波浪涌动机®通讯中继在海上应急协同组网监测中的应用

如何突破海气界面的通讯壁垒,将地球上层大气的卫星遥感观测/光电通讯与地球底层水体中的海底节点观测/水声通讯连接起来,成为在垂向上认识海洋,实现海洋数据观测和实时传输的关键。而波浪涌动机~?由于机动灵活、能够长时间进行海上无人值守,即可作为海洋观测的通信中继,又可作为海上无人移动监测平台进行多台组网协同作业,特别是在构建小卫星应急组网监测的空天一体化建设中,为我国领海内的权益岛礁和海上溢油预警监测提供了一种全新的监测手段。本文将对基于北斗数据链的波浪涌动机~?在我国未来海上应急组网观测建设中的优势特点和应用场景进行详细阐述,供相关学者参考。     

Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses

Reduced availability of plant nutrients such as nitrogen (N) and phosphorous (P) has detrimental effects on plant growth. Plant N:P ratio, calculated as the quotient of N and P concentrations, is an ecological indicator of relative N and P limitation. Remote sensing has already been widely used to detect plant traits in foliage, particularly canopy N and P concentrations and could be used to detect canopy N:P faster and at lower cost than traditional destructive methods. Despite the potential opportunity of applying remote sensing techniques to detect canopy N:P, studies investigating canopy N:P remote detection are scarce. In this study, we examined if vegetation indices developed for canopy N or P detection can also be used for canopy N:P detection. Using in situ spectrometry, we measured the reflectance of a common grass species, Yorkshire fog (Holcus lanatus L.), grown under different nutrient ratios and levels. We calculated 60 VIs found in literature and compared them to optimized VIs developed specifically for this study. The VIs were calculated using both the original narrow band spectra and the spectra resampled to the band properties of six satellite sensors (MSI – Sentinel 2, OLCI – Sentinel 3, MODIS – Terra/Aqua, OLI – Landsat 8, WorldView 4 and RapidEye) to investigate the influence of bandwidths and band positions. The results showed that canopy N:P was significantly related to both existing VIs (r² = 0.16 - 0.48) and optimized VIs (r² = 0.59 – 0.72) with correlations similar to what was observed for canopy N or canopy P. Existing VIs calculated with MSI and OLI sensors bands showed higher correlation with canopy N:P compared to the other sensors while the correlation with optimized VIs was not affected by the differences in sensors’ bands. This study might lead to future practical applications using in situ reflectance measurements to sense canopy N:P in grasslands.     

Satellite observed reversal in trends of tropical and subtropical water availability

Understanding the spatially and temporally non-uniform water availability trends is key to assess changes of tropical and subtropical ecosystem productivity. However, their detailed spatial-temporal patterns and the relative role of local to the overall trend are not well known. This study provides a comprehensive investigation in characteristics of the time-varying water availability trend using the ensemble empirical mode decomposition (EEMD) method based on state-of-the-art satellite microwave observation derived microwave integrated drought index (MIDI) from 1998 to 2016. The results indicated an increased area with wetting trend since 1998, and the overall water availability reversed a drying tendency to a wetting trend around 2005. Also, the Northern Hemisphere became wetter and the Southern Hemisphere became dryer in 2016, demonstrating a transformation of favorable climate from the Southern Hemisphere to the Northern Hemisphere. Spatial patterns of the trend shape determined spatial distributions of the trend contributions, showing an opposite contribution between subtropics and tropics. Additionally, tropical rainforests and shrublands governed the overall trend reversely. This analysis helps to understand the non-uniform patterns of water availability trend and related ecosystem productivity over tropics and subtropics.     

Satellite interferometric data for landslide intensity evaluation in mountainous regions

Multi-Temporal Interferometric Synthetic Aperture Radar (MTInSAR) data offer a valuable support to landslide mapping and to landslide activity estimation in mountain environments, where in situ measures are sometimes difficult to gather. Nowadays, the interferometric approach is more and more used for wide-areas analysis, providing useful information for risk management actors but at the same time requiring a lot of efforts to correctly interpret what satellite data are telling us. In this context, hot-spot-like analyses that select and highlight the fastest moving areas in a region of interest, are a good operative solution for reducing the time needed to inspect a whole interferometric dataset composed by thousands or millions of points. In this work, we go beyond the concept of MTInSAR data as simple mapping tools by proposing an approach whose final goal is the quantification of the potential loss experienced by an element at risk hit by a potential landslide. To do so, it is mandatory to evaluate landslide intensity. Here, we estimate intensity using Active Deformation Areas (ADA) extracted from Sentinel-1 MTInSAR data. Depending on the localization of each ADA with respect to the urban areas, intensity is derived in two different ways. Once exposure and vulnerability of the elements at risk are estimated, the potential loss due to a landslide of a given intensity is calculated. We tested our methodology in the Eastern Valle d’Aosta (north-western Italy), along four lateral valleys of the Dora Baltea Valley. This territory is characterized by steep slopes and by numerous active and dormant landslides. The goal of this work is to develop a regional scale methodology based on satellite radar interferometry to assess the potential impact of landslides on the urban fabric.     

遥感估算绿洲-沙漠下垫面地表温度及感热通量

利用古浪非均匀近地层野外观测试验资料,验证了卫星反演地表温度的局地分裂窗算法在非均匀地区的适用性,进一步给出了提高反演精度的修正方案,并利用修正的反演地表温度算法和改进的空气动力学阻抗算法反演了试验区的感热通量。结果表明,Becker算法最适用于非均匀地区。与近地层野外观测试验观测结果相比,修正后的反演算法反演的地表温度和感热通量更加合理,均方根误差分别为2.38K和23.49W.m-2。地表温度和感热通量的区域分布特征相似,都表现为在绿洲和沙漠区的变化梯度较小,而在过渡区的梯度较大。     

吉林省一次区域性暴雨天气过程的TBB图像特征分析

采用FY-2C静止卫星红外云图反演的逐时TBB资料、地面逐时降水资料、欧洲中心和北京T213物理量诊断分析资料,利用天气学分析方法研究了2005年8月12～14日吉林省一场区域性暴雨天气过程的TBB图像特征,揭示了副高后部切变线上中-α尺度雨团在TBB场上发生发展移动消亡的规律,对降水过程中的卫星TBB图像特征及其与各种天气系统、物理量场和降水强度之间的关系进行了重点分析。分析结果表明:此次暴雨过程发生于偏北的副高后部,副高区与TBB>0℃区域相对应。TBB低值强云团随云带沿低空急流方向移动,且与水汽及能量输送带密切关联,强降水是呈椭圆型的中尺度对流云团中的准圆形中-α尺度云团造成。TBB低值云团面积越大、数值越低时,1h降水量≥10mm站数出现的越多,TBB≤-50℃所覆盖范围与大到暴雨落区基本一致,最大1 h降水量的雨强落后于云团TBB最低值1～3h。     

一次华南静止锋上的mcs的云图特征及成因分析

利用卫星云图及柳州Doppler雷达等资料,对2010年6月17—18日发生在桂西北局地性的一次强降雨天气过程进行分析,结果表明：（1）高原有小槽不断东移、超低空西南急流的建立为此次暴雨发生提供了有利的大尺度背景。（2）地面静止锋附近有明显的上升运动区存在,非常有利于中尺度对流的发生发展。（3）高水汽、高对流不稳定能量...     

初始扰动振幅和集合样本数对CNOPs集合预报的影响

初始扰动振幅的大小和集合样本数对于集合预报取得更高预报技巧具有重要意义。本文将正交条件非线性最优扰动方法（orthogonal conditional nonlinear optimal perturbations,简称CNOPs）应用于概念模型Lorenz-96模式探讨了初始扰动振幅和集合样本数对集合预报技巧的影响,从而为使用更复杂模式进行集合预报提供指导。结果表明,由于CNOPs扮演了非线性系统中的最优初始扰动,从而使得当初始扰动振幅小于初始分析误差的大小时,CNOPs集合预报获得更高的预报技巧,并且CNOPs集合预报的最高预报技巧总是高于奇异向量法（singular vectors,简称SVs）集合预报的最高预报技巧。结果还表明,CNOPs集合预报倾向于具有一个合适的样本数时,达到最高技巧。更好的集合离散度——预报误差关系和更为平坦的Talagrand图（Talagrand diagram）进一步证明了CNOPs集合预报系统的可靠性,从而夯实了上述结果的合理性。因此,针对CNOPs集合预报,本文认为采用一个适当小于初始分析误差的初始扰动振幅和一个合适的集合样本数,有利于CNOPs集合预报达到最高预报技巧。     

数值预报中卫星资料同化效果实验研究

目前,卫星资料在数值天气预报中的同化应用显著改善了数值预报效果,尤其是在全球数值预报中更为明显.而在区域数值预报中,卫星资料同化应用的影响还需要开展进一步的研究与分析.采用基于GRAPES-3DVar 同化系统和中尺度数值模式WRF 构造的区域数值预报流程,引入NOAA16 卫星资料分别对T213 和T511不同背景场...     

基于北斗系统的ARGO浮标设计

为了设计一种基于我国自主卫星导航定位系统的ARGO浮标,提出了应用北斗卫星导航定位系统的ARGO浮标设计方案.阐述了ARGO浮标的基本原理、应用概况和现有北斗卫星导航定位系统的基本应用,初步提出了基于北斗卫星导航系统的ARGO浮标设计方案;从通信方式、体制和定位、配重等方面对基于北斗的ARGO浮标设计进行了可行性分析,研究了基于北斗卫星导航定位系统的ARGO浮标通信方式和两种通信模式.研究表明,基于北斗卫星导航定位系统的ARGO浮标方案可行.