Sensitivity of wave model predictions to wind fields in the Western Mediterranean sea

The paper compares the wave hindcast in the Western Mediterranean sea using the reanalysis wind fields from HIPOCAS and ERA-40 from ECMWF for November 2001. The study has concentrated on the Mediterranean coast of Spain where there are known difficulties with the wind and wave modelling. Two winter storms have been compared. The main differences between the significant wave heights using the ERA-40 reanalysis (ECMWF) and HIPOCAS reanalysis winds were observed to increase when moving southwards in the geographical domain at the offshore locations. Systematic negative biases of Hs were obtained with the ERA-40 data at all the coastal locations analyzed, whereas positive biases are typical for the HIPOCAS reanalysis. For offshore and coastal locations when using the ERA-40 data the Hs biases increased moving to South, while this pattern was not so clear for the HIPOCAS data. The inconsistencies in the comparisons of modelled waves against measurements seem to be associated with the quality of the wind fields.     

基于ERA5再分析资料的中国近海浅水区域风能潜力评估

风能潜力评估是风电场选址工作的基础工作。本文基于欧洲中期天气预报中心的ERA5再分析数据,采用风功率密度（Wind Power Density,WPD）中值、容量系数（Capacity Factor,CF）以及鲁棒性变异系数（Robust Coefficient of Variation, RCoV）三种指标,对中国近海浅水区域的风能潜力进行评估,研究结果表明:（1）台湾海峡和东海南部风能资源最为丰富并且风能利用率最高,风功率密度中值和容量系数分别为400~900 和0.45~0.7。总体来看,风功率密度中值从渤海到台湾海峡,呈逐渐增加的趋势,从台湾海峡到琼州湾,呈逐渐减小的趋势,容量系数大小分布情况相似。（2）鲁棒性变异系数大小无明显分布规律,广东湛江近岸海域鲁棒性变异系数在0.70~0.75之间,风能发电量最为稳定,但该地区的风能资源丰富程度较低。（3）福州近岸海域不仅有丰富的风能资源和风能利用率,且发电量较为稳定。在不考虑其它因素的影响下,是中国近海浅水区域建设海上风电场的最佳地点。     

ERA5海面气压和风速再分析资料在渤海和北黄海适用性分析

利用渤海和北黄海9个站位浮标的海面10 m气压和风速观测资料对ERA5再分析资料的适用性进行了初步评估。结果表明：海面气压和风速再分析资料与观测资料具有良好的相关性,不同时间尺度的统计结果具有一定差异,累年逐月的相关性优于日均和日极值,极端天气下的相关系数最低。不同时间尺度的统计结果显示,气压再分析资料与观测值的偏差总体为负值,即高压再分析资料较观测值偏弱、低压再分析资料较观测值偏强,二者存在一定的系统性偏差;风速统计结果显示,偏差与风力级别有关,大风速时,风速再分析资料普遍小于观测值。累年逐月再分析资料反映了研究区气压和风速的季节变化特征,偏差也呈现出季节性变化,且冬季的适用性优于夏季;极端天气情况下,气压和风速再分析资料的适用性较差,需要开展进一步的订正处理。     

Assessment of extreme wind and waves in the Colombian Caribbean Sea for offshore applications

Interest in Colombia’s offshore industry has increased over the past years. Therefore a detailed characterization of extreme wind and waves, in terms of return periods, numbers of events and its duration during the annual cycle, is needed. Two sets of high-resolution data are used in the statistical extreme value analysis (EVA). The significant wave height data (0.125°, 6 h) are from the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis available for the past 35 years (1979–2014). Surface winds (0.25°, 6 h) from the Cross-Calibrated Multi-Platform Ocean Surface Wind Vector Analyses (CCMP) of NASA/GSFC/NOAA (NASA/Goddard Space Flight Center/National Oceanic and Atmospheric Administration) are available for the past 24 years (1987–2011). Three well-known methods are applied to the data: the Block Maxima (BM), the Peak-Over-Threshold (POT) and the Method of Independent Storm (MIS). Several probabilistic models (Gumbel, Generalized Extreme Value, Weibull and Pareto) are evaluated for the BM and different threshold values for the POT and MIS. The results show that waves can reach up to 3.8 m and winds can be as strong as 31 m/s when considering the 50–100-year return periods. However, the wave model could underestimate values by up to one meter; hence, there is a probability of higher values in the region. Seasonally, most extreme events occur during the dry season (December–March) and during the Mid-Summer-Drought (MDS) or Veranillo months (June–July). Local conditions, including the reinforcement of the Caribbean Low Level Jet (CLLJ) and the occurrence of cold atmospheric fronts, are important drivers of extreme metoceanic variability. The total number of extreme wind events varied spatially and temporally from 15 to 65 and the mean duration from 15 to 25 h. A total number of extreme wave events ranging from <10 to 80 were computed during the annual cycle in the areas of interest, with a mean duration of less than 40 h.     

西太平洋海面风场数据集的建立及其应用

再分析风场数据至今已发展了约30年,目前人们使用区域乃至全球网格化再分析数据集愈加频繁,但风场再分析数据在强天气过程中的强度明显不足,将风场再分析数据同台风观测数据相融合是解决问题的重要途径,本文通过"构建经验台风圆形风场-叠加台风移行风场-流入角修正-叠加背景再分析风场"的基本思路,融合了西太平洋联合警报中心的所有台...     

中国近海ASCAT和ERA-Interim风场资料的评估

利用中国近海23个浮标对2015年一整年的ASCAT轨道风场和ERA-Interim再分析风场进行质量评估,并对比了ERA-Interim和CFSV2两种再分析风场资料在中国近海的适用性。结果表明:ASCAT在中国近海与浮标风速的一致性优于ERA-Interim,而二者与浮标风向的一致性则相差不大。同时,对比CFSV2与ERA-Interim的误差统计结果发现,CFSV2的风速误差较ERAInterim略小,风向误差相差不大。     

Comparing satellite and meteorological data on wind velocity over the Black Sea

Wind-velocity data obtained from in situ measurements at the Golitsyno-4 marine stationary platform have been compared with QuikSCAT scatterometer data; NCEP, MERRA, and ERA-Interim global reanalyses and MM5 regional atmospheric reanalysis. In order to adjust wind velocity measured at a height of 37 m above the sea surface to a standard height of 10 m with stratification taken into account, the Monin–Obukhov theory and regional atmospheric reanalysis data are used. Data obtained with the QuikSCAT scatterometer most adequately describe the real variability of wind over the Black Sea. Errors in reanalysis data are not high either: the regression coefficient varies from 0.98 to 1.06, the rms deviation of the velocity amplitude varies from 1.90 to 2.24 m/s, and the rms deviation of the direction angle varies from 26° to 36°. Errors in determining the velocity and direction of wind depend on its amplitude: under weak winds (<3 m/s), the velocity of wind is overestimated and errors significantly increase in determining its direction; under strong winds (>12 m/s), its velocity is underestimated. The influence of these errors on both spatial and temporal estimates of the characteristics of wind over the Black Sea is briefly considered.     

1010号台风“莫兰蒂”对福建近海风场的影响及其成因分析

分析福建沿岸区域气象自动站、近海气象浮标站等有关风的精细观测资料以及NCEP再分析、雷达反演风场等资料,研究了2010年第10号台风"莫兰蒂"影响福建期间,福建近海风场分布的特点及其成因,以寻找台风影响时福建近海风场预报的着眼点.结果表明:受到环境场及台湾海峡狭管效应,气流与中央山脉之间绕流、阻挡等共同作用,1010号台风"莫兰蒂"影响福建期间,大风在海区上主要集中分布在台风环流东部和福建北部海区;福建中部沿海最早出现大风;而大部分台风影响时间中,中部沿海风力大于北部、南部沿海风力,呈现中间大两头小的布局.特别是1010号台风"莫兰蒂",进入台湾海峡后发展成微型台风,靠近台风的测站在台风临近时才大风突起.而这种微型台风,大风天气突发性强,在风的精细预报中要特别注意短时临近的监控监测.对比各种资料的应用效果表明:NCEP再分析资料反映的主要是海区的大风分布;雷达反演风场,必须结合实况资料验证,具有一定的参考价值;近海浮标站资料,能较早反映台风影响时风场的演变特点,但近海浮标站所观测的海区风力不一定大于相近的沿岸区域气象自动站所观测的沿海风力,二者所观测到的风力、风向的变化与台风位置密切相关.在业务预报中,对近海浮标站资料的应用,还需深入研究,具体情况具体分析.     

HY-2B卫星散射计海面风场产品质量分析 *

星载微波散射计是获取全球海面风场信息的主要手段, HY-2B卫星散射计的成功发射为全球海面风场数据获取的持续性提供了重要保障。本文利用欧洲中期天气预报中心(European Center for Medium-Range Weather Forecasts, ECMWF)再分析风场数据、热带大气海洋观测计划(Tropical Atmosphere Ocean Array, TAO)和美国国家数据浮标中心(National Data Buoy Center, NDBC)浮标获取的海面风矢量实测数据, 对HY-2B散射计海面风场数据产品的质量进行统计分析。分析表明, HY-2B风场与ECMWF再分析风场对比, 在4~24m·s^-1风速区间内, 风速和风向均方根误差(root mean square error, RMSE)分别为1.58m·s^-1和15.34°; 与位于开阔海域的TAO浮标数据对比, 风速、风向RMSE分别为1.03m·s^-1和14.98°, 可见HY-2B风场能较好地满足业务化应用的精度要求(风速优于2m·s^-1, 风向优于20°)。与主要位于近海海域的NDBC浮标对比, HY-2B风场的风速、风向RMSE分别为1.60m·s^-1和19.14°, 说明HY-2B散射计同时具备了对近海海域风场的良好观测能力。本文还发现HY-2B风场质量会随风速、地面交轨位置等变化, 为用户更好地使用HY-2B风场产品提供参考。     

风浪流中半潜式风机系统动力响应特性研究

以三浮筒(Tri-floater)型半潜式风机系统为对象,采用时域方法,考虑垂荡板的黏性阻尼效应,研究系泊缆直径、长度、预张力和布置方式等参数对其在风浪流中动力响应特性的影响规律,提出了一种系泊参数优化方法。在此基础上,根据东海和南海三个不同水深区域百年一遇海洋环境条件,通过调整Tri-floater型浮式基础的吃水和垂荡板等参数,有效地提高了其运动响应周期,减小了其运动响应幅值。同时,根据风机浮式基础运动幅值的设计规范要求,针对三个不同水深区域特点,设计了Tri-floater型浮式基础的系泊系统。计算结果表明,改进后的Tri-floater型半潜式风机系统能满足百年一遇极端环境下的作业要求,适合于东海和南海海洋环境下海上风能资源的开发。     

黄河三角洲海上风场再分析资料对比

再分析风场资料在海洋气象的研究中得到广泛应用.本文基于黄河口区域孤东59井验潮站和桩西106验潮站现场观测资料,对CCMP(cross-calibrated multi-platform)、CFSR(climate forecast system re-analysis)、ERA-interim、JRA-554种再分析...     

基于四种再分析资料的1988-2015年中国近海月均风速特征评估

This study investigates the long-term changes of monthly sea surface wind speeds over the China seas from 1988 to 2015. The 10-meter wind speeds products from four major global reanalysis datasets with high resolution are used: Cross-Calibrated Multi-Platform data set(CCMP), NCEP climate forecast system reanalysis data set(CFSR),ERA-interim reanalysis data set(ERA-int) and Japanese 55-year reanalysis data set(JRA55). The monthly sea surface wind speeds of four major reanalysis data sets have been investigated through comparisons with the longterm and homogeneous observation wind speeds data recorded at ten stations. The results reveal that(1) the wind speeds bias of CCMP, CFSR, ERA-int and JRA55 are 0.91 m/s, 1.22 m/s, 0.62 m/s and 0.22 m/s, respectively.The wind speeds RMSE of CCMP, CFSR, ERA-int and JRA55 are 1.38 m/s, 1.59 m/s, 1.01 m/s and 0.96 m/s,respectively;(2) JRA55 and ERA-int provides a realistic representation of monthly wind speeds, while CCMP and CFSR tend to overestimate observed wind speeds. And all the four data sets tend to underestimate observed wind speeds in Bohai Sea and Yellow Sea;(3) Comparing the annual wind speeds trends between observation and the four data sets at ten stations for 1988-1997, 1988–2007 and 1988–2015, the result show that ERA-int is superior to represent homogeneity monthly wind speeds over the China seaes.     

Impact of swell on simulations using a regional atmospheric climate model

When long, fast swell waves travel in approximately the same direction as the wind, the surface stress is reduced compared with under wind-sea conditions. Using measurements from the Östergarnsholm site in the Baltic Sea, new expressions of the roughness length were developed for wind sea and swell. These new expressions were implemented in the RCA3 regional climate model covering Europe. A 3-year simulation and two case studies using the wavefield from the ECMWF reanalysis (ERA-40) were analysed using the improved formulations. Wind-following swell led to a significant reduction of mean wind stress and heat fluxes. The mean surface layer wind speed was redistributed horizontally and the marine boundary layer cooled and dried slightly. This cooling was most pronounced over North Sea and the Norwegian Sea (almost 0.2 °C annually on average) whereas the drying was most pronounced over the Mediterranean Sea (almost 0.4 g kg⁻¹). Somewhat less convective precipitation and low-level cloudiness over the sea areas were also indicated, in particular over the Mediterranean Sea. The impact on the atmosphere, however, is significantly locally greater in time and space.     

全球海域风能资源在不同季节的等级区划

在资源危机愈演愈烈的时代背景下,积极开发利用可再生能源将会对缓解能源危机、环境危机做出有益贡献,同时也必将成为“21世纪海上丝绸之路”建设的新亮点。利用来自欧洲中期天气预报中心（ECMWF）的ERA-Interim风场资料,本文制作了全球海域风能资源的年等级区划、季节等级区划。结果表明：从多年平均状态来看,全球海上风能资源的潜力巨大,南北半球西风带海域的风能等级为7级（最优等级）;中低纬大部分海域也比较乐观,多在4级以上;北冰洋的风能资源为4级,比传统估值乐观。北半球西风带7级风能资源的范围具有较大的季节性差异：1月最广,4月和10月次之,7月最小;南半球西风带的季节性差异则相对较小：7月相对最大,其余月份略小于7月。7月,阿拉伯海和孟加拉湾的风能资源都属于7级,明显比其余代表月丰富。4月和10月,北印度洋的风能资源整体贫乏,大部分区域为1级（最贫乏）。     

中法海洋卫星散射计近海岸海面风场反演研究

中法海洋卫星散射计(CSCAT)使用扇形波束旋转扫描体制,能够以多角度测量同一海面的雷达后向散射系数,并具有空间分辨率较高的特点。这为近海岸海面风场反演提供了新的机遇。本文介绍了CSCAT近海岸海面风场处理的主要流程和关键技术。特别地,在风场反演之前,利用一种矩形窗算术平均的方法将L1B级的高分辨率条带数据组合平均到相应的风矢量单元中,从而实现近海岸风场反演的快速预处理。通过对比CSCAT、欧洲先进散射计(ASCAT)以及美国QuikSCAT的近海岸风场,发现CSCAT风场的质量在离岸40 km以外区域具有良好的一致性,而在离岸40 km以内显著恶化。分析表明,CSCAT近海岸区域风场统计特征恶化的原因可能是由潜在的海冰污染引起的。总体而言,CSCAT的近海岸风场与模式背景风场和浮标风场都具有良好的一致性。     

Probabilistic analysis of offshore wind turbines under extreme resonant response: Application of environmental contour method

Offshore wind turbines can exhibit dynamic resonant behavior due to sea states with wave excitation frequencies coinciding with the structural eigenfrequencies. In addition to significant contributions to fatigue actions, dynamic load amplification can govern extreme wind turbine responses. However, current design requirements lack specifications for assessment of resonant loads, particularly during parked or idling conditions where aerodynamic damping contributions are significantly reduced. This study demonstrates a probabilistic approach for assessment of offshore wind turbines under extreme resonant responses during parked situations. Based on in-situ metocean observations on the North Sea, the environmental contour method is used to establish relevant design conditions. A case study on a feasible large monopile design showed that resonant loads can govern the design loads. The presented framework can be applied to assess the reliability of wave-sensitive offshore wind turbine structures for a given site-specific metocean conditions and support structure design.     

基于观测和再分析数据的LSTM深度神经网络沿海风速预报应用研究

基于海洋气象历史观测资料和再分析数据等,利用LSTM深度神经网络方法,开展在有监督学习情况下的海面风场短时预报应用研究。以中国近海5个代表站为研究区域,通过气象台站观测数据和ERA-Interim 6 h再分析数据构建数据集。选取21个变量作为预报因子,分别构建两个LSTM深度神经网络框架(OBS_LSTM和ALL_LSTM)。经与2017年WRF模式6 h预报结果对比分析,得出如下结论:构建的两个LSTM风速预报模型可以大幅降低风速预报误差,RMSE分别降低了41.3%和38.8%,MAE平均降低了43.0%和40.0%;风速误差统计和极端大风分析发现,LSTM模型能够抓住地形、短时大风和台风等敏感信息,对于大风过程预报结果明显优于WRF模式;两种LSTM模型对比发现,ALL_LSTM模型风速预报误差最小,具有很好的稳定性和鲁棒性,OBS_LSTM模型应用范围更广泛。     

台风作用下海上风机基础结构安全评价

海上风机结构在运营期内可能面临极端风浪、地震等荷载作用。因此,极端工况作用下海上风机局部和整体结构反应将成为结构设计以及安全评价的重要参数。采用半整体方法,以桩基泥面最大位移、结构杆件极端承载力以及桩基抗压、抗拔承载力为判定指标,基于塑性可靠度理论,系统研究台风条件下运营期内海上风机基础结构可靠度指标变化规律,得出潜在的基础结构失效模式及相应判定指标。由研究可得,台风条件下运营期内海上风机基础结构各可靠度将显著受到基础冲刷、海生物生长和结构腐蚀的影响,并且结构失效模式将由单一模式破坏发展为多种模式联合失效。     

海洋工程设计风速与波高的联合分布

选取我国渤海某处21a的风暴过程后报资料,考虑风暴发生频次的影响,提出泊松二维逻辑分布,并且将其用于海洋石油工程设计中极值风速与波高的联合概率计算,给出了计算海域的风浪设计参数,并与传统的设计标准进行了比较.计算结果表明,新的统计模式适用于受风暴影响海区的海洋工程结构设计,特别是边际油田的开发建设.     

Wave model predictions in the Black Sea: Sensitivity to wind fields

This paper evaluates the impact of using different wind field products on the performance of the third generation wave model SWAN in the Black Sea and its capability for predicting both normal and extreme wave conditions during 1996. Wind data were obtained from NCEP CFSR, NASA MERRA, JRA-25, ECMWF Operational, ECMWF ERA40, and ECMWF ERA-Interim. Wave data were obtained in 1996 at three locations in the Black Sea within the NATO TU-WAVES project. The quality of wind fields was assessed by comparing them with satellite data. These wind data were used as forcing fields for the generation of wind waves. Time series of predicted significant wave height (H_mo), mean wave period (T_m02), and mean wave direction (DIR) were compared with observations at three offshore buoys in the Black Sea and its performance was quantified in terms of statistical parameters. In addition, wave model performance in terms of significant wave height was also assessed by comparing them against satellite data.The main scope of this work is the impact of the different available wind field products on the wave hindcast performance. In addition, the sensitivity of wave model forecasts due to variations in spatial and temporal resolutions of the wind field products was investigated. Finally, the impact of using various wind field products on predicting extreme wave events was analyzed by focussing on storm peaks and on an individual storm event in October 1996. The numerical results revealed that the CFSR winds are more suitable in comparison with the others for modelling both normal and extreme events in the Black Sea. The results also show that wave model output is critically sensitive to the choice of the wind field product, such that the quality of the wind fields is reflected in the quality of the wave predictions. A finer wind spatial resolution leads to an improvement of the wave model predictions, while a finer temporal resolution in the wind fields generally does not significantly improve agreement between observed and simulated wave data.