东北地区风能资源空间分布特征与模拟

利用东北地区104个气象站1991~2010年观测资料和70个测风塔2009年6月~2010年5月测风资料,进行了风能资源空间分布特征分析,并利用中尺度模式WRF进行风能资源空间模拟,以研究观测站点稀少地区的风能资源分布特征。研究结果表明:1东北地区气象站和测风塔揭示的大风区域主要分布在平原和丘陵的高海拔地带。2中尺度模式WRF能够较好地模拟东北区域风速分布的气候特征,模拟结果既反映出平原大面积的大风区域,也可反映出山区因地形起伏造成的风速空间分布差异。3对风能资源参数模拟结果进行海拔高度订正,可以进一步提高模式计算结果的准确性和可靠性。4松嫩平原、辽河平原、三江平原70 m高度年平均风功率密度在300~500 W/m2之间,属于风能资源可利用区或较丰富区;在辽宁省西部、吉林省中部和黑龙江省中部丘陵以及东北地区东南部的呈东北-西南走向的中高山区的70 m年平均风功率密度可达300 W/m2以上,局部地方可达500 W/m2以上,风能资源丰富。     

基于ASCAT散射计数据的2012年南极周边海面风场特征分析

利用2012年全年的ASCAT散射计风场数据,对55°S以南的南极周边海域海面风场开展了时空分布特性统计分析。结果表明:对于南极周边海域,7月平均风速最大,为12 m·s-1,12月平均风速最小,为8 m·s-1,冬季大于夏季;该区域平均风速主要在9—12 m·s-1之间,全年出现的天数280天,约占全年的77%;风速10 m·s-1所占比例也是冬季大于夏季。从全年来看,南极周边海域在冬季(4—6月)和春季(7—9月)风速普遍较大。该区域0°W—60°W海域内风速明显比其他海域要小。     

西北太平洋累积气旋能量的年代际变化

利用1949—2011年CMA-STI热带气旋最佳路径数据集,分析了西北太平洋累积气旋能量(ACE)的年代际变化特征。结果表明,西北太平洋热带气旋(ACE)的年代际变化主要分为1957—1967高值期、1976—1986过渡期和1998—2008低值期。其中强热带风暴(STS)、台风(TY)和超强台风(SuperTY),特别超强台风是决定成分。副热带高压偏弱,垂直风切变偏小,低纬度低空正涡度异常偏东以及低纬度海表面温度(SST)正异常偏东等背景场的年代际特征,有利于形成ACE的年代高值期。     

导管架式海上风力发电支撑结构振型扩阶方法

提出1种适用于海上风力发电支撑结构的模态振型扩阶方法。该方法无需借助转换矩阵实现振型扩阶,而是依靠实测模态并通过修正有限元模型对应振型在未测试自由度的振型值而获得空间完备的模态振型,并且所发展的方法在一定程度上可以忽略有限元模型存在的建模误差,是1种直接的估算方法,计算效率相对较高。文中采用三桩导管架式海上风力发电支撑结构验证提出方法的正确性以及在低阶模态振型扩阶上的优越性。数值结果表明,该方法对传感器位置、数量依赖程度低,尤其对于海上风电结构,仅在结构的水深较浅部位布置少数传感器即可比较精确的实现低阶模态振型扩阶,具有良好的工程应用前景。     

青海互助一次局地强降水天气多普勒雷达回波分析

利用西宁CINRAD/CD多普勒天气雷达资料及自动站观测数据等从影响降水的主要因子方面探讨了2011年7月2日晚青海互助县一次局地强降水的成因,结果表明:多单体强回波带的活动是造成互助短时强降水的主要原因;速度图上强的辐合和逆风区是预报强降水的关键因子;垂直风廓线图上强烈的垂直风切变是不稳定能量积聚的表现,与强降水联系紧密;垂直累计液态含水量(VIL)和回波顶高也能为强降水预报提供有效信息。     

The formation of wind curl in the marine atmosphere boundary layer over the East China Sea Kuroshio in spring

Various data are used to investigate the characteristics of the surface wind field and rainfall on the East China Sea Kuroshio (ESK) in March and April, 2011. In March, the wind speed maximum shows over the ESK front (ESKF) in the 10 meter wind field, which agrees with the thermal wind effect. A wind curl center is generated on the warm flank of the ESKF. The winds are much weaker in April, so is the wind curl. A rainband exists over the ESKF in both the months. The Weather Research and Forecasting (WRF) model is used for further researches. The winds on the top of the marine atmosphere boundary layer (MABL) indicate that in March, a positive wind curl is generated in the whole MABL over the warm flank of the ESKF. The thermal wind effect forced by the strong SST gradient overlying the background wind leads to strong surface northeasterly winds on the ESKF, and a positive shearing vorticity is created over the warm flank of the ESKF to generate wind curl. In the smoothed sea surface temperature experiment, the presence of the ESKF is responsible for the strong northeast winds in the ESKF, and essential for the distribution of the rainfall centers in March, which confirms the mechanism above. The same simulation is made for April, 2011, and the responses from the MABL become weak. The low background wind speed weakens the effect of the thermal wind, thus no strong Ekman pumping is helpful for precipitation. There is no big difference in rainfall between the control run and the smooth SST run. Decomposition of the wind vector shows that local wind acceleration induced by the thermal wind effect along with the variations in wind direction is responsible for the pronounced wind curl/divergence over the ESKF.     

闽北地区边界层移动风廓线雷达对比试验评估

为了更好地把握风廓线雷达的探测性能和数据精度,对移动风廓线雷达与L波段探空雷达资料进行对比统计分析,结果表明：移动风廓线雷达的有效数据获取率达到80％的高度为3500m,符合边界层风廓线雷达的有效探测高度。移动风廓线的径向速度平均差和标准差随着高度的增加而增加,东西方向的径向速度误差比南北方向的高约0．5—1．0m／s。风廓线雷达自身数据的准确性良好,但是降雨对数据的准确性影响比较大。这次对比试验结果表明,对比试验应该选择比较平稳的天气过程。由于秋冬季节大气环流比较稳定,降雨类型多为层状云降雨,因而风廓线雷达数据可靠性高;对流性降雨过程往往造成风廓线雷达资料可靠性降低。     

广西寒露风开始期短期气候预测方法研究

利用1951-2013年广西90个气象观测站气温资料、国家气候中心74项指数和美国National Oceanic and Atmospheric Administration（NOAA）的Climate Prediction Center（CPC）60项指数以及海温和陆地雪盖资料、美国国家冰雪研究中心（NSIDC）的两极海冰资料,使用相关分析方法得到广西寒露风开始期气候影响因子,利用逐步回归和神经网络方法进行寒露风开始期的预测。结果表明：寒露风开始期与前一年9-10月北极海冰面积、当年3月南极海冰面积、前一年6月欧亚雪盖、当年5月北美雪盖、北半球雪盖的相关显著。与前一年9月北半球极涡面积指数、前一年10月亚洲区极涡面积指数、前一年3月热带印度洋海温偶极子等指数相关显著。粒子群-神经网络方法预测误差低于逐步回归方法,预报能力有明显提高。     

星载激光雷达卫星海面风场反演算法研究

The principal purpose of this paper is to extract entire sea surface wind＇s information from spaceborne lidar, and particularly to utilize a appropriate algorithm for removing the interference information due to white caps and subsurface water. Wind speeds are obtained through empirical relationship with sea surface mean square slopes. Wind directions are derived from relationship between wind speeds and wind directions im plied in CMOD5n geophysical models function （GMF）. Whitecaps backscattering signals were distinguished with the help of lidar depolarization ratio measurements and rectified by whitecaps coverage equation. Subsurface water backscattering signals were corrected by means of inverse distance weighted （IDW） from neighborhood non-singular data with optimal subsurface water backscattering calibration parameters. To verify the algorithm reliably, it selected NDBC＇s TAO buoy-laying area as survey region in camparison with buoys＇ wind field data and METOP satellite ASCAT of 25 km single orbit wind field data after temporal-spa tial matching. Validation results showed that the retrieval algorithm works well in terms of root mean square error （RMSE） less than 2m/s and wind direction＇s RMSE less than 21 degree.     

The co-location of offshore windfarms and decapod fisheries in the UK: Constraints and opportunities

The offshore wind sector in the UK is expanding rapidly and is set to occupy significant areas of the coastal zone, making it necessary to explore the potential for co-location with other economic activities. The presence of turbine foundations introduces hard substrates into areas previously dominated by soft sediments, implying that artificial reef effects may occur, with potential benefits for fisheries. This review focuses on the possibilities for locating fisheries for two commercially important decapods, the brown crab Cancer pagurus and the European lobster Homarus gammarus, within offshore wind farms.Existing understanding of habitat use by C. pagurus and H. gammarus suggests that turbine foundations have the potential to act as artificial reefs, although the responses of these species to noise and electromagnetic fields are poorly understood. Offshore wind farm monitoring programmes provide very limited information, but do suggest that adult C. pagurus associate with turbine foundations, which may also serve as nursery areas. There was insufficient deployment and monitoring of rock armouring to draw conclusions about the association of H. gammarus with offshore wind farm foundations. The limited information currently available demonstrates the need for further research into the ecological and socio-economic issues surrounding fishery co-location potential.