Ionospheric and receiver DCB-constrained multi-GNSS single-frequency PPP integrated with MEMS inertial measurements

Single-frequency precise point positioning (SF-PPP) is a potential precise positioning technique due to the advantages of the high accuracy in positioning after convergence and the low cost in operation. However, there are still challenges limiting its applications at present, such as the long convergence time, the low reliability, and the poor satellite availability and continuity in kinematic applications. In recent years, the achievements in the dual-frequency PPP have confirmed that its performance can be significantly enhanced by employing the slant ionospheric delay and receiver differential code bias (DCB) constraint model, and the multi-constellation Global Navigation Satellite Systems (GNSS) data. Accordingly, we introduce the slant ionospheric delay and receiver DCB constraint model, and the multi-GNSS data in SF-PPP modular together. In order to further overcome the drawbacks of SF-PPP in terms of reliability, continuity, and accuracy in the signal easily blocking environments, the inertial measurements are also adopted in this paper. Finally, we form a new approach to tightly integrate the multi-GNSS single-frequency observations and inertial measurements together to ameliorate the performance of the ionospheric delay and receiver DCB-constrained SF-PPP. In such model, the inter-system bias between each two GNSS systems, the inter-frequency bias between each two GLONASS frequencies, the hardware errors of the inertial sensors, the slant ionospheric delays of each user-satellite pair, and the receiver DCB are estimated together with other parameters in a unique Kalman filter. To demonstrate its performance, the multi-GNSS and low-cost inertial data from a land-borne experiment are analyzed. The results indicate that visible positioning improvements in terms of accuracy, continuity, and reliability can be achieved in both open-sky and complex conditions while using the proposed model in this study compared to the conventional GPS SF-PPP.     

风暴尺度集合预报最优侧边界条件扰动方法设计:个例分析

考虑到全球预报模式与风暴尺度预报模式在分辨率上的显著差异,在构造风暴尺度集合预报系统的时候需要用一个中间分辨率的中尺度区域模式为风暴尺度模式提供侧边界条件扰动,但如何构造侧边界扰动才能更为有效地提高风暴尺度集合预报系统的预报能力目前仍然未知。本文基于WRF模式,通过一次个例试验设计了风暴尺度集合预报中的3种不同侧边界扰动方案,结果表明:直接通过0.5°水平分辨率全球集合预报扰动插值所得到的侧边界扰动(LBC_DOWN)在预报中可以获得较高的大尺度扰动能量,而在中尺度区域模式(本文中为模式外层)中通过ETKF循环所构造的侧边界条件扰动(LBC_CYCLE)包含较高的中小尺度能量,而将LBC_CYCLE中的中尺度扰动信息与LBC_DOWN中的大尺度扰动信息相混合所得到的混合侧边界扰动(LBC_BLEND)在大尺度能量上更接近于LBC_DOWN,在中小尺度能量上更接近于LBC_CYCLE;LBC_BLEND较前两种方案有着更好的离散度技巧表现;在降水概率预报技巧方面LBC_BLEND与LBC_CYCLE较为接近,且均优于LBC_DOWN。     

气象卫星的云观测

云体现着不同尺度天气系统发生、发展和消亡的过程。云还通过反射太阳辐射和阻止地球发射辐射,维持着全球能量平衡。1960年气象卫星的出现,揭开了从浩瀚太空,俯视千变万化云系的历史。气象卫星云图的获取,加深了人们对天气、气候变化过程的认识,推进了大气科学的发展。本文围绕气象卫星云遥感主题,首先概述了利用卫星资料开展云检测、云相态识别、云光学厚度与等效粒子半径反演的原理和方法。而后,着重介绍了各类天气尺度和中尺度天气过程的云系特征。最后,文章回顾了国际卫星云气候方面的工作,展望了未来云观测技术的发展前景。     

Conceptual Framework for Key Element Identification in Important Agricultural Heritage Systems (IAHS): Case of Honghe Hani Rice Terraces System in China

With the continuous emergence of global development problems, the dynamic conservation and sustainable development of Important Agricultural Heritage Systems (IAHS) have been assigned greater importance. However, due to the complex structure, multi-component, dynamic, and open characteristics of IAHS, there are neglected problems which need to be solved in conservation practice, such as component element ambiguity, obscurity of the conservation redline, etc. This study defined the concept of key elements (KE) of IAHS, put forward a conceptual framework of KE identification, conducted empirical research by taking Honghe County of Honghe Hani Rice Terraces System (HHRTS) as an example and analyzed the level of recognition motivations for different stakeholder groups. The following conclusions were drawn: 1) The KE of HHRTS are grain crops, rice species biodiversity, terrace construction and maintenance technique, Hani traditional festivals, Hani traditional foods, and virgin forest; 2) The reasons behind the KE priorities of farmers, businessmen and tourists were at the micro level, the reasons of officers were at the middle level and the reasons of researchers were at the macro level. The empirical study conducted in HHRTS showed that the proposed conceptual framework could identify KE of IAHS effectively, and provided a theoretical perspective for the structuring of and essential need for IAHS research. Moreover, the KE recognition levels of different stakeholder groups reflected their potential action strategies. We should focus on the coherence of policies and measures in both the microscale and macroscale to balance the diversified demands of stakeholders, and to stimulate their enthusiasm for participation in the conservation in order to improve the management level of IAHS sites.     

晚冰期以来大柴旦盐湖沉积记录的古气候演变及其尘暴事件

本文选择大柴旦盐湖DCD03沉积剖面柱硼镁石矿层下伏土黄色淤泥质粉砂层为研究对象,基于AMS ₁₄C年代学、岩性地层学、矿物学以及地球化学等研究方法,旨在探讨土黄色湖相淤泥质粉砂沉积记录的尘暴事件,以及重建晚冰期以来西风环流显著影响区的水文气候变化。研究结果表明,DCD03沉积剖面的淤泥质粉砂样品粒度频率曲线呈现为双峰态,主峰(均值10 μm)反映了河流作用携带入湖的细粒组分,次峰(﹥32 μm)则反映了风力作用以及河流作用等携带入湖的粗粉砂粒组分。大于64 μm的砂砾组分可能代表外源风尘物质的输入,由尘暴天气携带入湖。大柴旦地区晚冰期以来依次出现了博令和阿勒罗德暖期(12.94~12.17 cal. ka BP)、新仙女木冷期(12.17~11.37 cal. ka BP)、不稳定的早全新世气候(11.37~8.64 cal. ka BP)以及趋于偏冷干的中全新世早期(8.64~7.39 cal. ka BP)。     

不同同化方案在一次梅雨锋暴雨预报中的应用研究

基于ATOVS辐射率资料和GTS常规观测资料融合,通过不同化任何观测资料的控制试验、3DVAR同化试验和ETKF-3DVAR混合同化试验,对2013年7月4—5日一次梅雨锋暴雨天气过程进行模拟分析。结果表明:混合同化方案能够明显地提高暴雨预报准确率,且有效改善了风场、温度场和相对湿度场等各个气象要素的初始场结构,而这些气象要素对于暴雨的预报准确性具有重要作用。且混合同化方案对于中低层大气改进效果较为明显。在数值积分过程中,随着时间的推移,混合同化方案的优势逐渐减弱。     

全球变化背景下景观生态适应性特征

全球变化包含气候变化、经济发展、土地利用变化等自然、人为及共同作用下引发的转变,是当前景观结构与功能保障面临的主要挑战。景观生态适应性是指景观这一地表镶嵌体吸纳上述影响并维持主要功能的特性,涉及不同景观类型、组成单元及层级在不同时空尺度中的不同程度转变。本文从景观生态学视角切入,以景观系统作为缓解与适应全球变化冲击的主体,整合农业景观、城市景观等相关研究案例,凝练当前景观系统适应全球变化过程的特征为：①由部分因子的绝对主导转向复合因子共同作用;②景观类型内部趋同,景观多样性及独特性降低;③同类景观间功能等级分明、分工明确,跨区域时空联系增强;④不同景观类型间空间边界清晰,过渡带景观功能退化。就当前全球变化议题,建议后续研究应加强：不同景观类型或组成单元的适应能力对比及其不确定性分析;基于景观系统整体健康的适应途径尺度联系解析;多学科、多部门研究在全球变化情景下的有效整合;景观系统适应性或适应能力量化分析方法的深化。     

EnSRF雷达资料同化对一次强对流天气模拟的影响研究

利用ARPS(Advanced Regional Prediction System)模式和具有流依赖背景误差协方差的集合均方根滤波(Ensemble Square Root Filter,简称En SRF)方法,通过同化多部多普勒雷达资料,对2013年6月23日的强对流天气过程进行了研究。首先对比同化试验和观测的组合反射率因子,检验了同化效果。通过计算均方根误差和离散度,进一步定量评估了同化结果。再对比模式变量,综合分析了En SRF雷达资料同化对模式热力、动力、湿度和微物理量等变量的影响。最后对集合平均场进行1 km的高分辨率数值模拟。结果表明:En SRF能够同化出与观测类似的对流系统,且减弱了南北部的虚假回波。径向风和反射率因子的均方根误差明显减少。En SRF雷达同化能够明显优化模式的初始场,同化试验的回波在垂直方向上范围增加,强度偏弱。在强对流区域,低层的冷池温度最多降低6 K,相对湿度最多增加30%。对流区域的雨水、冰晶和雪的混合比均有明显增加。模拟发现同化试验能够较好地模拟出对流系统的结构和位置。     

京、津、唐地区中元古代沉积型海泡石粘土矿床

京、津、唐地区沉积型海泡石粘土矿分布广泛。含矿岩系为蓟县系雾迷山组富镁碳酸盐岩,区域构造简单,岩浆活动微弱。研究成果表明:本区海泡石粘土矿矿点多,储量丰富,矿层厚度大,埋藏浅,易开采。矿石矿物组合简单,化学成分富镁钙低硅,物理-化学性能优良。经选矿试验海泡石粘土矿可选性良好,回收率高,成本低廉,开发前景可观。