The role of surface waves in the ocean mixed layer

Previously, most ocean circulation models have overlooked the role of the surface waves. As a result, these models have produced insufficient vertical mixing, with an under - prediction of the ,nixing layer （ML） depth and an over - prediction of the sea surface temperature （SST）, particularly during the summer season. As the ocean surface layer determines the lower boundary conditions of the atmosphere, this deficiency has severely limited the performance of the coupled ocean - atmospheric models and hence the climate studies. To overcome this shortcoming, a new parameterization for the wave effects in the ML model that will correct this systematic error of insufficient mixing. The new scheme has enabled the mixing layer to deepen, the surface excessive heating to be corrected, and an excellent agreement with observed global climatologic data. The study indicates that the surface waves are essential for ML formation, and that they are the primer drivers of the upper ocean dynamics; therefore, they are critical for climate studies.     

世界海洋蒸发波导时空统计规律研究

The statistical features of the evaporation duct over the global ocean were comprehensively investigated with reanalysis data sets from the National Centers for Environmental Prediction.These data sets have time and spatial resolutions of 1 h and 0.313°×0.312°,respectively.The efficiency of the analysis was evaluated by processing weather buoy data from the Pacific Ocean and measuring propagation loss in the Yellow Sea of China.The distribution features of evaporation duct height(EDH) and the related meteorological factors for different seas were analyzed.The global EDH is generally high and demonstrates a latitudinal distribution for oceans at low latitudes.The average EDH is approximately 11 m over oceans beside the equator with a latitude of less than 20°.The reasons for the formation of the global EDH features were also analyzed for different sea areas.     

Evaluation of ENVISAT ASAR data for sea surface wind retrieval in Hong Kong coastal waters of China

The C-band wind speed retrieval models, CMOD4, CMOD - IFR2, and CMOD5 were applied to retrieval of sea surface wind speeds from ENVISAT （European environmental satellite） ASAR （advanced synthetic aperture radar） data in the coastal waters near Hong Kong during a period from October 2005 to July 2007. The retrieved wind speeds are evaluated by comparing with buoy measurements and the QuikSCAT （quick scatterometer） wind products. The results show that the CMOD4 model gives the best performance at wind speeds lower than 15 m/s. The correlation coefficients with buoy and QuikSCAT winds are 0.781 and 0.896, respectively. The root mean square errors are the same 1.74 m/s. Namely, the CMOD4 model is the best one for sea surface wind speed retrieval from ASAR data in the coastal waters near Hong Kong.     

A forecasting model for wave heights based on a long short-term memory neural network

To explore new operational forecasting methods of waves, a forecasting model for wave heights at three stations in the Bohai Sea has been developed. This model is based on long short-term memory(LSTM) neural network with sea surface wind and wave heights as training samples. The prediction performance of the model is evaluated,and the error analysis shows that when using the same set of numerically predicted sea surface wind as input, the prediction error produced by the proposed LSTM model at Sta. N01 is 20%, 18% and 23% lower than the conventional numerical wave models in terms of the total root mean square error(RMSE), scatter index(SI) and mean absolute error(MAE), respectively. Particularly, for significant wave height in the range of 3–5 m, the prediction accuracy of the LSTM model is improved the most remarkably, with RMSE, SI and MAE all decreasing by 24%. It is also evident that the numbers of hidden neurons, the numbers of buoys used and the time length of training samples all have impact on the prediction accuracy. However, the prediction does not necessary improve with the increase of number of hidden neurons or number of buoys used. The experiment trained by data with the longest time length is found to perform the best overall compared to other experiments with a shorter time length for training. Overall, long short-term memory neural network was proved to be a very promising method for future development and applications in wave forecasting.     

Impacts of sea spray on the boundary layer structure of Typhoon Imbudo

High winds in a typhoon over the ocean can produce substantial amounts of spray in the lower part of the atmospheric boundary layer, which can modify the transfer of momentum, heat, and moisture across the air-sea interface. However, the consequent effects on the boundary layer structure and the evolution of the typhoon are largely unknown. The focus of this paper is on the role of sea spray on the storm intensity and the structure of the atmospheric boundary layer. The case study is Typhoon Imbudo in July 2003. The results show that sea spray tends to intensify storms by increasing the sea surface heat fluxes. Moreover, the effects of sea spray are mainly felt in boundary layer. Spray evaporation causes the atmospheric boundary layer to experience cooling and moistening. Sea spray can cause significant effects on the structure of boundary layer. The boundary-layer height over the eyewall area east to the center of Typhoon Imbudo was increased with a maximum up to about 550 m due to sea spray, which is closely related with the enhancements of the heat fluxes, upward motions, and horizontal winds in this region due to sea spray.     

基于探空数据的南海表面波导统计特征研究

Based on the global position system(GPS) radiosonde data near the sea surface, the surface duct characteristics over the South China Sea(SCS) were statistically analyzed. The annual surface duct occurrence over the SCS was about 64%. Of the observed surface ducts, duct heights mainly distributed between 18 and 42 m, with M slopes in the range of –0.3 to –0.2 M units/m. Those ducts accounted for about 80% of the ducting cases. For the total profiles, the duct occurrences in a day changed slowly and were more than 60% in all times. The surface ducts formed more easily in the daytime than in the nighttime and most of the duct height were at bellow about 32 m.Additionally, The seasonal variation of the SCS ducts appeared to be evident, except that the mean duct thickness was almost constant, about 33 m for all seasons. The highest occurrence was about 71% in the autumn, followed by in the summer, spring and winter. In spring, their top-height existed more often at a height of more than 48 m.Their mean duct strength became stronger trend from spring to winter, with the M-slope in the range between–0.26 and –0.18 M units/m. Those results agreed well with other studies, provided considering the data resolution.The statistical analysis was reliable and gave the duct estimation for the SCS. Such duct climatology not only has important implications for communication systems and the reliability of the radar observation, but also can provide useful information to improve the accuracy of the meteorological radar measurements.     

南海混合层近惯性能通量的时空变化

On the basis of the QSCAT/NCEP blended wind data and simple ocean data assimilation(SODA), the wind-induced near-inertial energy flux(NIEF) in the mixed layer of the South China Sea(SCS) is estimated by a slab model, and the model results are verified by observational data near the Xisha Islands in the SCS. Then, the spatial and temporal variations of the NIEF in the SCS are analyzed. It is found that, the monthly mean NIEF exhibits obvious spatial and temporal variabilities, i.e., it is large west of Luzon Island all the year, east of the Indo-China Peninsula all the year except in spring, and in the northern SCS from May to September. The large monthly mean NIEF in the first two zones may be affected by the large local wind stress curl whilst that in the last zone is probably due to the shallow mixed layer depth. Moreover, the monthly mean NIEF is relatively large in summer and autumn due to the passage of typhoons. The spatial mean NIEF in the mixed layer of the SCS is estimated to be about 1.25 m W/m2 and the total wind energy input from wind is approximately 4.4 GW. Furthermore, the interannual variability of the spatial monthly mean NIEF and the Ni?o3.4 index are negatively correlated.     

Examination of wind-wave interaction source term in WAVEWATCH III with tropical cyclone wind forcing

Results of drag coefficient(CD) from field observations and laboratory wave tank experiments indicate that the operational wave model can overestimate wind energy input under high wind conditions. The wind-wave interaction source term in WAVEWATCH Ⅲ has been modified to examine its behavior with tropical cyclone wind forcing. Using high resolution wind input,numerical experiments under idealized wind field and tropical cyclone Bonnie(1998) were designed to evaluate performance of the modified models. Both experiments indicate that the modified models with reduced CD significantly decrease wind energy input into the wave model and then simulate lower significant wave height(SWH) than the original model. However,the effects on spatial distribution of SWH,mean wavelength,mean wave direction,and directional wave spectra are insignificant. Due to the reduced wind energy input,the idealized experiment shows that the modified models simulate lower SWH than the original model in all four quadrants. The decrease in the front quadrants is significantly larger than that in the rear quadrants;it is larger under higher winds than lower winds. The realistic experiment on tropical cyclone Bonnie shows that the modified model with the various downward trends of CD in high winds creates a simulation that agrees best with scanning radar altimeter observations.     

Wave-tide-surge coupled simulation for typhoon Maemi

The main task of this study focuses on studying the effect of wave-current interaction on currents, storm surge and wind wave as well as effects of current induced wave refraction and current on waves by using numerical models which consider the bottom boundary layer and sea surface roughness parameter for shallow and smooth bed area around Korean Peninsula. The coupled system (unstructured-mesh SWAN wave and ADCIRC) run on the same unstructured mesh. This identical and homogeneous mesh allows the physics of wave-circulation interactions to be correctly resolved in both models. The unstructured mesh can be applied to a large domain allowing all energy from deep to shallow waters to be seamlessly followed. There is no nesting or overlapping of structured wave meshes, and no interpolation is required. In response to typhoon Maemi (2003), all model components were validated independently, and shown to provide a faithful representation of the system’s response to this storm. The waves and storm surge were allowed to develop on the continental shelf and interact with the complex nearshore environment. The resulting modeling system can be used extensively for prediction of the typhoon surge. The result show that it is important to incorporate the wave-current interaction effect into coastal area in the wave-tide-surge coupled model. At the same time, it should consider effects of depth-induced wave breaking, wind field, currents and sea surface elevation in prediction of waves. Specially, we found that: (1) wave radiation stress enhanced the current and surge elevation otherwise wave enhanced nonlinear bottom boundary layer decreased that, (2) wind wave was significantly controlled by sea surface roughness thus we cautiously took the experimental expression. The resulting modeling system can be used for hindcasting (prediction) the wave-tide-surge coupled environments at complex coastline, shallow water and fine sediment area like areas around Korean Peninsula.     

The computation of maximum wind speeds of typhoon

-At present, it is still difficult to obtain an accurate maximum wind speed of typhoon with modern means,such as satellite survey , radar tracing and airplane reconnaissance. The performance of statistical equation established with observational maximum wind speed and the central pressure of typhoon is unstable ,and it is unreliable in operational use. Therefore a general pressure field model of typhoon is introduced in this paper based on atmospheric motion equations and formulas are derived for computing the maximum wind speed around typhoon center over sea surface . The theoretical curves derived from these formulas are in good agreement with those using the statistic empirical curves of typhoon pressure-wind relations over the western Pacific. Tests were conducted for typhoons which occurred in 1973 and in 1983 and the strongest typhoons selected each year during 1970 and 1978,the results were satisfactory. Meanwhile the analyses of computing results showed that the effect of Coriolis force could be     

基于NPS模型的南海蒸发波导中尺度数值模拟研究

蒸发波导是海上大气波导中发生概率最高、对海上舰艇和岸基雷达探测系统影响最大的一种波导类型,研究意义重大。本文搭建了一种基于NPS诊断模型的新型蒸发波导数值预报模式,对我国南海海域2014年11月1~5日的5 d海上蒸发波导分别进行了数值模拟。利用数值模拟数据与岸基铁塔实测数据分别绘制蒸发波导高度随时间的变化曲线,并进行误差分析,显示模拟结果与实测结果变化规律基本一致,统计计算这5 d的蒸发波导高度平均误差为1.289 m。这表明了本模式的可行性及其存在的模拟偏差。此外,利用本预报模式对南海海域2011年整年的蒸发波导进行了数值模拟,得到了12个月的蒸发波导时空分布特征,分析总结的规律与其它文献的研究结论基本一致。     

蒸发波导环境下风浪对电磁波传播影响的数值模拟研究

蒸发波导是一种特殊的大气波导,在其中传播的电磁波信号会被陷获在近海大气层中,实现超视距传播。受海表面温度、湿度、风速、微波频率等因素的影响,海洋蒸发波导环境中的微波传播特性起伏变化很大,规律十分复杂。以往的工作主要通过计算这些气象因素对蒸发波导条件下大气折射率剖面的影响来分析它们对路径损失的作用,其结果与实验数据仍有较大差异。本文在一定的蒸发波导条件下,利用一维分形海面模型产生海面“地形”,将其作为抛物方程电磁波传播模型的边界条件进行计算,得到相应的路径损失,并与传统计算方法进行对比,分析了不同蒸发波导高度、不同频率及不同接收天线高度时的数值模拟情况,可为舰艇通信系统或者雷达系统的设计提供相应的依据。     

基于非迭代海-气通量算法的蒸发波导预测模型研究

蒸发波导易发生在海洋等水体之上.为了深入研究蒸发波导预测模型的诊断预报技术,本研究依据目前最新的非迭代海-气通量算法,建立了非迭代通量算法蒸发波导预测模型-NEW模型,进而对新模型进行了敏感性试验,且用我国近海试验数据进行了检验.最后将NEW模型与目前使用广泛、效果较好的4种蒸发波导模型(即P-J模型、Babin模型、NPS模型和伪折射率模型)进行了对比分析,得到了不同模型蒸发波导高度随气象海洋要素变化的规律,结果表明非迭代通量算法模型与传统模型对不同海洋气象要素的敏感性响应是一致的.不稳定层结条件下NEW模型对蒸发波导的诊断结果接近于Babin模型和NPS模型,而稳定条件下略高于NPS模型.试验表明NEW模型可以有效地诊断预报蒸发波导.本研究系统阐述了非迭代通量算法模型的建立和适用情况,为蒸发波导预测诊断算法的更新和模型发展提出了新的思路.     

水平非均匀性蒸发波导诊断及其对雷达探测的影响

蒸发波导是发生在海气边界层的一种异常折射现象,因为其分布广、发生概率大,所以被认为是对海上电子装备影响最为显著的波导类型。然而由于其形成机制复杂,且在近岸地区存在水平不均匀性,使得目前非均匀蒸发波导的诊断及其应用还未能落实到实际工作中。针对这一现状,首先利用G L Geernaert的方法修正了Monin-Obukhov相似理论,将其扩展到海洋大气表面边界层不均匀条件下;其次在Babin模式的基础上引入张强普适函数的非线性修正因子与阵性风速,从而将蒸发波导诊断模式的适用范围拓展到近海沿岸地区和甚低风速条件下。并在此基础上研究了蒸发波导水平非均匀性对雷达探测的影响,得到了水平非均匀蒸发波导能够改变均匀波导环境下雷达的探测距离及其盲区的分布。     

蒸发波导条件下风速风向对电磁波传播的影响

海洋蒸发波导是重要的军事敏感要素,严重影响着海上电磁波的传播。风向、风速是决定蒸发波导强弱的重要因素,为精确模拟蒸发波导条件下的电磁波传播,准确评估预报雷达、通信等电子设备的性能,文中利用抛物线方程模型,结合粗糙度参数和蒸发波导条件下大气修正折射指数廓线模型来求解电磁波波动方程,基于电磁波传播的数值模拟结果,重点研究蒸发波导条件下风速和风向对电磁波传播的影响。并得到如下结论:在同一传播距离处,风速越大,海面粗糙度越大,海面电磁波传播损耗就越大;当电磁波传播方向与风向夹角为0°时,其传播路径损耗远远大于在45°或90°条件下,即顺风条件下电磁波传播损耗大于侧风。     

由海面蒸发波导预报平流海雾的方法

在实际工作中发现：当雷达探测到海面存在蒸发波导现象时,该区域傍晚或次日出现平流海雾的概率很大,反之,当海面出现平流雾时,海面存在蒸发波导的概率也很大。本文试图阐明二者之间的关系,进而提出一种预报平流海雾的新方法。     

欧美国家海洋空间规划研究进展

在人类活动向海洋不断扩张和海洋环境面临严重生态危机的现实背景下,欧美等海洋发达国家逐步形成了以生态系 统为基础的海洋空间规划理念。自2006 年联合国教科文组织召开第一届海洋空间规划国际研讨会以来,国外海洋空间规划 比较重视建立系统的空间规划理论与方法体系。一方面,注重构建海洋空间规划的理论基础,包括多类型的空间范畴,多目 标的规划管理,基于生态系统的管理,跨部门的综合管理等;另一方面,注重建立海洋空间规划的实施框架和方法,包括逐 步走向生态系统管理的技术框架,相关利益者的识别,海洋环境影响评价和生态价值评估等;此外,欧美等海洋发达国家从 用海现状、环境影响、海洋生态价值功能等进行区域实践论证,产生了许多对我国有借鉴意义的区域实践经验。     

海上蒸发波导的预测方法综述

综述了海上蒸发波导的预测方法,根据预测方法的原理及实现方法不同,将已有的蒸发波导预测方法归纳为基于气象水文要素数据的预报方法、基于气象卫星数据的反演计算方法、基于雷达数据的反演计算方法和中尺度模式同化方法等四大类。对每个类中的主要方法的基本原理及优缺点进行了具体分析和总结,最后给出了蒸发波导预测方法中存在的问题及研究进展情况,对未来研究方向及趋势进行了预计。     

蒸发波导环境测量方法对比分析

蒸发波导现象显著影响海上电磁波传播,快速获取大范围精确的修正折射率参数成为了蒸发波导研究热点。文中分析了现有的蒸发波导预测模型,对其中的经典模型进行了仿真,对比不同模型的仿真结果,总结了模型方法预测波导高度及修正折射率廓线的不足。然后从硬件角度出发对比现有蒸发波导测量系统原理、测量精度及适用条件,分析测量系统引入的误差源进而给出了不同测量系统的改进方向,总结出修正折射率廓线测量系统应具备的测量精度及数据条件。最后通过方法间对比及蒸发波导实测数据的应用过程分析,对不同方法未来的研究方向和发展趋势进行了展望。     

近海面蒸发波导和大气负折射的统一监测模型研究

近海面的蒸发波导和大气负折射都是海洋大气表面层的异常折射结构,两者对电磁波传播都具有重要影响。利用M-O近地层相似理论推导了蒸发波导的模型,利用等效蒸发波导高度推导了大气负折射与蒸发波导的统一监测模型及其廓线结构参数的bulk计算方法,比较分析了蒸发波导与大气负折射在廓线结构方面的特征和差异,并利用2002年5月福建平潭岛的试验数据验证分析了大气负折射监测模型机廓线计算方法的适用性。