene is always difficult because of the special and complex vision effects in underwater space. Seabed is an important part of underwater environment. This paper describes the methods for seabed scene simulation based on OpenGL. It includes construction of fluctuant terrain based on the random sinusoidal algorithm, simulation of seabed flicker effect by means of circular texture mapping and generation of turbidity effect by using fog techniques. For the application based on the leading high level 3D development environment - Vega, underwater scene simulation is still a difficulty since there is no module for it. Rased on the analysis of Vega software and the research on seabed scene simulation methods, a Vega extending module named 'Underwater Space' was created through developing module class and extending lynx interface. The module class was designed through developing DLL written in C + + . The Lynx was extended through developing keyword configure file, GUI configure file and lynx plug-in DLL. The problem that Vega can't simulate underwater space, is elementarily resolved. The results show that this module is efficient, easy using, and the seabed scene images are vivid.

Recent Observations and Modeling Study About Sea Fog over the Yellow Sea and East China Sea

This review presents some of the latest achievements in sea fog research,including fog climatology,fog structure in the marine atmospheric boundary layer,and numerical simulations and forecasting of fog.With the development of atmospheric observational techniques and equipments,new facts about sea fog are revealed.The mechanisms involved in the formation,development and dissipation of sea fog are further explored with the help of advanced atmospheric models.

Comparison Study Between Observation and Simulation for Sea Fog over the Yellow Sea in May 2009

In this paper, almost all available observational data and the latest 6.0 version of Regional Atmospheric Modeling System (RAMS) model were employed to investigate a heavy sea fog event occurring over the Yellow Sea from 2 to 5 May 2009. The evolutionary process of this event was documented by using Multifunctional Transport Satellites-1 (MTSAT-1) visible satellite imagery. The synoptic situation, sounding profiles at two selected stations were analyzed. The difference between the air temperature and sea surface temperature during the sea fog event over the entire sea region was also analyzed. In order to better understand this event, an RAMS modeling with a 15 km×15 km resolution was performed. The model successfully reproduced the main characteristics of this sea fog event. The simulated height of fog top and the area of lower atmospheric visibility derived from the RAMS modeling results showed good agreement with the sea fog area identified from the satellite imagery. Examinations of both observational data and RAMS modeling results suggested that advection cooling seemed to play an important role in the formation of this sea fog event.