X波段一维扫描有源相控阵天气雷达测试定标方法

该文根据有源相控阵天气雷达的体制特点,参考多普勒天气雷达测试定标方法,提出了一维扫描有源相控阵天气雷达的测试和定标方法,将测试重点放在天馈系统、T/R组件、脉冲压缩、动态范围的测试和定标上,以解决不同观测模式、不同波位的天线增益等参数变化引起的回波强度测量误差问题。测试结果表明:天馈系统在不同观测模式下的天线参数随仰角的变化情况、波束指向的准确度、T/R组件的动态范围等均符合设计要求,回波强度和径向速度定标精度较高。雷达经过测试和定标后,于2014年5—8月分别在安徽定远和四川甘孜进行外场试验,并与附近多普勒天气雷达 (SA) 和C波段双线偏振雷达观测数据进行对比,结果表明:回波强度误差在合理范围内,精细测量、警戒搜索、快速观测3种模式观测的强回波的水平和垂直位置、结构和系统误差均比较一致,数据可靠。     

Modeling impacts of vegetation in western China on the summer climate of northwestern China

Using the monthly NCEP-NCAR reanalysis dataset, the monthly temperature and precipitation at surface stations of China, and the MM5 model, we examine impacts of vegetation cover changes in western China on the interdecadal variability of the summer climate over northwestern China during the past 30 years. It is found that the summer atmospheric circulation, surface air temperature, and rainfall in the 1990s were different from those in the 1970s over northwestern China, with generally more rainfall and higher temperatures in the 1990s. Associated with these changes, an anomalous wave train appears in the lower troposphere at the midlatitudes of East Asia and the low-pressure system to the north of the Tibetan Plateau is weaker. Meanwhile, the South Asian high in the upper troposphere is also located more eastward. Numerical experiments show that change of vegetation cover in western China generally forces anomalous circulations and temperatures and rainfall over these regions. This consistency between the observations and simulations implies that the interdecadal variability of the summer climate over northwestern China between the 1990s and 1970s may result from a change of vegetation cover over western China.     

Role of horizontal density advection in seasonal deepening of the mixed layer in the subtropical Southeast Pacific

The mechanisms behind the seasonal deepening of the mixed layer(ML) in the subtropical Southeast Pacific were investigated using the monthly Argo data from 2004 to 2012. The region with a deep ML(more than 175 m) was found in the region of(22?–30?S, 105?–90?W), reaching its maximum depth(～200 m) near(27?–28?S, 100?W) in September. The relative importance of horizontal density advection in determining the maximum ML location is discussed qualitatively. Downward Ekman pumping is key to determining the eastern boundary of the deep ML region. In addition, zonal density advection by the subtropical countercurrent(STCC) in the subtropical Southwest Pacific determines its western boundary, by carrying lighter water to strengthen the stratification and form a "shallow tongue" of ML depth to block the westward extension of the deep ML in the STCC region. The temperature advection by the STCC is the main source for large heat loss from the subtropical Southwest Pacific. Finally, the combined effect of net surface heat flux and meridional density advection by the subtropical gyre determines the northern and southern boundaries of the deep ML region: the ocean heat loss at the surface gradually increases from 22?S to 35?S, while the meridional density advection by the subtropical gyre strengthens the stratification south of the maximum ML depth and weakens the stratification to the north. The freshwater flux contribution to deepening the ML during austral winter is limited. The results are useful for understanding the role of ocean dynamics in the ML formation in the subtropical Southeast Pacific.     

基于奇异谱分析的南方涛动指数短期气候预测试验

The Southern Oscillation Index (SOI) time series is analyzed by means of the singular spectrum analysis (SSA) method with 60-month window length. Two major oscillatory pairs are found in the series whose pe riods are quasi-four and quasi-two years respectively. The auto-regressive model, which is developed on the basis of the Maximum Entropy Spectrum Analy sis, is fitted to each of the 9 leading components including the oscillatory pairs. The prediction of SOI with the 36-month lead is obtained from the reconstruction of these extrapolated series. Correlation coefficient between predicted series and 5 months running mean of observed series is up to 0.8. The model can successfully predict the peak and duration of the strong ENSO event from 1997 to 1998. It＇s also shown that the proper choice of reconstructed components is the key to improve the model prediction.     

苏通大桥桥位江面风速的数值试验

用WRF中尺度模式对苏通大桥桥位江面的风速进行了数值模拟。在修改了模式自带的静态地形数据后模拟效果较修改前有所改善。并发现在对天气系统有较准确模拟的情况下模式对桥位江面最大风速的模拟也较为精确,反之结果相差较多。挑选了其中两个个例并使用修改过静态地形数据的模式分别对地形和一些物理方案作敏感性试验,发现各种因素对模拟结果都有着不同程度的影响,起决定性作用的是水陆分布;在没有强对流天气系统的情况下各种微物理参数化方案对模拟结果均不产生明显影响;模拟时需加入长短波辐射参数化和边界层参数化方案,并且其中YSU边界层参数化方案的模拟结果最为理想。在缺乏江面风观测数据的时段里模式对江面风速的模拟结果具有一定的参考价值。     

近50 年海河流域径流的变化趋势研究

该文用Mann-Kendall方法对近50年海河流域山区20个子流域的径流及降水的变化趋势进行了显著性检验, 结合降水, 径流及气温的年代距平值的同步分析以及径流对气候变化的敏感性研究结果, 对近50年海河流域径流的变化趋势, 提出了一个半定量分析的研究思路和方法。提出影响径流变化的三种类型:以气候暖干化为主, 人类活动为辅的径流显著衰减型;以人类活动为主, 气候暖干化为辅的径流显著衰减型;人类活动与气候变异都不明显, 径流无显著变化的类型。分析结果展示了气候、人类活动与水之间的相互作用。这种相互作用, 给径流的变化趋势分析和成因分析带来了复杂性与困难, 也给气候变化对水资源的影响研究提出了挑战。     

一次华北暴雨过程中边界层东风活动及作用

利用常规气象观测资料、NCEP 1°×1°逐6 h分析资料、微波辐射计资料及FY-2E气象卫星及雷达探测资料,针对2013年6月4日发生在北京及周边地区的一次暴雨过程中边界层东风活动及作用进行了天气学诊断分析,结果表明:对流性暴雨过程伴随有源自东北平原的边界层东风活动,东风活动具有尺度小、降温明显和湿度大等特点。暴雨过程是边界层东风和中低空暖式切变线、偏南风急流和500 hPa短波槽共同作用的结果;东风湿冷空气的锋面抬升和地形抬升作用共同加强了中低层暖湿气流的辐合上升运动,同时东风冷垫和地形抬升作用触发了雷暴的再次发生,相应雷暴具有高架对流特点。东风气流起到了边界层水汽输送作用,中低层偏南暖湿气流为暴雨的产生提供了充足的水汽和不稳定层结条件。     

珠江三角洲秋季大气边界层温度和风廓线观测研究

根据2004年10月珠江三角洲3个代表性观测点大气边界层观测资料, 分析了珠江三角洲秋季大气边界层温度和风廓线特征。结果表明:珠江三角洲秋季气温递减率较低, 逆温出现频率较高, 强度较弱, 海风使珠江口贴地逆温的出现时间推迟、低空逆温的出现频率增加。珠江三角洲秋季受多种局地环流影响, 边界层内风廓线比较复杂, 晚上城市群与非城市群地区风向有明显差别; 城市群和珠江口多次分别观测到城市热岛环流和海风环流。     

不同下垫面空气动力学参数的研究

文中利用中国科学院沙漠研究所与日本国家农业环境技术研究所合作于1990—1994年在中国内蒙古自治区奈曼市半干旱地区沙丘和植被区下垫面观测的微气象数据,根据Monin-Obukhov相似性理论,计算了重度干扰草原、中度干扰草原、轻度干扰草原、无干扰草原、沙丘、沙丘内地、草地、稻田、小麦田、大豆田和玉米田11种下垫面的空气动力学参数粗糙度长度z0,零平面位移d,摩擦速度u*,并分析了它们与水平风速u和Richardson数的关系,比较了不同人为干扰草原生态系统条件下的空气动力学特征。结果表明:地表生物量和覆盖率随着人为干扰强度的增加而减少。不同人为干扰下垫面的粗糙长度与生物量和植被高度以及地表起伏程度有着密切关系;Richardson数也是其影响因子。风速、粗糙度都与摩擦速度成正相关,但对于不同下垫面有所不同,从中可以看到草地对沙漠化有一定的防治作用。同一种下垫面不同时期的空气动力学参数也存在差异。这些结果对建立陆面过程和区域气候模式具有重要的意义。     

2008年“凤凰”台风暴雨的水汽和螺旋度分析

本文利用NCEP/NCAR1°×1°再分析格点资料和降水实况数据,对"0808"号台风"凤凰"在登陆福建前后引发浙闽沿海地区的暴雨过程进行水汽和螺旋度分析。结果表明:东海和南海是此次强降水的主要水汽供应源。水汽输送辐合主要出现在低层,950 hPa水汽通量散度幅合场对强降水落区有较好的指示作用。台风登陆福建之前,东边界的水汽输入起主导作用;登陆福建后,南边界的水汽输入逐渐起主导作用。800 hPa螺旋度正值区对未来6 h强降水落区有很好的指示意义。同时,螺旋度强度演变对未来6 h的降水强度有较好的正相关关系。水汽收支演变表明净水汽输入量对于降水强度演变的指示效果不及螺旋度,但是整层净水汽输入明显减小时,可预见其后降水强度减小。