上海及周边地区地闪活动特征及海陆差异

利用LS8000闪电定位系统2009—2011年的地闪观测资料对上海及周边地区(120~122.5°E,30~32°N)的地闪活动特征进行了研究。结果表明:分析区域内正地闪的比例约占8.5%,大电流地闪(电流绝对值大于50kA)的比例约为5.6%。地闪活动主要集中在6—9月,峰值出现在8月;日变化上,12:00—19:00闪电活动最为活跃,峰值出现在14:00,凌晨闪电活动最弱。从日变化上来说,正地闪和大电流地闪比例在地闪活动较强时段低于地闪活动较弱时段;在月分布上,在地闪活动最强的夏季,正地闪比例普遍在10%以下,在地闪活动较弱的春、秋、冬季,正地闪比例普遍在10%以上。以北纬31°为界,分析区域北部地闪密度基本在6~12次·km-2·a-1以上,南部基本在2.4~4.8次·km-2·a-1。同时陆地上的地闪密度要显著高于湖泊和海洋上的地闪密度,而海洋上的正地闪比例和大电流地闪比例要显著高于陆地。闪电空间分布的时间变化说明,下午地闪活动主要出现在陆地,而凌晨地闪主要出现在水体附近,其它时段则表现出过渡特征,这与下垫面的加热作用紧密相关。     

一次中尺度对流系统的闪电演变特征

利用地面雷电探测网资料、多普勒雷达和卫星资料对一次典型的MCS过程的地闪变化特征进行了分析,结果表明,在系统发展的最初阶段全为负地闪;在MCS的成熟阶段地闪频数一直较高,在10次/min以上,负地闪占绝对优势;在消散阶段,地闪频数急剧下降,同时正地闪所占比例越来越大,甚至超过负地闪。地闪基本出现在<-50℃的云区和前部大的温度梯度区内,集中发生于<-60℃的云区。负地闪主要发生在强对流区(>40 dBz),其持续时间和强对流的维持时间几乎相当,说明负地闪可以很好地指示或有助于识别强对流区;密集的正地闪也与强回波区相对应,而稀疏的正地闪则多发生在系统后部的稳定性降水或云砧部位。同时,在MCS成熟阶段出现高正地闪频数的瞬间突增有可能对应着地面强天气的发生,在强对流天气的临近预报中应予以关注。     

Estimating residual biomass of olive tree crops using terrestrial laser scanning

Agricultural residues have gained increasing interest as a source of renewable energy. The development of methods and techniques that allow to inventory residual biomass needs to be explored further. In this study, the residual biomass of olive trees was estimated based on parameters derived from using a Terrestrial Laser Scanning System (TLS). To this end, 32 olive trees in 2 orchards in the municipality of Viver, Central Eastern Spain, were selected and measured using a TLS system. The residual biomass of these trees was pruned and weighed. Several algorithms were applied to the TLS data to compute the main parameters of the trees: total height, crown height, crown diameter and crown volume. Regarding the last parameter, 4 methods were tested: the global convex hull volume, the convex hull by slice volume, the section volume, and the volume measured by voxels. In addition, several statistics were computed from the crown points for each tree. Regression models were calculated to predict residual biomass using 3 sets of potential explicative variables: firstly, the height statistics retrieved from 3D cloud data for each crown tree, secondly, the parameters of the trees derived from TLS data and finally, the combination of both sets of variables. Strong relationships between residual biomass and TLS parameters (crown volume parameters) were found (R² = 0.86, RMSE = 2.78 kg). The pruning biomass prediction fraction was improved by 6%, in terms of R², when the variance of the crown-point elevations was selected (R² = 0.92, RMSE = 2.01 kg). The study offers some important insights into the quantification of residual biomass, which is essential information for the production of biofuel.     

The deepest Hubble Space Telescope far-ultraviolet observations in the Large Magellanic Cloud

We present a new analysis of the deepest pure-ultraviolet (UV) observations with the highest angular resolution ever performed. A set of 12 exposures with the Hubble Space Telescope ( HST ) WFPC2 and F160BW filter obtained in parallel observing mode, which cover ∼12 arcmin² in the Large Magellanic Cloud (LMC), north of the bar and in the 'general field' region of the LMC, contain stars with far-UV monochromatic magnitudes as faint as 22 mag. The 198 detected UV sources represent an accumulated exposure of  ≥ 2 × 10⁴ s  and reveal stars as faint as   m _UV≃ 20 mag  . We combine these observations with deep UBVI charge-coupled device (CCD) imaging of the same region reaching as faint as   V ≃ 26 mag  , and reselect probable optical counterparts for the UV sources. After a two-stage search-and-analysis process, we detect robust counterparts for 129 stars. These are mostly upper main-sequence stars, from early B to early A spectral classes, with several F stars. We point out the lack of blue supergiants, which could have been easily detected in our survey. We measure a foreground extinction   E ( B − V ) ≃ 0.08 mag  by Galactic dust and a surface density of star formation rate twice the average Galactic value. These observations indicate that relatively recent star formation took place even off the bar of the LMC.     

Periodic variation of Oort Cloud flux and cometary impacts on the Earth and Jupiter

Time variation in impact probability is studied by assuming that the periodic flux of the Oort Cloud comets within 15 au arises from the motion of the Sun with respect to the Galactic mid-plane. The periodic flux clearly shows up in the impact rate of the captured Oort Cloud cometary population, with a phase shift caused by the orbital evolution. Depending on the assumed flux of comets and the size distribution of comets, the impact rate of the Oort Cloud comets of 1 km in diameter or greater is from 5 to 700 impacts Myr⁻¹ on the Earth and from 0.5 to 70 impacts per 1000 yr on Jupiter. The relative fractions of impacts are 0.09, 0.11, 0.26 and 0.54 for long-period comets, Halley type comets, Jupiter family comets and near-Earth objects, respectively. For Jupiter, the corresponding fractions in the first three categories are 0.18, 0.31 and 0.51. If we consider physical fading of comet activity that is compatible with the observations, then the impact rates of active comets are two orders of magnitude smaller than the total impact rates by all kinds of comets and cometary asteroids of size 1 km or greater.     

中国东部和印度季风区云辐射特性的比较

基于 ＩＳＣＣＰ和 ＥＱＢＥ资料,本文比较了中国东部和印度季风区的云和云辐射强迫的气候特征。虽然它们同属于亚洲季风区,并且有相似的降水季节特征,但它们各自的云和云辐射强迫特征差异很大。在印度区域,所有的云量有着相同的季节变化,最大云量分布都出现在夏季,且总云量中以高云量为主。而中国东部云量的季节变化都比较复杂,在总云量中以中、低云量为主,最大总云量出现在春季。冬季的总云量和中、低云量要大于夏季。在全球云量分布中,中国东部最典型的特征是：该地区为全球最大的雨层云覆盖区。与云的分布和变化相关,印度季风区最大的负短波云辐射强迫,最大的正的长波辐射强迫和最大的负的净云辐射强迫发生在夏季,而在中国东部,大的负的短波云辐射强迫发生在春夏之交。年平均的负的短波云辐射强迫在中国东部地区明显要大于在印度季风区。     

云分析预报方法研究进展

云作为地球大气系统的重要组成部分,不仅影响着气候变化和天气系统的发展演变,还与航空活动密切相关,一直以来是空军和民航部门非常关注的气象要素之一。在云探测、资料同化和反演方法发展的基础上,从实际业务保障和数值模式发展需求出发,综述国内外云分析、预报方法和云分析预报系统开发的研究成果,分析各类方法的优势和不足,明确国内外研究的主要差距,并探讨国内未来研究的方向。云分析方法中,探空对云廓线识别较好,卫星可见光和红外资料在云顶信息反演方面优势明显,多普勒雷达能够获取对流层中层和底层的云信息,而毫米波雷达能够很好地反映云三维结构信息,发展潜力巨大。云预报方法中,传统的统计和诊断方法发展较为成熟,而考虑了大气温湿和云微物理状况的大气辐射传输模式正演模拟云顶亮温的方法是未来的发展趋势。加强云探测技术,综合利用云分析预报方法,借鉴国外先进云分析预报系统的设计理念,积极开发我国自主的云分析预报系统,推动天气预报、航空气象保障和数值预报模式的发展将会是我国云研究的重要方面。     

用WRF模式中不同云微物理参数化方案对华南一次暴雨过程的数值模拟和性能分析

本文使用中尺度数值模式WRFV3.4中的8种不同云微物理过程参数化方案,模拟2010年5月6～7日华南一次暴雨事件,探讨不同云微物理方案对华南暴雨模拟的影响。结果表明:不同云微物理方案对不同量级降水模拟效果总体较好。WSM3方案对小到大雨和大暴雨的模拟效果最好,对暴雨的模拟最差;WDM5方案对暴雨模拟效果最好。结合TS评分和误差分析结果,整体效果最好的是WSM5方案,最差的是Lin方案。对于同一云微物理参数化方案,不同分辨率的降水模拟结果差异不大,但同一分辨率的不同云微物理参数化方案的降水结果差异较大,这说明云微物理过程比模式分辨率对暴雨模拟的影响更大。     

浙江省平地区域机载LiDAR数据处理及DEM制作实践

为了进行平地区域原基础测绘产品高程的更新,我省进行了针对平地区域的机载LiDAR测高项目,为了获取高精度的DSM和DEM成果,在实际生产中开展了机载LiDAR数据处理及DEM成果的制作方法研究。本文将利用TerraSolid软件,从LiDAR点云数据的高程精度控制、点云滤波分类要求和如何利用特征线进行无点云数据区域的DEM精度控制等关键技术方面进行研究。