Spatiotemporal pattern of gypsum blooms in the Salton Sea,California, during 2000-2018

Algal blooms and the resulting deterioration of water quality have threatened the environmental health of inland lakes. This study investigated the spatiotemporal dynamics of gypsum blooms in the Salton Sea, the largest inland water body in California. An innovative gypsum bloom index (GI) was proposed to detect gypsum blooms based on Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra data for three bands (469, 555, and 859 nm) during 2000–2018. Discoloration (from green to reddish brown) was observed in the gypsum bloom-infested waters mapped using the hue, saturation, and value (HSV) color model. We found that: (1) the GI is able to effectively map gypsum blooms in the Salton Sea with a relatively high accuracy (85 %); (2) the largest gypsum bloom area was observed in summer (August and September), with notable gypsum blooms lasting more than 40 days in 2003, 2005, 2006, 2016, and 2018; (3) the gypsum bloom-infested waters shifted from the center to the southeastern shore of the lake during 2003–2018, and the frequency of gypsum blooms significantly increased since 2008. Meanwhile, the temporal and spatial differences between the northwestern and southeastern lake increased over the observation period; and (4) discoloration occurred in the gypsum bloom-infested waters and lasted for 14 days on average, longer periods of discoloration (more than 20 days) occurred d in 2002, 2016, and 2018. The reconstruction of gypsum bloom dynamics in the Salton Sea provides valuable information for the practical management and restoration of the Salton Sea.     

Discrimination of species composition types of a grazed pasture landscape using Sentinel-1 and Sentinel-2 data

Species composition is one of the important measurable indices of alpha diversity and hence aligns with the measurable Essential Biodiversity Variables meant to fulfil the Aichi Biodiversity Targets by 2020. Graziers also seek for pasture fields with varied species composition for their livestock, but visual determination of the species composition is not practicable for graziers with large fields. Consequently, this study demonstrated the capability of Sentinel-1 Synthetic Aperture Radar (S1) and Sentinel-2 Multispectral Instrument (S2) to discriminate pasture fields with single-species composition, two-species composition and multi-species composition for a pastoral landscape in Australia. The study used K-Nearest Neighbours (KNN), Random Forest (RF) and Support Vector Machine (SVM) classifiers to evaluate the strengths of S1-alone and S2-alone features and the combination of these S1 and S2 features to discriminate the composition types. For the S1 experiment, KNN which was the reference classifier achieved an overall accuracy of 0.85 while RF and SVM produced 0.74 and 0.89, respectively. The S2 experiment produced accuracies higher than the S1 in that the overall performance of the KNN classifier was 0.87 while RF and SVM were 0.93 and 0.89, respectively. The combination of the S1 and S2 features elicited the highest accuracy estimates of the classifiers in that the KNN classifier recorded 0.89 while RF and SVM produced 0.96 and 0.93, respectively. In conclusion, the inclusion of S1 features improve the classifiers created with S2 features only.     

利用多年卫星资料分析青岛和茂名附近海域海面风场变化

文章围绕青岛海洋经济开发和茂名海洋气象基础科学综合试验对附近海域基础环境数据的需求,利用多年卫星资料开展了青岛和茂名附近海域海面风场统计分析研究。结果表明:青岛附近海域风向频率和风速频率最大的方向均为北,相对应的平均风速值为3.5m/s;茂名附近海域风向频率最大方向为ENE,风速频率最大方向为NNE,茂名附近海域平均风速值全年均大于青岛附近海域平均风速值,研究成果可为开展海洋气象业务观测和科学试验提供基础数据支持,为"一带一路"海上风能资源开发与利用提供决策支撑。     

多源数据中尺度涡三维结构分析方法研究

作为重要的海洋中尺度现象之一,中尺度涡的研究受到人们的关注和重视。随着数值模式的进一步发展、卫星资料的累积、时间更长以及更多更有效的海上实测数据的取得,使得综合利用实测资料、卫星遥感资料、再分析/数值预报产品等数据源,对中尺度涡进行自动识别与三维结构分析成为中尺度涡研究的主要方向之一。在前期对卫星遥感资料中尺度涡自动检测算法进行研究的基础上,开展多源资料中尺度涡三维结构分析方法研究,以表面漂流浮标运动轨迹为中尺度涡的判定依据,综合利用高度计观测、红外遥感观测、以及再分析/数值预报产品分析中尺度涡三维结构信息,在此基础上,提出中尺度涡研究的发展方向,为全面分析中尺度涡的时空特性提供技术途径,为中尺度涡的动力机制研究奠定基础。     

Spatiotemporal distributions and environmental drivers of diversity and community structure of nosZ-type denitrifiers and anammox bacteria in sediments of the Bohai Sea and North Yellow Sea,China

Denitrification and anammox processes are major nitrogen removal processes in coastal ecosystems. However, the spatiotemporal dynamics and driving factors of the diversity and community structure of involved functional bacteria have not been well illustrated in coastal environments, especially in human-dominated ecosystems. In this study, we investigated the distributions of denitrifiers and anammox bacteria in the eutrophic Bohai Sea and the northern Yellow Sea of China in May and November of 2012 by constructing clone libraries employing nosZ and 16S rRNA gene biomarkers. The diversity of nosZ-denitrifier was much higher at the coastal sites compared with the central sites, but not significant among basins or seasons. Alphaproteobacteria were predominant and prevalent in the sediments, whereas Betaproteobacteria primarily occurred at the site near the Huanghe (Yellow) River estuary. Anammox bacteria Candidatus Scalindua was predominant in the sediments, and besides, Candidatus Brocadia and Candidatus Kuenenia were also detected at the site near the Huanghe River estuary that received strong riverine and anthropogenic impacts. Salinity was the most important in structuring communities of nosZ-denitrifier and anammox bacteria. Additionally, anthropogenic perturbations (e.g. nitrogen overloading and consequent high primary productivity, and heavy metal discharges) contributed significantly to shaping community structures of denitrifier and anammox bacteria, suggesting that anthropogenic activities would influence and even change the ecological function of coastal ecosystems.     

湖北省北斗水汽电离层监测系统基准站设计与实施

2012年底,随着北斗卫星导航系统基本覆盖亚太地区,北斗导航系统逐步替代GPS作为地基水汽研究的主要探测手段将成为我国气象部门一个重要努力方向。重点介绍了利用湖北省GPS基准站现有资源进行北斗水汽电离层监测系统(简称BDS)基准站建设,主要包括现有GPS基准站的情况介绍,北斗水汽电离层监测系统(BDS)基准站的站点选址、探测环境测试、设备安装调试等的设计与实现。湖北省BDS基准站作为我国气象部门首个基于北斗水汽电离层监测示范系统,对今后基准站的建设具有一定的借鉴意义。     

青藏高原MODIS地表反照率和GLASS地表反照率的对比分析

对比分析了青藏高原MODIS地表反照率产品和GLASS地表反照率产品的空间分布连续性、高质量反演结果的比例,应用青藏高原CAMP/Tibet试验期间的高精度观测数据评估了两种产品的精度,通过人工目视解译MODIS地表反射率图像并结合MODIS积雪产品分析了影响两种产品精度的原因,结果表明：1）GLASS地表反照率产品具有比MODIS地表反照率产品更好的空间分布连续性和更高的反演质量;2）绝大多数时段内两种产品都能与地面观测结果保持较好的一致性,能准确地反映地表反照率的异常变化过程;3）局地积雪是影响两种产品精度的重要因素之一;4）积雪条件下,GLASS地表反照率反演算法比MODIS地表反照率反演算法更具优势。研究结果有助于促进人们对地表反照率卫星遥感反演产品的认识,改进青藏高原地表反照率卫星遥感反演算法,提高青藏高原地表反照率卫星遥感反演结果的精度、反演质量和空间分布连续性。     

确定卫星与接收机信号延迟偏差的新方法及其应用

单频ＧＰＳ接收机用户通常需要进行电离层延迟改正,电离层延迟改正量通常来源于电离层延迟改正模型或双频ＧＰＳ基准站信息,后者即是利用双频ＧＰＳ观测值估计电子含量总数,求解电离层延迟改正量。利用双频ＧＰＳ观测值估计电子含量总数,一个关键总是是去掉卫星与接收信号延迟偏差。     

星载高光谱成像光谱仪的特性与应用

介绍了星载高光谱成像光谱仪的种类、技术参数和数据特点,指出了成像光谱数据处理软件包应具有的功能,概括了成像光谱仪数据的应用前景。     

Ionospheric potential as a proxy index for global temperature

Since the global circuit is maintained by currents from thunderstorms and electrified clouds, which are controlled by temperature, we are investigating the use of ionospheric potential (V_I) as a measure of the variation of global temperature. We report positive correlation between V_I and global temperature obtained from three different data sets. V_I is also positively correlated with an inferred global lightning/deep cloud index which is positively correlated with global temperature. Thus, there is a consistent picture of warmer temperatures leading to more deep convection and higher V_I. Since a series of single V_I soundings at any appropriate location may provide a globally representative measure of temperature variation in real time, it is suggested that routine monitoring of this parameter could provide considerable cost and operational advantages compared to current methodology involving observations at thousands of ground stations and satellite radiation measurements.